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WO2024207380A1 - 无线定位信息的发送和接收方法以及装置 - Google Patents

无线定位信息的发送和接收方法以及装置 Download PDF

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Publication number
WO2024207380A1
WO2024207380A1 PCT/CN2023/086737 CN2023086737W WO2024207380A1 WO 2024207380 A1 WO2024207380 A1 WO 2024207380A1 CN 2023086737 W CN2023086737 W CN 2023086737W WO 2024207380 A1 WO2024207380 A1 WO 2024207380A1
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WIPO (PCT)
Prior art keywords
information
quality
data
related information
tag data
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PCT/CN2023/086737
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English (en)
French (fr)
Inventor
单宇佳
王昕�
Original Assignee
富士通株式会社
单宇佳
王昕�
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Publication date
Application filed by 富士通株式会社, 单宇佳, 王昕� filed Critical 富士通株式会社
Priority to PCT/CN2023/086737 priority Critical patent/WO2024207380A1/zh
Publication of WO2024207380A1 publication Critical patent/WO2024207380A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Definitions

  • the present application relates to the field of communication technology.
  • AI/ML artificial intelligence and machine learning
  • a widely studied "direct" artificial intelligence positioning model uses watermarking technology to attempt to fit the nonlinear relationship between the channel impulse response (CIR) between multiple network devices (such as base stations) and the target device (UE) and the coordinate position of the target device. It has been proven in many different experiments that it can achieve positioning accuracy several times higher than traditional positioning methods.
  • CIR channel impulse response
  • AI/ML models are data-driven learning algorithms.
  • the inference performance of the AI/ML model is often poor due to the poor correlation between the characteristics of the input data and the training data.
  • This problem is particularly prominent for the "direct watermark-based" AI/ML wireless positioning technology, because the model usually needs to infer the location of the terminal device based on the channel characteristics between multiple network devices (such as base stations) and terminal devices (such as UE). Once the channel between one of the network devices and the terminal device changes, the input-output relationship learned during training will no longer be applicable. Continuing to use this incorrect correspondence will inevitably result in poor model performance.
  • One of the solutions is to use AI/ML models to In an unfamiliar environment, channel measurement data of the current environment is collected to retrain or fine-tune the model to improve the generalization of the model, and/or, if the model performance is found to be poor, channel measurement data of the current environment is collected to supervise the performance of the current model.
  • the training data and/or supervision data required for the AI/ML model include label (LABEL, or also known as ground truth) data.
  • the label data corresponds to the precise geographic location (2D or 3D) of the terminal device in the current wireless environment, or the precise channel measurement results between the terminal device and the network device, such as TDOA, RSTD, ToA, AoA, channel LOS/NLOS indication information, etc.
  • TDOA precise geographic location
  • RSTD RSTD
  • ToA ToA
  • AoA channel LOS/NLOS indication information
  • these label data are often not obtained by the device deploying the AI/ML model.
  • an embodiment of the present application provides a method and device for sending and receiving wireless positioning information.
  • the device deploying the AI/ML model can make decisions on the current model optimization based on the quality-related information of the label data even when entering an unfamiliar environment, thereby improving the generalization of the model and improving the accuracy of wireless positioning of the AI/ML model.
  • a method for sending wireless positioning information including:
  • the terminal device obtains tag data used for wireless positioning and quality-related information corresponding to the tag data;
  • the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device.
  • a device for sending wireless positioning information which is configured in a terminal device, and the device includes:
  • An acquisition unit which acquires tag data used for wireless positioning and quality-related information corresponding to the tag data
  • a sending unit is configured to send the label data and/or quality related information corresponding to the label data to a network device.
  • a method for receiving wireless positioning information including:
  • the network device receives tag data for wireless positioning and quality-related information corresponding to the tag data from the terminal device.
  • a device for receiving wireless positioning information which is configured in a network device, and the device includes:
  • a receiving unit receives tag data for wireless positioning from a terminal device and quality-related information corresponding to the tag data.
  • a communication system including:
  • a terminal device which obtains tag data for wireless positioning and quality-related information corresponding to the tag data; and sends the tag data and/or quality-related information corresponding to the tag data to a network device;
  • a network device receives the label data and quality related information corresponding to the label data.
  • One of the beneficial effects of the embodiments of the present application is that by transmitting label data used for wireless positioning and corresponding quality-related information between network devices and terminal settings, the device deployed with the AI/ML model can make decisions on the optimization of the current model based on the quality-related information of the label data even when entering an unfamiliar environment, thereby improving the generalization of the model and enhancing the accuracy of wireless positioning of the AI/ML model.
  • FIG1 is a schematic diagram of an application scenario of an embodiment of the present application.
  • FIG2 is a schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application.
  • FIG3 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application.
  • FIG4 is an example diagram of transmitting tag data and/or quality related information between a UE and an LMF according to an embodiment of the present application
  • FIG5 is another example diagram of transmitting tag data and/or quality related information between a UE and an LMF according to an embodiment of the present application
  • FIG6 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application.
  • FIG7 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application.
  • FIG8 is a schematic diagram of an information receiving method according to an embodiment of the present application.
  • FIG9 is a schematic diagram of an information receiving method according to an embodiment of the present application.
  • FIG10 is a schematic diagram of an information sending device according to an embodiment of the present application.
  • FIG11 is a schematic diagram of an information receiving device according to an embodiment of the present application.
  • FIG. 12 is a schematic diagram of an electronic device according to an embodiment of the present application.
  • the terms “first”, “second”, etc. are used to distinguish different elements from the title, but do not indicate the spatial arrangement or time order of these elements, etc., and these elements should not be limited by these terms.
  • the term “and/or” includes any one and all combinations of one or more of the associated listed terms.
  • the terms “comprising”, “including”, “having”, etc. refer to the existence of the stated features, elements, components or components, but do not exclude the existence or addition of one or more other features, elements, components or components.
  • the term “communication network” or “wireless communication network” may refer to a network that complies with any of the following communication standards, such as Long Term Evolution (LTE), Enhanced Long Term Evolution (LTE-A), or the like. LTE-Advanced), Wideband Code Division Multiple Access (WCDMA), High-Speed Packet Access (HSPA), etc.
  • LTE Long Term Evolution
  • LTE-A Enhanced Long Term Evolution
  • WCDMA Wideband Code Division Multiple Access
  • HSPA High-Speed Packet Access
  • communication between devices in the communication system may be carried out according to communication protocols of any stage, such as but not limited to the following communication protocols: 1G (generation), 2G, 2.5G, 2.75G, 3G, 4G, 4.5G and future 5G, New Radio (NR), etc., and/or other communication protocols currently known or to be developed in the future.
  • 1G generation
  • 2G 2.5G
  • 2.75G 3G
  • 4G 4G
  • 4.5G and future 5G
  • NR New Radio
  • the term "network device” refers to, for example, a device in a communication system that connects a terminal device to a communication network and provides services for the terminal device.
  • the network device may include, but is not limited to, the following devices: base station (BS), access point (AP), transmission reception point (TRP), broadcast transmitter, mobile management entity (MME), gateway, server, radio network controller (RNC), base station controller (BSC), etc.
  • Base stations may include but are not limited to: NodeB (NodeB or NB), evolved NodeB (eNodeB or eNB) and 5G base station (gNB), IAB host, etc., and may also include remote radio heads (RRH, Remote Radio Head), remote radio units (RRU, Remote Radio Unit), relays or low-power nodes (such as femto, pico, etc.).
  • RRH Remote Radio Head
  • RRU Remote Radio Unit
  • relays or low-power nodes such as femto, pico, etc.
  • base station may include some or all of their functions, and each base station may provide communication coverage for a specific geographical area.
  • the term "cell” may refer to a base station and/or its coverage area, depending on the context in which the term is used.
  • the term "user equipment” refers to, for example, a device that accesses a communication network through a network device and receives network services, and may also be referred to as "terminal equipment” (TE).
  • the terminal equipment may be fixed or mobile, and may also be referred to as a mobile station (MS), a terminal, a user, a subscriber station (SS), an access terminal (AT), a station, and the like.
  • Terminal devices may include but are not limited to the following devices: cellular phones, personal digital assistants (PDA, Personal Digital Assistant), wireless modems, wireless communication devices, handheld devices, machine-type communication devices, laptop computers, cordless phones, smart phones, smart watches, digital cameras, etc.
  • PDA personal digital assistants
  • wireless modems wireless communication devices
  • handheld devices machine-type communication devices
  • laptop computers cordless phones
  • smart phones smart watches, digital cameras, etc.
  • the terminal device can also be a machine or device for monitoring or measuring, such as, but not limited to: machine type communication (MTC) terminal, vehicle-mounted communication terminal, device to device (D2D) terminal, machine to machine (M2M) terminal, and the like.
  • MTC machine type communication
  • D2D device to device
  • M2M machine to machine
  • FIG1 is a schematic diagram of a communication system according to an embodiment of the present application, schematically illustrating a situation in which a terminal device and a network device are used as an example.
  • a communication system 100 may include a network device 101, a terminal device 102, and a positioning server 103.
  • FIG1 only illustrates one terminal device and one network device as an example, but the embodiment of the present application is not limited thereto.
  • existing services or future services can be sent between the network device 101 and the terminal device 102.
  • these services may include but are not limited to: enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low-latency communication (URLLC), etc.
  • eMBB enhanced mobile broadband
  • mMTC massive machine type communication
  • URLLC ultra-reliable and low-latency communication
  • FIG1 shows that the terminal device 102 is within the coverage of the network device 101, but the present application is not limited to this.
  • the terminal device 102 may not be within the coverage of the network device 101.
  • FIG1 takes the deployment of the positioning server 103 alone as an example for illustration, and the AI/ML model can be run in the positioning server 103 to obtain the positioning result; however, the present application is not limited to this, and the positioning server 103 can be deployed in the core network, or in the network device 102 (such as a base station), or in the terminal device 103; the embodiments of the present application do not limit these situations.
  • the terminal device to be located may be referred to as a target device, and the function of the positioning server may be referred to as a location management function (LMF).
  • LMF may be a network entity for terminal positioning and management, and a location server (location server) with a location management function may be referred to as LMF.
  • LMF location management function
  • LMF location server
  • LMF location server
  • the device for sending wireless positioning information may be a terminal device (such as UE), or a network device (such as a gNB or an entity of a core network (such as LMF or AMF)), or may be a partial function or entity of any of the above devices.
  • the device for receiving wireless positioning information may be a network device (such as a gNB or an entity of a core network (such as LMF or AMF)), or may be a terminal device (such as UE), or may be a partial function or entity of any of the above devices.
  • FIG1 illustrates wireless positioning as an example, but the present application is not limited to this, and the transmission scheme of wireless positioning information of the present application may be applied to any other relevant scenarios.
  • the embodiment of the present application provides a method for sending wireless positioning information, which is described from the perspective of an information sending device.
  • the information sending device may be a terminal device (such as a target device, a PRU or other terminal) or a network device (such as a base station or a location server with LMF function).
  • FIG. 2 is a schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application. As shown in FIG. 2 , the method includes:
  • a terminal device obtains tag data used for wireless positioning and quality-related information corresponding to the tag data;
  • the terminal device sends the label data and/or quality-related information corresponding to the label data to a network device.
  • FIG2 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • the execution order between the various operations can be appropriately adjusted, and other operations can be added or some operations can be reduced.
  • Those skilled in the art can make appropriate modifications based on the above content, and are not limited to the description of the above FIG2.
  • the tag data is used for running and optimizing a wireless positioning model
  • the quality-related information is used to assist the tag data in optimizing the wireless positioning model
  • the accompanying report generally only includes: data error source information, data acquisition time information (such as absolute timestamp information and/or SFN frame information), etc., but this information is not enough to effectively supervise, retrain, and fine-tune the AI/ML model.
  • auxiliary information such as mathematical statistical information, accuracy estimation information, beam information, etc. of the current label data.
  • quality-related information can be transmitted to the model deployment entity together with the label data through the air interface.
  • auxiliary information can help the model deployment entity make more accurate judgments during training, reasoning or supervision, such as whether it is necessary to discard inaccurate label data samples, or to select an appropriate model after classifying these samples for switching and retraining.
