WO2024160085A1

WO2024160085A1 - Communication processing method and apparatus, device and readable storage medium

Info

Publication number: WO2024160085A1
Application number: PCT/CN2024/073544
Authority: WO
Inventors: 施源; 孙鹏; 吴昊
Original assignee: 维沃移动通信有限公司
Priority date: 2023-01-30
Filing date: 2024-01-23
Publication date: 2024-08-08
Also published as: CN118413897A

Abstract

The present application discloses a communication processing method and apparatus, a device and a readable storage medium. The method comprises: a terminal determines a second object according to QCL information of a first object; and the terminal receives or sends the first object according to the second object. The first object comprises at least one among the following: a first resource and a first resource set, wherein the first resource comprises at least one first target resource, and the first resource set comprises at least one first target resource set; and the second object comprises at least one among the following: a second resource, a second resource set, at least one piece of beam information, an AI model, an output of the AI model, and a post-processing result output by the AI model, wherein the second resource comprises at least two second target resources, and the second resource set comprises at least one second target resource set.

Description

Communication processing method, device, equipment and readable storage medium

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to Chinese Patent Application No. 202310075593.7 filed in China on January 30, 2023, the entire contents of which are incorporated herein by reference.

Technical Field

The present application belongs to the field of communication technology, and specifically relates to a communication processing method, device, equipment and readable storage medium.

Background Art

In related technologies, the quasi-colocation (QCL) information of a reference signal resource is another reference signal resource that is configured in advance. This QCL information cannot be changed dynamically and can only be semi-statically reconfigured or updated through the Radio Resource Control (RRC) or Media Access Control (MAC) control element (CE). Therefore, the receiving beam or transmitting beam of the terminal can only be determined based on a reference signal in the QCL, but the receiving beam or transmitting beam determined based on a reference signal is often not optimal.

Summary of the invention

The embodiments of the present application provide a communication processing method, apparatus, device and readable storage medium to solve the problem of how to determine an optimal receiving beam or an optimal transmitting beam.

In a first aspect, a communication processing method is provided, comprising:

The terminal determines the second object according to the QCL information of the first object;

The terminal receives or sends the first object according to the second object;

The first object includes at least one of the following: a first resource, a first resource set; wherein the first resource includes at least one first target resource, and the first resource set includes at least one first target resource set;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an AI model, an output of the AI model, and a post-processing result of the AI model output; wherein the second resource includes at least two second target resources, and the second resource set includes at least one second target resource set.

In a second aspect, a communication processing method is provided, comprising:

The network side device configures the QCL information of the first object to be associated with the second object;

In a third aspect, a communication processing device is provided, including:

A first determining module, configured to determine a second object according to the QCL information of the first object;

A first transceiver module, configured to receive or send the first object according to the second object;

In a fourth aspect, a communication processing device is provided, including:

A configuration module, configured to configure the QCL of the first object to be associated with the second object;

A second transceiver module, configured to receive or send the first object according to the second object;

In a fifth aspect, a communication device is provided, comprising: a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect or the second aspect.

In the sixth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by the processor of the terminal, the steps of the method described in the first aspect are implemented, or when the program or instruction is executed by the processor of the network side device, the steps of the method described in the second aspect are implemented.

In the seventh aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the steps of the method described in the first aspect or the second aspect.

In an eighth aspect, a computer program/program product is provided, wherein the computer program/program product is stored in a non-volatile storage medium, and the program/program product is executed by at least one processor to implement the steps of the method described in the first aspect or the second aspect.

In a ninth aspect, a communication system is provided, the communication system comprising a terminal and a network side device, the terminal being used to execute the steps of the method described in the first aspect, and the network side device being used to execute the steps of the method described in the second aspect.

In an embodiment of the present application, the QCL information of the first object is associated with the second object. The terminal can select the optimal receiving beam or transmitting beam according to the second object, and receive the first object through the optimal receiving beam, or transmit the first object through the optimal transmitting beam, so that the terminal can select the optimal receiving beam or transmitting beam. When the terminal uses the AI model for beam prediction, the terminal can use the selected optimal receiving beam or transmitting beam as the AI The input of the model can improve the accuracy of the AI model in beam prediction. On the other hand, since the first object is associated with the second object through QCL information, such as at least two second target resources, or at least one second target resource set, or at least one beam information, frequent updates of the QCL information of the first object are avoided, reducing signaling overhead.

BRIEF DESCRIPTION OF THE DRAWINGS

Figure 1 is a schematic diagram of a neural network;

Figure 2 is a schematic diagram of a neuron;

FIG3 is one of the schematic diagrams of beam prediction based on the AI model;

FIG4 is a second schematic diagram of beam prediction based on the AI model;

FIG5 is a third schematic diagram of beam prediction based on an AI model;

FIG6 is a schematic diagram of the architecture of a wireless communication system according to an embodiment of the present application;

FIG7 is a flowchart of a communication processing method provided in an embodiment of the present application;

FIG8 is a second flowchart of the communication processing method provided in an embodiment of the present application;

FIG9 is a schematic diagram of a communication processing device according to an embodiment of the present application;

FIG10 is a second schematic diagram of a communication processing device provided in an embodiment of the present application;

FIG11 is a schematic diagram of a terminal provided in an embodiment of the present application;

FIG12 is a schematic diagram of a network side device provided in an embodiment of the present application;

FIG13 is a schematic diagram of a communication device provided in an embodiment of the present application.

DETAILED DESCRIPTION

The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of this application.

The terms "first", "second", etc. in the specification and claims of the present application are used to distinguish similar objects, but not to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first" and "second" are generally of the same type, and the number of objects is not limited. For example, the first object and the second object can be one or more. In addition, "or" in the specification and claims of the present application represents at least one of the connected objects. For example, "A or B" covers three schemes, namely, scheme one: including A but not including B; scheme two: including B but not including A; scheme three: including both A and B. The term "indication" in the specification and claims of the present application can be either an explicit indication or an implicit indication. Among them, an explicit indication can be understood as the sender explicitly notifying the receiver of the operation or request result to be performed in the indication sent; an implicit indication can be understood as the receiver making a judgment based on the indication sent by the sender and determining the operation or request result to be performed based on the judgment result. The term “at least one” in the specification and claims of the present application may mean one or more. For example, at least one transmission beam information may be one transmission beam information or more than one transmission beam information.

It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE)/LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency Division Multiple Access (SC-FDMA) and other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the above-mentioned systems and radio technologies as well as for other systems and radio technologies. The following description describes a new radio (NR) system for example purposes, and NR terms are used in most of the following descriptions, but these technologies can also be applied to applications other than NR system applications, such as the ^6th Generation (6G) communication system.

In order to facilitate understanding of the implementation methods of the present application, the following technical points are first introduced below.

1. Introduction to artificial intelligence.

Artificial intelligence has been widely used in various fields. There are many ways to implement AI modules, such as neural networks, decision trees, support vector machines, Bayesian classifiers, etc.

This application uses a neural network as an example for illustration, but does not limit the specific type of AI module. The structure of the neural network is shown in FIG1 .

The neural network is composed of neurons, and a schematic diagram of neurons is shown in Figure 2. Where a ₁ , a ₂ , … a _K are inputs, w is the weight (multiplicative coefficient), b is the bias (additive coefficient), σ(.) is the activation function, z = a ₁ w ₁ + … + a _k w _k + … + a _K w _K + b. Common activation functions include Sigmoid function, tanh function, Rectified Linear Unit (ReLU), etc.

