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WO2020221117A1 - Procédé d'indication de coefficients permettant la construction d'une matrice de précodage et appareil de communication - Google Patents

Procédé d'indication de coefficients permettant la construction d'une matrice de précodage et appareil de communication Download PDF

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Publication number
WO2020221117A1
WO2020221117A1 PCT/CN2020/086593 CN2020086593W WO2020221117A1 WO 2020221117 A1 WO2020221117 A1 WO 2020221117A1 CN 2020086593 W CN2020086593 W CN 2020086593W WO 2020221117 A1 WO2020221117 A1 WO 2020221117A1
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WIPO (PCT)
Prior art keywords
weighting coefficients
csi report
indication
bits
reported
Prior art date
Application number
PCT/CN2020/086593
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English (en)
Chinese (zh)
Inventor
王潇涵
金黄平
毕晓艳
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华为技术有限公司
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Publication of WO2020221117A1 publication Critical patent/WO2020221117A1/fr

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0621—Feedback content
    • H04B7/0626—Channel coefficients, e.g. channel state information [CSI]

Definitions

  • This application relates to the field of communications, and more specifically, to a coefficient indicating method and communication device for constructing a precoding matrix.
  • Massive MIMO massive multiple-input multiple output
  • network equipment can reduce interference between multiple users and interference between multiple signal streams of the same user through precoding technology. Thereby improving signal quality, realizing space division multiplexing, and improving spectrum utilization.
  • the terminal device may determine the precoding vector by means of channel measurement, for example, and hopes that through feedback, the network device can obtain the same or similar precoding vector as the precoding vector determined by the terminal device. In order to obtain higher feedback accuracy, the terminal device can fit the precoding vector determined by the channel measurement through multiple beam weighting methods. The terminal device may feed back the beam used for weighting and the weighting coefficient to the network device, so that the network device constructs a precoding matrix based on the feedback of the terminal device.
  • the channel state information (CSI) report reported by the terminal device may not necessarily include all the information to be fed back determined by channel measurement.
  • the weighting coefficient reported by the terminal device may be a part of all weighting coefficients with a non-zero amplitude.
  • the network device cannot know in advance what information the terminal device reports, it may not be able to accurately estimate the cost of the second part of the CSI report, and it may not be able to decode it correctly. Therefore, the network device may not be able to accurately obtain the information in the CSI report, thereby affecting the system transmission performance.
  • This application provides a coefficient indicating method and communication device for constructing a precoding matrix, in order to clarify how to indicate the number of weighting coefficients in a CSI report.
  • a coefficient indicating method for constructing a precoding matrix includes: the terminal device generates a channel state information CSI report, the CSI report including quantization information of K 1 weighting coefficients and first indication information; wherein the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, The K 1 weighting coefficients are used to construct a precoding matrix corresponding to one or more frequency domain units; the first indication information is used to indicate whether the K 1 weighting coefficients are reported by the terminal device based on the pre-configured weighting coefficients.
  • All weighting coefficients with non-zero amplitudes determined by the number K 0 is K 2 , K 1 ⁇ K 2 ⁇ K 0 , K 0 , K 1 and K 2 are both positive integers; the terminal device sends the CSI report.
  • this method may be executed by a terminal device, or may also be executed by a chip configured in the terminal device. This application does not limit this.
  • the terminal device carries the first indication information in the CSI report to indicate whether the weighting coefficient reported by the terminal device is all non-zero weighting coefficients determined by the terminal device based on K 0 and channel measurement , So that the network equipment can determine the K 1 weighting coefficients reported by the terminal equipment based on the CSI report, and determine whether the reported weighting coefficients are all non-zero weighting coefficients determined by the terminal equipment based on K 0 and channel measurement. Based on this, the network device can parse the first part of the CSI report according to the predefined CSI report format, and estimate the length of the second part of the CSI report, so as to complete the correct decoding of the second part of the CSI report. Therefore, the network device can determine the precoding matrix used for data transmission based on the information in the CSI report, which is beneficial to improve the system transmission performance.
  • the network device has learned whether the terminal device has discarded the weighting coefficient, and can consider allocating more physical uplink resources for the terminal device in the next scheduling to transmit the CSI report. On the contrary, if the network device does not know that the terminal device discards part of the weighting coefficients with a non-zero amplitude when reporting the CSI report, the network device will not infer that the physical uplink resources allocated to the terminal device during this scheduling are insufficient. In the next scheduling, the terminal device may still be allocated resources of the same size, and the terminal device may discard a part of the weighting coefficients with a non-zero amplitude each time it reports. This may seriously affect the feedback accuracy and is not conducive to improving the data transmission performance.
  • the network device can determine whether the physical uplink resources allocated to the terminal device in the previous scheduling are sufficient according to the first indication information, and can also be based on the information obtained in the previous scheduling in the next scheduling, such as K 2. Allocate appropriate physical uplink resources for terminal equipment. Therefore, it is beneficial to improve the feedback accuracy and the transmission performance.
  • the method further includes: the terminal device receives second indication information, where the second indication information is used to indicate the number of weighting coefficients configured for the terminal device to report. K 0 .
  • the number of weighting coefficient reports pre-configured by the network device for the terminal device that is, the maximum number of weighting coefficients reported by the terminal device, or in other words, the maximum number of weighting coefficients reported.
  • the network equipment can pre-instruct the maximum number of weighting coefficients to be reported for the terminal equipment through high-level signaling.
  • a coefficient indication method for constructing a precoding matrix includes: the network device receives a channel state information CSI report, the CSI report including quantization information of K 1 weighting coefficients and first indication information; wherein, the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, The K 1 weighting coefficients are used to construct a precoding matrix corresponding to one or more frequency domain units; the first indication information is used to indicate whether the K 1 weighting coefficients are the number reported by the terminal device based on the pre-configured weighting coefficients All amplitude weighting coefficients K 0 determined non-zero, the terminal device based on the number of all non-zero amplitude weighting coefficient K 0 is determined as K 2, K 1 ⁇ K 2 ⁇ K 0, K 0, K 1 And K 2 are both positive integers; the network device determines according to the CSI report whether the K 1 weighting coefficients and the K 1 weighting coefficients are all the amplitudes determined by the
  • this method may be executed by a network device, or may also be executed by a chip configured in the network device. This application does not limit this.
  • the terminal device carries the first indication information in the CSI report to indicate whether the weighting coefficient reported by the terminal device is all non-zero weighting coefficients determined by the terminal device based on K 0 and channel measurement , So that the network equipment can determine the K 1 weighting coefficients reported by the terminal equipment based on the CSI report, and determine whether the reported weighting coefficients are all non-zero weighting coefficients determined by the terminal equipment based on K 0 and channel measurement. Based on this, the network device can parse the first part of the CSI report according to the predefined CSI report format, and estimate the length of the second part of the CSI report, so as to complete the correct decoding of the second part of the CSI report. Therefore, the network device can determine the precoding matrix used for data transmission based on the information in the CSI report, which is beneficial to improve the system transmission performance.
  • the network device has learned whether the terminal device has discarded the weighting coefficient, and can consider allocating more physical uplink resources for the terminal device in the next scheduling to transmit the CSI report. On the contrary, if the network device does not know that the terminal device discards part of the weighting coefficients with a non-zero amplitude when reporting the CSI report, the network device will not infer that the physical uplink resources allocated to the terminal device during this scheduling are insufficient. In the next scheduling, the terminal device may still be allocated resources of the same size, and the terminal device may discard a part of the weighting coefficients with a non-zero amplitude each time it reports. This may seriously affect the feedback accuracy and is not conducive to improving the data transmission performance.
  • the network device can determine whether the physical uplink resources allocated to the terminal device in the previous scheduling are sufficient according to the first indication information, and can also be based on the information obtained in the previous scheduling in the next scheduling, such as K 2. Allocate appropriate physical uplink resources for terminal equipment. Therefore, it is beneficial to improve the feedback accuracy and the transmission performance.
  • the method further includes: the network device sending second indication information, the second indication information being used to indicate the number of weighting coefficients configured for the terminal device to report K 0 .
  • the number of weighting coefficient reports pre-configured by the network device for the terminal device that is, the maximum number of weighting coefficients reported by the terminal device, or in other words, the maximum number of weighting coefficients reported.
  • the network equipment can pre-instruct the maximum number of weighting coefficients to be reported for the terminal equipment through high-level signaling.
  • K 1 and K 2 it can be determined according to the magnitude relationship between K 1 and K 2 whether the K 1 weighting coefficients are all weighting coefficients with non-zero amplitudes determined by the terminal device based on the number of weighting coefficients reported by the pre-configured K 0 . If K 1 ⁇ K 2 , it means that K 1 weighting coefficients are not all weighting coefficients with non-zero amplitudes determined by the terminal device based on the number of pre-configured weighting coefficients reported by K 0 , or that the terminal device discards K 2 amplitudes Part of the non-zero weighting coefficient.
  • K 1 K 2 , it means that the K 1 weighting coefficients are all non-zero weighting coefficients determined by the terminal device based on the pre-configured weighting coefficient report number K 0 , or in other words, the terminal device does not discard K 2 amplitudes Any one of the non-zero weighting coefficients.
  • the network device can allocate physical uplink resources to the terminal device based on the value of K 2 during the next scheduling, so that more comprehensive feedback information can be obtained during the next feedback, which is beneficial to improve system transmission. performance.
  • the K 2 indication is carried in the first part of the CSI report, and the K 1 indication is carried in the second part of the CSI report.
  • K 2 can be indicated by a binary number, for example, or by other existing possible indication methods.
  • the value of K 1 may also be indicated by a binary number, or may be indicated by a bitmap, or indicated by other existing possible indication methods. This application does not limit the specific instructions of K 1 and K 2 .
  • the first indication information includes a first indication bit, and the first indication bit is used to indicate whether the K 1 weighting coefficients are based on the terminal equipment preset
  • the configured weighting coefficients report all weighting coefficients with a non-zero amplitude determined by the number K 0 .
  • the overhead of the first indicator bit may be 1 bit.
  • This 1 bit can be used to indicate yes or no.
  • the first indication bit when the first indication bit is set to "0", it means that the K 1 weighting coefficients are all weighting coefficients with non-zero amplitudes determined by the terminal device based on the number of weighting coefficients reported by the pre-configured K 0 , that is, the terminal device has no Discard any of the K 2 weighting coefficients; when the first indication bit is set to "1", it means that the K 1 weighting coefficients are not all determined by the terminal device based on the number of weighting coefficients reported by the pre-configured K 0 A weighting coefficient with a non-zero amplitude, that is, the terminal device discards some of the K 2 weighting coefficients.
  • the meanings represented by different values in the first indicator bit may be determined according to a preset rule, and the present application does not limit the meanings corresponding to different values.
  • the first indication bit is carried in the second part of the CSI report.
  • the first indication information includes a second indication bit
  • the second indication bit indicates a weighting coefficient among K 2 weighting coefficients that is not reported through the CSI report The number of.
  • the second indication bit can simultaneously indicate whether the terminal device discards the weighting coefficient and how many weighting coefficients are discarded through more indication bits.
  • the overhead of the second indication bit is Bit, corresponding to K 0 -K 1 +1 optional values; among them, K 0 is the number of pre-configured weighting coefficient reports, K 0 is a positive integer; the K 0 -K 1 +1 optional The value of includes K 0 -K 1 +1 possible values of the number of weighting coefficients not reported by the CSI report.
  • the number of weighting coefficients pre-configured by the network equipment is K 0
  • the number of weighting coefficients actually reported by the terminal equipment is K 1
  • the number of weighting coefficients discarded by the terminal equipment does not exceed K 0 -K 1 .
  • the weighting coefficient is not discarded that is, K 0 -K 1 is 0, and the K 0 -K 1 +1 optional values may include the number of weighting coefficients not reported through the CSI report.
  • the number of possible values K 0 -K 1 +1 This indicates whether the terminal device discards the weighting coefficients and how many weighting coefficients are discarded.
  • the network device can determine how many weighting coefficients are discarded according to the second indicator bit, and can allocate physical uplink resources to the terminal device based on the value of K 2 in the next scheduling, so that a more comprehensive feedback can be obtained in the next feedback.
  • the feedback information is therefore helpful to improve system transmission performance.
  • the second indication bit is carried in the second part of the CSI report.
  • the first part of the reported CSI comprises an indication of K 1.
  • the network device By including the indication of K 1 in the first part of the CSI report, it is convenient for the network device to estimate the length of the second part of the CSI report according to the number of weighting coefficients actually reported.
  • the CSI The overhead of the second part of the report is X 2 bits; or, if the number of bits Q required for the second part of the CSI report determined based on the K 2 weighting coefficients is less than or equal to the pre-allocated number of bits X 2 , the CSI report
  • the length of the second part of the CSI report is related to K 2 and the number of pre-allocated bits X 2 .
  • the overhead of the second part of the CSI report can be estimated, and then the second part of the CSI report can be decoded, so as to obtain the information reported by the terminal device for constructing precoding
  • the coefficients of the matrix and other information such as spatial vector, frequency vector, etc.
  • a communication device which includes modules or units for executing the method in the first aspect and any one of the possible implementation manners of the first aspect.
  • the communication device includes a processing unit and a transceiver unit.
  • the processing unit is used to generate a CSI report, the CSI report including quantization information of K 1 weighting coefficients and first indication information; wherein, the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, and the K 1 weighting coefficients are used for Construct a precoding matrix corresponding to one or more frequency domain units;
  • the first indication information is used to indicate whether the K 1 weighting coefficients are all the amplitudes determined by the device based on the number of pre-configured weighting coefficient reports K 0 weighting coefficients to zero, the magnitude of the apparatus based on the number of all nonzero weighting coefficient K 0 is determined as K 2, K 1 ⁇ K 2 ⁇ K 0, K 0, K 1 and K 2 are positive integers; transceiver
  • the unit is used to send the CSI report.