  • devices deployed with AI/ML models can make decisions on current model optimization based on quality-related information of label data even when entering unfamiliar environments, thereby improving the generalization of the model and enhancing the accuracy of wireless positioning of the AI/ML model.
  • the terminal device can obtain accurate tag data based on the current positioning technology, for example, by using PRU (Positioning Reference Unit) and other positioning technologies such as GNSS, WIFI, etc. These accurate positioning resources cannot be guaranteed to be available in all environments and at all times.
  • the terminal device can obtain these tag data when it can be obtained and then report it to the network device.
  • the terminal device can perform operations such as statistics, calculation, and screening to obtain quality-related information of the tag data. That is, the terminal device can expand and enhance the content of the data auxiliary information so that the auxiliary information includes quality-related information, and transmit it to the model deployment device (such as the base station or LMF) through the air interface by the data collection device (such as UE or PRU), in order to help the base station or LMF perform various model-related optimizations or actions to improve the accuracy of wireless positioning.
  • the model deployment device such as the base station or LMF
  • the data collection device such as UE or PRU
  • the terminal device can obtain the tag data when the conditions are met, and obtain the corresponding quality-related information through statistics, calculations, etc.
  • the terminal device can periodically report the obtained tag data and/or the corresponding quality-related information, or can non-periodically report the obtained tag data and/or the corresponding quality-related information.
  • the tag data includes at least one of the following: location information, time information, angle information, line-of-sight LOS/non-line-of-sight NLOS indication information.
  • location information e.g., location information, time information, angle information, line-of-sight LOS/non-line-of-sight NLOS indication information.
  • tag data may also be other data required by the AI/ML model of wireless positioning.
  • the quality-related information includes at least one of the following: error information, error level or range information, confidence information, signal-to-interference-plus-noise ratio (SINR) information, and reference signal received power (RSRP) information.
  • error information error level or range information
  • confidence information signal-to-interference-plus-noise ratio
  • RSRP reference signal received power
  • the present application is not limited thereto, and the quality-related information may also be other information, such as data source information, wireless environment information, and state or statistical information, evaluation index information.
  • the tag data and the quality related information are obtained and reported correspondingly.
  • one or more quality related information may be included.
  • the terminal device can obtain any one or more of the following information corresponding to the location information: error information, error level or range information, confidence information, SINR information, and RSRP information.
  • the tag data includes time information
  • the terminal device can obtain any one or more of the following information corresponding to the time information: error information, error level or range information, confidence information, SINR information, and RSRP information.
  • the tag data includes angle information
  • the terminal device can obtain any one or more of the following information corresponding to the angle information: error information, error level or range information, confidence information, SINR information, and RSRP information.
  • each UE in the wireless environment can use various wireless
  • the positioning method obtains its own location information and uses the location information as tag data.
  • the PRU can directly obtain its own location information and use the location information as tag data.
  • the UE or PRU can calculate the quality-related information of the tag data. For specific calculation methods, please refer to the following embodiments.
  • the tag data is location information and the quality-related information is error information
  • this can be achieved by adding a field to Common IEsProvideLocationInformation, as shown in Table 1.
  • a feedback field for the error information of the tag data can be added.
  • a new AI/ML-specific location information IE (such as NR-DL-AI/ML-ProvideLocation Information) may be defined, and the information to be fed back may be placed as a field inside the AI/ML-specific location information IE, as shown in Table 2.
  • a feedback field for error information of label data may be added to the AI/ML-specific location information IE.
  • the error information can be: the difference between the currently collected data and the accurate data; the accurate data can be obtained through non-3GPP wireless positioning methods such as GNSS, WIFI or LIDAR, or using the PRU in the current wireless environment, or through traditional positioning methods or AI/ML methods when the channel conditions are good.
  • the specific method is determined by the implementation algorithm of the data collection entity.
  • the precise UE location data coordinates are (x, y), and the currently acquired UE location data coordinates are (x1, y1), then the UE can report the following error information:
  • the type can be absolute value or relative value
  • the error information can be calculated separately in the three dimensions, or the error information in one or two dimensions can be selected for calculation.
  • Table 3 shows an example of a feedback field for error information as tag data.
  • the corresponding error or difference information can also be given.
  • the error information can be defined as (X-X1)%.
  • the error information may not be accurately calculated by the device, and only a roughly estimated error value, namely, the error range or error level, may be obtained.
  • the UE can feedback the approximate error range of the data to the LMF through signaling (such as LPP).
  • the error range can be represented as a digital range represented by length units such as meters (m) and centimeters (cm), such as an error range of 0.5m, 10cm, etc., which can be quantified into some common options, such as 1 meter interval.
  • the data is time information (such as TDOA, RSTD, etc.)
  • the time unit can be used as the interval; when the data is angle information, it can be processed similarly.
  • Table 4 shows an example of a feedback domain as an error range of label data.
  • the UE may feed back the error level to the LMF through signaling (such as LPP).
  • the error values of different levels are quantified and represented by numbers (such as level 1, level 2%) or characters with representative meanings (such as good, medium, bad, etc.).
  • the error range corresponding to the error level or the impact on the subsequent process may be determined by the specific implementation technology.
  • Table 5 shows an example of a feedback field as an error level of label data.
  • the quality-related information is confidence information
  • the confidence information can feedback the probability distribution of the current data quality, such as estimating the current data quality information by calculating the probability through statistics of multiple historical data quality information.
  • the probability distribution of the current data quality such as estimating the current data quality information by calculating the probability through statistics of multiple historical data quality information.
  • the UE or PRU can feedback the data SINR information to the LMF through signaling (such as LPP).
  • the specific calculation method of SINR can be implemented by the UE through channel measurement and its own algorithm.
  • Table 6 shows another example of a feedback field as an error level of tag data, showing the case of SINR.
  • the UE or PRU can feed back the RSRP information to the LMF via signaling (such as LPP).
  • the UE or PRU can perform channel measurement on the reference signal used to obtain the tag data to obtain the corresponding RSRP information.
  • Table 7 shows another example of a feedback field as an error level of tag data, showing the case of RSRP.
  • the tag data includes location information
  • the quality-related information corresponding to the tag data includes: source information of the tag data, and/or wireless environment information where the terminal device is located when acquiring the tag data.
  • the terminal device can also obtain data source information, wireless environment information, etc.
  • the UE can obtain its own location information through various wireless positioning methods, and use the location information as tag data.
  • the source information of the tag data (such as the identifier of the positioning method used, etc.) can be used as quality-related information.
  • the UE can obtain its own location information through WIFI, and use the location information as tag data.
  • the WiFi scene, area, beam and other environment-related information can be used as quality-related information.
  • the UE may collect and report the data source information.
  • Table 8 takes location information as an example to exemplify an example of data source information.
  • data source information such as PRU type, traditional positioning method, AI/ML method, etc. can be added.
  • some geographical area, scene, beam and other related information may be generated, which can be classified and identified using identification information. Differentiation (for example, scene ID, beam ID, area ID, NLOS level ID, etc.); these auxiliary information can be sent by the UE to the LMF via LPP signaling together with the data as part of the quality-related information for determining whether the current data is available and how to use it.
  • Table 9 illustrates an example of the auxiliary information.
  • the above information can be carried through the "ProvideLocationInformation” of the LPP signaling, or through the “ProvideAssistanceData” of the LPP signaling, or through other LPP signaling or non-LPP signaling; the present application is not limited to this.
  • the tag data includes LOS/NLOS indication information
  • the quality-related information corresponding to the tag data includes: configuration information for calculating the LOS/NLOS state or statistical information (such as probability) of the wireless channel between the network device and the terminal device, and/or evaluation index information.
  • the evaluation index information includes calculation accuracy information, processing speed information and/or calculation complexity information.
  • the terminal device may also obtain status information or statistical information, evaluation index information, etc.
  • the UE may calculate LOS/NLOS indication information, such as LOS/NLOS probability information; using the LOS/NLOS probability as label data, the information related to the implementation algorithm for calculating the LOS/NLOS probability is used as quality-related information.
  • LOS/NLOS probability can also be used as label data for a certain type of AI/ML model, and the acquisition of this type of data depends largely on the algorithm used for entity calculation.
  • the UE can pass information about the algorithm used in LOS/NLOS calculation to the LMF through LPP signaling, and different algorithms can correspond to different data accuracy.
  • the network device and the terminal device agree on a list of supported LOS/NLOS probability calculation methods and define corresponding INDEX. Different algorithms or different implementation methods correspond to different INDEX and data quality/applicability.
  • the terminal device can choose to report the above INDEX together.
  • the network device may define some specific evaluation indicators related to the algorithm, such as algorithm module processing speed, computational complexity, etc.
  • the terminal device may choose to transmit the above evaluation indicator information to the network device, and the network device may comprehensively determine the corresponding relationship between the current algorithm and data quality/applicability.
  • the terminal device may obtain corresponding quality related information for each tag data, but is not limited thereto. In some embodiments, the terminal device obtains and sends quality related information corresponding to multiple tag data for multiple tag data.
  • the terminal device collects statistics on all or part of the label data within a period of time to obtain quality-related information corresponding to the whole (all or part of the label data).
  • These label data can be data obtained continuously during this period of time, or some screened discrete data, etc., and the present application is not limited thereto.
  • the quality-related information corresponding to the multiple label data includes at least one of the following: error range information of the multiple label data, the maximum error of the multiple label data, the minimum error of the multiple label data, the average error of the multiple label data, the median error of the multiple label data, and the error confidence of the multiple label data.
  • the reported content may be at least one of the following:
  • Overall error confidence information which reflects the error statistics of the sample as a whole; for example, an error threshold can be set, and the percentage of samples smaller than the error threshold in the total number of samples can be counted to reflect the overall error confidence information. Confidence information of volume data.
  • Table 10 shows an example of a feedback field of a batch error level as label data.
  • the terminal device receives indication information from the network device; and the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the indication information.
  • the terminal device when the terminal device receives the indication information from the network device, it can report the tag data and/or quality-related information as needed, thereby improving the accuracy of wireless positioning while reducing the amount of reported data and further reducing the air interface transmission overhead.
  • FIG. 3 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application. As shown in FIG. 3 , the method The law includes:
  • the terminal device obtains tag data for wireless positioning
  • the terminal device obtains (calculates, counts, filters, etc.) quality-related information corresponding to the tag data;
  • the terminal device receives instruction information from the network device
  • the terminal device sends the label data and/or quality-related information corresponding to the label data to a network device according to the indication information.
  • FIG. 3 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • the execution order between the various operations can be appropriately adjusted, and other operations can be added or some operations can be reduced.
  • Those skilled in the art can make appropriate modifications based on the above content, and are not limited to the description of the above FIG. 3.
  • the terminal device may send the label data and the quality-related information together according to the indication information; alternatively, the terminal device may first send the label data and then send the quality-related information according to the indication information; alternatively, the terminal device may first send the quality-related information and then send the label data according to the indication information; alternatively, the terminal device may send the label data according to the indication information (for example, the corresponding quality-related information is not sent in this transmission); alternatively, the terminal device may send the quality-related information according to the indication information (for example, the corresponding label data is not sent in this transmission).
  • the indication information indicates the content, range or format of the quality-related information; the present application is not limited thereto.
  • the indication information includes threshold information and/or counting information and/or time information for selecting the label data and/or the quality-related information. After receiving the indication information, the terminal device can prepare the label data and/or the quality-related information according to the requirements of the indication information and report it to the network device.
  • the method may further include:
  • the terminal device sends feedback information to the network device.
  • the feedback information includes at least one of the following: transmission completion confirmation information, transmission incomplete confirmation information, transmission incomplete reason information, and retransmission request information; the present application is not limited thereto.
  • the network device may also screen the data quality when the indication data is reported, such as specifying some quality thresholds or timers. It may include various quality-related information given in the above embodiments, such as: data maximum error threshold, maximum error level threshold, batch data maximum error rate threshold, etc.
  • the network device may also specify the data source, scene ID, area ID, NLOS level ID, beam ID and other information corresponding to the data to be obtained.
  • the network device may directly specify specific threshold values for information related to data quality, for example, specifying that the maximum error value of 2D position coordinates shall not exceed 1 meter, the maximum error level shall not exceed the third level, etc.
  • specific definition depends on the specific implementation method.
  • the network device can also control the amount of data samples that meet the quality information by setting a counter. For example, if the minimum sample amount is set to 1000, the terminal device can report after collecting at least 1000 samples that meet the required data quality.