The parameters of a neural network can be optimized using an optimization algorithm. An optimization algorithm is a type of algorithm that can minimize or maximize an objective function (sometimes called a loss function). The objective function is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, a neural network model f(.) is constructed. With the model, the predicted output f(x) can be obtained based on the input x, and the difference between the predicted value and the true value (f(x)-Y) can be calculated. This is the loss function. If the appropriate W, b is found to minimize the value of the above loss function, the smaller the loss value, the closer the model is to the actual situation.

At present, the common optimization algorithms are basically based on the error back propagation (BP) algorithm. The basic idea of the BP algorithm is that the learning process consists of two processes: forward propagation of signals and back propagation of errors. During forward propagation, the input samples are transmitted from the input layer, processed by each hidden layer layer by layer, and then transmitted to the output layer. If the actual output of the output layer does not match the expected output, the error back propagation stage is entered. Error back propagation is to propagate the output error layer by layer through the hidden layer to the input layer in some form, and distribute the error to all units in each layer, so as to obtain the error signal of each layer unit, and this error signal is used as the basis for correcting the weights of each unit. This process of adjusting the weights of each layer of the signal forward propagation and error back propagation is repeated. The process of continuous adjustment of weights is the learning and training process of the network. This process continues until the error of the network output is reduced to an acceptable level, or until the pre-set number of learning times is reached.

Common optimization algorithms include Gradient Descent, Stochastic Gradient Descent (SGD), mini-batch gradient descent, Momentum, Stochastic Gradient Descent with momentum, Adaptive Gradient Descent (Adagrad), Adadelta, root mean square prop (RMSprop), Adaptive Momentum Estimation (Adam), etc.

When these optimization algorithms backpropagate errors, they all calculate the derivative or partial derivative of the current neuron based on the error or loss obtained from the loss function, add the influence of the learning rate, previous gradient, derivative or partial derivative, obtain the gradient, and pass the gradient to the previous layer.

2. About beam measurement and beam reporting.

Analog beamforming is full-bandwidth transmission, and each polarization direction array element on the panel of each high-frequency antenna array can only send analog beams in a time-division multiplexing manner. The shaping weight of the analog beam is achieved by adjusting the parameters of the RF front-end phase shifter and other devices.

At present, in academia and industry, polling is usually used to train simulated beamforming vectors, that is, the array elements of each polarization direction of each antenna panel send training signals (i.e. candidate beamforming vectors) in turn at the agreed time in a time-division multiplexing manner. After measurement, the terminal feeds back a beam report for the network side to use the training signal to implement simulated beam transmission in the next transmission service. The content of the beam report usually includes the optimal number of transmit beam identifiers and the measured receive power of each transmit beam.

When performing beam measurement, the network side device will configure a reference signal resource set (RS resource set), which includes at least one reference signal resource, such as a synchronization signal block resource (Synchronization Signal and PBCH block resource, SSB resource) or a channel state information reference signal resource (Channel State Information Reference Signal resource, CSI-RS resource). The terminal (such as User Equipment (UE)) measures the Layer 1 reference signal received power (Layer 1 reference signal received power, L1-RSRP)/Layer 1 signal-to-noise and interference ratio (Layer 1 signal-to-noise and interference ratio, L1-SINR) of each reference signal resource (RS resource), and reports at least one optimal measurement result to the network, including the synchronization signal block resource indicator (SS/PBCH Block Resource Indicator, SSBRI) or the channel state information reference signal resource indicator (CSI-RS Resource Indicator, CRI), and L1-RSRP/L1-SINR. The report content reflects at least one optimal beam and its quality, so that the network can determine the beam used to send a channel or signal to the UE. When the terminal beam report contains only one layer 1 reference signal received power (L1-RSRP), a 7-bit quantization method is used, the quantization step is 1dB, and the quantization range is -140dBm to -44dBm. When the terminal is instructed that the beam report contains multiple L1-RSRPs, or group-based beam report is enabled, the strongest RSRP is quantized using 7-bit quantization, and the remaining RSRPs are quantized using 4-bit differential quantization, with a quantization step of 2dB.

The number of feedback reports is determined by the parameters configured by the network to the UE. The number of RS and RSRP that should be included in the UE's feedback report is configured through the RRC configuration parameters. The value of the quantity configuration is 1, 2, 3, 4, and the default value is 1. In addition, the quantity limit is based on the UE capability, and the UE will first report the maximum number that it can support.

3. About the beam indication mechanism

After beam measurement and beam reporting, the network can make beam indications for the downlink and uplink channels or reference signals to establish a beam link between the network and the UE to achieve channel or reference signal transmission.

For the beam indication of the physical downlink control channel (PDCCH), the network uses RRC signaling to configure K transmission configuration indication (TCI) states for each control resource set (CORESET). When K>1, MAC CE indicates or activates one TCI state. When K=1, no additional MAC CE command is required. When monitoring PDCCH, the UE uses the same QCL, that is, the same TCI state, for all search spaces in the CORESET to monitor PDCCH. The reference signal (such as periodic CSI-RS resource, semi-persistent CSI-RS resource, SS block, etc.) in the TCI state is spatially QCLed with the terminal-specific (UE-specific) PDCCH demodulation reference signal (DMRS) port. According to the TCI state, the UE can know which receive beam to use to receive PDCCH.

For the beam indication of the physical downlink shared channel (PDSCH), the network configures M TCI states through RRC signaling, and then uses the MAC CE command to activate 2N TCI states, and then notifies the TCI state through the N-bit TCI field of the downlink control information (DCI). The reference signal in the TCI state is QCL with the DMRS port of the PDSCH to be scheduled. The UE can know which receive beam to use to receive the PDSCH based on the TCI state.

For the beam indication of CSI-RS, when the CSI-RS type is periodic CSI-RS, the network configures QCL information for CSI-RS resource through RRC signaling. When the CSI-RS type is semi-persistent CSI-RS, the network activates the CSI-RS resource set configured by RRC through the MAC CE command, and associates QCL information with each CSI-RS resource. When the CSI-RS type is aperiodic CSI-RS, the network configures QCL for CSI-RS resource through RRC signaling and uses DCI to trigger CSI-RS.

For the beam indication of the Physical Uplink Control Channel (PUCCH), the network uses RRC signaling to configure spatial relation information for each PUCCH resource through the parameter PUCCH-Spatial Relation Info. When the spatial relation information configured for the PUCCH resource contains multiple spatial relation information, MAC CE is used to indicate or activate one of the spatial relation information. When the spatial relation information configured for the PUCCH resource contains only one, no additional MAC CE command is required.

For the beam indication of the Physical Uplink Shared Channel (PUSCH), the spatial relation information of PUSCH is that when the DCI carried by PDCCH schedules PUSCH, each SRI codepoint in the Sounding Reference Signal resource indicator (SRI) field in the DCI indicates an SRI, which is used to indicate the spatial relation information of PUSCH.

For the beam indication of SRS, when the SRS type is periodic SRS, the network configures spatial relation information for the SRS resource through RRC signaling. When the SRS type is semi-persistent SRS, the network activates one from a set of spatial relation information configured by RRC through MAC CE command. When the SRS type is aperiodic SRS, The network configures spatial relation information for the SRS resource through RRC signaling.