  • a communication device including a processor.
  • the processor is coupled with the memory and can be used to execute instructions in the memory to implement the foregoing first aspect and the method in any one of the possible implementation manners of the first aspect.
  • the communication device further includes a memory.
  • the communication device further includes a communication interface, and the processor is coupled with the communication interface.
  • the communication device is a terminal device.
  • the communication interface may be a transceiver, or an input/output interface.
  • the communication device is a chip configured in a terminal device.
  • the communication interface may be an input/output interface.
  • the transceiver may be a transceiver circuit.
  • the input/output interface may be an input/output circuit.
  • a communication device which includes modules or units for executing the second aspect and the method in any one of the possible implementation manners of the second aspect.
  • the communication device includes a processing unit and a transceiver unit.
  • the transceiver unit is used to receive a CSI report;
  • the CSI report includes quantization information of K 1 weighting coefficients and first indication information; wherein, the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, and the K 1 weighting coefficients are used for Construct a precoding matrix corresponding to one or more frequency domain units;
  • the first indication information is used to indicate whether the K 1 weighting coefficients are all the amplitudes determined by the device based on the number of pre-configured weighting coefficient reports K 0 weighting coefficients to zero, the magnitude of the apparatus based on the number of all nonzero weighting coefficient K 0 is determined as K 2, K 1 ⁇ K 2 ⁇ K 0, K 0, K 1 and K 2 are positive integers;
  • processing The unit is configured to determine K 1 weighting coefficients and whether the K 1 weighting coefficients are all weighting coefficients with a non-zero amplitude determined by
  • a communication device including a processor.
  • the processor is coupled with the memory and can be used to execute instructions in the memory to implement the foregoing second aspect and the method in any one of the possible implementation manners of the second aspect.
  • the communication device further includes a memory.
  • the communication device further includes a communication interface, and the processor is coupled with the communication interface.
  • the communication device is a network device.
  • the communication interface may be a transceiver, or an input/output interface.
  • the communication device is a chip configured in a network device.
  • the communication interface may be an input/output interface.
  • the transceiver may be a transceiver circuit.
  • the input/output interface may be an input/output circuit.
  • a processor including: an input circuit, an output circuit, and a processing circuit.
  • the processing circuit is configured to receive a signal through the input circuit and transmit a signal through the output circuit, so that the processor executes any one of the first aspect to the second aspect and the first aspect to the second aspect. The method in the way.
  • the above-mentioned processor can be one or more chips
  • the input circuit can be an input pin
  • the output circuit can be an output pin
  • the processing circuit can be a transistor, a gate circuit, a flip-flop, and various logic circuits, etc.
  • the input signal received by the input circuit may be received and input by, for example, but not limited to, a receiver
  • the signal output by the output circuit may be, for example, but not limited to, output to and transmitted by the transmitter
  • the circuit can be the same circuit, which is used as an input circuit and an output circuit at different times.
  • the embodiments of the present application do not limit the specific implementation manners of the processor and various circuits.
  • a processing device including a processor and a memory.
  • the processor is used to read instructions stored in the memory, receive signals through a receiver, and transmit signals through a transmitter to execute any one of the first aspect to the second aspect and the first aspect to the second aspect.
  • processors there are one or more processors and one or more memories.
  • the memory may be integrated with the processor, or the memory and the processor may be provided separately.
  • the memory can be a non-transitory (non-transitory) memory, such as a read only memory (ROM), which can be integrated with the processor on the same chip, or can be set in different On the chip, the embodiment of the present application does not limit the type of memory and the setting mode of the memory and the processor.
  • ROM read only memory
  • sending instruction information may be a process of outputting instruction information from the processor
  • receiving capability information may be a process of the processor receiving input capability information.
  • the data output by the processor can be output to the transmitter, and the input data received by the processor can come from the receiver.
  • the transmitter and receiver can be collectively referred to as a transceiver.
  • the processing device in the above eighth aspect may be one or more chips.
  • the processor in the processing device can be implemented by hardware or software.
  • the processor may be a logic circuit, integrated circuit, etc.; when implemented by software, the processor may be a general-purpose processor, which is implemented by reading software codes stored in the memory, and the memory may Integrated in the processor, can be located outside of the processor, and exist independently.
  • a computer program product includes: a computer program (also called code, or instruction), which when the computer program is executed, causes the computer to execute the first aspect to the first aspect.
  • a computer program also called code, or instruction
  • a computer-readable medium stores a computer program (also called code, or instruction) when it runs on a computer, so that the computer executes the first aspect to the first aspect.
  • a computer program also called code, or instruction
  • a communication system including the aforementioned network equipment and terminal equipment.
  • FIG. 1 is a schematic diagram of a communication system suitable for a coefficient indication method for constructing a precoding matrix provided by an embodiment of the present application;
  • FIG. 2 is a schematic flowchart of a coefficient indicating method for constructing a precoding matrix provided by an embodiment of the present application
  • FIG. 3 is a schematic block diagram of a communication device provided by an embodiment of the present application.
  • Figure 4 is a schematic structural diagram of a terminal device provided by an embodiment of the present application.
  • Figure 5 is a schematic structural diagram of a network device provided by an embodiment of the present application.
  • GSM global system for mobile communications
  • CDMA code division multiple access
  • WCDMA broadband code division multiple access
  • GPRS general packet radio service
  • LTE long term evolution
  • LTE frequency division duplex FDD
  • TDD LTE Time division duplex
  • UMTS universal mobile telecommunication system
  • WiMAX worldwide interoperability for microwave access
  • 5G fifth generation
  • 5G fifth generation
  • NR new radio
  • V2X can include vehicle-to-network (V2N) and vehicle-to-vehicle (V2N), V2V), vehicle to infrastructure (V2I), vehicle to pedestrian (V2P), etc.
  • LTE-V long term evolution-vehicle
  • LTE-V vehicle networking
  • machine-type communications etc.
  • MTC Internet of things
  • IoT Internet of things
  • FIG. 1 is a schematic diagram of a communication system 100 applicable to an embodiment of the present application for constructing a coefficient indication method of a precoding matrix.
  • the communication system 100 may include at least one network device, such as the network device 110 shown in FIG. 1; the communication system 100 may also include at least one terminal device, such as the terminal device 120 shown in FIG. 1.
  • the network device 110 and the terminal device 120 may communicate through a wireless link.
  • Each communication device, such as the network device 110 or the terminal device 120 can be equipped with multiple antennas.
  • the configured multiple antennas may include at least one transmitting antenna for transmitting signals and at least one receiving antenna for receiving signals. Therefore, the communication devices in the communication system 100, such as the network device 110 and the terminal device 120, can communicate through multi-antenna technology.
  • the network device in the communication system may be any device with a wireless transceiver function.
  • the network equipment includes but not limited to: evolved Node B (eNB), radio network controller (RNC), Node B (NB), base station controller (BSC) ), base transceiver station (BTS), home base station (for example, home evolved NodeB, or home Node B, HNB), baseband unit (BBU), wireless fidelity (WiFi) systems
  • the access point (AP), wireless relay node, wireless backhaul node, transmission point (TP) or transmission and reception point (TRP), etc. can also be 5G, for example, NR, gNB in the system, or transmission point (TRP or TP), one or a group of antenna panels (including multiple antenna panels) of the base station in the 5G system, or it can also be a network node that constitutes a gNB or transmission point , Such as baseband unit (BBU), or distributed unit (DU), etc.
  • BBU baseband unit
  • DU distributed unit
  • the gNB may include a centralized unit (CU) and a DU.
  • the gNB may also include an active antenna unit (AAU for short).
  • CU implements some functions of gNB
  • DU implements some functions of gNB.
  • CU is responsible for processing non-real-time protocols and services, implementing radio resource control (RRC), and packet data convergence protocol (PDCP) The function of the layer.
  • RRC radio resource control
  • PDCP packet data convergence protocol
  • the DU is responsible for processing physical layer protocols and real-time services, and realizes the functions of the radio link control (radio link control, RLC) layer, media access control (MAC) layer, and physical (physical, PHY) layer.
  • RLC radio link control
  • MAC media access control
  • PHY physical layer
  • the network device may be a device that includes one or more of a CU node, a DU node, and an AAU node.
  • the CU can be divided into network equipment in an access network (radio access network, RAN), or the CU can be divided into network equipment in a core network (core network, CN), which is not limited in this application.
  • terminal equipment in the wireless communication system may also be referred to as user equipment (UE), access terminal, user unit, user station, mobile station, mobile station, remote station, remote terminal, mobile equipment, User terminal, terminal, wireless communication device, user agent or user device.
  • UE user equipment
  • the terminal device in the embodiment of the present application may be a mobile phone (mobile phone), a tablet computer (pad), a computer with wireless transceiver function, a virtual reality (VR) terminal device, and an augmented reality (AR) terminal Equipment, wireless terminals in industrial control, wireless terminals in unmanned driving (self-driving), wireless terminals in remote medical, wireless terminals in smart grid, transportation safety ( Wireless terminals in transportation safety, wireless terminals in smart cities, wireless terminals in smart homes, mobile terminals configured in transportation, and so on.
  • the embodiment of this application does not limit the application scenario.
  • FIG. 1 is only a simplified schematic diagram of an example for ease of understanding, and the communication system 100 may also include other network devices or other terminal devices, which are not shown in FIG. 1.
  • the processing procedure of the downlink signal at the physical layer before transmission may be executed by a network device, or may be executed by a chip configured in the network device.
  • the following are collectively referred to as network devices.
  • the codeword may be coded bits that have been coded (for example, including channel coding).
  • the codeword is scrambling to generate scrambled bits.
  • the scrambled bits undergo modulation mapping (modulation mapping) to obtain modulation symbols.
  • Modulation symbols are mapped to multiple layers, or transmission layers, through layer mapping.
  • the modulation symbols after layer mapping are precoding (precoding) to obtain a precoded signal.
  • the precoded signal is mapped to multiple REs after resource element (resource element, RE) mapping. These REs are then modulated by orthogonal frequency division multiplexing (OFDM) and then transmitted through an antenna port (antenna port).
  • OFDM orthogonal frequency division multiplexing
  • the sending device (such as network equipment) can process the signal to be sent by using a precoding matrix that matches the channel state when the channel state is known, so that the precoded signal to be sent and the channel Adaptation, thereby reducing the complexity of the receiving device (such as the terminal device) to eliminate the influence between channels. Therefore, through the precoding processing of the signal to be transmitted, the quality of the received signal (for example, the signal to interference plus noise ratio (SINR), etc.) can be improved. Therefore, the use of precoding technology can realize transmission on the same time-frequency resource between the sending device and multiple receiving devices, that is, realizing multiple user multiple input multiple output (MU-MIMO).
  • MU-MIMO multiple user multiple input multiple output
  • the sending device may also perform precoding in other ways. For example, when channel information (such as but not limited to a channel matrix) cannot be obtained, precoding is performed using a preset precoding matrix or a weighting processing method. For the sake of brevity, its specific content will not be repeated in this article.
  • Channel state information report It can also be referred to as CSI for short.
  • the CSI report may include, but is not limited to, precoding matrix indicator (PMI), rank indicator (rank indicator, RI), channel quality indicator (CQI), and channel state information reference signal (channel state information).
  • PMI precoding matrix indicator
  • rank indicator rank indicator
  • CQI channel quality indicator
  • channel state information reference signal channel state information reference signal
  • information reference signal CSI-RS resource indicator (CSI-RS resource indicator, CRI) and layer indicator (layer indicator, LI), etc.
  • the CSI may include one or more of the above-listed, and may also include other information used to characterize the CSI in addition to the above-listed, which is not limited in this application.
  • the terminal device may report one or more CSI reports in a time unit (such as a slot), and each CSI report may correspond to a configuration condition for CSI reporting.
  • the configuration condition of the CSI report can be determined by, for example, high-level signaling (such as an information element (IE) CSI reporting configuration (CSI-ReportingConfig) in a radio resource control (resource control, RRC) message).
  • IE information element
  • CSI-ReportingConfig CSI reporting configuration
  • RRC radio resource control
  • the CSI report configuration can be used to indicate the time domain behavior, bandwidth, and format corresponding to the report quantity of the CSI report.
  • the time domain behavior includes, for example, periodic, semi-persistent, and aperiodic.
  • the terminal device can generate a CSI report based on a CSI report configuration.
  • the content in the CSI report may be divided into two parts.
  • the CSI report may include a first part and a second part.
  • the first part can also be called part 1 (part 1).
  • the second part can also be called part 2 (part 2).
  • the first part and the second part can be coded independently.
  • the payload size of the first part may be predefined, and the payload size of the second part may be determined according to the information carried in the first part.
  • the network device may decode the first part according to the pre-defined payload size of the first part to obtain the information carried in the first part.
  • the network device may determine the payload size of the second part according to the information obtained from the first part, and then decode the second part to obtain the information carried in the second part.
  • first part and the second part are similar to part 1 (part 1) and part 2 (part 2) of the CSI defined in the NR protocol TS38.214 version 15 (release 15, R15).
  • the embodiments of the present application mainly relate to PMI reporting
  • the listing of the contents in the first part and the second part of the CSI report in the following embodiments only relates to PMI related information, and does not involve other information.
  • this should not constitute any limitation to this application.
  • the first part of the CSI report may also include one or more of CQI and LI, or may also include Other information about the feedback overhead can be predefined, and the second part of the CSI report can also include other information. This application does not limit this.
  • first part and the second part are named only for easy distinction, and should not constitute any limitation to the application. This application does not rule out the possibility of defining other names for the first and second parts in future agreements.
  • Precoding matrix indication can be used to indicate the precoding matrix.
  • the precoding matrix may be, for example, a precoding matrix determined by the terminal device based on the channel matrix of each frequency domain unit.
  • the channel matrix may be determined by the terminal equipment through channel estimation or other methods or based on channel reciprocity.