  • the network device can also control the time period for collecting information by setting a timer. For example, if the timer is set to 5 ms, data collected outside 5 ms will not be reported.
  • the above threshold information, timer, and counter may be used in combination or individually.
  • the network device may also define subsequent actions for the terminal device when data requirements cannot be met, for example, requiring the terminal device to discard data that does not meet quality requirements, re-collect data, or further screen the data given additional information.
  • the terminal device after receiving the instruction information given by the network device, can provide information feedback to the network device.
  • the feedback content may include: confirmation information of completion/incomplete transmission of data and auxiliary information, additional reason information for incomplete transmission, etc.
  • the network device can carry the above information through existing LPP signaling, newly defined LPP signaling or other signaling.
  • the following IE gives an example of using the "CommonIEsRequestLocationInformation" IE in the existing LPP signaling to carry information.
  • FIG. 4 is an example of transmitting tag data and/or quality related information between a UE and an LMF according to an embodiment of the present application.
  • the LMF sends indication information to the UE ( 401 ), instructing the UE to send label data and/or quality related information; the UE reports the label data and/or quality related information according to the indication information ( 402 ).
  • the LMF indicates the tag data and/or quality related information to the UE via an IE of LPP signaling, such as "RequestLocationInformation”.
  • the UE sends the tag data and/or quality related information to the LMF via an IE of LPP signaling, such as "ProvideLocationInformation”.
  • FIG 5 is another example diagram of transmitting tag data and/or quality related information between a UE and an LMF according to an embodiment of the present application.
  • the LMF initiates a UE capability inquiry (inquiry) (501) to the UE, and the UE reports the tag data and/or quality related information (502) through a UE capability response (response).
  • tag data when the tag data is location information, it can also be interacted and reported through other LPP signaling (such as AssistanceData); or it can also be interacted and reported through other air interface signaling, such as RRC or NRPPa.
  • LPP signaling such as AssistanceData
  • RRC Radio Resource Control
  • the information sending device as a terminal device and the information receiving device as a network device as an example, but the present application is not limited to this.
  • the following description will be made on the information sending device as a network device and the information receiving device as a terminal device, and the same contents as above will be omitted.
  • FIG. 6 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application. As shown in FIG. 6 , the method includes:
  • the network device obtains tag data used for wireless positioning and quality-related information corresponding to the tag data;
  • the network device sends the label data and/or quality-related information corresponding to the label data to a terminal device.
  • FIG. 6 above only schematically illustrates the embodiment of the present application, but the present application is not limited thereto.
  • the execution order of each operation can be appropriately adjusted, and other operations or Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of FIG. 6 above.
  • the tag data is used for running and optimizing a wireless positioning model
  • the quality-related information is used to assist the tag data in optimizing the wireless positioning model
  • the tag data includes at least one of the following: location information, time information, angle information, and line-of-sight LOS/non-line-of-sight NLOS indication information.
  • the quality-related information includes at least one of the following: error information, error level or range information, confidence information, signal-to-interference-plus-noise ratio (SINR) information, and reference signal received power (RSRP) information.
  • SINR signal-to-interference-plus-noise ratio
  • RSRP reference signal received power
  • the tag data includes location information
  • the quality-related information corresponding to the tag data includes: source information of the tag data and/or wireless environment information where the terminal device is located when the tag data is acquired.
  • the tag data includes LOS/NLOS indication information
  • the quality-related information corresponding to the tag data includes: configuration information and/or evaluation index information for calculating the LOS/NLOS status or statistical information (such as probability) of the wireless channel between the network device and the terminal device.
  • the evaluation index information includes calculation accuracy information, processing speed information and/or calculation complexity information.
  • the network device obtains and sends quality-related information corresponding to a plurality of tag data within a period of time.
  • the network device collects statistics on all or part of the tag data within the period of time to obtain corresponding quality-related information.
  • the quality-related information corresponding to the multiple label data includes at least one of the following: error range information of the multiple label data, the maximum error of the multiple label data, the minimum error of the multiple label data, the average error of the multiple label data, the median error of the multiple label data, and the error confidence of the multiple label data.
  • the network device receives request information from the terminal device; and the network device sends the label data and/or quality-related information corresponding to the label data to the terminal device according to the request information.
  • FIG. 7 is another schematic diagram of a method for sending wireless positioning information according to an embodiment of the present application. As shown in FIG. 7 , the method includes:
  • the network device obtains tag data for wireless positioning
  • FIG. 7 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • the execution order between the various operations can be appropriately adjusted, and other operations can be added or some operations can be reduced.
  • Those skilled in the art can make appropriate modifications based on the above content, and are not limited to the description of the above FIG. 7.
  • the method may further include:
  • the network device sends feedback information to the terminal device.
  • the network device sends the label data and the quality-related information together according to the request information; or, the network device first sends the label data and then sends the quality-related information according to the request information; or, the network device first sends the quality-related information and then sends the label data according to the request information; or, the network device sends the label data according to the request information; or, the network device sends the quality-related information according to the request information.
  • the request information indicates the content, scope or format of the quality-related information.
  • the request information includes threshold information and/or counting information and/or time information for selecting the tag data and/or the quality-related information.
  • the network device sends feedback information to the terminal device.
  • the feedback information includes at least one of the following: transmission completion confirmation information, transmission incomplete confirmation information, transmission incomplete reason information, and retransmission request information.
  • the device deployed with the AI/ML model can make decisions on the optimization of the current model based on the quality-related information of the label data even when entering an unfamiliar environment, thereby improving the generalization of the model and enhancing the accuracy of wireless positioning of the AI/ML model.
  • the embodiment of the present application provides a method for receiving wireless positioning information, which is described from the perspective of an information receiving device.
  • the embodiment of the second aspect corresponds to the embodiment of the first aspect, and the same contents are not repeated here.
  • FIG8 is a schematic diagram of an information receiving method according to an embodiment of the present application. As shown in FIG8 , the method includes:
  • the method further includes:
  • the network device sends indication information to the terminal device; and the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the indication information.
  • the method further includes:
  • the network device receives feedback information from the terminal device.
  • FIG8 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • the execution order between the various operations can be appropriately adjusted, and other operations can be added or some operations can be reduced.
  • Those skilled in the art can make appropriate modifications based on the above content, and are not limited to the description of the above FIG8.
  • the information sending device as a terminal device and the information receiving device as a network device as an example, but the present application is not limited to this.
  • the following description will be made on the information sending device as a network device and the information receiving device as a terminal device, and the same contents as above will be omitted.
  • FIG. 9 is another schematic diagram of the information receiving method according to an embodiment of the present application. As shown in FIG. 9 , the method includes:
  • a terminal device receives tag data for wireless positioning and quality-related information corresponding to the tag data from a network device.
  • the method further includes:
  • the terminal device sends a request message to the network device; and the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the request message.
  • the method further includes:
  • the terminal device receives feedback information from the network device.
  • the device deploying the AI/ML model can detect the location of the wireless device based on the label data even if it enters an unfamiliar environment.
  • the quality-related information of the signature data is used to make decisions on the current model optimization, thereby improving the generalization of the model and enhancing the accuracy of wireless positioning of the AI/ML model.
  • the embodiment of the present application provides a wireless positioning information sending device (information sending device). Since the function of the information sending device to solve the problem is the same as the method of the embodiment of the first aspect, its specific implementation can refer to the embodiment of the first aspect, and the same content will not be repeated.
  • FIG10 is a schematic diagram of an information sending device according to an embodiment of the present application, and the information sending device can be configured in a terminal device or a network device. As shown in FIG10 , the information sending device 1000 includes:
  • An acquiring unit 1001 is configured to acquire tag data used for wireless positioning and quality related information corresponding to the tag data;
  • the sending unit 1002 sends the tag data and/or quality related information corresponding to the tag data.
  • FIG. 10 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • other modules or components may be appropriately added or some modules or components may be reduced.
  • Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of the above FIG. 10.
  • the tag data is used for running and optimizing a wireless positioning model
  • the quality-related information is used to assist the tag data in optimizing the wireless positioning model
  • the tag data includes at least one of the following: location information, time information, angle information, and line-of-sight LOS/non-line-of-sight NLOS indication information.
  • the quality-related information includes at least one of the following: error information, error level or range information, confidence information, signal-to-interference-plus-noise ratio (SINR) information, and reference signal received power (RSRP) information.
  • SINR signal-to-interference-plus-noise ratio
  • RSRP reference signal received power
  • the tag data includes location information
  • the quality-related information corresponding to the tag data includes: source information of the tag data and/or wireless environment information when the tag data is obtained.
  • the tag data includes LOS/NLOS indication information
  • the quality-related information corresponding to the tag data includes: configuration information and/or evaluation index information for calculating the LOS/NLOS status or statistical information of the wireless channel between the network device and the terminal device.
  • the evaluation index information includes calculation accuracy information, processing speed information and/or calculation complexity information.
  • quality-related information corresponding to the plurality of tag data is acquired and sent.
  • statistics are collected on all or part of the tag data within the period of time to obtain corresponding quality-related information.
  • the quality-related information corresponding to the multiple label data includes at least one of the following: error range information of the multiple label data, the maximum error of the multiple label data, the minimum error of the multiple label data, the average error of the multiple label data, the median error of the multiple label data, and the error confidence of the multiple label data.
  • the apparatus may further include:
  • the sending unit 1002 sends the tag data and/or quality related information corresponding to the tag data according to the request information or the instruction information.
  • the sending unit 1002 sends the label data and the quality-related information together according to the request information or the indication information; or, first sends the label data and then sends the quality-related information according to the request information or the indication information; or, first sends the quality-related information and then sends the label data according to the request information or the indication information; or, sends the label data according to the request information or the indication information; or, sends the quality-related information according to the request information.
  • the request information or the indication information indicates the content, scope or format of the quality-related information.
  • the request information or indication information includes threshold information and/or counting information and/or time information for selecting the tag data and/or the quality-related information.
  • the sending unit 1002 also sends feedback information.
  • the feedback information includes at least one of the following: transmission completion confirmation information, transmission incomplete confirmation information, transmission incomplete reason information, and retransmission request information.
  • FIG. 10 only exemplifies the connection relationship or signal direction between various components or modules, but it should be clear to those skilled in the art that various related technologies such as bus connection can be used.
  • the above-mentioned various components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.
  • the device deployed with the AI/ML model by transmitting tag data for wireless positioning between the network device and the terminal setting As well as the corresponding quality-related information, even if the device deployed with the AI/ML model enters an unfamiliar environment, it can make decisions on the current model optimization based on the quality-related information of the label data, thereby improving the generalization of the model and enhancing the accuracy of the AI/ML model's wireless positioning.
  • the embodiment of the present application provides a wireless positioning information receiving device (information receiving device). Since the function of the information receiving device to solve the problem is the same as the method of the embodiment of the second aspect, its specific implementation can refer to the embodiments of the first and second aspects, and the same contents will not be repeated.
  • FIG11 is a schematic diagram of an information receiving device according to an embodiment of the present application, and the information receiving device can be configured in a terminal device or a network device. As shown in FIG11 , the information receiving device 1100 includes:
  • the receiving unit 1101 receives tag data used for wireless positioning and quality-related information corresponding to the tag data.
  • FIG. 11 is only a schematic illustration of the embodiment of the present application, but the present application is not limited thereto.
  • other modules or components may be appropriately added or some modules or components may be reduced.
  • Those skilled in the art may make appropriate modifications based on the above content, and are not limited to the description of the above FIG. 11.
  • the information receiving device 1100 further includes:
  • the sending unit 1102 sends request information or instruction information.
  • the receiving unit 1101 further receives feedback information.
  • FIG. 11 only exemplifies the connection relationship or signal direction between various components or modules, but it should be clear to those skilled in the art that various related technologies such as bus connection can be used.
  • the above-mentioned various components or modules can be implemented by hardware facilities such as processors, memories, transmitters, and receivers; the implementation of this application is not limited to this.
  • the device deployed with the AI/ML model can make decisions on the optimization of the current model based on the quality-related information of the label data even when entering an unfamiliar environment, thereby improving the generalization of the model and enhancing the accuracy of wireless positioning of the AI/ML model.
  • FIG1 is a schematic diagram of the communication system of the embodiment of the present application.