For further improvement of beam indication, a unified TCI is proposed. Simply put, the TCI field in a DCI is used to indicate the beam information of subsequent reference signals and multiple channels.

It should be noted that the beam information, spatial relation information, spatial domain transmission filter information, spatial filter information, TCI state information, QCL information, QCL parameters, spatial relation information, beam correlation relationship, etc. mentioned have approximately the same meaning and can be replaced with each other.

Among them, downlink beam information can usually be represented by TCI state information and QCL information, and uplink beam information can usually be represented by spatial relation information.

4. Regarding the effective time of beam indication.

4.1 PDCCH

If the UE receives a MAC CE activation command indicating one of the TCI states, the UE takes effect from , where k is the time slot in which the UE sends a PUCCH with a Hybrid automatic repeat request acknowledgement (HARQ-ACK) for PDSCH to provide an activation command (i.e., the HARQ-ACK of the activated MAC CE), and μ is the Subcarrier Spacing (SCS) of the PDCCH. The activated Bandwidth Part (BWP) is defined as the BWP activated on the time slot in which the activation command takes effect.

4.2 PDSCH

MAC CE activation effective time, PUCCH with HARQ/ACK (corresponding to PDSCH, MAC CE carries the activation command) in slot n, effective time, that is, the mapping relationship between TCI state and DCI TCI domain takes effect is In the first time slot after the HARQ/ACK, μ is the SCS of the PUCCH, that is, the MAC CE activation command takes effect 3 milliseconds (ms) after the corresponding HARQ/ACK.

DCI effective time, if TCI-PresentInDCI is enabled or TCI-PresentDCI-1-2 is configured in the CORESET that schedules PDSCH, the time offset between receiving DCI and scheduling PDSCH should be greater than or equal to timeDurationForQCL (if this parameter is reported).

5. About the use of AI methods for beam prediction.

One possible approach is shown in Figure 3. Using the RSRP of some beam pairs as input, the output of the AI model is the RSRP result of all beam pairs. A beam pair consists of a transmit beam and a receive beam. The number of inputs to the AI model is the number of selected partial beam pairs, and the number of outputs is the number of all beam pairs.

In addition, there is a method to enhance the beam prediction performance as shown in FIG4 .

The associated information is added on the input side. The associated information is generally the angle-related information corresponding to the selected beam pairs for input, beam identification (ID) information, etc. Therefore, the number of inputs of this model is still related to the number of selected beam pairs, and the number of outputs is still equal to the number of all beam pairs.

There is also an improved method based on the above as shown in FIG5 .

It mainly affects the output of the AI model by changing the expected information through the AI model.

The input type of the AI model includes at least one of the following:

(1) Information related to beam quality;

(2) beam information;

(3) End A sends beam information;

For example, end A can be a terminal or a network side device.

(4) End B receives beam information;

For example, end B can be a network-side device or terminal.

(5) Beam information expected by end B;

(6) The B-side receiving beam information expected by the B-side;

(7) The beam information that the B end expects the A end to send;

(8) Time-related information related to beam quality;

(9) Information related to the expected prediction time.

The beam quality information herein includes but is not limited to at least one of the following types: L1-SINR, L1-RSRP, Reference Signal Received Quality (L1-RSRQ), Layer 3 signal-to-noise and interference ratio (L3-SINR), Layer 3 reference signal received power (L3-RSRP), Layer 3 reference signal received quality (L3-RSRQ), etc.

The beam information in this article refers to the associated information corresponding to the beam quality information contained in the beam report. The associated information includes but is not limited to at least one of the following: beam ID information, beam angle information, beam gain information, beam width information, expected information, etc.

Among them, the beam ID information is used to characterize the relevant information of the identity identification of the beam, including but not limited to at least one of the following: transmitting beam ID, receiving beam ID, beam ID, reference signal set (set) ID corresponding to the beam, reference signal resource ID corresponding to the beam, uniquely identified random ID, encoding value after additional AI network processing, beam angle information, resource index information, CRI, SSBRI, etc.

The beam angle information is used to characterize the angle information corresponding to the beam, including but not limited to at least one of the following: angle-related information, sending angle-related information, and receiving angle-related information.

The angle information is related information used to characterize the angle or identity, for example, angle, radian, index encoding value, ID value, encoding value after additional AI network processing, etc.

4. Regarding beam reporting and beam resource configuration.

The association relationships are as follows: beam report configuration is associated with resource configuration, resource configuration is associated with beam resource set configuration, and beam resource set configuration is associated with beam resource configuration.

For example, CSI report configuration (CSI-ReportConfig) is associated with CSI resource configuration (CSI-ResourceConfig), and CSI-ResourceConfig is associated with resource set (Resource Set) and time domain behavior.

Among them, (1) If the CSI-RS resource set is used, the corresponding non-zero power (NZP)-CSI-RS-Resource Set is associated with the NZP-CSI-RS-Resource in the Resource Set, and the time domain behavior is used to indicate Indicates the time domain periodicity attribute associated with the CSI-RS resource set.

(2) If the SSB resource set is used, the corresponding one is CSI-SSB-Resource Set, and the SSB index (Index) is associated in the Resource Set. At this time, the time domain behavior is invalid.

A CSI-ReportConfig (e.g., beam report configuration) contains up to three CSI-ResoureConfig (e.g., beam resource configuration), and the specific relationship is as follows:

(1) Aperiodic CSI-ReportConfig can be associated with periodic or semi-persistent CSI-ResourceConfig, and up to three beam resource configurations can be configured.

(a) When 1 CSI-ResourceConfig is configured, it is used for channel measurement (CM), for example, including L1-RSRP measurement.

(b) Configure 2 CSI-ResourceConfigs, the first one is used for CM and the second one is used for interference measurement (Interference Measurement, IM), for example, the second one is used for interference measurement of zero power resources.

(c) Three CSI-ResourceConfigs are configured, the first one is used for CM, the second one is used for IM, for example, the second one is used for interference measurement of zero power resources, and the third one is used for interference measurement, for example, the third one is used for interference measurement of non-zero power resources.

(2) Semi-persistent CSI-ReportConfig can be associated with periodic or semi-persistent CSI-ResourceConfig, and up to 2 beam resource configurations can be configured.

(a) 1 CSI-ResourceConfig, used for CM channel measurement, such as L1-RSRP measurement.

(b) 2 CSI-ResourceConfigs, the first one is for CM and the second one is for IM, for example, the second one is used for interference measurement of zero power resources.

(3) Periodic CSI-ReportConfig can be associated with periodic and semi-continuous CSI-ResourceConfig, and can configure up to 2 beam resource configurations

Among them, the time domain behaviors of one or more CSI-ResourceConfigs associated with CSI-ReportConfig are consistent.

For periodic and semi-continuous CSI resourceConfig only one Resource set is supported. However, if group-based beam reporting is supported in the report, two sets can be configured.

For non-periodic CSI resourceConfig, there is no limit of 1 set and a maximum of 16 sets can be configured.

A maximum of 64 NZP CSI-RS reousrces are supported in one CSI-RS resource set. When reportQuantity = 'none', 'cri-RI-CQI', 'cri-RSRP' or 'ssb-Index-RSRP', a maximum of 128 resources are supported in all CSI-RS resource sets.

The repetition information associated with the CSI-RS resource set, if configured to be on, the UE will assume that all CSI-RS resources in the CSI-RS resource set use the same transmit beam information when they are sent. If configured to be off, the UE will not assume that these resources use the same transmit beam information. That is, the repetition parameter in the CSI-RS resource set will control the beam information attributes of all resources associated with the resource set.