  • the specific method for the terminal device to determine the precoding matrix is not limited to the above, and the specific implementation can refer to the prior art. For brevity, it will not be listed here.
  • the precoding matrix can be obtained by performing singular value decomposition (SVD) on the channel matrix or the covariance matrix of the channel matrix, or it can be obtained by performing eigenvalue decomposition (eigenvalue decomposition) on the covariance matrix of the channel matrix. decopomsition, EVD).
  • SVD singular value decomposition
  • eigenvalue decomposition eigenvalue decomposition
  • EVD decopomsition
  • the network device may determine the precoding matrix corresponding to one or more frequency domain units based on the feedback of the terminal device.
  • the precoding matrix determined by the network equipment can be directly used for downlink data transmission; it can also undergo some beamforming methods, such as zero forcing (ZF), regularized zero-forcing (RZF), Minimum mean-squared error (MMSE), maximum signal-to-leakage-and-noise (SLNR), etc., to obtain the final precoding matrix for downlink data transmission.
  • ZF zero forcing
  • RZF regularized zero-forcing
  • MMSE Minimum mean-squared error
  • SLNR maximum signal-to-leakage-and-noise
  • the precoding matrix determined by the terminal device can be understood as the precoding matrix to be fed back.
  • the terminal device can indicate the precoding matrix to be fed back through the PMI, so that the network device can recover the precoding matrix based on the PMI.
  • the precoding matrix recovered by the network device based on the PMI may be the same or similar to the foregoing precoding matrix to be fed back.
  • this application does not limit the specific method for the terminal device to determine the precoding matrix to be fed back and the network device to restore the precoding matrix according to the feedback.
  • the terminal device can fit the precoding matrix to be fed back by the weighting of the space-frequency vector pair through the feedback mode of dual-domain compression, and combine the space vector and the frequency domain vector in each space-frequency vector pair with the space-frequency vector.
  • the weighting coefficient corresponding to the vector pair is fed back to the network device.
  • the network device may construct a precoding matrix corresponding to each frequency domain unit based on a corresponding method.
  • the terminal device can use the type II (type II) codebook feedback mode defined in the existing protocol to fit the precoding matrix to be fed back by the weighting of the beam vector, and fit the beam vector and the corresponding broadband The coefficients and subband coefficients are fed back to the network equipment.
  • the network device may construct a precoding matrix corresponding to each frequency domain unit based on a corresponding method.
  • the feedback method of the type II codebook please refer to the relevant description in the NR protocol TS38.214 version 15 (release 15, R15). For the sake of brevity, this article will not describe it in detail.
  • the terminal device may also feed back the precoding matrix to be fed back to the network device in other possible ways.
  • the terminal device can perform channel measurement based on the precoding reference signal, and the precoding matrix to be fed back determined based on the channel measurement can be fitted by the weighting of multiple reference signal ports, and each reference signal port and each The weighting coefficient corresponding to the reference signal port is fed back to the network device.
  • the network device may construct a precoding matrix corresponding to each frequency domain unit based on a corresponding method.
  • the precoding reference signal corresponding to each reference signal port can be obtained by precoding based on a space vector and a frequency vector. Therefore, the weight of the port is essentially the weight of the space-frequency vector pair.
  • the present application does not limit the correspondence between the reference signal port and the spatial vector and frequency domain vector.
  • the above-listed method for the terminal device to indicate the precoding matrix to be fed back based on the weight of the beam is only an example, and should not constitute any limitation in this application.
  • Frequency domain unit A unit of frequency domain resources, which can represent different granularity of frequency domain resources.
  • Frequency domain units may include, but are not limited to, for example, channel quality indicator (CQI) subband, 1/R of CQI subband, resource block (resource block, RB), subcarrier, resource block group ( resource block group (RBG) or precoding resource block group (PRG), etc.
  • CQI channel quality indicator
  • R is a positive integer.
  • the value of R can be 1 or 2, for example.
  • the PMI may be used to indicate a precoding matrix corresponding to a frequency domain unit, and the frequency domain unit may also be referred to as a PMI subband.
  • R may represent the ratio of the granularity of the CQI subband to the granularity of the PMI subband.
  • R is 1, the granularity of a CQI subband is the same as the granularity of a PMI subband; when R is 2, the granularity of a CQI subband is twice the granularity of a PMI subband.
  • the precoding matrix corresponding to the frequency domain unit may refer to a precoding matrix determined by performing channel measurement and feedback based on the reference signal on the frequency domain unit.
  • the precoding matrix corresponding to the frequency domain unit can be used to precode the data subsequently transmitted through the frequency domain unit.
  • the precoding matrix or precoding vector corresponding to the frequency domain unit may also be referred to simply as the precoding matrix or precoding vector of the frequency domain unit.
  • a precoding matrix can include one or more vectors, such as column vectors. Each column vector can correspond to a transport layer. In other words, the precoding matrix corresponding to a certain frequency domain unit may be determined based on the precoding vector of the frequency domain unit fed back from each transmission layer in one or more transmission layers.
  • the precoding vector of the same frequency domain unit constructed for the spatial vector, frequency domain vector and weighting coefficients fed back from different transmission layers is mathematically transformed, such as normalization processing, to obtain the frequency domain unit
  • the precoding matrix may be determined by the precoding vectors on one or more transmission layers corresponding to the same frequency domain unit. This application does not limit the mathematical transformation relationship between the precoding matrix and the precoding vector.
  • the precoding vector may refer to the precoding matrix.
  • the precoding vector may refer to a component of the precoding matrix on one transmission layer, or it may be a vector obtained by mathematical transformation of the component of the precoding matrix on a transmission layer. It should be understood that the precoding vector obtained by mathematically transforming the components of the precoding matrix on a transmission layer is only described to facilitate the description of the relationship between the precoding matrix and the precoding vector, and the network equipment and terminal equipment in this application should not determine the precoding vector.
  • the process of encoding the matrix constitutes any limitation.
  • Spatial domain vector or beam vector.
  • Each element in the spatial vector may represent the weight of each antenna port (antenna port). Based on the weight of each antenna port represented by each element in the space vector, the signals of each antenna port are linearly superimposed to form an area with a strong signal in a certain direction in space.
  • the antenna port may also be referred to as a port.
  • the antenna port can be understood as a transmitting antenna recognized by the receiving device, or a transmitting antenna that can be distinguished in space.
  • one antenna port can be pre-configured.
  • Each virtual antenna can be a weighted combination of multiple physical antennas.
  • Each antenna port can correspond to a reference signal. Therefore, each antenna port can be called a reference signal.
  • Ports for example, CSI-RS ports, sounding reference signal (sounding reference signal, SRS) ports, etc.
  • the reference signal may be a reference signal that has not been precoded, or a reference signal that has been precoded, which is not limited in this application.
  • the reference signal port may be a transmitting antenna port.
  • the transmitting antenna port may refer to an independent transceiver unit (transceiver unit, TxRU).
  • the reference signal port may be a port after dimensionality reduction is performed on the transmitting antenna port.
  • One reference signal port can correspond to one precoding vector.
  • the length of the space vector u may be the number of transmitting antenna ports N s in a polarization direction, and N s ⁇ 1 and an integer.
  • the spatial vector can be, for example, a column vector or a row vector with a length of N s . This application does not limit this.
  • the spatial vector is taken from a discrete Fourier transform (Discrete Fourier Transform, DFT) matrix.
  • DFT discrete Fourier Transform
  • Each column vector in the DFT matrix can be called a DFT vector.
  • the spatial vector can be a DFT vector.
  • the spatial vector may be, for example, a two-dimensional (2 dimensions, 2D)-discrete Fourier Transform (DFT) defined in a type II (type II) codebook in the NR protocol TS 38.214 version 15 (release 15, R15). ) Vector or oversampled 2D-DFT vector v l,m .
  • DFT discrete Fourier Transform
  • the spatial vector is one of the vectors used to construct the precoding vector.
  • Airspace vector set It can include a variety of airspace vectors of different lengths to correspond to different numbers of antenna ports.
  • the spatial vector used to construct the precoding vector may be determined from the set of spatial vectors.
  • the spatial vector set includes multiple candidate spatial vectors that can be used to construct a precoding vector.
  • the set of airspace vectors may include N s airspace vectors, and the N s airspace vectors may be orthogonal to each other.
  • Each spatial vector in the set of spatial vectors can be taken from a 2D-DFT matrix.
  • the N s airspace vectors can be denoted as The N s spatial vectors can construct a matrix B s ,
  • the set of spatial vectors can be expanded into O s ⁇ N s spatial vectors by an oversampling factor O s .
  • the set of airspace vectors may include O s subsets, and each subset may include N s airspace vectors.
  • the N s spatial vectors in each subset can be orthogonal to each other.
  • Each spatial vector in the set of spatial vectors can be taken from an oversampled 2D-DFT matrix.
  • the N s space vectors in the o s (1 ⁇ o s ⁇ O s and o s is an integer) subset of the set of space vectors can be denoted as Then the matrix can be constructed based on the N s spatial vectors in the o sth subset
  • each spatial vector in the spatial vector set can be taken from a 2D-DFT matrix or an oversampled 2D-DFT matrix.
  • Each column vector in the set of spatial vectors can be referred to as a 2D-DFT vector or an oversampled 2D-DFT vector.
  • the spatial vector can be a 2D-DFT vector or an oversampled 2D-DFT vector.
  • Frequency domain vector (frequency domain vector): a vector that can be used to represent the changing law of the channel in the frequency domain. Each frequency domain vector can represent a change law. Since the signal is transmitted through the wireless channel, it can reach the receiving antenna through multiple paths from the transmitting antenna. Multipath time delay causes frequency selective fading, which is the change of frequency domain channel. Therefore, different frequency domain vectors can be used to represent the changing law of channels in the frequency domain caused by delays on different transmission paths.
  • the frequency domain vector may be used to construct a combination of multiple space domain vectors and frequency domain vectors, or simply a space-frequency vector pair, with the above-mentioned spatial domain vector to construct a precoding vector.
  • the frequency domain vector is denoted as v.
  • the length of the frequency domain vector can be denoted as N 3 , N 3 ⁇ 1, and it is an integer.
  • Frequency domain vector set It can include a variety of frequency domain vectors of different lengths.
  • the frequency domain vector used to construct the precoding vector may be determined from the frequency domain vector set.
  • the frequency domain vector set includes multiple candidate frequency domain vectors that can be used to construct a precoding vector.
  • the frequency domain vector set may include N 3 frequency domain vectors.
  • the N 3 frequency domain vectors may be orthogonal to each other.
  • Each frequency domain vector in the frequency domain vector set can be taken from a DFT matrix or an inverse discrete Fourier transform (Inverse Discrete Fourier Transform, IDFT) matrix.
  • IDFT inverse discrete Fourier transform
  • the N f frequency domain vectors can be denoted as The N f frequency domain vectors can construct a matrix B f ,
  • the frequency-domain vector set can be extended over-sampling factor of O f O f ⁇ N 3 frequency-domain vectors.
  • the frequency-domain vector set may comprise O f subsets, each subset may include a frequency-domain vector N 3.
  • the N 3 frequency domain vectors in each subset may be orthogonal to each other.
  • Each subset can be called an orthogonal group.
  • Each frequency domain vector in the frequency domain vector set can be taken from an oversampled DFT matrix.
  • the oversampling factor O f is a positive integer.
  • the N 3 frequency domain vectors in the o f ( 1 ⁇ o f ⁇ O f and o f is an integer) subset of the frequency domain vector set can be denoted as Then the matrix can be constructed based on the N 3 frequency domain vectors in the o fth subset
  • each frequency domain vector in the frequency domain vector set can be taken from the DFT matrix or the oversampled DFT matrix, or from the IDFT matrix or the oversampled IDFT matrix.
  • each column vector in the frequency domain vector set may be referred to as a DFT vector or an oversampled DFT vector, or an IDFT vector or an oversampled IDFT vector.
  • the frequency domain vector can be a DFT vector or an oversampled DFT vector, or an IDFT vector or an oversampled IDFT vector.
  • a space-frequency component matrix can be determined through a space-domain vector and a frequency-domain vector.
  • a space-frequency component matrix may be determined by, for example, a conjugate transpose of a space-domain vector and a frequency-domain vector, such as u ⁇ v H , and its dimension may be N s ⁇ N 3 .
  • the space-frequency component matrix may be an expression form of a space-frequency basic unit determined by a space-domain vector and a frequency-domain vector.
  • the basic unit of space-frequency can also be expressed as a space-frequency component vector, for example, the space-frequency component vector can be determined by the Kronecker product of a space-domain vector and a frequency-domain vector; The space frequency vector is equal.
  • This application does not limit the specific manifestation of the basic air frequency unit. Those skilled in the art are based on the same concept, and various possible forms determined by a spatial domain vector and a frequency domain vector should fall within the protection scope of this application.
  • the operation relationship between the space-frequency component matrix and the space-domain vector and frequency-domain vector may also be different. This application does not limit the operational relationship between the space-frequency component matrix, the space-domain vector, and the frequency-domain vector.
  • Space frequency matrix It can be understood as an intermediate quantity used to determine the precoding matrix corresponding to each frequency domain unit.
  • the space-frequency matrix can be determined by the precoding matrix or the channel matrix corresponding to each frequency domain unit.
  • the space-frequency matrix may be obtained by the weighted sum of multiple space-frequency component matrices, so as to recover the downlink channel or precoding matrix.
  • the space frequency matrix can be denoted as H, Where w 1 to Is N 3 column vectors corresponding to N 3 frequency domain units, each column vector may be a precoding matrix corresponding to each frequency domain unit, and the length of each column vector may be N s .
  • the N 3 column vectors respectively correspond to precoding vectors of N 3 frequency domain units. That is, the space-frequency matrix can be regarded as a joint matrix formed by combining the precoding vectors corresponding to N 3 frequency domain units.