  • the communication system 100 includes a network device 101, a terminal device 102, and a positioning server 103.
  • FIG1 only illustrates one network device and one terminal device as an example, but the embodiment of the present application is not limited to this.
  • the communication system includes:
  • a terminal device which obtains tag data for wireless positioning and quality-related information corresponding to the tag data; and sends the tag data and/or quality-related information corresponding to the tag data to a network device;
  • a network device receives the label data and quality related information corresponding to the label data.
  • the communication system includes:
  • a network device which obtains tag data for wireless positioning and quality-related information corresponding to the tag data; and sends the tag data and/or quality-related information corresponding to the tag data to a terminal device;
  • a terminal device receives the tag data and quality-related information corresponding to the tag data.
  • An embodiment of the present application further provides an electronic device, which includes, for example, the aforementioned information sending device or information receiving device.
  • FIG12 is a schematic diagram of the composition of an electronic device according to an embodiment of the present application.
  • the electronic device 1200 may include: a processor 1210 (e.g., a central processing unit CPU) and a memory 1220; the memory 1220 is coupled to the processor 1210.
  • the memory 1220 may store various data; in addition, it may store a program 1230 for information processing, and the program 1230 may be executed under the control of the processor 1210.
  • the processor 1210 may be configured to execute a program to implement the method for sending wireless positioning information as described in the embodiment of the first aspect.
  • the processor 1210 may be configured to perform the following control: obtaining tag data for wireless positioning and quality-related information corresponding to the tag data; and sending the tag data and/or quality-related information corresponding to the tag data.
  • the processor 1210 may be configured to execute a program to implement the method for receiving wireless positioning information as described in the embodiment of the second aspect.
  • the processor 1210 may be configured to perform the following control: receiving tag data for wireless positioning and quality related information corresponding to the tag data.
  • the electronic device 1200 may further include: a transceiver 1240 and an antenna 1250, etc.; wherein the functions of the above components are similar to those of the prior art and are not described in detail here. It is worth noting that the electronic device 1200 does not necessarily include all the components shown in FIG12 ; in addition, the electronic device 1200 may also include components not shown in FIG12 , which may refer to the prior art.
  • An embodiment of the present application also provides a computer-readable program, wherein when the program is executed in an information sending device, the program enables a computer to execute the method for sending wireless positioning information described in the embodiment of the first aspect in the information sending device.
  • An embodiment of the present application also provides a storage medium storing a computer-readable program, wherein the computer-readable program enables a computer to execute the method for sending wireless positioning information described in the embodiment of the first aspect in an information sending device.
  • An embodiment of the present application also provides a computer-readable program, wherein when the program is executed in an information receiving device, the program enables a computer to execute the method for receiving wireless positioning information described in the embodiment of the second aspect in the information receiving device.
  • An embodiment of the present application also provides a storage medium storing a computer-readable program, wherein the computer-readable program enables a computer to execute the method for receiving wireless positioning information described in the embodiment of the second aspect in an information receiving device.
  • the above devices and methods of the present application can be implemented by hardware, or by hardware combined with software.
  • the present application relates to such a computer-readable program, which, when executed by a logic component, enables the logic component to implement the above-mentioned devices or components, or enables the logic component to implement the various methods or steps described above.
  • the logic component is, for example, a field programmable logic component, a microprocessor, a processor used in a computer, etc.
  • the present application also relates to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.
  • the method/device described in conjunction with the embodiments of the present application may be directly embodied as hardware, a software module executed by a processor, or a combination of the two.
  • one or more of the functional block diagrams shown in the figure and/or one or more combinations of the functional block diagrams may correspond to various software modules of the computer program flow or to various hardware modules.
  • These software modules may correspond to the various steps shown in the figure, respectively.
  • These hardware modules may be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).
  • FPGA field programmable gate array
  • the software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
  • a storage medium may be coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium; or the storage medium may be an integral part of the processor.
  • the processor and the storage medium may be located in an ASIC.
  • the software module may be stored in a memory of a mobile terminal or in a memory card that can be inserted into the mobile terminal.
  • the software module may be stored in the MEGA-SIM card or the large-capacity flash memory device.
  • the functional blocks described in the drawings and/or one or more combinations of functional blocks it can be implemented as a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component or any appropriate combination thereof for performing the functions described in the present application.
  • DSP digital signal processor
  • ASIC application-specific integrated circuit
  • FPGA field programmable gate array
  • it can also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in communication with a DSP, or any other such configuration.
  • a method for sending wireless positioning information comprising:
  • the terminal device obtains tag data used for wireless positioning and quality-related information corresponding to the tag data;
  • the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device.
  • tag data includes at least one of the following: location information, time information, angle information, and line-of-sight LOS/non-line-of-sight NLOS indication information.
  • the quality-related information includes at least one of the following: error information, error level or range information, confidence information, signal-to-interference-and-noise ratio (SINR) information, and reference signal received power (RSRP) information.
  • SINR signal-to-interference-and-noise ratio
  • RSRP reference signal received power
  • the tag data includes location information
  • the quality-related information corresponding to the tag data includes: source information of the tag data and/or wireless environment information where the terminal device is located when acquiring the tag data.
  • the tag data includes LOS/NLOS indication information
  • the quality-related information corresponding to the tag data includes: configuration information and/or evaluation index information for calculating the LOS/NLOS status or statistical information (such as probability) of the wireless channel between the network device and the terminal device.
  • evaluation index information includes calculation accuracy information, processing speed information and/or calculation complexity information.
  • the quality-related information corresponding to the multiple label data includes at least one of the following: error range information of the multiple label data, the maximum error of the multiple label data, the minimum error of the multiple label data, the average error of the multiple label data, the median error of the multiple label data, and the error confidence of the multiple label data.
  • the terminal device receives instruction information from the network device
  • the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the indication information.
  • the terminal device sends the label data first and then sends the quality related information according to the indication information;
  • the terminal device first sends the quality related information according to the indication information, and then sends the label data;
  • the terminal device sends the label data according to the indication information
  • the terminal device sends the quality-related information according to the indication information.
  • the indication information includes threshold information and/or counting information and/or time information for selecting the tag data and/or the quality-related information.
  • the terminal device sends feedback information to the network device.
  • the feedback information includes at least one of the following: transmission completion confirmation information, transmission incomplete confirmation information, transmission incomplete reason information, and retransmission request information.
  • a method for receiving wireless positioning information comprising:
  • the network device receives the tag data for wireless positioning from the terminal device and the corresponding Quality related information.
  • the network device sends indication information to the terminal device; and the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the indication information.
  • the network device receives feedback information from the terminal device.
  • a method for sending wireless positioning information comprising:
  • the network device obtains tag data used for wireless positioning and quality-related information corresponding to the tag data
  • the network device sends the label data and/or quality-related information corresponding to the label data to the terminal device.
  • tag data includes at least one of the following: location information, time information, angle information, and line-of-sight LOS/non-line-of-sight NLOS indication information.
  • the quality-related information includes at least one of the following: error information, error level or range information, confidence information, signal-to-interference-and-noise ratio (SINR) information, and reference signal received power (RSRP) information.
  • SINR signal-to-interference-and-noise ratio
  • RSRP reference signal received power
  • the tag data includes location information
  • the quality-related information corresponding to the tag data includes: source information of the tag data and/or wireless environment information where the terminal device is located when acquiring the tag data.
  • the tag data includes LOS/NLOS indication information
  • the quality-related information corresponding to the tag data includes: configuration information and/or evaluation index information for calculating the LOS/NLOS status or statistical information (such as probability) of the wireless channel between the network device and the terminal device.
  • evaluation index information includes calculation accuracy information, processing speed information and/or calculation complexity information.
  • the quality-related information corresponding to the plurality of tag data includes At least one of the following: error range information of the multiple label data, the maximum error of the multiple label data, the minimum error of the multiple label data, the average error of the multiple label data, the median error of the multiple label data, and the error confidence of the multiple label data.
  • the network device receives request information from the terminal device
  • the network device sends the label data and/or quality-related information corresponding to the label data to the terminal device according to the request information.
  • the network device sends the label data first according to the request information, and then sends the quality related information
  • the network device first sends the quality related information according to the request information, and then sends the label data;
  • the network device sends the label data according to the request information
  • the network device sends the quality-related information according to the request information.
  • the request information includes threshold information and/or counting information and/or time information for selecting the tag data and/or the quality-related information.
  • the network device sends feedback information to the terminal device.
  • the feedback information includes at least one of the following: transmission completion confirmation information, transmission incomplete confirmation information, transmission incomplete reason information, and retransmission request information.
  • a method for receiving wireless positioning information comprising:
  • the terminal device receives tag data for wireless positioning and quality-related information corresponding to the tag data from the network device.
  • the terminal device sends request information to the network device; and the terminal device sends the label data and/or quality-related information corresponding to the label data to the network device according to the request information.
  • the terminal device receives feedback information from the network device.
  • a terminal device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement a method for sending wireless positioning information as described in any one of Notes 1 to 16, or to implement a method for receiving wireless positioning information as described in any one of Notes 36 to 38.
  • a network device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to implement a method for sending wireless positioning information as described in any one of Notes 17 to 32, or to implement a method for receiving wireless positioning information as described in any one of Notes 33 to 35.