5. About model monitoring.

If the AI model is inferred on the network side, the terminal can feed back the measurement results to the network side. The feedback content includes at least the input of the model and the label data used for model monitoring, thereby realizing the model monitoring function on the network side.

FIG6 shows a block diagram of a wireless communication system applicable to an embodiment of the present application. The wireless communication system includes a terminal 61 and a network side device 62. The wireless communication system may be a communication system with wireless AI functions such as 5G-Advanced or 6G.

Among them, the terminal 61 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) device , robots, wearable devices (Wearable Device), vehicle user equipment (VUE), pedestrian user equipment (PUE), smart home (home appliances with wireless communication functions, such as refrigerators, televisions, washing machines or furniture, etc.), game consoles, personal computers (personal computers, PCs), teller machines or self-service machines and other terminal-side devices, wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. In addition to the above-mentioned terminal devices, the terminal involved in this application can also be a chip in the terminal, such as a modem chip, a system-on-chip (SoC). It should be noted that the specific type of terminal 61 is not limited in the embodiment of this application.

The network side equipment 62 may include access network equipment or core network equipment, wherein the access network equipment may also be called wireless access network equipment, wireless access network (Radio Access Network, RAN), wireless access network function or wireless access network unit. The access network equipment may include base stations, wireless local area networks (WLAN) access points or wireless fidelity (WiFi) nodes, etc. The base station may be called Node B, evolved Node B (eNB), access point, base transceiver station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), home Node B, home evolved Node B, Transmitting Receiving Point (TRP) or other appropriate term in the field. As long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that in the embodiments of the present application, only the base station in the NR system is taken as an example for introduction, and the specific type of the base station is not limited.

The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (Mobility Management Entity, MME), access and mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane function (User Plane Function, UPF), policy control function (Policy Control Function, PCF), policy and charging rules function unit (Policy and Charging Rules Function, PCRF), edge application service discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data repository (Unified Data Repository, UDR), home user server (Home Subscriber Server, HSS), centralized network configuration (CNC), network storage function (NRF), network exposure function (NEF), local NEF (Local NEF, or L-NEF), binding support function (BSF), application function (AF), etc. It should be noted that in the embodiment of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

The communication processing method, apparatus, communication device and readable storage medium provided in the embodiments of the present application are described in detail below with reference to the accompanying drawings through some embodiments and their application scenarios.

Referring to FIG. 7 , an embodiment of the present application provides a communication processing method, and the specific steps include: step 701 and step 702 .

Step 701: The terminal determines the second object according to the QCL information of the first object;

In this embodiment, the QCL information of the first object is associated with the second object. Optionally, the association relationship between the QCL information of the first object and the second object may be configured by a network-side device, agreed upon by a protocol, or reported by a terminal.

Step 702: The terminal receives or sends the first object according to the second object;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an AI model, the output of the AI model, and the post-processing result of the AI model output; wherein the second resource includes at least two second target resources, the second resource set includes at least one second target resource set, one second target resource set can include at least two second target resources, and the above-mentioned beam information can include at least one of sending beam information and receiving beam information.

The above-mentioned AI model is used for beam prediction. The AI model can be an AI model configured by a network-side device for the terminal, or an AI model on the terminal side, or an AI model on the network side.

The output of the above AI model refers to the output result of the AI model.

The post-processing result of the above-mentioned AI model output refers to the result obtained by post-processing the output result of the AI model when the output result of the AI model is a parameter that needs to be processed, such as obtaining applicable beam information.

In this embodiment, when the second object includes a second resource, and the second resource includes at least two second target resources, or when the second object includes a second resource set, and the second resource set includes at least one second target resource set, the terminal can select an optimal receiving beam or an optimal transmitting beam based on multiple second target resources, and use the optimal receiving beam to receive the first object or use the optimal transmitting beam to send the first object. The terminal can use the optimal receiving beam or the optimal transmitting beam as the input of the AI model to improve the prediction performance of the AI model; when the second object includes an AI model, an output of the AI model, or a post-processing result of the output of the AI model, the terminal can select an optimal receiving beam or an optimal transmitting beam based on the AI model, the output of the AI model, or the post-processing result of the output of the AI model, and use the optimal receiving beam to receive the first object or use the optimal transmitting beam to send the first object. The terminal can use the optimal receiving beam or the optimal transmitting beam as the input of the AI model to improve the prediction performance of the AI model; when the second object includes at least one transmitting beam information, the terminal can directly use at least one transmitting beam information to determine the optimal receiving beam or the optimal transmitting beam, and then use the optimal receiving beam to transmit the first object. The terminal uses the optimal receiving beam or the optimal transmitting beam to receive the first object, thereby avoiding the problem that the receiving beam or the transmitting beam determined by a sending reference signal is not optimal. The terminal can use the optimal receiving beam or the optimal transmitting beam as the input of the AI model to improve the prediction performance of the AI model.

Optionally, the first resource may be a first reference signal resource, and the first resource set may be a first reference signal resource set; the second target resource may be a second reference signal resource, and the second target resource set may be a second reference signal resource set. In one embodiment of the present application, the association manner of the QCL information of the first object and the second object includes one of the following:

(1) Direct association: the QCL information of the first object is directly associated with the second object;

Optionally, in a case where the second object is directly associated with the QCL information of the first object, the TCI information associated with the QCL information of the first object is not effective or cannot be configured;

Optionally, the QCL information may include QCL configuration information, such as the QCL configuration information of the first object is directly associated with the second object.

(2) Indirect association method: The QCL information of the first object is associated with the second object through TCI information.

Optionally, in a case where the QCL information of the first object is associated with the second object through TCI information, the content in the QCL information of the first object that is directly associated with the second object is not effective or cannot be configured.

In one embodiment of the present application, the QCL information or the TCI information of the first object at least includes the quasi co-location type D or only includes the quasi co-location type D.

In one embodiment of the present application, when the QCL information of the first object is associated with the second object through TCI information, one TCI information includes a quasi-co-location type D (QCL-type D), and the quasi-co-location type D is associated with the second object; or, one TCI information includes multiple quasi-co-location type D types, each of the quasi-co-location type D is associated with a second target resource, or a second target resource set, or a beam information.

In an implementation manner of the present application, associating the QCL information of the first object with the second object through TCI information includes one of the following:

(1) The QCL information of the first object is associated with a TCI information, the TCI information includes a quasi co-location type D type, and the quasi co-location type D is associated with the second object;

(2) The QCL information of the first object is associated with a TCI information, the TCI information includes a plurality of quasi co-location types D, and each of the quasi co-location types D is associated with a second target resource, or a second target resource set, or a beam information;

(3) The QCL information of the first object is associated with one or more TCI information, each TCI information contains a quasi co-location type D, and the quasi co-location type D is associated with a second target resource, or a second target resource set, or a beam information.