  • the space frequency matrix may correspond to the transmission layer.
  • the precoding vector of each frequency domain unit on the same transmission layer can construct the space-frequency matrix corresponding to the transmission layer.
  • the precoding vector of each frequency domain unit on the z-th transmission layer can be used to construct the space-frequency matrix corresponding to the z-th transmission layer.
  • the space-frequency matrix corresponding to the transmission layer is simply referred to as the space-frequency matrix of the transmission layer.
  • the space-frequency matrix is only an expression form used to determine the intermediate quantity of the precoding matrix, and should not constitute any limitation in this application.
  • a vector of length N s ⁇ N 3 can also be obtained, which can be called Space frequency vector.
  • the dimensions of the space-frequency matrix and the space-frequency vector shown above are only examples, and should not constitute any limitation to this application.
  • the space-frequency matrix may also be a matrix with a dimension of N 3 ⁇ N s .
  • each row vector may correspond to a frequency domain unit for determining the precoding vector of the corresponding frequency domain unit.
  • the dimension of the space-frequency matrix can be further expanded.
  • the dimension of the space-frequency matrix can be 2N s ⁇ N 3 or N 3 ⁇ 2N s . It should be understood that this application does not limit the number of polarization directions of the transmitting antenna.
  • Dual-domain compression It can include compression in the two dimensions of space-domain compression and frequency-domain compression.
  • Spatial compression may specifically refer to selecting one or more spatial vectors from the set of spatial vectors as the vector for constructing the precoding vector.
  • Frequency domain compression may refer to selecting one or more frequency domain vectors from a set of frequency domain vectors as a vector for constructing a precoding vector.
  • the matrix constructed by a spatial domain vector and a frequency domain vector may be called a spatial frequency component matrix, for example.
  • the selected one or more spatial vectors and one or more frequency domain vectors can construct one or more spatial frequency component matrices.
  • the weighted sum of the one or more space-frequency component matrices can be used to construct a space-frequency matrix corresponding to one transmission layer.
  • the space-frequency matrix can be approximated as a weighted sum of the space-frequency component matrix constructed from the selected one or more space-domain vectors and one or more frequency-domain vectors. Based on the space-frequency matrix corresponding to a transmission layer, the precoding vector corresponding to each frequency domain unit on the transmission layer can be determined.
  • the selected one or more spatial vectors can form a matrix W 1 , where each column vector in W 1 corresponds to a selected spatial vector.
  • the selected one or more frequency domain vectors may form a matrix W 3 , where each column vector in W 3 corresponds to a selected frequency domain vector.
  • L z space vectors can be selected for each polarization direction, and the dimension of W 1 can be 2N s ⁇ 2L z .
  • the dimension of W 3 H can be M z ⁇ N 3 .
  • Each column vector in W 3 can be a frequency domain vector.
  • each space vector in W 1 and each frequency vector in W 3 can form a space-frequency vector pair, and each space-frequency vector pair can correspond to a weighting coefficient, so there are 2L z space-domain vectors and M z
  • the 2L z ⁇ M z space-frequency vector pairs constructed by the two frequency domain vectors can correspond to the 2L z ⁇ M z weighting coefficients one-to-one.
  • the C is a coefficient matrix composed of the 2L z ⁇ M z weighting coefficients, and the dimension may be 2L z ⁇ M z .
  • the lth row in the coefficient matrix C may correspond to the lth spatial vector in the first polarization direction in the 2L z spatial vectors, and the L z +lth row in the coefficient matrix C may correspond to the 2L z spatial vectors The l-th spatial vector in the second polarization direction.
  • the m-th column in the coefficient matrix C may correspond to the m-th frequency-domain vector among the M z frequency-domain vectors.
  • the Z transmission layers may use their own independent spatial vectors.
  • the airspace vectors reported by the terminal device for the Z transmission layers may include the sum of the airspace vectors reported separately for each transmission layer. In this case, assuming that the number of airspace vectors reported by the terminal device for Z transport layers is L, then
  • the Z transmission layers may use their own independent frequency domain vectors, and the frequency domain vectors reported by the terminal device for the Z transmission layers may include the sum of frequency domain vectors respectively reported for each transmission layer.
  • the number of frequency domain vectors reported by the terminal device for Z transmission layers is M, then
  • Z transmission layers can share L spatial vectors.
  • the L spatial vectors reported by the terminal device can be used to construct the precoding vector of each frequency domain unit on any one of the Z transmission layers.
  • Z transmission layers may share M frequency domain vectors.
  • the M frequency domain vectors reported by the terminal device can be used to construct the precoding vector of each frequency domain unit on any one of the Z transmission layers.
  • the Z transmission layers can also be divided into multiple transmission layer groups, and one or more transmission layers in the same transmission layer group can share the space vector and/or frequency domain vector, and the transmission layers from different transmission layer groups Each independent spatial vector and/or frequency domain vector can be used.
  • the space-frequency matrix H and W 1 and W 3 shown above is only an example, and should not constitute any limitation to the application. Based on the same concept, those skilled in the art can perform mathematical transformations on the above-mentioned relationship to obtain other calculation formulas for representing the relationship between the space-frequency matrix H and W 1 , W 3 .
  • the terminal device can feed back the selected one or more spatial vectors and one or more frequency domain vectors to the network device during feedback, instead of being based on Each frequency domain unit (such as a subband) feeds back the weighting coefficient (such as amplitude and phase) of the subband respectively. Therefore, the feedback overhead can be greatly reduced.
  • the frequency domain vector can represent the change rule of the channel in the frequency
  • the linear superposition of one or more frequency domain vectors is used to simulate the channel change in the frequency domain. Therefore, a high feedback accuracy can still be maintained, so that the precoding matrix recovered by the network device based on the feedback of the terminal device can still better adapt to the channel.
  • the specific process for the terminal device to determine the PMI is the internal implementation behavior of the terminal device, and this application does not limit the specific process for the terminal device to determine the PMI.
  • the specific process for the network device to determine the precoding matrix according to the PMI is an internal implementation behavior of the network device, and this application does not limit the specific process for the network device to determine the precoding matrix according to the PMI.
  • the terminal device and the network device can use different algorithms to generate PMI and restore the precoding matrix.
  • weighting coefficients can also be called space-frequency combination coefficients, combination coefficients, etc.
  • Each weighting coefficient may correspond to a space vector and a frequency vector selected for constructing a precoding vector, or, in other words, a matrix of space-frequency components, or a pair of space-frequency vectors.
  • the weighting coefficient can be used to express the weight of the space-frequency component matrix constructed by constructing the precoding vector to a space-domain vector and a frequency-domain vector.
  • Each weighting factor can include amplitude and phase.
  • a is the amplitude and ⁇ is the phase.
  • each space-frequency vector pair may correspond to a weighting coefficient.
  • the amplitude (or amplitude) of some weighting coefficients may be zero or close to zero, and the corresponding quantized value may be zero.
  • the weighting coefficient that quantizes the amplitude by the quantization value of zero can be referred to as the weighting coefficient of zero amplitude.
  • some weighting coefficients have larger amplitudes, and their corresponding quantized values are not zero.
  • the weighting coefficient that quantizes the amplitude by the non-zero quantization value can be called the weighting coefficient of non-zero amplitude.
  • the multiple weighting coefficients corresponding to the multiple space-frequency vector pairs may be composed of one or more weighting coefficients with non-zero amplitude and one or more weighting coefficients with zero amplitude.
  • Transport layer It can also be referred to as a spatial layer, layer, transport stream, spatial stream, stream, etc.
  • the number of transmission layers used for data transmission between the network device and the terminal device may be determined by the rank of the channel matrix.
  • the terminal equipment can determine the number of transmission layers according to the channel matrix obtained by channel estimation.
  • the precoding matrix can be determined by performing singular value decomposition (SVD) on the channel matrix or the covariance matrix of the channel matrix. In the SVD process, different transmission layers can be distinguished according to the size of the characteristic value.
  • SVD singular value decomposition
  • the precoding vector determined by the eigenvector corresponding to the largest eigenvalue can be corresponding to the first transmission layer, and the precoding vector determined by the eigenvector corresponding to the smallest eigenvalue can be transmitted to the Zth transmission layer.
  • Layer correspondence That is, the eigenvalues corresponding to the first transmission layer to the Zth transmission layer decrease sequentially.
  • the CSI report reported by the terminal device to the network device may not contain all the information determined based on the channel measurement to construct the precoding matrix.
  • the physical uplink resources pre-allocated by the network device for the terminal device are insufficient to transmit all the information determined by the terminal device for constructing the precoding matrix.
  • how to indicate the number of weighting coefficients in the CSI report is not yet clear. If the definition of the indication of the number of weighting coefficients in the CSI report is not clear, it may cause the network device to make an error in the cost estimation of the second part of the CSI report, and thus cannot correctly decode the second part of the CSI report. Therefore, the network equipment may not be able to accurately obtain the information in the CSI report, and the precoding matrix used for data transmission determined during the downlink transmission may not be well adapted to the downlink channel, resulting in system transmission performance decline.
  • the number of weighting coefficients pre-configured by the network equipment for the terminal equipment to be reported is 20, and the number of weighting coefficients with non-zero amplitudes to be reported determined by the terminal equipment based on channel measurement is 18.
  • the number of weighting coefficients with a non-zero amplitude actually reported through the CSI report may be 15. If the network device estimates the length of the second part of the CSI report based on 18 weighting coefficients, the estimation of the length of the second part of the CSI report is not accurate.
  • the network device may not know whether the terminal device has discarded part of the non-zero amplitude The weighting factor.
  • the discarding of the weighting coefficient by the terminal device may be caused by insufficient physical uplink resources pre-allocated by the network device. If the network device cannot know whether the terminal device discards the weighting coefficient, it does not know whether the pre-allocated physical uplink resources are sufficient. In the subsequent multiple channel measurements, the terminal device may still be unable to obtain sufficient physical uplink resources to transmit the CSI report. This severely reduces the feedback accuracy and is detrimental to the transmission performance of the system.
  • this application provides a method for indicating coefficients for constructing a precoding matrix, and clearly defines how to indicate the number of weighting coefficients in a CSI report, so that the network device can accurately estimate the cost of the second part of the CSI report, so that the CSI The report is decoded correctly.
  • K 0 The number of weighting coefficients reported by the network equipment pre-configured for the terminal equipment, in other words, the maximum number of weighting coefficients reported by the terminal equipment, and K 0 is a positive integer.
  • K 1 The number of weighting coefficients reported by the terminal device to the network device through the CSI report, K 1 ⁇ K 0 , and K 1 is a positive integer. It can be understood that, in order to save overhead, the terminal device may only report the weighting coefficient with a non-zero amplitude to the network device, instead of reporting the weighting coefficient with a zero amplitude. Therefore, the K 1 weighting coefficients reported by the terminal device through the CSI report are all weighting coefficients with a non-zero amplitude.
  • K 2 The number of weighting coefficients with non-zero amplitude among the weighting coefficients determined by the terminal equipment based on the number of reported weighting coefficients K 0 pre-configured by the channel measurement and network equipment, K 1 ⁇ K 2 ⁇ K 0 , and K 2 Is a positive integer.
  • N s the number of transmitting antenna ports, N s is a positive integer.
  • N 3 the length of the frequency domain vector, N 3 is a positive integer.
  • L The number of airspace vectors reported by the terminal device, L is a positive integer.
  • multiple (such as Z) transmission layers can share L airspace vectors, so the number L of airspace vectors reported by the terminal device is the number of airspace vectors shared by multiple transmission layers. It should be noted that the L airspace vectors may be different from each other.
  • M The total number of frequency domain vectors reported by the terminal device, M is a positive integer.
  • multiple (such as Z) transmission layers may use independent frequency domain vectors respectively.
  • the zth (1 ⁇ z ⁇ Z, z is an integer) transmission layer in the Z transmission layers can use M z frequency domain vectors, so the total number of frequency domain vectors M reported by the terminal device can be The total number of frequency domain vectors reported by multiple transport layers, that is,
  • Z The number of transmission layers, which can be determined by the rank of the channel matrix, and Z is a positive integer.
  • z Corresponds to Z, can take a value in the range of 1 to Z, z is an integer.
  • serial numbers can be started from 1.
  • the Z transmission layers may include the first transmission layer to the Zth transmission layer, and so on, which will not be illustrated one by one here.
  • the specific implementation is not limited to this, for example, the serial number may also start from 0.
  • used to indicate may include used for direct indication and used for indirect indication.
  • the indication information may directly indicate I or indirectly indicate I, but it does not mean that I must be carried in the indication information.
  • the information indicated by the instruction information is called the information to be indicated.
  • the information to be indicated can be directly indicated, such as the information to be indicated or the information to be indicated. Indicates the index of the information, etc.
  • the information to be indicated can also be indicated indirectly by indicating other information, where there is an association relationship between the other information and the information to be indicated. It is also possible to indicate only a part of the information to be indicated, and other parts of the information to be indicated are known or agreed in advance. For example, it is also possible to realize the indication of specific information by means of the pre-arranged order (for example, stipulated in the agreement) of various information, thereby reducing the indication overhead to a certain extent.
  • the precoding matrix is composed of precoding vectors, and each precoding vector in the precoding matrix may have the same parts in terms of composition or other attributes.
  • the specific indication manner may also be various existing indication manners, such as, but not limited to, the foregoing indication manner and various combinations thereof.
  • the specific details of the various indication modes can be referred to the prior art, which will not be repeated here. It can be seen from the above that, for example, when multiple pieces of information of the same type need to be indicated, a situation where different information is indicated in different ways may occur.
  • the required instruction method can be selected according to specific needs.
  • the embodiment of the application does not limit the selected instruction method.
  • the instruction method involved in the embodiment of the application should be understood as covering the instructions to be Various methods for obtaining information to be indicated.