  • a communication system comprising:

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Abstract

本申请实施例提供了一种无线定位信息的发送和接收方法以及装置。该无线定位信息的发送方法包括：终端设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；所述终端设备向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。

Description

无线定位信息的发送和接收方法以及装置 技术领域
本申请涉及通信技术领域。
背景技术
随着第五代(5G)通信商用化，特别是工业互联网产业的大规模展开，无线通信中终端设备的无线定位需求大幅增加。传统的无线定位基于多种技术，例如TDOA(Time Difference Of Arrival)、E-CID(Enhanced Cell ID)和Multi-RTT(Multi-Round-Trip Time)等，这些传统的定位方法均存在若干固有缺陷，从而导致不同无线环境或场景下终端设备的定位精度较差，尤其是在非视线(NLOS，Non-Light of Sight)较为严重的无线环境，例如室内工厂(InF,Indoor Factory)等环境下，传统定位方法的误差值非常大，通常难以被接受。究其根本原因，传统定位方法很难对存在较强NLOS径下的无线环境进行准确的测量，其得到的测量值本身较理想值存在较大的偏差，从而导致了误差的产生。
近些年，以深度学习为代表的人工智能机器学习(AI/ML)技术发展迅速，并因其强大的非线性拟合能力被应用于多个研究和商用领域。同样，人工智能应用在无线定位的评估性能也较传统方法有着不小的提升。
例如，一种被广为研究的“直接型”人工智能定位模型采用水印技术，试图拟合多个网络设备(例如基站)与目标设备(UE)之间的信道冲击响应(CIR)和目标设备坐标位置之间的非线性关系，在许多不同的试验中被证实可获得高于传统定位方法数倍的定位精度。
然而随着研究的深入，AI/ML模型在无线定位中的应用部署出现了瓶颈，其中一个问题是，AI/ML模型是数据驱动型的学习算法，当基于特定输入数据训练得到的模型部署在陌生环境中时，由于输入数据的特性与训练数据相关性较差，AI/ML模型的推理性能往往不佳，而对于“基于水印技术的直接型”AI/ML无线定位技术来说，这个问题尤为突出，因该模型需要通常基于多个网络设备(例如基站)与终端设备(例如UE)之间的信道特性来推理终端设备的位置，一旦其中的某个网络设备与终端设备之间信道发生变化，则训练时学习到的这种输入输出关系将不再适用，继续使用这种错误的对应关系必然会造成模型性能不佳。
针对以上问题，业界正在探索多种解决途径，其中一种方法是当AI/ML模型进入 陌生环境时，收集当前环境的信道测量数据对模型进行重新训练或精调训练来改善模型的泛化性，和/或，若发现模型性能较差时，收集当前环境的信道测量数据对当前模型进行性能监督。
应该注意，上面对技术背景的介绍只是为了方便对本申请的技术方案进行清楚、完整的说明，并方便本领域技术人员的理解而阐述的。不能仅仅因为这些方案在本申请的背景技术部分进行了阐述而认为上述技术方案为本领域技术人员所公知。
发明内容
但是，发明人发现：AI/ML模型所需的训练数据和/或监督数据包含标签(LABEL，或者也可称为真值(GROUND TRUTH))数据，在无线定位应用中，标签数据对应当前无线环境下终端设备的精确地理位置(2D或3D)，或终端设备与网络设备之间的精确的信道测量结果，例如TDOA,RSTD,ToA,AoA，信道LOS/NLOS指示信息等，然而在信道环境较恶劣(例如存在强NLOS径)或终端设备或网络设备本身存在较大测量误差的时候，这些标签数据往往无法被部署AI/ML模型的设备获得。
针对上述问题的至少之一，本申请实施例提供了一种无线定位信息的发送和接收方法以及装置。通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
根据本申请实施例的一方面，提供一种无线定位信息的发送方法，包括：
终端设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
所述终端设备向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
根据本申请实施例的另一方面，提供一种无线定位信息的发送装置，配置于终端设备，所述装置包括：
获取单元，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
发送单元，其向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
根据本申请实施例的另一方面，提供一种无线定位信息的接收方法，包括：
网络设备接收来自终端设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
根据本申请实施例的另一方面，提供一种无线定位信息的接收装置，配置于网络设备，所述装置包括：
接收单元，其接收来自终端设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
根据本申请实施例的另一方面，提供一种通信系统，包括：
终端设备，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息；
网络设备，其接收所述标签数据以及所述标签数据对应的质量相关信息。
本申请实施例的有益效果之一在于：通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
参照后文的说明和附图，详细公开了本申请的特定实施方式，指明了本申请的原理可以被采用的方式。应该理解，本申请的实施方式在范围上并不因而受到限制。在所附权利要求的精神和条款的范围内，本申请的实施方式包括许多改变、修改和等同。
针对一种实施方式描述和/或示出的特征可以以相同或类似的方式在一个或更多个其它实施方式中使用，与其它实施方式中的特征相组合或替代其它实施方式中的特征。
应该强调，术语“包括/包含”在本文使用时指特征、整件、步骤或组件的存在，但并不排除一个或更多个其它特征、整件、步骤或组件的存在或附加。
附图说明
在本申请实施例的一个附图或一种实施方式中描述的元素和特征可以与一个或更多个其它附图或实施方式中示出的元素和特征相结合。此外，在附图中，类似的标号表示几个附图中对应的部件，并可用于指示多于一种实施方式中使用的对应部件。
所包括的附图用来提供对本申请实施例的进一步的理解，其构成了说明书的一部分，用于例示本申请的实施方式，并与文字描述一起来阐释本申请的原理。显而易见地，下面描述中的附图仅仅是本申请的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动的前提下，还可以根据这些附图获得其它的附图。在附图中：
图1是本申请实施例的应用场景的一示意图；
图2是本申请实施例的无线定位信息的发送方法的一示意图；
图3是本申请实施例的无线定位信息的发送方法的另一示意图；
图4是本申请实施例的UE和LMF之间传输标签数据和/或质量相关信息的一示例图；
图5是本申请实施例的UE和LMF之间传输标签数据和/或质量相关信息的另一示例图；
图6是本申请实施例的无线定位信息的发送方法的另一示意图；
图7是本申请实施例的无线定位信息的发送方法的另一示意图；
图8是本申请实施例的信息接收方法的一示意图；
图9是本申请实施例的信息接收方法的一示意图；
图10是本申请实施例的信息发送装置的一示意图；
图11是本申请实施例的信息接收装置的一示意图；
图12是本申请实施例的电子设备的一示意图。
具体实施方式
参照附图，通过下面的说明书，本申请的前述以及其它特征将变得明显。在说明书和附图中，具体公开了本申请的特定实施方式，其表明了其中可以采用本申请的原则的部分实施方式，应了解的是，本申请不限于所描述的实施方式，相反，本申请包括落入所附权利要求的范围内的全部修改、变型以及等同物。
在本申请实施例中，术语“第一”、“第二”等用于对不同元素从称谓上进行区分，但并不表示这些元素的空间排列或时间顺序等，这些元素不应被这些术语所限制。术语“和/或”包括相关联列出的术语的一种或多个中的任何一个和所有组合。术语“包含”、“包括”、“具有”等是指所陈述的特征、元素、元件或组件的存在，但并不排除存在或添加一个或多个其他特征、元素、元件或组件。
在本申请实施例中，单数形式“一”、“该”等包括复数形式，应广义地理解为“一种”或“一类”而并不是限定为“一个”的含义；此外术语“所述”应理解为既包括单数形式也包括复数形式，除非上下文另外明确指出。此外术语“根据”应理解为“至少部分根据……”，术语“基于”应理解为“至少部分基于……”，除非上下文另外明确指出。
在本申请实施例中，术语“通信网络”或“无线通信网络”可以指符合如下任意通信标准的网络，例如长期演进(LTE，Long Term Evolution)、增强的长期演进(LTE-A， LTE-Advanced)、宽带码分多址接入(WCDMA，Wideband Code Division Multiple Access)、高速报文接入(HSPA，High-Speed Packet Access)等等。
并且，通信系统中设备之间的通信可以根据任意阶段的通信协议进行，例如可以包括但不限于如下通信协议：1G(generation)、2G、2.5G、2.75G、3G、4G、4.5G以及未来的5G、新无线(NR，New Radio)等等，和/或其他目前已知或未来将被开发的通信协议。
在本申请实施例中，术语“网络设备”例如是指通信系统中将终端设备接入通信网络并为该终端设备提供服务的设备。网络设备可以包括但不限于如下设备：基站(BS，Base Station)、接入点(AP、Access Point)、收发节点(TRP，Transmission Reception Point)、广播发射机、移动管理实体(MME、Mobile Management Entity)、网关、服务器、无线网络控制器(RNC，Radio Network Controller)、基站控制器(BSC，Base Station Controller)等等。
基站可以包括但不限于：节点B(NodeB或NB)、演进节点B(eNodeB或eNB)以及5G基站(gNB)，IAB宿主等等，此外还可包括远端无线头(RRH，Remote Radio Head)、远端无线单元(RRU，Remote Radio Unit)、中继(relay)或者低功率节点(例如femto、pico等等)。并且术语“基站”可以包括它们的一些或所有功能，每个基站可以对特定的地理区域提供通信覆盖。术语“小区”可以指的是基站和/或其覆盖区域，这取决于使用该术语的上下文。
在本申请实施例中，术语“用户设备”(UE，User Equipment)例如是指通过网络设备接入通信网络并接收网络服务的设备，也可以称为“终端设备”(TE，Terminal Equipment)。终端设备可以是固定的或移动的，并且也可以称为移动台(MS，Mobile Station)、终端、用户、用户台(SS，Subscriber Station)、接入终端(AT，Access Terminal)、站，等等。
终端设备可以包括但不限于如下设备：蜂窝电话(Cellular Phone)、个人数字助理(PDA，Personal Digital Assistant)、无线调制解调器、无线通信设备、手持设备、机器型通信设备、膝上型计算机、无绳电话、智能手机、智能手表、数字相机，等等。
再例如，在物联网(IoT，Internet of Things)等场景下，终端设备还可以是进行监控或测量的机器或装置，例如可以包括但不限于：机器类通信(MTC，Machine Type Communication)终端、车载通信终端、设备到设备(D2D，Device to Device)终端、机器到机器(M2M，Machine to Machine)终端，等等。
以下通过示例对本申请实施例的场景进行说明，但本申请不限于此。
图1是本申请实施例的通信系统的示意图，示意性说明了以终端设备和网络设备为例的情况，如图1所示，通信系统100可以包括网络设备101、终端设备102和定位服务器103。为简单起见，图1仅以一个终端设备和一个网络设备为例进行说明，但本申请实施例不限于此。
在本申请实施例中，网络设备101和终端设备102之间可以进行现有的业务或者未来可实施的业务发送。例如，这些业务可以包括但不限于：增强的移动宽带(eMBB，enhanced Mobile Broadband)、大规模机器类型通信(mMTC，massive Machine Type Communication)和高可靠低时延通信(URLLC，Ultra-Reliable and Low-Latency Communication)，等等。
值得注意的是，图1示出了终端设备102处于网络设备101的覆盖范围内，但本申请不限于此。终端设备102可以不在网络设备101的覆盖范围内。此外，图1以定位服务器103单独部署为例进行说明，在定位服务器103中可以运行AI/ML模型从而获得定位结果；但本申请不限于此，定位服务器103可以部署在核心网、也可以部署在网络设备102(例如基站)中，还可以部署在终端设备103中；本申请实施例对这些情况不进行限制。
在本申请实施例中，可以将待定位的终端设备称为目标设备(target device)，将定位服务器的功能称为定位管理功能(LMF，Location Management Function)。LMF可以是对终端定位和管理的网路实体，也可以将具有定位管理功能的位置服务器(location server)简称为LMF。在不引起混淆的情况下，术语“LMF”和“位置服务器”可以互换。关于这些概念以及定位的具体内容，可以参考相关技术。
在本申请实施例中，无线定位信息的发送装置(也可称为信息发送模块或信息发送实体)可以为终端设备(例如UE)，也可以为网络设备(例如gNB或核心网的实体(例如LMF或AMF))，或者也可以是以上任一设备的部分功能或实体。无线定位信息的接收装置(也可称为信息接收模块或信息接收实体)可以为网络设备(例如gNB或核心网的实体(例如LMF或AMF))，也可以为终端设备(例如UE)，或者也可以是以上任一设备的部分功能或实体。另外，图1以无线定位为例进行了说明，但本申请不限于此，本申请的无线定位信息的传输方案可以应用于其他任何相关场景。
第一方面的实施例
本申请实施例提供一种无线定位信息的发送方法，从信息发送装置一侧进行说明。该信息发送装置可以是终端设备(例如目标设备、PRU或者其他终端)，也可以是网络设备(例如基站、或具有LMF功能的位置服务器)。
图2是本申请实施例的无线定位信息的发送方法的一示意图，如图2所示，该方法包括：
201，终端设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
202，所述终端设备向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
值得注意的是，以上附图2仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图2的记载。
在一些实施例中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
在目前用于无线定位的AI/ML模型方案中，无法获取到绝对精确的无线定位标签数据。此外，即使进行数据测量上报，附带上报的内容一般也仅包括：数据错误来源信息、数据获取的时间信息(例如包括绝对时间戳信息和/或SFN帧信息)等，但这些信息不足以对AI/ML模型进行有效的监督、重训练、精调等操作。
在本申请实施例中，在获取标签数据(真值数据)的同时或者之后，还获取相应的质量相关信息作为辅助信息，例如对当前标签数据的数学统计信息、精度估计信息、波束信息等，可以同将这些质量相关信息与标签数据一起通过空口传送给模型部署实体，这些辅助信息可以帮助模型部署实体在训练、推理或监督时作出更精确的判断，例如是否需要舍弃不精准的标签数据样本，或对这些样本进行分类后选择适当的模型进行切换并重新训练。