In one embodiment of the present application, the method further includes:

When the QCL information of the first object is associated with multiple TCI information, and the multiple TCI information includes more than one QCL information of non-quasi co-location type D, the terminal selects the target QCL information of non-quasi co-location type D according to a preset selection method;

The preset selection method includes at least one of the following:

(1) Quasi-co-site type A (QCL-type A) is preferred;

(2) Quasi-co-site type B (QCL-type B) is preferred;

(3) Quasi-co-site type C (QCL-type C) is preferred;

(4) TCI information with a smaller TCI ID is preferred;

(5) TCI information with a larger TCI mark is preferred;

(6) TCI information with a smaller TCI identifier and containing non-quasi-co-location type D is preferred;

(7) TCI information with a larger TCI identifier and containing non-quasi-co-location type D is preferred;

(8) The first TCI information configured or indicated is preferred;

(9) Prioritize the first TCI information that is configured or indicated and contains non-quasi-co-location type D. For example, prioritize the quasi-co-location type A. If there is no or multiple TCIs of type A, select the first TCI information that is configured or indicated and contains quasi-co-location type A.

In one embodiment of the present application, the second object satisfies at least one of the following:

(1) a second resource or a second resource set included in the second object is associated with a repetition on attribute;

(2) the second resource or the second resource set included in the second object is used for beam scanning;

(3) The feedback type of the beam report associated with the second object is equal to none.

In one implementation manner of the present application, the terminal receives or sends the first object according to the second object, including:

The terminal determines, according to the second object, at least one receiving beam or at least one transmitting beam;

The terminal receives the first object according to the at least one receiving beam, or transmits the first object according to the at least one transmitting beam.

In one embodiment of the present application, the method further comprises:

The terminal uses at least one receiving beam or transmitting beam determined by the second object as input of the AI model to perform beam prediction.

In an implementation manner of the present application, the terminal determines, according to the second object, at least one receiving beam or at least one transmitting beam, including one of the following:

(1) The terminal determines, according to a target resource or a target resource set in the second object that is closest to the first object in the time domain, at least one receiving beam or at least one transmitting beam;

(2) the terminal determines at least one receiving beam or at least one transmitting beam according to a target resource or a target resource set in the second object that satisfies a first time window in the time domain with the first object;

Among them, satisfying the first time window means that the second object and the first object are within the time window. Optionally, the first time window may be configured by a network-side device, agreed upon by a protocol, or reported by a terminal.

(3) The terminal determines at least one receiving beam or at least one transmitting beam according to a third target resource or a third target resource set, where the third target resource or the third target resource set is reported by the terminal or indicated by the network side. The third target resource or the third target resource set is determined according to the second object.

In one embodiment of the present application, the first object satisfies at least one of the following:

(1) a first resource or a first resource set included in the first object is associated with a repetition off attribute;

(2) the first resource or the first resource set included in the first object is used for beam scanning;

(3) The terminal does not expect the feedback type of the beam report associated with the first object to be equal to none.

In one embodiment of the present application, the method further includes:

The terminal reports first information, where the first information is used to indicate at least one of a maximum number of second target resources associated with the QCL information of the first object and a maximum number of a second target resource set associated with the QCL information of the first object.

In one embodiment of the present application, the information types of at least some of the first target resources in the first object are the same; or, the information types associated in at least some of the first target resource sets in the first object are the same; or, the information types of at least some of the second target resources in the second object are the same; or, the information types associated in at least some of the second target resource sets in the second object are the same.

In an implementation manner of the present application, if the first object includes multiple first target resources or first target resource sets, different first target resources or first target resource sets are associated with different second objects.

In one embodiment of the present application, the information type of the first object includes: at least one of a downlink reference signal, an uplink reference signal, a downlink channel, and an uplink channel, for example, CSI-RS, SSB, a tracking reference signal (TRS), a positioning reference signal (PRS), a sounding reference signal (SRS), PUCCH, PUSCH, PDCCH, and PDSCH.

In one embodiment of the present application, the information type of the second object includes: at least one of a downlink reference signal and an uplink reference signal, for example, CSI-RS, SSB, TRS, PRS, SRS, etc.

In one embodiment of the present application, the association method of the QCL information includes at least one of the following: wireless resource control configuration, MAC CE update, and downlink control information indication.

In this embodiment, the QCL information of the first object is associated with the second object. The terminal can select the optimal receiving beam or transmitting beam according to the second object, and receive the first object through the optimal receiving beam, or transmit the first object through the optimal transmitting beam, so that the terminal can select the optimal receiving beam or transmitting beam. When the terminal uses the AI model for beam prediction, the terminal can use the selected optimal receiving beam or transmitting beam as the input of the AI model, which can improve the accuracy of the AI model for beam prediction. On the other hand, since the first object is associated with the second object through QCL information, such as being associated with at least two second target resources, or at least one second target resource set, or at least one beam information, frequent updates of the QCL information of the first object are avoided, reducing signaling overhead.

Referring to FIG. 8 , an embodiment of the present application provides a communication processing method, and the specific steps include: step 801 and step 802 .

Step 801: A network-side device configures QCL information of a first object to be associated with a second object.

Step 802: The network-side device receives or sends the first object according to the second object.

The first object includes at least one of the following: a first resource, a first resource set; The source includes at least one first target resource, and the first resource set includes at least one first target resource set;

In one implementation of the present application, the manner in which the QCL information of the first object is associated with the second object includes one of the following:

In one embodiment of the present application, the method further includes:

When the QCL information of the first object is associated with multiple TCI information, and the multiple TCI information contains more than one QCL information of non-quasi co-location type D, the network side device selects the target non-quasi co-location type D QCL information according to a preset selection method;

The preset selection method includes at least one of the following:

(1) Quasi-co-site type A (QCL-type A) is preferred;

(2) Quasi-co-site type B (QCL-type B) is preferred;

(3) Quasi-co-site type C (QCL-type C) is preferred;

(4) TCI information with a smaller TCI ID is preferred;

(5) TCI information with a larger TCI mark is preferred;

(8) The first TCI information configured or indicated is preferred;

In one embodiment of the present application, the method further includes:

The network side device receives first information, where the first information is used to indicate at least one of a maximum number of second target resources associated with the QCL information of the first object and a maximum number of a second target resource set associated with the QCL information of the first object.

In one embodiment of the present application, the information type of the first object includes: a downlink reference signal, an uplink reference signal, a downlink channel, at least one of an uplink channel, for example, CSI-RS, SSB, TR), PRS, SRS, PUCCH, PUSCH, PDCCH, PDSCH.

In one embodiment of the present application, the information type of the second object includes: a downlink reference signal, an uplink reference signal At least one of the reference signals, for example, CSI-RS, SSB, TRS, PRS, SRS, etc.

In this embodiment, the network side device configures the QCL information of the first object to be associated with the second object, so that the terminal can select the optimal receiving beam or transmitting beam according to the second object, and receive the first object through the optimal receiving beam, or transmit the first object through the optimal transmitting beam. In this way, when the terminal uses the AI model for beam prediction, the terminal can select the optimal receiving beam or transmitting beam through the second object associated with the QCL information of the first object, which can improve the accuracy of the AI model in beam prediction. On the other hand, since the first object is associated with the second object through QCL information, such as being associated with at least two second target resources, or at least one second target resource set, or at least one beam information, frequent updates of the QCL information of the first object are avoided, reducing signaling overhead.

In order to better understand the embodiments of the present application, embodiments 1 to 4 are introduced below.

Embodiment 1: QCL association method for periodic CSI-RS resources or resource sets.

In the related art, a CSI-RS resource is associated with a TCI state identifier (TCI-stateId), which corresponds to a QCL type D target reference signal resource.

The QCL correlation methods in Example 1 include the following methods 1 to 6.

Mode 1: The QCL information of a periodic CSI-RS resource or resource set is directly associated with a target reference signal resource set.