  • a row vector can be expressed as a column vector
  • a matrix can be expressed by the transposed matrix of the matrix
  • a matrix can also be expressed in the form of a vector or an array. It can be formed by connecting each row vector or column vector of the matrix, and the Kronecker product of two vectors can also be expressed in the form of the product of one vector and the transposed vector of another vector.
  • the information to be instructed can be sent together as a whole, or divided into multiple sub-information to be sent separately, and the sending period and/or sending timing of these sub-information can be the same or different.
  • the specific sending method is not limited in this application.
  • the sending period and/or sending timing of these sub-information may be pre-defined, for example, pre-defined according to a protocol, or configured by the transmitting end device by sending configuration information to the receiving end device.
  • the configuration information may include, but is not limited to, radio resource control signaling, such as RRC signaling, MAC layer signaling, such as MAC-CE signaling and physical layer signaling, such as downlink control information (DCI) One or a combination of at least two of them.
  • radio resource control signaling such as RRC signaling
  • MAC layer signaling such as MAC-CE signaling
  • DCI downlink control information
  • the first, second, and various numerical numbers are only for easy distinction for description, and are not used to limit the scope of the embodiments of the present application. For example, distinguish different indication information, different indication fields, etc.
  • pre-defined or “pre-configured” can be implemented by pre-saving corresponding codes, tables or other methods that can be used to indicate relevant information in the device (for example, including terminal devices and network devices).
  • the specific implementation method is not limited.
  • saving may refer to saving in one or more memories.
  • the one or more memories may be provided separately, or integrated in an encoder or decoder, a processor, or a communication device.
  • the one or more memories may also be partly provided separately, and partly integrated in the decoder, processor, or communication device.
  • the type of the memory can be any form of storage medium, which is not limited in this application.
  • the “protocols” involved in the embodiments of the present application may refer to standard protocols in the communication field, for example, may include LTE protocol, NR protocol, and related protocols applied to future communication systems, which are not limited in this application.
  • At least one refers to one or more, and “multiple” refers to two or more.
  • And/or describes the association relationship of the associated objects, indicating that there can be three relationships, for example, A and/or B, which can mean: A alone exists, both A and B exist, and B exists alone, where A, B can be singular or plural.
  • the character “/” generally indicates that the associated objects are in an "or” relationship.
  • "The following at least one item (a)” or similar expressions refers to any combination of these items, including any combination of a single item (a) or plural items (a).
  • At least one of a, b, and c can mean: a, or, b, or, c, or, a and b, or, a and c, or, b and c, or, a , B, and c.
  • a, b, and c can be single or multiple.
  • the method provided in the embodiments of the present application can be applied to a system that communicates through multiple antenna technology.
  • the communication system may include at least one network device and at least one terminal device.
  • Multi-antenna technology can be used to communicate between network equipment and terminal equipment.
  • the method provided in the embodiments of the present application is not limited to the communication between the network device and the terminal device, and can also be applied to the communication between the terminal device and the terminal device.
  • the application does not limit the application scenarios of the method. In the embodiments shown below, only for ease of understanding and description, the interaction between a network device and a terminal device is taken as an example to describe in detail the method provided in the embodiment of the present application.
  • the embodiments shown below do not particularly limit the specific structure of the execution body of the method provided by the embodiments of the present application, as long as the program that records the code of the method provided by the embodiments of the present application can be run according to the present application.
  • the method provided in the application embodiment only needs to communicate.
  • the execution subject of the method provided in the embodiment of the application may be a terminal device or a network device, or a functional module in the terminal device or network device that can call and execute the program.
  • FIG. 2 is a schematic flowchart of a coefficient indicating method 200 for constructing a precoding matrix according to an embodiment of the present application, shown from the perspective of device interaction. As shown in FIG. 2, the method 200 may include step 210 to step 250. The steps in the method 200 are described in detail below.
  • the terminal device In step 210, the terminal device generates a CSI report.
  • the CSI report includes quantization information of K 1 weighting coefficients and first indication information, and the first indication information is used to indicate whether the K 1 weighting coefficients are determined by the terminal device based on the number of pre-configured weighting coefficient reports K 0 All weighting coefficients with non-zero amplitude.
  • the CSI report may be determined by the terminal device based on the result of channel measurement.
  • the CSI report may include PMI, for example, to indicate the construction of a precoding matrix corresponding to each frequency domain unit.
  • the CSI report fed back by the terminal device based on dual-domain compression may include an indication of at least one spatial domain vector, an indication of at least one frequency domain vector, and quantization information of K 1 weighting coefficients.
  • the number of spatial vectors reported by the terminal device for all transmission layers is, for example, L (L is a positive integer), and the total number of frequency domain vectors reported by the terminal device for all transmission layers is, for example, M (M is a positive integer), then
  • L is a positive integer
  • M M is a positive integer
  • the total number of weighting coefficients K 1 reported by the terminal equipment for all transmission layers can satisfy: K 1 ⁇ L ⁇ M
  • the L space vectors are If the two polarization directions are shared, the number of weighting coefficients K 1 reported by the terminal device can satisfy: K 1 ⁇ 2L ⁇ M.
  • the number K 1 of weighting coefficients reported by the terminal device may satisfy: K 1 ⁇ 2L ⁇ M.
  • the method further includes: step 220, the network device sends second indication information, where the second indication information is used to indicate the number K 0 of weighting coefficients configured for the terminal device to be reported.
  • the terminal device receives the second indication information.
  • the number of weighting coefficient reports pre-configured by the network equipment for the terminal equipment is the maximum number of weighting coefficients reported by the terminal equipment. Therefore, the number K 1 of weighting coefficients actually reported by the terminal device is less than or equal to the pre-configured number K 0 of weighting coefficients to be reported.
  • ⁇ is a pre-configured coefficient, 0 ⁇ 1.
  • the value of ⁇ may be 1/2, 1/4, 3/4, etc., for example. This application does not limit this. It can be seen that K 0 ⁇ 2L ⁇ M. Therefore, K 1 ⁇ K 0 ⁇ 2L ⁇ M.
  • the terminal device may include a weighting coefficient with a zero amplitude and a weighting coefficient with a non-zero amplitude.
  • the terminal device may not report the weighting coefficients with a zero amplitude, but only report the weighting coefficients with a non-zero amplitude.
  • the number of weighting coefficients with non-zero amplitude among the 2L ⁇ M weighting coefficients determined by the terminal device may be greater than K 0 , or may be less than or equal to K 0 .
  • the terminal device may determine the K 0 weighting coefficients to be reported from the 2L ⁇ M weighting coefficients. For example, the terminal device may discard part of the weighting coefficients in the weighting coefficients of the Z-th transmission layer, so that the total number of weighting coefficients with a non-zero amplitude determined is less than or equal to K 0 . If the number of weighting coefficients with non-zero amplitude among the 2L ⁇ M weighting coefficients determined by the terminal device is less than or equal to K 0 , the terminal device may report all weighting coefficients with non-zero amplitude.
  • the number of weighting coefficients with a non-zero amplitude determined by the terminal device based on the channel measurement and the number of pre-configured weighting coefficient reports K 0 is less than or equal to K 0 .
  • the number of weighting coefficients with non-zero amplitude determined by the terminal equipment based on the channel measurement and the number of pre-configured weighting coefficient reports K 0 is denoted as K 2 , K 2 ⁇ K 0 , and K 2 is Positive integer.
  • the method for the terminal device to discard some of the weighting coefficients of the Z-th transmission layer is only an example. This application deals with the specific processing method of the terminal device when the total number of weighting coefficients with a non-zero amplitude is greater than K 0 Not limited.
  • the K 2 non-zero weighting coefficients determined by the terminal device may not all be reported to the network device through the CSI report.
  • the terminal device may only report part of the K 2 weighting coefficients.
  • the number of weighting coefficients reported by the terminal equipment through the CSI report is K 1
  • the K 1 weighting coefficients reported by the terminal equipment through the CSI report may be part or all of the K 2 weighting coefficients with non-zero amplitude. . That is, K 1 ⁇ K 2 . If K 1 ⁇ K 2 , it can be considered that the terminal device discards a part of the weighting coefficients with non-zero amplitude.
  • K 1 may represent the number of weighting coefficients after discarding
  • K 2 may represent the number of weighting coefficients before discarding.
  • the terminal device discards a part of the weighting coefficient with a non-zero amplitude.
  • the physical uplink resources allocated by the network device for the terminal device in advance for transmitting the CSI report are insufficient.
  • the network equipment may incorrectly estimate the rank of the channel. For example, if the estimated channel rank of the network equipment is 2, the physical uplink resources allocated to the terminal equipment are allocated based on the rank 2. However, the rank determined by the terminal device based on channel measurement is 3. In this case, the physical uplink resources pre-allocated by the network device may not be able to report all the information of the CSI determined by the terminal device based on the channel measurement to the network device.
  • the spatial vector and the frequency domain vector have a higher priority, and the terminal device does not want to discard the indication of the spatial vector and the frequency domain vector.
  • the terminal device may discard a part of the weighting coefficients of the determined non-zero amplitude to generate a CSI report whose bit overhead is less than or equal to the bit overhead that the physical uplink resource pre-allocated by the network device can carry.
  • the amplitude of some weighting coefficients may be much smaller than the amplitude of the other part of the weighting coefficients. That said, the effect may not be significant.
  • the network device does not know whether the terminal device discards part of the weighting coefficients with a non-zero magnitude when reporting the CSI report.
  • the network device can know whether the CSI report reported by the terminal device has discarded a part of the weighting coefficient with a non-zero amplitude, it is often beneficial. For example, if the terminal device discards a part of the weighting coefficient due to insufficient pre-allocated physical uplink resources, the network device can allocate more physical uplink resources that can be used to transmit CSI reports for the terminal device in the next scheduling.
  • the terminal device can carry the first indication information in the CSI report to indicate whether the K 1 weighting coefficients reported by the CSI report are all weighting coefficients with non-zero amplitudes determined by the terminal device based on channel measurement, as described above K 2 weighting coefficients mentioned above.
  • the first indication information can be used to indicate whether the K 1 weighting coefficients are all of the K 2 weighting coefficients.
  • the first indication information may be used to indicate whether K 1 is equal to K 2 .
  • the terminal device can indicate whether the K 1 weighting coefficients are all weighting coefficients with non-zero amplitudes determined by the terminal device based on channel measurement in many different ways. Hereinafter, in conjunction with specific embodiments, it will be described in detail how the terminal device indicates through the first indication information whether the K 1 weighting coefficients are all weighting coefficients with non-zero amplitude determined by the terminal device based on channel measurement. The details of the specific process are omitted here. description.
  • the terminal device may perform channel measurement based on the received reference signal, such as CSI-RS, to determine the spatial vector, frequency vector, and weighting coefficient used to construct the precoding matrix of each frequency domain unit.
  • the received reference signal such as CSI-RS
  • the terminal device can estimate the channel matrix based on the reference signal, by performing singular value decomposition on the channel matrix or the covariance matrix of the channel matrix, or by performing eigenvalue decomposition on the covariance matrix of the channel matrix. Way to determine the precoding vector of each frequency domain unit on each transmission layer. It should be understood that the specific method for determining the precoding vector based on the channel measurement can refer to the prior art. For brevity, a detailed description of the specific process is omitted here.
  • the terminal device can construct a space-frequency matrix corresponding to each transmission layer according to the precoding vector of each frequency domain unit on each transmission layer, and can determine at least one to be reported by performing spatial and frequency domain DFT on the space-frequency matrix
  • the spatial vector, at least one frequency domain vector, and at least one weighting coefficient corresponding to the at least one pair of the spatial frequency vector can construct a space-frequency matrix corresponding to each transmission layer according to the precoding vector of each frequency domain unit on each transmission layer, and can determine at least one to be reported by performing spatial and frequency domain DFT on the space-frequency matrix
  • the Z transmission layers may use their own independent airspace vectors, and the terminal device based on the L airspace vectors reported by the Z transmission layers may include, for example, the sum of the airspace vectors separately reported for each transmission layer. .
  • the Z transmission layers may use their own independent frequency domain vectors
  • the M frequency domain vectors reported by the terminal device based on the Z transmission layers may include, for example, the sum of frequency domain vectors separately reported for each transmission layer.
  • the Z transmission layers may also share L spatial vectors.
  • the terminal device can perform spatial DFT based on the spatial frequency matrix of the Z transmission layers to determine the stronger L spatial vectors.
  • the Z transmission layers can also share M frequency domain vectors.
  • the terminal device can perform frequency domain DFT based on the space-frequency matrix of the Z transmission layers to determine the stronger M frequency domain vectors.
  • the Z transmission layers can also be divided into multiple transmission layer groups, and one or more transmission layers in the same transmission layer group can share the space vector and/or frequency domain vector, and the transmission layers from different transmission layer groups Each independent spatial vector and/or frequency domain vector can be used.
  • the terminal device may perform spatial DFT based on the space-frequency matrix of one or more transmission layers in the same transmission layer group to determine at least one stronger spatial vector.
  • the at least one airspace vector may be part of the airspace vector in the L airspace vectors reported by the terminal device.
  • the terminal device can feed back M z frequency domain vectors and the corresponding weighting coefficients of some or all of the 2L ⁇ M z space frequency vector pairs.
  • 2L ⁇ M z space-frequency vector pairs represent the total number of space-frequency vectors in two polarization directions.
  • the terminal device can determine the L space vectors based on the space frequency matrix of one of the Z transmission layers. For example, the terminal device can determine the L space vectors based on the Z transmission layers.
  • the space frequency matrix of the first transmission layer in the transmission layer determines the L space vectors; the terminal device may also determine the L space vectors based on the space frequency matrix of each of the Z transmission layers.
  • the terminal device may perform spatial DFT on the space-frequency matrix of each of the Z transmission layers to determine the stronger L spatial vectors.
  • H z represents the space-frequency matrix of the z-th transmission layer.