由此，通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
例如，可以选择标签数据质量较好的实体发起数据收集；或者也可以根据当前数据 的质量选择标签数据，进行重新训练或精调训练或性能监督；或者当数据质量较差时选择回退到传统无线定位方法。
在一些实施例中，终端设备可以根据当前定位技术获取准确的标签数据，例如通过使用PRU(Positioning Reference Unit)和其他定位技术如GNSS,WIFI等获取。这些准确定位的资源无法保证在所有环境和所有时刻均能够获取，终端设备可以在能够获取的时候获得这些标签数据，然后上报给网络设备。
此外，终端设备在获取到标签数据之后，可以进行统计、计算、筛选等操作，从而获得这些标签数据的质量相关信息。即，终端设备可以对数据辅助信息的内容进行扩充增强，使得辅助信息包括质量相关信息，并通过空口由数据收集装置(例如UE或PRU)传递给模型部署装置(例如基站或LMF)，目的是帮助基站或LMF进行模型相关的各种优化或动作，提高无线定位的精度。
例如，终端设备可以在条件满足的情况下获取标签数据，并通过统计、计算等获得相应的质量相关信息。终端设备可以周期性地上报已获得的标签数据和/或相应的质量相关信息，也可以非周期性地上报已获得的标签数据和/或相应的质量相关信息。
在一些实施例中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。但本申请不限于此，标签数据还可以是无线定位的AI/ML模型所需的其他数据。
在一些实施例中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。但本申请不限于此，质量相关信息还可以是其他信息，例如数据来源信息、无线环境信息，再例如状态或统计信息、评估指标信息。
在一些实施例中，标签数据和质量相关信息相对应地获得并上报。例如，针对以上标签数据的每一种，可以包括以上的一种或多种质量相关信息。
例如，标签数据包括位置信息，则终端设备可以获取该位置信息所对应的以下任意一种或多种：误差信息、误差等级或范围信息、置信度信息、SINR信息、RSRP信息。再例如，标签数据包括时间信息，则终端设备可以获取该时间信息所对应的以下任意一种或多种：误差信息、误差等级或范围信息、置信度信息、SINR信息、RSRP信息。再例如，标签数据包括角度信息，则终端设备可以获取该角度信息所对应的以下任意一种或多种：误差信息、误差等级或范围信息、置信度信息、SINR信息、RSRP信息。
以位置信息为例，无线环境中的各UE可以在适宜的无线信道条件下通过各种无线 定位方法获得自身的位置信息，将该位置信息作为标签数据，PRU可以直接获得自身的位置信息，将该位置信息作为标签数据；此外UE或PRU可以计算出该标签数据的质量相关信息，具体如何计算可以参考后面的实施例。
例如，当标签数据是位置信息，质量相关信息是误差信息时，可以通过在Common IEsProvideLocationInformation增加域来实现，如表1所示，例如可以增加标签数据的误差信息的反馈域。
表1
再例如，也可以新定义AI/ML专属位置信息IE(例如NR-DL-AI/ML-ProvideLocation Information)，并将待反馈信息作为一个域放在AI/ML专属位置信息IE的内部，如表2所示，例如可以在AI/ML专属位置信息IE中增加标签数据的误差信息的反馈域。
表2
以上以LPP信令的IE为例进行了示例性说明，本申请不限于此。
以下再以误差信息为例进行示例性说明。例如，该误差信息可以为：当前采集到的数据与准确数据之间的差值；其中准确数据的获取可以通过非3GPP的无线定位方法如GNSS、WIFI或LIDAR等获取，或利用当前无线环境中的PRU获取，也可以通过信道条件良好时的传统定位方法或AI/ML方法获得，具体方法由数据收集实体的实现算法进行判定。
例如，精确的UE位置数据坐标为(x,y)，而当前获取到的UE位置数据坐标为(x1,y1)，则UE可上报如下的误差信息：
-分别上报准确坐标和获取坐标的在两个维度上的差值(x1-x,y1-y),类型可选绝对值或相对值；
-只上报准确坐标和获取坐标的距离(如欧式距离，马氏距离等)，可以通过平方根或其他数学方法得到；
-对于三维的坐标位置信息，可以在3个维度上分别计算误差信息，也可以选择其中的某一维或某两维上的误差信息进行计算。
相应地，当标签数据为时间信息和/或角度信息时，也可上报各自相应的误差信息。表3示出了作为标签数据的误差信息的反馈域的一个示例。
表3
对于收集到的标签数据为非位置坐标信息，也可以给出相应的误差或差值信息。例如，针对LOS/NLOS的概率信息，准确值为X％,而当前采集到的值为X1％，则误差信息可定义为(X-X1)％。
以下再以误差等级或误差范围为例进行示例性说明。例如，误差信息不一定能被设备精确地计算得到，可能只能得到一个大致估算的误差值，即误差范围或误差等级。
例如，UE可以通过信令(如LPP)向LMF反馈数据大致的误差范围。当数据为位置信息时，误差范围可以表征为以米(m)，厘米(cm)等长度单位表征的数字范围，如误差范围0.5m，10cm等，可以量化为一些常见的选项，例如以1米为间隔。当数据为时间信息(例如TDOA,RSTD等)时，可以使用时间单位作为间隔；当数据为角度信息时可以类似地处理。
表4示出了作为标签数据的误差范围的反馈域的一个示例。
表4
再例如，UE可以通过信令(如LPP)向LMF反馈误差等级。例如，将不同等级的误差值进行量化，通过数字(如等级1，等级2…)或具有表征意义的字符(如good,medium,bad等)表示。误差等级具体对应的误差范围或对后续过程的影响，可以由具体实现的技术决定。
表5示出了作为标签数据的误差等级的反馈域的一个示例。
表5
对于质量相关信息为置信度信息的情况，例如，置信度信息可以反馈当前数据质量的概率分布，例如通过统计多个历史数据质量信息计算概率来预估当前数据质量信息，具体如何计算可以参考相关技术。
对于质量相关信息为SINR信息的情况，例如，UE或PRU可以通过信令(如LPP)向LMF反馈数据SINR的信息。SINR的具体计算方法可由UE通过信道测量及自身算法实现。在上报给LMF的时候，可以选择为每个数据上报对应的SINR值，也可以在一个上报周期内对多个数据只上报一个SINR值。
表6示出了作为标签数据的误差等级的反馈域的另一个示例，示出了SINR的情况。
表6
对于质量相关信息为RSRP信息的情况，例如，UE或PRU可以通过信令(如LPP)向LMF反馈数据RSRP信息。UE或PRU可对用于获取标签数据的参考信号进行信道测量获取对应的RSRP信息。
表7示出了作为标签数据的误差等级的反馈域的另一个示例，示出了RSRP的情况。
表7
以上示例性说明了反映标签数据质量的直接信息，以下再对反映标签数据质量的间接信息进行示例性说明。
在一些实施例中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息，和/或，获取所述标签数据时所述终端设备所在的无线环境信息。
例如，除了以上提到的质量相关信息，终端设备还可以获取数据来源信息、无线环境信息等。例如，UE可以通过各种无线定位方法获得自身的位置信息，将该位置信息作为标签数据，则该标签数据的来源信息(例如所用定位方法的标识等)可以作为质量相关信息。再例如，UE可以通过WIFI获得自身的位置信息，将该位置信息作为标签数 据，则该WIFI场景、区域、波束等与环境相关的信息可以作为质量相关信息。
例如，UE可以收集并上报数据来源信息。表8以位置信息为例，示例性示出了数据来源信息的一个示例。
表8
如表8所示，可增加例如PRU类型、传统定位方法、AI/ML方法等数据来源信息。
再例如，在用于定位的无线信道环境中，基于地理位置、信道特征等的不同，可能会产生一些地理区域、场景、波束等相关信息，可以进行一定的分类并用标识信息进行 区分(例如，场景ID、波束ID、区域ID、NLOS等级ID等)；这些辅助信息可以随同数据一起由UE经LPP信令发送给LMF，作为判断当前数据是否可用以及如何使用的质量相关信息的一部分。
表9示例性示出了辅助信息的一个示例。
表9
上述信息可以通过LPP信令的“ProvideLocationInformation”承载，也可以通过LPP信令的“ProvideAssistanceData”承载，也可以通过其他LPP信令或非LPP信令承载；本申请不限于此。
在一些实施例中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息(如概率)的配置信息，和/或，评估指标信息。例如，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
例如，除了以上提到的质量相关信息，终端设备还可以获取状态信息或统计信息、评估指标信息等。例如，UE可以计算出LOS/NLOS指示信息，例如LOS/NLOS概率信息；将LOS/NLOS概率作为标签数据，则计算该LOS/NLOS概率的实现算法相关的信息作为质量相关信息。
LOS/NLOS概率也可作为某一类AI/ML模型的标签数据，而这一类数据的获取很大程度上取决于实体计算所用的算法等。UE可以通过LPP信令向LMF传递关于LOS/NLOS计算时所使用的算法相关信息，不同的算法可以对应不同的数据精确度。
例如，网络设备和终端设备约定可支持的LOS/NLOS概率计算方法列表，并定义相应的INDEX，不同算法或者不同实施方法对应不同的INDEX和数据质量/适用性。在数据上报的同时，终端设备可选择将上述INDEX一起上报。
再例如，网络设备可以定义一些算法相关的具体评估指标，例如算法模块处理速度、计算复杂度等。终端设备可以选择将上述评估指标信息传送给网络设备，由网络设备综合判断当前算法和数据质量/适用性的对应关系。
在一些实施例中，终端设备可以针对每个标签数据获取相应的质量相关信息，但不限于此。在一些实施例中，所述终端设备针对多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
例如，所述终端设备对一段时间内的全部或者一部分标签数据进行统计，获得整体(全部或者一部分标签数据)所对应的质量相关信息。这些标签数据可以是这段时间内连续获得的数据，也可以是一些经过筛选的离散的数据，等等，本申请不限于此。
在一些实施例中，所述多个标签数据所对应的质量相关信息包括如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
由此，通过上报多个标签数据所对应的质量相关信息，不仅可以提升无线定位的准确性，而且能够减少上报的数据量，进一步降低空口传输开销。
例如，由于AI/ML数据通常总量较为庞大，尤其是在模型训练阶段，如果对每一组标签数据均附加质量相关信息，上报可能会使上行资源消耗过大，因此可以将一段时间内收集的整批数据的整体误差信息进行统一上报。
例如，上报内容可以是如下至少之一：
-最小或最大误差范围信息；
-总体样本内最大误差信息、最小误差信息、平均误差信息、或者中位数误差值信息；
-整体误差置信度信息，该置信度信息反映样本整体的误差统计信息；例如，可以设置一个误差门限，并统计小于该误差门限的样本数占总体样本数的百分比，来反映整 体数据的置信度信息。
表10示出了作为标签数据的批量误差等级的反馈域的一个示例。
表10
在一些实施例中，所述终端设备接收来自所述网络设备的指示信息；并且，所述终端设备根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
由此，终端设备在接收到网络设备的指示信息的情况下，再上报标签数据和/或质量相关信息，可以按需进行上报，在提升无线定位的准确性的同时，能够减少上报的数据量，进一步降低空口传输开销。
图3是本申请实施例的无线定位信息的发送方法的另一示意图，如图3所示，该方 法包括：
301，终端设备获取用于无线定位的标签数据；
302，终端设备获取(计算、统计、筛选等)标签数据对应的质量相关信息；
303，终端设备接收来自网络设备的指示信息；
304，所述终端设备根据该指示信息，向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
值得注意的是，以上附图3仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图3的记载。
在一些实施例中，所述终端设备可以根据所述指示信息一起发送所述标签数据和所述质量相关信息；或者，所述终端设备也可以根据所述指示信息先发送所述标签数据，再发送所述质量相关信息；或者，所述终端设备也可以根据所述指示信息先发送所述质量相关信息，再发送所述标签数据；或者，所述终端设备也可以根据所述指示信息发送所述标签数据(例如在本次传输中不发送对应的质量相关信息)；或者，所述终端设备也可以根据所述指示信息发送所述质量相关信息(例如在本次传输中不发送对应的标签数据)。
在一些实施例中，所述指示信息指示所述质量相关信息的内容、范围或格式；本申请不限于此。此外，所述指示信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。终端设备接收到该指示信息后，可以按照指示信息的要求准备标签数据和/或质量相关信息并上报给网络设备。
如图3所示，该方法还可以包括：
305，所述终端设备向所述网络设备发送反馈信息。
例如，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息；本申请不限于此。
以下再示例性说明指示信息。例如，网络设备(例如LMF)也可在指示数据上报的时候对数据质量进行筛选，例如指定一些质量门限或者定时器。可以包含上述实施例中给出的各种质量相关信息，例如：数据最大误差门限、最大误差等级门限、批量数据最大误差率门限等。再例如，网络设备还可以指定期望获取数据对应的数据源、场景ID、区域ID、NLOS等级ID、波束ID等信息。
在一些例子中，网络设备可以直接指定关于数据质量相关信息的具体门限值，例如：指定2D位置坐标最大误差值不得超过1米、最大误差等级不超过第三级等，具体定义取决于具体实现方式。
在一些例子中，网络设备还可以通过设定计数器的方式，对符合质量信息的数据样本量进行控制。例如，设定最小样本量为1000，则终端设备至少收集到符合要求数据质量的1000个样本之后才可以进行上报。
在一些例子中，网络设备还可以通过设定计时器的方式，对收集信息的时间段进行控制。例如，定时器设置为5ms，则5ms之外收集到的数据不进行上报。
上述门限信息、定时器、计数器可以组合使用，也可以单独使用。
在一些例子中，网络设备可以同时定义终端设备在无法满足数据要求时的后续动作，例如，要求终端设备丢弃不满足质量要求的数据、重新收集数据、或给定额外信息对数据进行进一步的筛选。
在一些例子中，终端设备在收到网络设备给出的指示信息后，可以对网络设备进行信息反馈，反馈内容可以包括：数据及辅助信息传输完成/未完成的确认信息、未完成的附加原因信息等。
网络设备可通过既有LPP信令、新定义的LPP信令或其他信令来承载上述信息。下面IE给出一个使用既有LPP信令中的“CommonIEsRequestLocationInformation”IE来进行信息承载的例子。
表11

以上示意性说明了标签数据和/或质量相关信息，以下再通过一些示例进行说明。
图4是本申请实施例的UE和LMF之间传输标签数据和/或质量相关信息的一示例 图。如图4所示，LMF向UE发送指示信息(401)，指示UE来发送标签数据和/或质量相关信息；UE根据该指示信息上报标签数据和/或质量相关信息(402)。
例如，LMF通过LPP信令的IE例如“RequestLocationInformation”，向UE指示标签数据和/或质量相关信息。UE通过LPP信令的IE例如“ProvideLocationInformation”向LMF发送标签数据和/或质量相关信息。
图5是本申请实施例的UE和LMF之间传输标签数据和/或质量相关信息的另一示例图。如图5所示，LMF向UE发起UE能力问询(inquiry)(501)，UE通过UE能力响应(response)来上报标签数据和/或质量相关信息(502)。