Mode 2: The QCL information of a periodic CSI-RS resource or resource set is directly associated with multiple target reference information resources or resource sets.

Method 3: The QCL information of a periodic CSI-RS resource or resource set is associated with a TCI-stateId, which corresponds to a target reference signal resource set of QCL type D.

Method 4: The QCL information of a periodic CSI-RS resource or resource set is associated with a TCI-stateId, which corresponds to multiple QCL type Ds, and each QCL type D is associated with a target reference signal resource or resource set.

Method 5: The QCL information of a periodic CSI-RS resource or resource set is associated with a TCI-stateId, and the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to multiple target reference signal resources or resource sets.

Method 6: The QCL information of a periodic CSI-RS resource or resource set is associated with multiple TCI-stateIds, where the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to one target reference signal resource or resource set.

The above methods 1 and 2 are direct associations, and methods 3 to 6 are indirect associations.

Embodiment 2: QCL association method for semi-persistent CSI-RS resources or resource sets.

In the related technology, semi-persistent CSI-RS resources are configured in a semi-persistent CSI-RS resource set, and the semi-persistent CSI-RS resource set is activated using MAC CE signaling, and the resources in the corresponding resource set are also activated accordingly. At the same time, the activated MAC CE signaling indicates the TCI-stateId of each corresponding semi-persistent CSI-RS resource.

The QCL correlation methods in Example 2 include the following methods 1 to 6.

Method 1: Semi-persistent CSI-RS resources or resource sets are directly associated with a target reference signal resource set as QCL information.

Mode 2: A semi-persistent CSI-RS resource or resource set is directly associated with multiple target reference information resources or resource sets as QCL information.

Method 3: A semi-persistent CSI-RS resource or resource set is associated with a TCI-stateId, which corresponds to a target reference signal resource set of QCL type D as QCL information.

Method 4: A semi-persistent CSI-RS resource or resource set is associated with a TCI-stateId, which corresponds to multiple QCL type Ds, and each QCL type D is associated with a target reference signal resource or resource set as QCL information.

Method 5: A semi-persistent CSI-RS resource or resource set is associated with a TCI-stateId, which corresponds to one QCL type D, and the QCL type D corresponds to multiple target reference signal resources as QCL information.

Method 6: A semi-persistent CSI-RS resource or resource set is associated with multiple TCI-stateIds, where the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to one target reference signal resource or resource set.

For methods 3-6, the semi-persistent CSI-RS resource or resource set is associated with one or more TCI-stateIds, which can be determined by configuring the association in the semi-persistent CSI-RS resource or resource set, or by the indication information carried in the MAC CE signaling that activates the semi-persistent CSI-RS resource/resource set.

Embodiment 3: QCL association method for non-periodic CSI-RS resources or resource sets.

In the related art, the trigger state is associated with an aperiodic CSI report and an aperiodic CSI-RS resource set at the same time, and each resource in the CSI-RS resource is associated with a QCL information in the configuration information.

The QCL correlation methods in Example 3 include the following methods 1 to 6.

Mode 1: An aperiodic CSI-RS resource set or an aperiodic CSI-RS resource is directly associated with a target reference signal resource set as QCL information.

Mode 2: A non-periodic CSI-RS resource set or a non-periodic CSI-RS resource is directly associated with multiple target reference information resources or resource sets as QCL information.

Method 3: A non-periodic CSI-RS resource set or a non-periodic CSI-RS resource is associated with a TCI-stateId, and the TCI-stateId corresponds to a target reference signal resource set of QCL type D as QCL information.

Method 4: A non-periodic CSI-RS resource set or a non-periodic CSI-RS resource is associated with a TCI-stateId, which corresponds to multiple QCL type Ds, and each QCL type D is associated with a target reference signal resource or a resource set as QCL information.

Method 5: A non-periodic CSI-RS resource set or a non-periodic CSI-RS resource is associated with a TCI-stateId, and the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to multiple target reference signal resources as QCL information.

Method 6: A non-periodic CSI-RS resource set or a non-periodic CSI-RS resource is associated with multiple TCI-stateIds, and the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to one target reference signal resource or resource set.

Example 4: QCL correlation method for SSB.

In the related art, SSB will not be configured with QCL information.

The QCL correlation methods in Example 4 include the following methods 1 to 6.

Method 1: One or a group of SSB resources are directly associated with a target reference signal resource set as QCL information.

Method 2: One or a group of SSB resources directly associate multiple target reference information resources or resource sets as QCL information.

Method 3: One or a group of SSB resources are associated with a TCI-stateId, which corresponds to a QCL type D target reference signal resource set as QCL information.

Method 4: One or a group of SSB resources are associated with a TCI-stateId, which corresponds to multiple QCL type D. Each QCL type D is associated with a target reference signal resource or a resource set as QCL information.

Method 5: One or a group of SSB resources are associated with a TCI-stateId, which corresponds to one QCL type D, and which corresponds to multiple target reference signal resources as QCL information.

Method 6: One or a group of SSB resources are associated with multiple TCI-stateIds, where the TCI-stateId corresponds to one QCL type D, and the QCL type D corresponds to one target reference signal resource or resource set.

Referring to FIG. 9 , an embodiment of the present application provides a communication processing device, which is applied to a terminal. The device 900 includes:

A first determining module 901, configured to determine a second object according to QCL information of a first object;

A first transceiver module 902, configured to receive or send the first object according to the second object;

Mode 1: The QCL information of the first object is directly associated with the second object;

Optionally, the QCL information may include QCL configuration information.

Mode 2: The QCL information of the first object is associated with the second object through TCI information.

In one embodiment of the present application, when the QCL information of the first object is associated with the second object through TCI information, one TCI information includes a quasi-co-location type D, and the quasi-co-location type D is associated with the second object; or, one TCI information includes multiple quasi-co-location type D types, and each quasi-co-location type D is associated with a second target resource, or a second target resource set, or a beam information.

In one embodiment of the present application, the QCL information of the first object is associated with the second object through TCI information. The object is one of the following:

(2) The QCL information of the first object is associated with a TCI information, the TCI information includes a plurality of quasi co-location types D, and each of the quasi co-location types D is associated with a second target resource, a second target resource set, or a beam information;

In one embodiment of the present application, the device further includes:

A first selection module is configured to select, according to a preset selection method, the target non-quasi co-location type D QCL information when the QCL information of the first object is associated with multiple TCI information and the multiple TCI information contains more than one QCL information of the non-quasi co-location type D;

The preset selection method includes at least one of the following:

(1) Quasi-co-location type A is preferred;

(2) Quasi-co-location type B is preferred;

(3) Quasi-co-location type C is preferred;

(4) TCI information with a smaller TCI mark is preferred;

(5) TCI information with a larger TCI mark is preferred;

(8) The first TCI information configured or indicated is preferred;

(9) The first TCI information that is configured or indicated and contains the non-quasi-co-location type D is preferentially selected.

In one implementation of the present application, the first transceiver module 902 includes:

a determining unit, configured to determine at least one receiving beam or at least one transmitting beam according to a second object;

A transceiver unit is used to receive the first object according to the at least one receiving beam, or to send the first object according to the at least one transmitting beam.