  • the dimension of the space-frequency matrix can be 2N s ⁇ N 3 .
  • the H z can be a space-frequency matrix in each of the two polarization directions, with a dimension of N s ⁇ N 3 ; it can also be a space-frequency matrix with two polarization directions, with a dimension of 2N s ⁇ N 3 . This application does not limit this.
  • U s represents a matrix constructed from a plurality of (such as N s ) space vectors in a set of predefined space vectors.
  • N s space vectors
  • U s airspace substrate For convenience of distinction and instructions for performing a plurality of spatial DFT to determine a spatial vector construction spatial precoding matrix vector construct called matrix U s airspace substrate.
  • U s can be, for example, the previously defined set of spatial vectors B s that has not been oversampled or a subset of the set of spatial vectors that have been oversampled, such as Its dimension can be N s ⁇ N s to correspond to the space-frequency matrix in a polarization direction; or, it can be defined by the set of space vectors B s or Determine, such as the airspace vector set B s or Spliced together, such as or The dimension may be 2N s ⁇ 2N s to correspond to the space frequency matrix in the two polarization directions.
  • C' represents the coefficient matrix obtained by spatial DFT, and the dimension can be L ⁇ N s , or 2L ⁇ 2N s .
  • 2Z coefficient matrices with dimensions of L ⁇ N s or Z coefficient matrices with dimensions of 2L ⁇ 2N s obtained from spatial DFT can be obtained.
  • the 2Z coefficient matrices with dimensions of L ⁇ N s include Z coefficient matrices corresponding to each of the two polarization directions.
  • the terminal device may determine the stronger L spatial vectors based on multiple coefficient matrices in one polarization direction, or may determine the stronger L spatial vectors based on multiple coefficient matrices in two polarization directions.
  • the stronger L space vectors may be space vectors shared by Z transmission layers and two polarization directions.
  • the terminal device may determine the L rows with a larger sum of squares of the modulus according to the sum of the squares of the elements in each row of the coefficient matrix in the same polarization direction.
  • the sequence numbers of the L rows where the square sum of the modulus determined by the Z coefficient matrices is larger may be the sequence numbers of the L columns in the spatial base, and thus the L spatial vectors can be determined.
  • the M z frequency domain vectors reported by the terminal device for the z-th transmission layer may be determined based on the space-frequency matrix of the z-th transmission layer.
  • the dimension of the coefficient matrix C thus obtained can be 2L ⁇ M z .
  • C represents the coefficient matrix obtained by spatial and frequency domain DFT.
  • U f represents a matrix constructed from a plurality of (for example, N 3 ) spatial vectors in a predefined frequency domain vector set, and its dimension may be N 3 ⁇ N 3 .
  • U f can be, for example, a subset of the previously defined set of spatial vectors B f without oversampling or the set of spatial vectors after oversampling, such as
  • the matrix U f used to perform frequency domain DFT to determine the multiple frequency domain vectors used to construct the precoding matrix is referred to as a frequency domain base.
  • the terminal device can determine the stronger M z columns from the coefficient matrix C. For example, the terminal device may determine the M z columns with a larger sum of squares of the modulus according to the magnitude of the sum of squares of the elements of each column in the coefficient matrix C.
  • the stronger M z columns in the coefficient matrix C can be used to determine the selected M z frequency domain vectors in the frequency domain base.
  • the stronger the coefficient matrix C M z may be a number of columns in a frequency domain base selected M z number of column vectors, thereby determining the frequency-domain vector M z.
  • the coefficient matrix C can further determine the weighting coefficient corresponding to each pair of space-frequency vectors.
  • the lth row in the coefficient matrix C can correspond to the lth spatial vector in the first polarization direction in the 2L spatial vectors
  • the L+1th row in the coefficient matrix C can correspond to the 2L spatial vectors
  • the mth column in the coefficient matrix C may correspond to the mzth frequency domain vector among the Mz frequency domain vectors.
  • the methods for determining the spatial vector, the frequency domain vector, and the weighting coefficients provided above are only examples, and should not constitute any limitation to the application.
  • the method for determining the spatial vector, the frequency domain vector and the weighting coefficient can be, for example, the same as the beam vector and its weighting coefficient in the feedback mode of the type II (type II) codebook defined in TS38.214 version 15 (release 15, R15) of the NR protocol The method of determining is the same.
  • the terminal device can also use existing estimation algorithms, such as multiple signal classification algorithm (MUSIC), Bartlett algorithm, or rotation invariant subspace algorithm (estimation of signal parameters via rotation invariant), for example. technique algorithm, ESPRIT) etc. to determine the spatial vector, frequency vector and weighting coefficients.
  • MUSIC multiple signal classification algorithm
  • Bartlett algorithm or rotation invariant subspace algorithm (estimation of signal parameters via rotation invariant)
  • technique algorithm ESPRIT
  • this application does not limit the sequence of determining the spatial vector, frequency vector,
  • each transmission layer uses its own independent frequency domain vector as an example to illustrate that the terminal device determines the spatial vector, frequency domain vector and The specific process of weighting coefficient. But this should not constitute any limitation to this application.
  • the terminal device can still determine the spatial vector, frequency domain vector, and weight in a similar manner as described above. coefficient.
  • the terminal device when the predefined spatial vector set includes multiple subsets obtained through oversampling and expansion, and/or when the predefined frequency domain vector set includes multiple subsets obtained through oversampling and expansion, the terminal device
  • the specific process of performing spatial and frequency domain DFT on the spatial frequency matrix to determine the spatial vector, frequency domain vector, and weighting coefficient is similar to this, and the specific process can refer to the prior art. For brevity, a detailed description of the specific process is omitted here.
  • the terminal device After the terminal device determines the spatial vector, frequency domain vector, and weighting coefficients used to construct the precoding matrix, it can report to the network device through the CSI report, so that the network device can restore the precoding matrix.
  • the terminal equipment among the 2L ⁇ M weighting coefficients corresponding to the 2L ⁇ M space-frequency vector pairs determined by the terminal equipment, the terminal equipment only needs to report at most K 0 weighting coefficients, and the terminal equipment actually reports the weighting coefficients The number of is K 1 , and K 1 ⁇ K 0 .
  • a terminal device When a terminal device reports K 1 weighting coefficients through a CSI report, it can be indicated by a quantized value, an index of a quantized value, or a non-quantized value.
  • This application does not limit the way of indicating weighting coefficients, as long as Just let the peer know the weighting coefficient.
  • the information used to indicate the weighting coefficient is referred to as the quantization information of the weighting coefficient.
  • the quantization information may be, for example, a quantization value, an index, or any other information that can be used to indicate a weighting coefficient.
  • the terminal device may indicate the weighting coefficient in a normalized manner. For example, the terminal device may determine the weighting coefficient with the largest modulus from the K 1 weighting coefficients (for example, recorded as the maximum weighting coefficient), and indicate the position of the largest weighting coefficient in the K 1 weighting coefficients. The terminal device may further indicate the relative value of the remaining K 1 -1 weighting coefficients with respect to the maximum weighting coefficient. The terminal device may indicate the above K 1 -1 weighting coefficients through the quantization value index of each relative value.
  • the network device and the terminal device may predefine a one-to-one correspondence between multiple quantized values and multiple indexes, and the terminal device may feed back to the network the relative value of each weighting coefficient with respect to the maximum weighting coefficient based on the one-to-one correspondence. equipment. Since the terminal device quantizes each weighting coefficient, the quantized value may be the same or similar to the real value, so it is called the quantized value of the weighting coefficient.
  • the normalization mentioned above can determine the maximum weighting coefficient in units of each polarization direction, or determine the maximum weighting coefficient among the weighting coefficients corresponding to multiple polarization directions. That is, the maximum weighting coefficient is determined in units of multiple polarization directions. This application does not limit the unit of normalization.
  • the first indication information when used to indicate the K 1 weighting coefficients, it may be indicated in a direct or indirect manner. For example, for the largest weighting coefficient, it can indicate its position in the K 1 weighting coefficients; for another example, for a weighting coefficient with a quantization value of zero, it can also indicate its position in the K 1 weighting coefficients. In other words, the first indication information does not necessarily indicate each coefficient of the K 1 weighting coefficients. As long as the network device can recover K 1 weighting coefficients according to the first indication information.
  • the terminal device when the terminal device reports the L spatial vectors and M frequency domain vectors through the first indication information, it may also report in a variety of different methods.
  • the terminal device can indicate the L space vectors through the index of the combination of the L space vectors, and can also indicate the L space vectors respectively through the respective indexes of the L space vectors.
  • the terminal device may further indicate the index of the subset to which the L spatial vectors belong through the first indication information.
  • the terminal device may indicate the frequency domain vector through the index of the combination of one or more frequency domain vectors corresponding to each transmission layer.
  • the frequency domain vector may be determined by the combination of M z frequency domain vectors.
  • M z index to indicate frequency-domain vectors; terminal device may be indicate that the frequency-domain vector M z M z by the respective frequency-domain vector index.
  • the terminal device may further indicate the index of the subset to which the M z frequency domain vectors belong through the CSI report.
  • the specific methods for the terminal device to indicate the spatial vector, the frequency domain vector, and the weighting coefficient through the CSI report listed above are only examples, and should not constitute any limitation to this application.
  • the terminal device can use the methods provided in the prior art to indicate the spatial vector, the frequency vector, and the weighting coefficient.
  • the terminal device may determine the number of weighting coefficients that can actually be reported according to the bit overhead that the physical uplink resource pre-allocated by the network device can carry.
  • the bit overhead of the first part of the CSI report can be determined in advance. Therefore, the terminal device can determine the maximum bit that can be carried in the second part of the CSI report according to the bit overhead that can be carried by the physical uplink resources pre-allocated by the network device. Overhead.
  • the bit overhead that the physical uplink resource pre-allocated by the network device for the terminal device can carry is X 0 bits
  • the bit overhead of the first part of the CSI report is X 1 bits
  • the remaining bit overhead can be used to carry the second part of the CSI report It is X 2 bits
  • X 2 X 0 -X 1
  • the terminal device determines the number of bits Q required for the second part of the CSI report by determining the number K 1 of all weighting coefficients with non-zero amplitudes determined based on the channel measurement and K 0 .
  • the terminal device may discard part of the K 1 weighting coefficients based on X 2 bits, and the overhead of the second part of the generated CSI report may be X 2 bits. It is understandable that the bit overhead required by the terminal device after discarding a part of the weighting coefficients may be less than X 2 bits, for example, X 3 bits, X 3 ⁇ X 2. In this case, the terminal device can use padding bits Way to make up. For example, a predefined value such as zero is filled after X 3 bits, or the quantization information of K 1 weighting coefficient is filled into the X 2 bits according to a predefined rule, and the QX 2 bits exceeding the X 2 bits are directly Discard etc. This application does not limit the specific method for the terminal device to generate the second part of the X 2- bit CSI report.
  • the terminal device can generate the second part of the CSI report based on the Q bits.
  • the second part of the CSI report is Q bits.
  • the number of bits Q required for the second part of the CSI report determined by the terminal device is not only determined based on K 1 weighting coefficients, and the terminal device can further combine the information carried in the second part of the CSI report.
  • Information such as the indication of the spatial vector, the indication of the frequency domain, and the position of the weighting coefficient determines the number of bits required for the second part of the CSI report. It should be understood that this application does not limit the specific content of the information contained in the second part of the CSI report. As long as the network equipment and the terminal equipment negotiate in advance the information carried in the second part of the CSI report.
  • step 230 the terminal device sends the CSI report.
  • the network device receives the CSI report.
  • the terminal device can send the CSI report to the network device through physical uplink resources, such as physical uplink share channel (PUSCH) or physical uplink control channel (PUCCH), so that the network device can use the
  • PUSCH physical uplink share channel
  • PUCCH physical uplink control channel
  • the specific method for the terminal device to send the CSI report to the network device through the physical uplink resource may be the same as the prior art. For brevity, detailed description of the specific process is omitted here.
  • step 240 the network device determines K 1 weighting coefficients and whether the K 1 weighting coefficients are all non-zero weighting coefficients determined by the terminal device based on the pre-configured weighting coefficient report number K 0 according to the CSI report .
  • the network device may decode the first part of the CSI report according to the predefined length of the first part. After parsing the first part of the CSI report, the length of the second part of the CSI report can be determined, and then the second part of the CSI report can be decoded. Therefore, the terminal device can determine K 1 weighting coefficients according to the quantization information of the weighting coefficients, and determine whether the K 1 weighting coefficients are determined by the terminal device based on the number K 0 of the weighting coefficients reported by the terminal device based on the first indication information. All weighting coefficients with non-zero amplitude.
  • the specific process for the network device to determine the K 1 weighting coefficients according to the quantization information of the weighting coefficients may refer to the prior art. For brevity, a detailed description of the specific process is omitted here. In addition, the following will describe in detail the specific embodiments of the network device according to the CSI report to determine whether the K 1 weighting coefficients are all non-zero weighting coefficients determined by the terminal device based on the pre-configured weighting coefficient report number K 0 Method, for the sake of brevity, a detailed description of the specific method is omitted here.
  • the method 200 further includes step 250.
  • the network device determines the precoding matrix of one or more frequency domain units according to the CSI report.
  • the network device can determine the spatial vector, frequency vector, and weighting coefficient reported by the terminal device based on the CSI report.
  • the specific process of the network device parsing the CSI report is similar to the specific process of the terminal device generating the CSI report. For brevity, a detailed description of the specific process is omitted here.
  • the specific process of decoding can refer to the prior art. For brevity, a detailed description of the specific process is omitted here.
  • the L space vectors reported by the terminal equipment are the space vectors shared by the Z transmission layers; the M frequency domain vectors reported by the terminal equipment are all frequency domain vectors reported for the Z transmission layers, and the M z frequency domain vectors are for The frequency domain vector reported by the z-th transmission layer; the K 1 weighting coefficients reported by the terminal device are all weighting coefficients reported for the Z transmission layers, and the K z weighting coefficients are the weighting coefficients reported for the z-th transmission layer. Then, the L spatial vectors and the M z frequency domain vectors and K z weighting coefficients reported for the z-th transmission layer can be used to construct the z-th transmission layer's spatial frequency matrix.