此外，标签数据为位置信息时，还可以通过其他LPP信令(例如AssistanceData)进行交互和上报；或者也可以通过其他空口信令，例如RRC或者NRPPa等进行交互和上报。
如果上报的标签数据是其他非位置信息，例如信道LOS/NLOS信息时，可能通过既有辅助信息LPP信令(如AssistanceData)进行交互和上报，或者通过其他LPP信令进行交互和上报，或者通过新定义的LPP信令或其他信令(例如RRC、NRPPa)进行交互和上报。
值得注意的是，以上附图4和图5仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图4和图5的记载。
以上以信息发送装置为终端设备、信息接收装置为网络设备为例进行了说明，本申请不限于此，以下再对信息发送装置为网络设备、信息接收装置为终端设备进行说明，以上相同的内容省略说明。
图6是本申请实施例的无线定位信息的发送方法的另一示意图，如图6所示，该方法包括：
601，网络设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
602，所述网络设备向终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
值得注意的是，以上附图6仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或 者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图6的记载。
在一些实施例中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
在一些实施例中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。
在一些实施例中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。
在一些实施例中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息和/或获取所述标签数据时所述终端设备所在的无线环境信息。
在一些实施例中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息(如概率)的配置信息和/或评估指标信息。
在一些实施例中，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
在一些实施例中，所述网络设备针对一段时间内的多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
在一些实施例中，所述网络设备对所述一段时间内的全部或者一部分标签数据进行统计，获得所对应的质量相关信息。
在一些实施例中，所述多个标签数据所对应的质量相关信息包括如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
在一些实施例中，所述网络设备接收来自所述终端设备的请求信息；并且，所述网络设备根据所述请求信息向所述终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
图7是本申请实施例的无线定位信息的发送方法的另一示意图，如图7所示，该方法包括：
701，网络设备获取用于无线定位的标签数据；
702，网络设备获取(计算、统计、筛选等)标签数据对应的质量相关信息；
703，网络设备接收来自终端设备的请求信息；
704，所述网络设备根据该请求信息，向终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
值得注意的是，以上附图7仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图7的记载。
在一些实施例中，如图7所示，该方法还可以包括：
705，所述网络设备向所述终端设备发送反馈信息。
在一些实施例中，所述网络设备根据所述请求信息一起发送所述标签数据和所述质量相关信息；或者，所述网络设备根据所述请求信息先发送所述标签数据，再发送所述质量相关信息；或者，所述网络设备根据所述请求信息先发送所述质量相关信息，再发送所述标签数据；或者，所述网络设备根据所述请求信息发送所述标签数据；或者，所述网络设备根据所述请求信息发送所述质量相关信息。
在一些实施例中，所述请求信息指示所述质量相关信息的内容、范围或格式。
在一些实施例中，所述请求信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。
在一些实施例中，所述网络设备向所述终端设备发送反馈信息。
在一些实施例中，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息。
以上各个实施例仅对本申请实施例进行了示例性说明，但本申请不限于此，还可以在以上各个实施例的基础上进行适当的变型。例如，可以单独使用上述各个实施例，也可以将以上各个实施例中的一种或多种结合起来。
根据本申请实施例，通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
第二方面的实施例
本申请实施例提供一种无线定位信息的接收方法，从信息接收装置一侧进行说明。第二方面的实施例对应于第一方面的实施例，相同的内容不再赘述。
图8是本申请实施例的信息接收方法的一示意图，如图8所示，该方法包括：
801，网络设备接收来自终端设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
在一些实施例中，如图8所示，所述方法还包括：
800，所述网络设备向所述终端设备发送指示信息；并且，所述终端设备根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
在一些实施例中，如图8所示，所述方法还包括：
802，所述网络设备接收来自所述终端设备的反馈信息。
值得注意的是，以上附图8仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地调整各个操作之间的执行顺序，此外还可以增加其他的一些操作或者减少其中的某些操作。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图8的记载。
以上以信息发送装置为终端设备、信息接收装置为网络设备为例进行了说明，本申请不限于此，以下再对信息发送装置为网络设备、信息接收装置为终端设备进行说明，以上相同的内容省略说明。
图9是本申请实施例的信息接收方法的另一示意图，如图9所示，该方法包括：
901，终端设备接收来自网络设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
在一些实施例中，如图9所示，所述方法还包括：
900，所述终端设备向所述网络设备发送请求信息；并且，所述终端设备根据所述请求信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
在一些实施例中，如图9所示，所述方法还包括：
902，所述终端设备接收来自所述网络设备的反馈信息。
以上各个实施例仅对本申请实施例进行了示例性说明，但本申请不限于此，还可以在以上各个实施例的基础上进行适当的变型。例如，可以单独使用上述各个实施例，也可以将以上各个实施例中的一种或多种结合起来。
根据本申请实施例，通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标 签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
第三方面的实施例
本申请实施例提供一种无线定位信息的发送装置(信息发送装置)。由于该信息发送装置解决问题的功能与第一方面的实施例的方法相同，因此其具体实施可以参照第一方面的实施例，内容相同之处不再重复说明。
图10是本申请实施例的信息发送装置的一示意图，该信息发送装置可以配置于终端设备，也可以配置于网络设备。如图10所示，信息发送装置1000包括：
获取单元1001，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
发送单元1002，其发送所述标签数据和/或所述标签数据对应的质量相关信息。
值得注意的是，以上附图10仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地增加其他的一些模块或部件或者减少其中的某些模块或部件。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图10的记载。
在一些实施例中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
在一些实施例中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。
在一些实施例中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。
在一些实施例中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息和/或获取所述标签数据时所在的无线环境信息。
在一些实施例中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息的配置信息和/或评估指标信息。
在一些实施例中，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
在一些实施例中，针对一段时间内的多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
在一些实施例中，对所述一段时间内的全部或者一部分标签数据进行统计，获得所对应的质量相关信息。
在一些实施例中，所述多个标签数据所对应的质量相关信息包括如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
在一些实施例中，如图10所示，所述装置还可以包括：
接收单元1003，其接收请求信息或者指示信息；
并且，所述发送单元1002根据所述请求信息或指示信息发送所述标签数据和/或所述标签数据对应的质量相关信息。
在一些实施例中，所述发送单元1002根据所述请求信息或指示信息一起发送所述标签数据和所述质量相关信息；或者，根据所述请求信息或指示信息先发送所述标签数据，再发送所述质量相关信息；或者，根据所述请求信息或指示信息先发送所述质量相关信息，再发送所述标签数据；或者，根据所述请求信息或指示信息发送所述标签数据；或者，根据所述请求信息发送所述质量相关信息。
在一些实施例中，所述请求信息或指示信息指示所述质量相关信息的内容、范围或格式。
在一些实施例中，所述请求信息或指示信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。
在一些实施例中，所述发送单元1002还发送反馈信息。
在一些实施例中，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息。
此外，为了简单起见，图10中仅示例性示出了各个部件或模块之间的连接关系或信号走向，但是本领域技术人员应该清楚的是，可以采用总线连接等各种相关技术。上述各个部件或模块可以通过例如处理器、存储器、发射机、接收机等硬件设施来实现；本申请实施并不对此进行限制。
以上各个实施例仅对本申请实施例进行了示例性说明，但本申请不限于此，还可以在以上各个实施例的基础上进行适当的变型。例如，可以单独使用上述各个实施例，也可以将以上各个实施例中的一种或多种结合起来。
根据本申请实施例，通过在网络设备和终端设置之间传输用于无线定位的标签数据 以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
第四方面的实施例
本申请实施例提供一种无线定位信息的接收装置(信息接收装置)。由于该信息接收装置解决问题的功能与第二方面的实施例的方法相同，因此其具体实施可以参照第一、二方面的实施例，内容相同之处不再重复说明。
图11是本申请实施例的信息接收装置的一示意图，该信息接收装置可以配置于终端设备，也可以配置于网络设备。如图11所示，信息接收装置1100包括：
接收单元1101，其接收用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
值得注意的是，以上附图11仅对本申请实施例进行了示意性说明，但本申请不限于此。例如可以适当地增加其他的一些模块或部件或者减少其中的某些模块或部件。本领域的技术人员可以根据上述内容进行适当地变型，而不仅限于上述附图11的记载。
在一些实施例中，如图11所示，该信息接收装置1100还包括：
发送单元1102，其发送请求信息或指示信息。
在一些实施例中，所述接收单元1101还接收反馈信息。
此外，为了简单起见，图11中仅示例性示出了各个部件或模块之间的连接关系或信号走向，但是本领域技术人员应该清楚的是，可以采用总线连接等各种相关技术。上述各个部件或模块可以通过例如处理器、存储器、发射机、接收机等硬件设施来实现；本申请实施并不对此进行限制。
以上各个实施例仅对本申请实施例进行了示例性说明，但本申请不限于此，还可以在以上各个实施例的基础上进行适当的变型。例如，可以单独使用上述各个实施例，也可以将以上各个实施例中的一种或多种结合起来。
根据本申请实施例，通过在网络设备和终端设置之间传输用于无线定位的标签数据以及对应的质量相关信息，部署AI/ML模型的设备即使进入陌生环境，也能够根据标签数据的质量相关信息对当前模型优化进行决策，从而能够改善模型的泛化性，提升AI/ML模型无线定位的准确性。
第五方面的实施例
本申请实施例提供了一种通信系统，图1是本申请实施例的通信系统的示意图，如图1所示，该通信系统100包括网络设备101、终端设备102以及定位服务器103，为简单起见，图1仅以一个网络设备以及一个终端设备为例进行说明，但本申请实施例不限于此。
在一些实施例中，通信系统包括：
终端设备，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息；
网络设备，其接收所述标签数据以及所述标签数据对应的质量相关信息。
在一些实施例中，通信系统包括：
网络设备，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；向终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息；
终端设备，其接收所述标签数据以及所述标签数据对应的质量相关信息。
本申请实施例还提供一种电子设备，该电子设备例如包括前述的信息发送装置或者信息接收装置。
图12是本申请实施例的电子设备的构成示意图。如图12所示，电子设备1200可以包括：处理器1210(例如中央处理器CPU)和存储器1220；存储器1220耦合到处理器1210。其中该存储器1220可存储各种数据；此外还存储信息处理的程序1230，并且在处理器1210的控制下执行该程序1230。
例如，处理器1210可以被配置为执行程序而实现如第一方面的实施例所述的无线定位信息的发送方法。例如，处理器1210可以被配置为进行如下的控制：获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；发送所述标签数据和/或所述标签数据对应的质量相关信息。
再例如，处理器1210可以被配置为执行程序而实现如第二方面的实施例所述的无线定位信息的接收方法。例如，处理器1210可以被配置为进行如下的控制：接收用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
此外，如图12所示，电子设备1200还可以包括：收发机1240和天线1250等；其中，上述部件的功能与现有技术类似，此处不再赘述。值得注意的是，电子设备1200也并不是必须要包括图12中所示的所有部件；此外，电子设备1200还可以包括图12中没有示出的部件，可以参考现有技术。