In one embodiment of the present application, the determining unit is further used for one of the following:

(1) determining at least one receiving beam or at least one transmitting beam according to a target resource or a target resource set in the second object that is closest to the first object in the time domain;

(2) determining at least one receiving beam or at least one transmitting beam according to a target resource or a set of target resources in the second object that satisfies a first time window in the time domain with the first object;

(3) Determine at least one receiving beam or at least one transmitting beam based on a third target resource or a third target resource set, wherein the third target resource or the third target resource set is reported by the terminal or indicated by the network side, and the third target resource or the third target resource set is determined based on the second object.

In one embodiment of the present application, the first transceiver module is also used to send first information, and the first information is used to indicate at least one of the maximum number of second target resources associated with the QCL information of the first object and the maximum number of second target resource sets associated with the QCL information of the first object.

In one embodiment of the present application, the information type of the first object includes: at least one of a downlink reference signal, an uplink reference signal, a downlink channel, and an uplink channel; or, the information type of the second object includes: at least one of a downlink reference signal and an uplink reference signal.

The device provided in the embodiment of the present application can implement each process implemented by the method embodiment of Figure 7 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

Referring to FIG. 10 , an embodiment of the present application provides a communication processing device, which is applied to a network side device. The device 1000 includes:

Configuration module 1001, used to configure the QCL of the first object to be associated with the second object;

A second transceiver module 1002, configured to receive or send the first object according to the second object;

Optionally, the QCL information may include QCL configuration information.

In one embodiment of the present application, the device further includes:

A second selection module is configured to select the target non-quasi co-location type D QCL information according to a preset selection method when the QCL information of the first object is associated with multiple TCI information and the multiple TCI information contains more than one QCL information of the non-quasi co-location type D;

The preset selection method includes at least one of the following:

(1) Quasi-co-location type A is preferred;

(2) Quasi-co-location type B is preferred;

(3) Quasi-co-location type C is preferred;

(4) TCI information with a smaller TCI mark is preferred;

(5) TCI information with a larger TCI mark is preferred;

(8) The first TCI information configured or indicated is preferred;

The device provided in the embodiment of the present application can implement each process implemented by the method embodiment of Figure 8 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

Fig. 11 is a schematic diagram of the hardware structure of a terminal implementing an embodiment of the present application. The terminal 1100 includes but is not limited to: a radio frequency unit 1101, a network module 1102, an audio output unit 1103, an input unit 1104, a sensor 1105, a display unit 1106, a user input unit 1107, an interface unit 1108, a memory 1109, and at least some of the components in the processor 1110.

Those skilled in the art will appreciate that the terminal 1100 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 1110 through a power management system, so that the power management system can manage charging, discharging, and power consumption. The terminal structure shown in FIG11 does not constitute a limitation on the terminal, and the terminal may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described here. Elaborate.

It should be understood that in the embodiment of the present application, the input unit 1104 may include a graphics processing unit (GPU) 11041 and a microphone 11042, and the graphics processor 11041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 1106 may include a display panel 11061, and the display panel 11061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1107 includes a touch panel 11071 and at least one of other input devices 11072. The touch panel 11071 is also called a touch screen. The touch panel 11071 may include two parts: a touch detection device and a touch controller. Other input devices 11072 may include, but are not limited to, a physical keyboard, function keys (such as a volume control key, a switch key, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

In the embodiment of the present application, after receiving downlink data from the network side device, the RF unit 1101 can transmit the data to the processor 1110 for processing; in addition, the RF unit 1101 can send uplink data to the network side device. Generally, the RF unit 1101 includes but is not limited to an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

The memory 1109 can be used to store software programs or instructions and various data. The memory 1109 can mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area can store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 1109 can include a volatile memory or a non-volatile memory, or the memory 1109 can include both a volatile and a non-volatile memory, or the memory 1109 can include a non-transient memory. Among them, the non-volatile memory or non-transient memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 1109 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

The processor 1110 may include one or more processing units; optionally, the processor 1110 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 1110.

The terminal provided in the embodiment of the present application can implement each process implemented in the method embodiment of Figure 7 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

Please refer to FIG. 12, which is a structural diagram of a network side device applied in an embodiment of the present invention. As shown in FIG. 12, a communication device 1200 includes: a processor 1201, a transceiver 1202, a memory 1203 and a bus interface, wherein the processor 1201 may be responsible for managing bus architecture and general processing. Memory 1203 may store data used by processor 1201 when performing operations.

In one embodiment of the present invention, the communication device 1200 further includes: a program stored in the memory 1203 and executable on the processor 1201 , and when the program is executed by the processor 1201 , the steps in the method shown in FIG. 8 are implemented.

In FIG. 12 , the bus architecture may include any number of interconnected buses and bridges, specifically linking together various circuits of one or more processors represented by processor 1201 and memory represented by memory 1203. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface. The transceiver 1202 may be a plurality of components, namely, a transmitter and a receiver, providing a unit for communicating with various other devices over a transmission medium.

As shown in Figure 13, an embodiment of the present application also provides a communication device 1300, including a processor 1301 and a memory 1302, and the memory 1302 stores programs or instructions that can be run on the processor 1301. For example, when the communication device 1300 is a terminal, the program or instruction is executed by the processor 1301 to implement the various steps of the method embodiment of Figure 7 above. When the communication device 1300 is a network side device, the program or instruction is executed by the processor 1301 to implement the various steps of the method embodiment of Figure 8 above and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the method of Figure 7 or Figure 8 and the various processes of the above-mentioned embodiments are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk.

An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes shown in Figure 7 or Figure 8 and the various method embodiments mentioned above, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

The embodiments of the present application further provide a computer program/program product, which is stored in a storage medium, and is executed by at least one processor to implement the various processes shown in Figure 7 or Figure 8 and the various method embodiments described above, and can achieve the same technical effect. To avoid repetition, it will not be described here.

An embodiment of the present application also provides a communication system, which includes a terminal and a network side device. The terminal is used to execute the various processes as shown in Figure 7 and the various method embodiments described above, and the network side device is used to execute the various processes as shown in Figure 8 and the various method embodiments described above, and can achieve the same technical effect. In order to avoid repetition, it will not be repeated here.

It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also And also include other elements not explicitly listed, or also include elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "including one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, a magnetic disk, or an optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

A communication processing method, comprising:

The terminal determines the second object according to the quasi co-location QCL information of the first object;

The terminal receives or sends the first object according to the second object;

The first object includes at least one of the following: a first resource, a first resource set; wherein the first resource includes at least one first target resource, and the first resource set includes at least one first target resource set;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an artificial intelligence AI model, the output of the AI model, and the post-processing result of the AI model output; wherein the second resource includes at least two second target resources, and the second resource set includes at least one second target resource set.
The method according to claim 1, wherein the QCL information of the first object is directly associated with the second object;

or,

The QCL information of the first object is associated with the second object through transmission configuration indication TCI information.
The method according to claim 2, wherein the QCL information or the TCI information of the first object includes at least a quasi co-location type D or only includes a quasi co-location type D.
The method according to claim 2, wherein, in the case where the second object is directly associated in the QCL information of the first object, the TCI information associated with the QCL information of the first object is not effective or cannot be configured;

or,

In the case where the QCL information of the first object is associated with the second object through TCI information, the content in the QCL information of the first object that is directly associated with the second object is not effective or cannot be configured.
The method according to claim 2, wherein, in a case where the QCL information of the first object is associated with the second object through TCI information,