  • the space-frequency matrix of the z-th transmission layer may be obtained by a weighted summation of the space-frequency component matrix constructed by the L space domain vectors and the M z frequency domain vectors.
  • the precoding vector of one or more frequency domain units on the z-th transmission layer can be obtained.
  • the network device may be based on the transport layer of each first n (1 ⁇ n ⁇ N 3 and n is an integer) frequency-domain precoding vector determining unit may be constructed with the n-th unit corresponding to a frequency domain pre-coding matrix. For example, according to the order from the first transmission layer to the Zth transmission layer in the Z transmission layers, the precoding vectors corresponding to the nth frequency domain unit are arranged in sequence, and the normalization process is performed, and the nth transmission layer Precoding matrix corresponding to each frequency domain unit.
  • the above-described precoding vector corresponding to each frequency domain unit on each transmission layer is determined based on the spatial vector, frequency domain vector, and weighting coefficient indicated in the CSI report, and then the precoding corresponding to each frequency domain unit is determined
  • the matrix method is only an example, and should not constitute any limitation to this application. This application does not limit the specific method for the network device to determine the precoding matrix based on the spatial vector, the frequency vector, and the weighting coefficient.
  • the following describes in detail how the terminal device uses the first indication information to indicate whether the terminal device discards the weighting coefficient, and how the network device determines whether the terminal device discards the weighting coefficient according to the first indication information, and how the network device discards the weighting coefficient in the terminal device with reference to specific embodiments. How to estimate the length of the second part of the CSI report in the case of weighting coefficients.
  • the first indication information includes an indication of K 1 and an indication of K 2 .
  • the K 1 indication is carried in the second part of the CSI report, and the K 2 indication is carried in the first part of the CSI report.
  • the value of K 1 can be determined by a bitmap with a length of 2L ⁇ M in the second part of the CSI report.
  • Each bit in the bitmap can correspond to a space-frequency vector pair, and each bit can be used to indicate whether the corresponding space-frequency vector pair has reported a weighting coefficient, that is, whether the corresponding space-frequency vector pair is used for construction Precoding matrix. For example, when a bit in the bitmap is set to "0", it means that the weighting coefficient corresponding to the space-frequency vector pair corresponding to the bit has not been reported; when a bit in the bitmap is set to "1", It means that the weighting coefficient corresponding to the space-frequency vector pair corresponding to the bit is reported. Based on each bit in the bitmap, the network device can determine the total number of weighting coefficients K 1 actually reported by the terminal device.
  • K 2 can be passed Bits to indicate.
  • the bits can be used to indicate K 0 optional values. Since K 2 ⁇ K 0 , the The bits can be used to indicate any possible value of K 2 .
  • the value of K 2 may also be determined by the sum of the number of weighting coefficients with a non-zero amplitude determined for each of the Z transmission layers.
  • the sum of the number of weighting coefficients with non-zero amplitudes determined by the terminal equipment for each of the Z transmission layers should be less than or equal to K 0 , when the terminal equipment determines the weighting coefficients with non-zero amplitudes
  • the number of weighting coefficients with a non-zero amplitude determined for each transmission layer herein refers to the number of reported weighting coefficients based on the pre-configured K 0 and the channel measurement determined The number of weighting coefficients with a non-zero amplitude that each transmission layer wants to feedback.
  • the terminal device When the values of K 1 and K 2 determined by the network device through the first indication information are the same, it means that the K 1 weighting coefficients are all weighting coefficients of non-zero amplitude determined by the terminal device based on channel measurement, or in other words, the terminal device has not discard any one of the K 2 weighting coefficients; when the network device as determined by K indicative of 1 and K 2 to K 1 different from the value K 2, as K 1 ⁇ K 2, it indicates that the K a weighting coefficient It is not that the terminal equipment determines all the weighting coefficients with non-zero amplitudes based on the channel measurement, or in other words, the terminal equipment discards some of the K 2 weighting coefficients.
  • reported CSI can be decoded based on the number of bits of the second portion of the pre-allocated.
  • the number of pre-allocated bits described herein may be determined by the network device based on the number of bits X 0 that are pre-allocated to the terminal device for transmitting the CSI report and the number of bits X 1 of the first part of the CSI report that can predetermine the bit overhead.
  • the number of bits X 2 pre-allocated by the network device to the second part of the CSI report may be equal to X 0 -X 1 .
  • the length of the second part of the CSI report can be estimated based on the K 1 weighting coefficients, and then based on the estimated Length to decode the second part of the CSI report.
  • the first indication information includes a first indication bit, which is used to indicate whether the K 1 weighting coefficients are all the magnitudes determined by the terminal device based on the number K 0 of weighting coefficients reported by the terminal device.
  • the weighting coefficient of zero is used to indicate whether the K 1 weighting coefficients are all of the K 2 weighting coefficients.
  • the overhead of the first indicator bit is 1 bit.
  • the first indicator bit is set to "0" it means that the K 1 weighting coefficient is all of the K 2 weighting coefficients, that is, the terminal device does not discard the K 2 Any one of the weighting coefficients; when the first indication bit is set to "1", it means that the K 1 weighting coefficient is part of the K 2 weighting coefficients, that is, the terminal device discards the K 2 weighting coefficients Part of the weighting factor in.
  • the meanings represented by different values in the first indicator bit may be determined according to a preset rule, and the present application does not limit the meanings corresponding to different values.
  • the first indicator bit is carried in the second part of the CSI report. As another embodiment, the first indicator bit is carried in the first part of the CSI report.
  • the first indication information includes a second indication bit, and the second indication bit indicates the number of K 2 weighting coefficients that are not reported through the CSI report.
  • the second indicator bit can pass Bits to indicate.
  • the bits can be used to indicate K 0 optional values. Since K 2 ⁇ K 0 , the The bits can be used to indicate any possible value of K 2 .
  • the second indicator bit can pass Bits to indicate.
  • the bits can be used to indicate K 0 -K 1 +1 optional values. Since the number of weighting coefficients pre-configured by the network equipment is K 0 , and the number of weighting coefficients actually reported by the terminal equipment is K 1 , the number of weighting coefficients discarded by the terminal equipment does not exceed K 0 -K 1 . In addition, there is a possibility that the weighting coefficient is not discarded, that is, K 0 -K 1 is 0, and the K 0 -K 1 +1 optional values may include the number of weighting coefficients not reported through the CSI report. The number of possible values K 0 -K 1 +1.
  • the second indicator bit is carried in the first part of the CSI report. As another embodiment, the second indicator bit is carried in the second part of the CSI report.
  • the CSI report In addition to the CSI report carries the first indication or the second indication bits bits, it may also carry an indication of K 1.
  • the first portion carries the reported CSI is indicative of K 1.
  • the value of K 1 can be passed Bits to indicate.
  • the bits can be used to indicate K 0 optional values. Since K 1 ⁇ K 0 , the Bits may be used to indicate any one of K possible values.
  • K 1 can also be determined by the sum of the number of weighting coefficients actually reported for each of the Z transmission layers.
  • the network device can directly estimate the length of the second part of the CSI report according to the value of K 1 .
  • the terminal device carries the first indication information in the CSI report to indicate whether the weighting coefficient reported by the terminal device is all non-zero weighting coefficients determined by the terminal device based on K 0 and channel measurement , So that the network equipment can determine the K 1 weighting coefficients reported by the terminal equipment based on the CSI report, and determine whether the reported weighting coefficients are all non-zero weighting coefficients determined by the terminal equipment based on K 0 and channel measurement. Based on this, the network device can parse the first part of the CSI report according to the predefined CSI report format, and estimate the length of the second part of the CSI report, so as to complete the correct decoding of the second part of the CSI report. Therefore, the network device can determine the precoding matrix used for data transmission based on the information in the CSI report, which is beneficial to improve the system transmission performance.
  • the network device has learned whether the terminal device has discarded the weighting coefficient, and can consider allocating more physical uplink resources for the terminal device in the next scheduling to transmit the CSI report. On the contrary, if the network device does not know that the terminal device discards part of the weighting coefficients with a non-zero amplitude when reporting the CSI report, the network device will not infer that the physical uplink resources allocated to the terminal device during this scheduling are insufficient. In the next scheduling, the terminal device may still be allocated resources of the same size, and the terminal device may discard a part of the weighting coefficients with a non-zero amplitude each time it reports. This may seriously affect the feedback accuracy and is not conducive to improving the data transmission performance.
  • the network device can determine whether the physical uplink resources allocated to the terminal device in the previous scheduling are sufficient according to the first indication information, and can also be based on the information obtained in the previous scheduling in the next scheduling, such as K 2. Allocate appropriate physical uplink resources for terminal equipment. Therefore, it is beneficial to improve the feedback accuracy and the transmission performance.
  • Fig. 3 is a schematic block diagram of a communication device provided by an embodiment of the present application.
  • the communication device 1000 may include a processing unit 1100 and a transceiver unit 1200.
  • the communication device 1000 may correspond to the terminal device in the above method embodiment, for example, it may be a terminal device or a chip configured in the terminal device.
  • the processing unit 1100 is configured to generate a CSI report, the CSI report including quantization information of K 1 weighting coefficients and first indication information; wherein the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, and the K 1 Weighting coefficients are used to construct a precoding matrix corresponding to one or more frequency domain units; the first indication information is used to indicate whether the K 1 weighting coefficients are the number K 0 reported by the device 1000 based on the pre-configured weighting coefficients.
  • the apparatus 1000 based on the number of all non-zero amplitude weighting coefficient K 0 is determined as K 2, K 1 ⁇ K 2 ⁇ K 0, K 0, K 1 and K 2 is a positive integer; the transceiver unit 1200 is used to send the CSI report.
  • the transceiving unit 1200 is further configured to receive second indication information, where the second indication information is used to report the number K 0 of weighting coefficients configured for the terminal device.
  • the first indication information includes an indication of K 1 and an indication of K 2 .
  • the K 2 indication is carried in the first part of the CSI report, and the K 1 indication is carried in the second part of the CSI report.
  • the first indication information includes a first indication bit, which is used to indicate whether the K 1 weighting coefficients are all the amplitudes determined by the terminal device based on the number K 0 of weighting coefficients reported by the terminal device. Non-zero weighting factor.
  • the first indication bit is carried in the second part of the CSI report.
  • the first indication information includes a second indication bit
  • the second indication bit indicates the number of K 2 weighting coefficients that have not been reported through the CSI report.
  • the overhead of the second indication bit is Bit, corresponding to K 0 -K 1 +1 optional values; among them, K 0 is the number of pre-configured weighting coefficient reports, K 0 is a positive integer; the K 0 -K 1 +1 optional The value of includes K 0 -K 1 +1 possible values of the number of weighting coefficients not reported by the CSI report.
  • the second indication bit is carried in the second part of the CSI report.
  • the first part of the reported CSI comprises an indication of K 1.
  • the overhead of the second part of the CSI report is X 2 bits;
  • the overhead of the second part of the CSI report is Q bits
  • X 2 X 0 -X 1
  • X 0 is the number of bits allocated in advance for transmitting the CSI report
  • X 1 is the number of bits used to transmit the first part of the CSI report
  • Q, X 1 , X 2 and X 0 are all positive integers.
  • the communication device 1000 may correspond to the terminal device in the method 200 according to the embodiment of the present application, and the communication device 1000 may include a unit for executing the method executed by the terminal device in the method 200 in FIG. 2.
  • each unit in the communication device 1000 and other operations and/or functions described above are used to implement the corresponding process of the method 200 in FIG. 2.
  • the processing unit 1100 may be used to execute step 210 in the method 200
  • the transceiver unit 1200 may be used to execute steps 220 and 230 in the method 200. It should be understood that the specific process of each unit performing the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the transceiver unit 1200 in the communication device 1000 may correspond to the transceiver 2020 in the terminal device 2000 shown in FIG. 4, and the processing unit 1100 in the communication device 1000 may It corresponds to the processor 2010 in the terminal device 2000 shown in FIG. 4.
  • the transceiver unit 1200 in the communication device 1000 may be an input/output interface.
  • the communication device 1000 may correspond to the network device in the above method embodiment, for example, it may be a network device or a chip configured in the network device.
  • the transceiver unit 1200 is configured to receive a CSI report; the CSI report includes quantization information of K 1 weighting coefficients and first indication information; wherein, the K 1 weighting coefficients are weighting coefficients with a non-zero amplitude, and the K 1 weighting coefficients
  • the weighting coefficient is used to construct a precoding matrix corresponding to one or more frequency domain units; the first indication information is used to indicate whether the K 1 weighting coefficient is the number K 0 reported by the device 1000 based on the pre-configured weighting coefficient.
  • the number of weighting coefficients of all non-zero amplitudes determined by the device 1000 based on K 0 is K 2 , K 1 ⁇ K 2 ⁇ K 0 , K 0 , K 1 and K 2 All are positive integers; the processing unit 1100 is configured to determine K 1 weighting coefficients and whether the K 1 weighting coefficients are all non-zero ranges determined by the device 1000 based on the number K 0 of the weighting coefficients reported by the device 1000 according to the CSI report The weighting factor.
  • the transceiving unit 1200 is further configured to receive second indication information, where the second indication information is used to report the number K 0 of weighting coefficients configured for the terminal device.
  • the first indication information includes an indication of K 1 and an indication of K 2 .
  • the K 2 indication is carried in the first part of the CSI report, and the K 1 indication is carried in the second part of the CSI report.
  • the first indication information includes a first indication bit, which is used to indicate whether the K 1 weighting coefficients are all the amplitudes determined by the terminal device based on the number K 0 of weighting coefficients reported by the terminal device. Non-zero weighting factor.