本申请实施例还提供一种计算机可读程序，其中当在信息发送装置中执行所述程序时，所述程序使得计算机在所述信息发送装置中执行第一方面的实施例所述的无线定位信息的发送方法。
本申请实施例还提供一种存储有计算机可读程序的存储介质，其中所述计算机可读程序使得计算机在信息发送装置中执行第一方面的实施例所述的无线定位信息的发送方法。
本申请实施例还提供一种计算机可读程序，其中当在信息接收装置中执行所述程序时，所述程序使得计算机在所述信息接收装置中执行第二方面的实施例所述的无线定位信息的接收方法。
本申请实施例还提供一种存储有计算机可读程序的存储介质，其中所述计算机可读程序使得计算机在信息接收装置中执行第二方面的实施例所述的无线定位信息的接收方法。
本申请以上的装置和方法可以由硬件实现，也可以由硬件结合软件实现。本申请涉及这样的计算机可读程序，当该程序被逻辑部件所执行时，能够使该逻辑部件实现上文所述的装置或构成部件，或使该逻辑部件实现上文所述的各种方法或步骤。逻辑部件例如现场可编程逻辑部件、微处理器、计算机中使用的处理器等。本申请还涉及用于存储以上程序的存储介质，如硬盘、磁盘、光盘、DVD、flash存储器等。
结合本申请实施例描述的方法/装置可直接体现为硬件、由处理器执行的软件模块或二者组合。例如，图中所示的功能框图中的一个或多个和/或功能框图的一个或多个组合，既可以对应于计算机程序流程的各个软件模块，亦可以对应于各个硬件模块。这些软件模块，可以分别对应于图中所示的各个步骤。这些硬件模块例如可利用现场可编程门阵列(FPGA)将这些软件模块固化而实现。
软件模块可以位于RAM存储器、闪存、ROM存储器、EPROM存储器、EEPROM存储器、寄存器、硬盘、移动磁盘、CD-ROM或者本领域已知的任何其它形式的存储介质。可以将一种存储介质耦接至处理器，从而使处理器能够从该存储介质读取信息，且可向该存储介质写入信息；或者该存储介质可以是处理器的组成部分。处理器和存储介质可以位于ASIC中。该软件模块可以存储在移动终端的存储器中，也可以存储在可插入移动终端的存储卡中。例如，若设备(如移动终端)采用的是较大容量的MEGA-SIM卡或者大容量的闪存装置，则该软件模块可存储在该MEGA-SIM卡或者大容量的闪存装置中。
针对附图中描述的功能方框中的一个或多个和/或功能方框的一个或多个组合，可以实现为用于执行本申请所描述功能的通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现场可编程门阵列(FPGA)或者其它可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件或者其任意适当组合。针对附图描述的功能方框中的一个或多个和/或功能方框的一个或多个组合，还可以实现为计算设备的组合，例如，DSP和微处理器的组合、多个微处理器、与DSP通信结合的一个或多个微处理器或者任何其它这种配置。
以上结合具体的实施方式对本申请进行了描述，但本领域技术人员应该清楚，这些描述都是示例性的，并不是对本申请保护范围的限制。本领域技术人员可以根据本申请的精神和原理对本申请做出各种变型和修改，这些变型和修改也在本申请的范围内。
关于本实施例公开的上述实施方式，还公开了如下的附记：
1.一种无线定位信息的发送方法，包括：
终端设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
所述终端设备向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
2.根据附记1所述的方法，其中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
3.根据附记1所述的方法，其中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。
4.根据附记1所述的方法，其中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。
5.根据附记1所述的方法，其中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息和/或获取所述标签数据时所述终端设备所在的无线环境信息。
6.根据附记1所述的方法，其中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息(如概率)的配置信息和/或评估指标信息。
7.根据附记6所述的方法，其中，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
8.根据附记1至7任一项所述的方法，其中，所述终端设备针对一段时间内的多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
9.根据附记8所述的方法，其中，所述终端设备对所述一段时间内的全部或者一部分标签数据进行统计，获得所对应的质量相关信息。
10.根据附记8所述的方法，其中，所述多个标签数据所对应的质量相关信息包括如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
11.根据附记1至10任一项所述的方法，其中，所述方法还包括：
所述终端设备接收来自所述网络设备的指示信息；
并且，所述终端设备根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
12.根据附记11所述的方法，其中，所述终端设备根据所述指示信息一起发送所述标签数据和所述质量相关信息；
或者，所述终端设备根据所述指示信息先发送所述标签数据，再发送所述质量相关信息；
或者，所述终端设备根据所述指示信息先发送所述质量相关信息，再发送所述标签数据；
或者，所述终端设备根据所述指示信息发送所述标签数据；
或者，所述终端设备根据所述指示信息发送所述质量相关信息。
13.根据附记11所述的方法，其中，所述指示信息指示所述质量相关信息的内容、范围或格式。
14.根据附记11所述的方法，其中，所述指示信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。
15.根据附记1至14任一项所述的方法，其中，所述方法还包括：
所述终端设备向所述网络设备发送反馈信息。
16.根据附记15所述的方法，其中，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息。
17.一种无线定位信息的接收方法，包括：
网络设备接收来自终端设备的用于无线定位的标签数据以及所述标签数据对应的 质量相关信息。
18.根据附记17所述的方法，其中，所述方法还包括：
所述网络设备向所述终端设备发送指示信息；并且，所述终端设备根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
19.根据附记17所述的方法，其中，所述方法还包括：
所述网络设备接收来自所述终端设备的反馈信息。
20.一种无线定位信息的发送方法，包括：
网络设备获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
所述网络设备向终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
21.根据附记20所述的方法，其中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
22.根据附记20所述的方法，其中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。
23.根据附记20所述的方法，其中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。
24.根据附记20所述的方法，其中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息和/或获取所述标签数据时所述终端设备所在的无线环境信息。
25.根据附记20所述的方法，其中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息(如概率)的配置信息和/或评估指标信息。
26.根据附记25所述的方法，其中，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
27.根据附记20至26任一项所述的方法，其中，所述网络设备针对一段时间内的多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
28.根据附记27所述的方法，其中，所述网络设备对所述一段时间内的全部或者一部分标签数据进行统计，获得所对应的质量相关信息。
29.根据附记27所述的方法，其中，所述多个标签数据所对应的质量相关信息包括 如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
30.根据附记20至29任一项所述的方法，其中，所述方法还包括：
所述网络设备接收来自所述终端设备的请求信息；
并且，所述网络设备根据所述请求信息向所述终端设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
31.根据附记30所述的方法，其中，所述网络设备根据所述请求信息一起发送所述标签数据和所述质量相关信息；
或者，所述网络设备根据所述请求信息先发送所述标签数据，再发送所述质量相关信息；
或者，所述网络设备根据所述请求信息先发送所述质量相关信息，再发送所述标签数据；
或者，所述网络设备根据所述请求信息发送所述标签数据；
或者，所述网络设备根据所述请求信息发送所述质量相关信息。
32.根据附记30所述的方法，其中，所述请求信息指示所述质量相关信息的内容、范围或格式。
33.根据附记30所述的方法，其中，所述请求信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。
34.根据附记20至33任一项所述的方法，其中，所述方法还包括：
所述网络设备向所述终端设备发送反馈信息。
35.根据附记34所述的方法，其中，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息。
36.一种无线定位信息的接收方法，包括：
终端设备接收来自网络设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
37.根据附记36所述的方法，其中，所述方法还包括：
所述终端设备向所述网络设备发送请求信息；并且，所述终端设备根据所述请求信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
38.根据附记36所述的方法，其中，所述方法还包括：
所述终端设备接收来自所述网络设备的反馈信息。
39.一种终端设备，包括存储器和处理器，所述存储器存储有计算机程序，所述处理器被配置为执行所述计算机程序而实现如附记1至16任一项所述的无线定位信息的发送方法，或者实现如附记36至38任一项所述的无线定位信息的接收方法。
40.一种网络设备，包括存储器和处理器，所述存储器存储有计算机程序，所述处理器被配置为执行所述计算机程序而实现如附记17至32任一项所述的无线定位信息的发送方法，或者实现如附记33至35任一项所述的无线定位信息的接收方法。
41.一种通信系统，包括：
如附记39所述的终端设备；
如附记40所述的网络设备。

Claims (20)

  1. 一种无线定位信息的发送装置，配置于终端设备，所述装置包括：
    获取单元，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；
    发送单元，其向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
  2. 根据权利要求1所述的装置，其中，所述标签数据被用于无线定位模型的运行和优化，并且所述质量相关信息被用于辅助所述标签数据对所述无线定位模型进行优化。
  3. 根据权利要求1所述的装置，其中，所述标签数据包括如下至少之一：位置信息、时间信息、角度信息、视线LOS/非视线NLOS指示信息。
  4. 根据权利要求1所述的装置，其中，所述质量相关信息包括如下至少之一：误差信息、误差等级或范围信息、置信度信息、信干噪比SINR信息、参考信号接收功率RSRP信息。
  5. 根据权利要求1所述的装置，其中，所述标签数据包括位置信息，所述标签数据对应的质量相关信息包括：所述标签数据的来源信息和/或获取所述标签数据时所述终端设备所在的无线环境信息。
  6. 根据权利要求1所述的装置，其中，所述标签数据包括LOS/NLOS指示信息，所述标签数据对应的质量相关信息包括：用于计算网络设备与终端设备之间无线信道的LOS/NLOS状态或统计信息的配置信息和/或评估指标信息。
  7. 根据权利要求6所述的装置，其中，所述评估指标信息包括计算精度信息、处理速度信息和/或计算复杂度信息。
  8. 根据权利要求1所述的装置，其中，所述终端设备针对多个标签数据，获取并发送所述多个标签数据所对应的质量相关信息。
  9. 根据权利要求8所述的装置，其中，所述终端设备对一段时间内的全部或者一部分标签数据进行统计，获得所对应的质量相关信息。
  10. 根据权利要求8所述的装置，其中，所述多个标签数据所对应的质量相关信息包括如下至少之一：所述多个标签数据的误差范围信息、所述多个标签数据的最大误差、所述多个标签数据的最小误差、所述多个标签数据的平均误差、所述多个标签数据的中位数误差、所述多个标签数据的误差置信度。
  11. 根据权利要求1所述的装置，其中，所述装置还包括：
    接收单元，其接收来自所述网络设备的指示信息；
    并且，所述发送单元根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
  12. 根据权利要求11所述的装置，其中，所述发送单元根据所述指示信息一起发送所述标签数据和所述质量相关信息；
    或者，所述终端设备根据所述指示信息先发送所述标签数据，再发送所述质量相关信息；
    或者，所述终端设备根据所述指示信息先发送所述质量相关信息，再发送所述标签数据；
    或者，所述终端设备根据所述指示信息发送所述标签数据；
    或者，所述终端设备根据所述指示信息发送所述质量相关信息。
  13. 根据权利要求11所述的装置，其中，所述指示信息指示所述质量相关信息的内容、范围或格式。
  14. 根据权利要求11所述的装置，其中，所述指示信息包括用于选择所述标签数据和/或所述质量相关信息的门限信息和/或计数信息和/或时间信息。
  15. 根据权利要求1所述的装置，其中，所述发送单元还向所述网络设备发送反馈信息。
  16. 根据权利要求15所述的装置，其中，所述反馈信息包括如下至少之一：传输完成确认信息、传输未完成确认信息、传输未完成原因信息、重新传输请求信息。
  17. 一种无线定位信息的接收装置，配置于网络设备，所述装置包括：
    接收单元，其接收来自终端设备的用于无线定位的标签数据以及所述标签数据对应的质量相关信息。
  18. 根据权利要求17所述的装置，其中，所述装置还包括：
    发送单元，其向所述终端设备发送指示信息；并且，所述终端设备根据所述指示信息向所述网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息。
  19. 根据权利要求17所述的装置，其中，所述接收单元还接收来自所述终端设备的反馈信息。
  20. 一种通信系统，包括：
    终端设备，其获取用于无线定位的标签数据以及所述标签数据对应的质量相关信息；向网络设备发送所述标签数据和/或所述标签数据对应的质量相关信息；
    网络设备，其接收所述标签数据以及所述标签数据对应的质量相关信息。
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