One of the TCI information includes a quasi co-location type D, and the quasi co-location type D is associated with the second object;

or,

One TCI information includes multiple quasi co-location type D types, and each of the quasi co-location type D is associated with a second target resource, or a second target resource set, or a beam information.
The method according to claim 2, wherein associating the QCL information of the first object with the second object through TCI information comprises:

The QCL information of the first object is associated with a TCI information, the TCI information includes a quasi co-location type D type, and the quasi co-location type D is associated with the second object;

or,

The QCL information of the first object is associated with a piece of TCI information, the TCI information includes a plurality of quasi co-location types D, and each of the quasi co-location types D is associated with a second target resource, or a second target resource set, or a piece of beam information;

or,

The QCL information of the first object is associated with one or more TCI information, each TCI information contains a quasi co-location type D, and the quasi co-location type D is associated with a second target resource, or a second target resource set, or a beam information.
The method according to claim 6, wherein the method further comprises:

When the QCL information of the first object is associated with multiple TCI information, and the multiple TCI information includes more than one QCL information of non-quasi co-location type D, the terminal selects the target QCL information of non-quasi co-location type D according to a preset selection method;

The preset selection method includes at least one of the following:

Quasi-co-location type A is preferred;

Quasi-co-location type B is preferred;

Quasi-co-location type C is preferred;

TCI information with a smaller TCI mark is preferred;

Prioritize TCI information with larger TCI mark;

Prioritize TCI information with a smaller TCI identifier and containing non-quasi-co-location type D;

Prioritize TCI information with a larger TCI identifier and containing non-quasi-co-location type D;

The first TCI information configured or indicated is preferred;

The first TCI information that is configured or indicated and contains the non-quasi co-location type D is preferably selected.
The method according to claim 1, wherein the second object satisfies at least one of the following:

The second resource or second resource collection included in the second object is associated with a repetition on attribute;

The second resource or second resource set included in the second object is used for beam scanning;

The feedback type of the beam report associated with the second object is equal to none.
The method according to claim 1, wherein the terminal receives or sends the first object according to the second object, comprising:

The terminal determines, according to the second object, at least one receiving beam or at least one transmitting beam;

The terminal receives the first object according to the at least one receiving beam, or transmits the first object according to the at least one transmitting beam.
The method according to claim 9, wherein the terminal determines at least one receiving beam or at least one transmitting beam according to the second object, comprising:

The terminal determines, according to a target resource or a target resource set in the second object that is closest to the first object in the time domain, at least one receiving beam or at least one transmitting beam;

or,

The terminal determines, according to a target resource or a target resource set in the second object that satisfies a first time window in a time domain with the first object, at least one receiving beam or at least one transmitting beam;

or,

The terminal determines at least one receiving beam or at least one transmitting beam based on a third target resource or a third target resource set, wherein the third target resource or the third target resource set is reported by the terminal or indicated by the network side, and the third target resource or the third target resource set is determined based on the second object.
The method according to claim 1, wherein the first object satisfies at least one of the following:

The first resource or the first resource collection included in the first object is associated with a repetition off attribute;

The first resource or the first resource set included in the first object is used for beam scanning;

The terminal does not expect the feedback type of the beam report associated with the first object to be equal to none.
The method according to claim 1, wherein the method further comprises:

The terminal sends first information, where the first information is used to indicate at least one of a maximum number of second target resources associated with the QCL information of the first object and a maximum number of a second target resource set associated with the QCL information of the first object.
The method according to claim 1, wherein information types of at least some of the first target resources in the first object are the same;

or,

The information type associated with at least part of the first target resource set in the first object is the same;

or,

The information type of at least some of the second target resources in the second object is the same;

or,

The information type associated with at least part of the second target resource set in the second object is the same.
According to the method according to claim 1, if the first object includes multiple first target resources or first target resource sets, different first target resources or first target resource sets are associated with different second objects.
The method according to claim 1, wherein the information type of the first object comprises: at least one of a downlink reference signal, an uplink reference signal, a downlink channel, and an uplink channel;

or,

The information type of the second object includes: at least one of a downlink reference signal and an uplink reference signal.
According to the method according to claim 1, the association method of the QCL information includes at least one of the following: wireless resource control configuration, MAC CE update, and downlink control information indication.
A communication processing method, comprising:

The network side device configures the QCL information of the first object to be associated with the second object;

The network side device receives or sends the first object according to the second object; wherein the first object includes at least one of the following: a first resource, a first resource set; wherein the first resource includes at least one first target resource, and the first resource set includes at least one first target resource set;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an AI model, an output of the AI model, and a post-processing result of the AI model output; wherein the second resource includes at least two second target resources, and the second resource set includes at least one second target resource set.
The method of claim 17, wherein the QCL information of the first object is directly associated with the second object;

or,

The QCL information of the first object is associated with the second object through transmission configuration indication TCI information.
The method according to claim 18, wherein the QCL information or the TCI information of the first object includes at least a quasi co-location type D or only includes a quasi co-location type D.
The method according to claim 18, wherein, in a case where the second object is directly associated in the QCL information of the first object, the TCI information associated with the QCL information of the first object is not effective or cannot be configured;

or,

In the case where the QCL information of the first object is associated with the second object through TCI information, the content in the QCL information of the first object that is directly associated with the second object is not effective or cannot be configured.
The method according to claim 18, wherein, in a case where the QCL information of the first object is associated with the second object through TCI information,

One of the TCI information includes a quasi co-location type D, and the quasi co-location type D is associated with the second object;

or,

One TCI information includes multiple quasi co-location type D types, and each of the quasi co-location type D is associated with a second target resource, or a second target resource set, or a beam information.
The method according to claim 18, wherein associating the QCL information of the first object with the second object through TCI information comprises:

The QCL information of the first object is associated with a TCI information, the TCI information includes a quasi co-location type D type, and the quasi co-location type D is associated with the second object;

or,

The QCL information of the first object is associated with a piece of TCI information, the TCI information includes a plurality of quasi co-location types D, and each of the quasi co-location types D is associated with a second target resource, or a second target resource set, or a piece of beam information;

or,

The QCL information of the first object is associated with one or more TCI information, each TCI information contains a quasi co-location type D, and the quasi co-location type D is associated with a second target resource, or a second target resource set, or a beam information.
A communication processing device, comprising:

A first determining module, configured to determine a second object according to the QCL information of the first object;

A first transceiver module, configured to receive or send the first object according to the second object;

The first object includes at least one of the following: a first resource, a first resource set; wherein the first resource includes at least one first target resource, and the first resource set includes at least one first target resource set;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an AI model, output of the AI model, and post-processing results of the AI model output; wherein the second resource includes at least two second target resources, and the second resource set includes at least one second target resource set.
A communication processing device, comprising:

A configuration module, configured to configure the QCL of the first object to be associated with the second object;

A second transceiver module, configured to receive or send the first object according to the second object;

The first object includes at least one of the following: a first resource, a first resource set; wherein the first resource includes at least one first target resource, and the first resource set includes at least one first target resource set;

The second object includes at least one of the following: a second resource, a second resource set, at least one beam information, an AI model, an output of the AI model, and a post-processing result of the AI model output; wherein the second resource includes at least two second target resources, and the second resource set includes at least one second target resource set.
A communication device comprises a processor, a memory and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method as claimed in any one of claims 1 to 22.
A readable storage medium stores a program or instruction, and when the program or instruction is executed by a processor of a terminal, the steps of the method as described in any one of claims 1 to 22 are implemented.