  • the first indication bit is carried in the second part of the CSI report.
  • the first indication information includes a second indication bit
  • the second indication bit indicates the number of K 2 weighting coefficients that have not been reported through the CSI report.
  • the overhead of the second indication bit is Bit, corresponding to K 0 -K 1 +1 optional values; among them, K 0 is the number of pre-configured weighting coefficient reports, K 0 is a positive integer; the K 0 -K 1 +1 optional The value of includes K 0 -K 1 +1 possible values of the number of weighting coefficients not reported by the CSI report.
  • the second indication bit is carried in the second part of the CSI report.
  • the first part of the reported CSI comprises an indication of K 1.
  • the communication device 1000 may correspond to the network device in the method 200 according to the embodiment of the present application, and the communication device 1000 may include a unit for executing the method executed by the network device in the method 200 in FIG. 2.
  • each unit in the communication device 1000 and other operations and/or functions described above are used to implement the corresponding process of the method 200 in FIG. 2.
  • the processing unit 1100 can be used to execute steps 240 and 250 in the method 200
  • the transceiver unit 1200 can be used to execute steps 220 and 230 in the method 200. It should be understood that the specific process for each unit to execute the foregoing corresponding steps has been described in detail in the foregoing method embodiment, and is not repeated here for brevity.
  • the transceiver unit in the communication device 1000 may correspond to the RRU 3100 in the base station 3000 shown in FIG. 5, and the processing unit 1100 in the communication device 1000 may correspond to The BBU 3200 or the processor 3202 in the base station 3000 shown in FIG. 5.
  • the transceiver unit 1200 in the communication device 1000 may be an input/output interface.
  • FIG. 4 is a schematic structural diagram of a terminal device 2000 provided by an embodiment of the present application.
  • the terminal device 2000 can be applied to the system shown in FIG. 1 to perform the functions of the terminal device in the foregoing method embodiment.
  • the terminal device 2000 includes a processor 2010 and a transceiver 2020.
  • the terminal device 2000 further includes a memory 2030.
  • the processor 2010, the transceiver 2002, and the memory 2030 can communicate with each other through internal connection paths to transfer control and/or data signals.
  • the memory 2030 is used for storing computer programs, and the processor 2010 is used for downloading from the memory 2030. Call and run the computer program to control the transceiver 2020 to send and receive signals.
  • the terminal device 2000 may further include an antenna 2040 for transmitting the uplink data or uplink control signaling output by the transceiver 2020 through a wireless signal.
  • the aforementioned processor 2010 and the memory 2030 can be combined into a processing device, and the processor 2010 is configured to execute the program code stored in the memory 2030 to implement the aforementioned functions.
  • the memory 2030 may also be integrated in the processor 2010 or independent of the processor 2010.
  • the processor 2010 may correspond to the processing unit in FIG. 3.
  • the aforementioned transceiver 2020 may correspond to the transceiver unit in FIG. 3, and may also be referred to as a transceiver unit.
  • the transceiver 2020 may include a receiver (or called receiver, receiving circuit) and a transmitter (or called transmitter, transmitting circuit). Among them, the receiver is used to receive signals, and the transmitter is used to transmit signals.
  • the terminal device 2000 shown in FIG. 4 can implement various processes involving the terminal device in the method embodiment shown in FIG. 2.
  • the operations and/or functions of each module in the terminal device 2000 are respectively for implementing the corresponding processes in the foregoing method embodiments.
  • the above-mentioned processor 2010 can be used to execute the actions described in the previous method embodiments implemented by the terminal device, and the transceiver 2020 can be used to execute the terminal device described in the previous method embodiments to send or receive from the network device action.
  • the transceiver 2020 can be used to execute the terminal device described in the previous method embodiments to send or receive from the network device action.
  • the aforementioned terminal device 2000 may further include a power supply 2050 for providing power to various devices or circuits in the terminal device.
  • the terminal device 2000 may also include one or more of an input unit 2060, a display unit 2070, an audio circuit 2080, a camera 2090, and a sensor 2100.
  • the audio circuit A speaker 2082, a microphone 2084, etc. may also be included.
  • FIG. 5 is a schematic structural diagram of a network device provided by an embodiment of the present application, for example, may be a schematic structural diagram of a base station.
  • the base station 3000 can be applied to the system shown in FIG. 1 to perform the functions of the network device in the foregoing method embodiment.
  • the base station 3000 may include one or more radio frequency units, such as a remote radio unit (RRU) 3100 and one or more baseband units (BBU) (also known as distributed units ( DU)) 3200.
  • RRU 3100 may be referred to as a transceiver unit, which corresponds to the transceiver unit 1100 in FIG. 3.
  • the transceiver unit 3100 may also be called a transceiver, a transceiver circuit, or a transceiver, etc., and it may include at least one antenna 3101 and a radio frequency unit 3102.
  • the transceiver unit 3100 may include a receiving unit and a transmitting unit, the receiving unit may correspond to a receiver (or receiver, receiving circuit), and the transmitting unit may correspond to a transmitter (or transmitter or transmitting circuit).
  • the RRU 3100 part is mainly used for sending and receiving of radio frequency signals and conversion of radio frequency signals and baseband signals, for example, for sending instruction information to terminal equipment.
  • the 3200 part of the BBU is mainly used for baseband processing and control of the base station.
  • the RRU 3100 and the BBU 3200 may be physically set together, or may be physically separated, that is, a distributed base station.
  • the BBU 3200 is the control center of the base station, and may also be called a processing unit, which may correspond to the processing unit 1200 in FIG. 3, and is mainly used to complete baseband processing functions, such as channel coding, multiplexing, modulation, and spreading.
  • the BBU processing unit
  • the BBU may be used to control the base station to execute the operation procedure of the network device in the foregoing method embodiment, for example, to generate the foregoing indication information.
  • the BBU 3200 may be composed of one or more single boards, and multiple single boards may jointly support a radio access network with a single access standard (such as an LTE network), or support different access standards. Wireless access network (such as LTE network, 5G network or other networks).
  • the BBU 3200 also includes a memory 3201 and a processor 3202.
  • the memory 3201 is used to store necessary instructions and data.
  • the processor 3202 is configured to control the base station to perform necessary actions, for example, to control the base station to execute the operation procedure of the network device in the foregoing method embodiment.
  • the memory 3201 and the processor 3202 may serve one or more single boards. In other words, the memory and the processor can be set separately on each board. It can also be that multiple boards share the same memory and processor. In addition, necessary circuits can be provided on each board.
  • the base station 3000 shown in FIG. 5 can implement various processes involving network devices in the method embodiment shown in FIG. 2.
  • the operations and/or functions of the various modules in the base station 3000 are used to implement the corresponding processes in the foregoing method embodiments.
  • the above-mentioned BBU 3200 can be used to perform the actions described in the previous method embodiments implemented by the network device, and the RRU 3100 can be used to perform the actions described in the previous method embodiments that the network device sends to or receives from the terminal device.
  • the RRU 3100 can be used to perform the actions described in the previous method embodiments that the network device sends to or receives from the terminal device.
  • the base station 3000 shown in FIG. 5 is only a possible architecture of the network device, and should not constitute any limitation in this application.
  • the method provided in this application can be applied to network devices of other architectures.
  • network equipment including CU, DU, and AAU. This application does not limit the specific architecture of the network device.
  • An embodiment of the present application also provides a processing device, including a processor and an interface; the processor is configured to execute the method in the foregoing method embodiment.
  • the aforementioned processing device may be one or more chips.
  • the processing device may be a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), or a system on chip (SoC), or It is a central processor unit (CPU), it can also be a network processor (NP), it can also be a digital signal processing circuit (digital signal processor, DSP), or it can be a microcontroller (microcontroller unit). , MCU), it can also be a programmable logic device (PLD) or other integrated chips.
  • FPGA field programmable gate array
  • ASIC application specific integrated circuit
  • SoC system on chip
  • CPU central processor unit
  • NP network processor
  • DSP digital signal processing circuit
  • microcontroller unit microcontroller unit
  • MCU programmable logic device
  • PLD programmable logic device
  • the steps of the above method can be completed by hardware integrated logic circuits in the processor or instructions in the form of software.
  • the steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.
  • the software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware. To avoid repetition, it will not be described in detail here.
  • the processor in the embodiment of the present application may be an integrated circuit chip with signal processing capability.
  • the steps of the foregoing method embodiments can be completed by hardware integrated logic circuits in the processor or instructions in the form of software.
  • the above-mentioned processor may be a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components .
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • the methods, steps, and logical block diagrams disclosed in the embodiments of the present application can be implemented or executed.
  • the general-purpose processor may be a microprocessor or the processor may also be any conventional processor or the like.
  • the steps of the method disclosed in the embodiments of the present application may be directly embodied as being executed and completed by a hardware decoding processor, or executed and completed by a combination of hardware and software modules in the decoding processor.
  • the software module can be located in a mature storage medium in the field such as random access memory, flash memory, read-only memory, programmable read-only memory, or electrically erasable programmable memory, registers.
  • the storage medium is located in the memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.
  • the memory in the embodiments of the present application may be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory.
  • the non-volatile memory can be read-only memory (ROM), programmable read-only memory (programmable ROM, PROM), erasable programmable read-only memory (erasable PROM, EPROM), and electronic Erase programmable read-only memory (electrically EPROM, EEPROM) or flash memory.
  • the volatile memory may be random access memory (RAM), which is used as an external cache.
  • RAM random access memory
  • static random access memory static random access memory
  • dynamic RAM dynamic random access memory
  • DRAM dynamic random access memory
  • SDRAM synchronous dynamic random access memory
  • double data rate synchronous dynamic random access memory double data rate SDRAM, DDR SDRAM
  • enhanced synchronous dynamic random access memory enhanced SDRAM, ESDRAM
  • serial link DRAM SLDRAM
  • direct rambus RAM direct rambus RAM
  • the present application also provides a computer program product, the computer program product includes: computer program code, when the computer program code runs on a computer, the computer executes the embodiment shown in FIG. 2 Method in.
  • the present application also provides a computer-readable medium storing program code, which when the program code runs on a computer, causes the computer to execute the embodiment shown in FIG. 2 Method in.
  • this application also provides a system, which includes the aforementioned one or more terminal devices and one or more network devices.
  • the network equipment in the above-mentioned device embodiments completely corresponds to the network equipment or terminal equipment in the terminal equipment and method embodiments, and the corresponding modules or units execute the corresponding steps.
  • the communication unit transmits the receiving or In the sending step, other steps except sending and receiving can be executed by the processing unit (processor).
  • the processing unit processor
  • component used in this specification are used to denote computer-related entities, hardware, firmware, a combination of hardware and software, software, or software in execution.
  • the component may be, but is not limited to, a process, a processor, an object, an executable file, an execution thread, a program, and/or a computer running on a processor.
  • the application running on the computing device and the computing device can be components.
  • One or more components may reside in processes and/or threads of execution, and components may be located on one computer and/or distributed among two or more computers.
  • these components can be executed from various computer readable media having various data structures stored thereon.
  • the component may be based on, for example, a signal having one or more data packets (such as data from two components interacting with another component in a local system, a distributed system, and/or a network, such as the Internet that interacts with other systems through signals) Communicate through local and/or remote processes.
  • a signal having one or more data packets (such as data from two components interacting with another component in a local system, a distributed system, and/or a network, such as the Internet that interacts with other systems through signals) Communicate through local and/or remote processes.
  • the disclosed system, device, and method may be implemented in other ways.
  • the device embodiments described above are only illustrative.
  • the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components can be combined or It can be integrated into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • each unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • each functional unit may be implemented in whole or in part by software, hardware, firmware, or any combination thereof.
  • software When implemented by software, it can be implemented in the form of a computer program product in whole or in part.
  • the computer program product includes one or more computer instructions (programs).
  • programs When the computer program instructions (programs) are loaded and executed on the computer, the processes or functions described in the embodiments of the present application are generated in whole or in part.
  • the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.
  • the computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium.
  • the computer instructions may be transmitted from a website, computer, server, or data center. Transmission to another website, computer, server or data center via wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.).
  • the computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media.
  • the usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, and a magnetic tape), an optical medium (for example, a high-density digital video disc (digital video disc, DVD)), or a semiconductor medium (for example, a solid state disk, SSD)) etc.
  • the function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of this application essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including Several instructions are used to make a computer device (which may be a personal computer, a server, or a network device, etc.) execute all or part of the steps of the method described in each embodiment of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (read-only memory, ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other media that can store program code .

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Abstract

La présente invention concerne un procédé d'indication de coefficients permettant la construction d'une matrice de précodage, ainsi qu'un appareil de communication. Au cours du procédé, un dispositif terminal génère un rapport de CSI et l'envoie à un dispositif de réseau. Le rapport de CSI contient des informations quantitatives de K 1 coefficients de pondération et des premières informations d'indication. Les K 1 coefficients de pondération sont utilisés pour construire une matrice de précodage correspondant à une ou plusieurs unités de domaine fréquentiel. Les premières informations d'indication sont utilisées pour indiquer si les K 1 coefficients de pondération sont tous les coefficients de pondération ayant des amplitudes non nulles déterminés par le dispositif terminal sur la base d'un nombre préconfiguré K 0 de rapports de coefficients de pondération. K 1 est inférieur ou égal à K 0. K 0 et K 1 sont des entiers positifs. Sur la base du procédé, le dispositif de réseau peut estimer la longueur d'une seconde partie en fonction d'un format de rapport de CSI prédéfini et d'une première partie, de sorte qu'un rapport de CSI est décodé correctement. Les performances de transmission du système s'en trouvent améliorées.
PCT/CN2020/086593 2019-04-30 2020-04-24 Procédé d'indication de coefficients permettant la construction d'une matrice de précodage et appareil de communication WO2020221117A1 (fr)

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