Information sending method, receiving method, communication node and storage medium

Abstract

The invention discloses an information sending method, an information receiving method, a communication node and a storage medium. The method comprises the following steps: sending first configuration information to a second communication node; receiving perception information sent by the second communication node according to the first configuration information; wherein the sensing information comprises first sensing measurement data.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and for example, relates to a method for sending information, a method for receiving information, a communication node, and a storage medium. Background Art

[0002] During the sensing process, a sensing signal sending node sends a sensing signal. A sensing signal receiving node can detect / receive the sensing signal, measure the detected / received sensing signal to obtain sensing measurement data, and report the sensing measurement data to a sensing calculation node. The sensing calculation node can calculate a sensing result based on the received sensing measurement data.

[0003] In the above process, the sensing signals transmitted between different sensing signal sending nodes and sensing signal receiving nodes often are transmitted over a non-line-of-sight channel, which makes it difficult to accurately calculate the sensing result based on the sensing measurement data obtained from the sensing signals, resulting in poor sensing accuracy. Summary of the Invention

[0004] An embodiment of this application provides a method for sending information, which is applied to a first communication node. The method includes:

[0005] Sending first configuration information to a second communication node;

[0006] Receiving sensing information sent by the second communication node according to the first configuration information; wherein, the sensing information includes first sensing measurement data.

[0007] An embodiment of this application provides a method for receiving information, which is applied to a second communication node. The method includes:

[0008] Receiving first configuration information sent by a first communication node;

[0009] Determining sensing information according to the first configuration information; wherein, the sensing information includes first sensing measurement data;

[0010] Sending the sensing information to the first communication node.

[0011] An embodiment of this application provides a communication node, including: a processor; the processor is configured to implement the method for sending information in any of the above embodiments or implement the method for receiving information in any of the above embodiments when executing a computer program.

[0012] An embodiment of this application further provides a computer-readable storage medium, storing a computer program, where the computer program, when executed by a processor, implements the method for sending information in any of the above embodiments or implements the method for receiving information in any of the above embodiments.

[0013] More descriptions are provided in the accompanying drawings, specific implementation manners, and claims regarding the above embodiments and other aspects of the present application and their implementation manners. Description of the Drawings

[0014] Figure 1 It is a schematic diagram of an application scenario of an information sending method provided by an embodiment;

[0015] Figure 2 It is a schematic diagram of a sending and receiving manner of a sensing signal provided by an embodiment;

[0016] Figure 3 It is a schematic flowchart of an information sending method provided by an embodiment;

[0017] Figure 4 It is a schematic diagram of an information interaction provided by an embodiment;

[0018] Figure 5 It is another schematic diagram of an information interaction provided by an embodiment;

[0019] Figure 6 It is a schematic diagram of the correspondence between a sensing request and a model identifier provided by an embodiment;

[0020] Figure 7 It is a schematic diagram of channel measurement data provided by an embodiment;

[0021] Figure 8 It is a schematic diagram of an implementation manner of a sensing model provided by an embodiment;

[0022] Figure 9 It is a schematic flowchart of another information sending method provided by an embodiment;

[0023] Figure 10 It is the correspondence between the sensing area of a second communication node and a model identifier;

[0024] Figure 11 It is another schematic diagram of an information interaction provided by an embodiment;

[0025] Figure 12 It is a schematic flowchart of another information sending method provided by an embodiment;

[0026] Figure 13 It is another schematic diagram of an information interaction provided by an embodiment;

[0027] Figure 14 It is a schematic flowchart of yet another information sending method provided by an embodiment;

[0028] Figure 15 It is yet another schematic diagram of an information interaction provided by an embodiment;

[0029] Figure 16 is a schematic flowchart of another information sending method provided by an embodiment;

[0030] Figure 17 is a schematic diagram of the positional relationship of the range corresponding to an inference result and QoS requirements provided by an embodiment;

[0031] Figure 18 is a schematic diagram of the positional relationship between another inference result and the true perception result provided by an embodiment;

[0032] Figure 19 is a schematic diagram of another information interaction provided by an embodiment;

[0033] Figure 20 is a schematic flowchart of an information receiving method provided by an embodiment;

[0034] Figure 21 is a schematic structural diagram of an information sending device provided by an embodiment;

[0035] Figure 22 is a schematic structural diagram of an information receiving device provided by an embodiment;

[0036] Figure 23 is a schematic structural diagram of a communication node provided by an embodiment. Detailed implementation manners

[0037] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application. The embodiments of the present application will be described in detail below with reference to the accompanying drawings.

[0038] Figure 1 is a schematic diagram of an application scenario of an information sending method provided by an embodiment. As Figure 1 shown, the perception signal sending node 11 sends perception signals. The perception signal receiving node 12 can detect / receive the perception signals, measure the detected / received perception signals, and obtain perception measurement data. In one implementation, the perception signal receiving node 12 can calculate a perception result based on the perception measurement data. In another implementation, the perception signal receiving node 12 reports the perception measurement data to the perception calculation node 13. The perception calculation node 13 can calculate a perception result based on the received perception measurement data. The perception result in this embodiment may include at least one of the following: position estimation of the perception target, speed estimation of the perception target, intrusion detection of the target area, reconstruction of the target environment, etc.

[0039] There are the following six sensing modes in the related art: the base station sends and receives by itself, base station A sends and base station B receives, the user equipment (UE) sends and the base station receives, the UE sends and receives by itself, UE-A sends and UE-B receives, and the base station sends and the UE receives. It can be understood that the sensing mode stipulates the combination mode between the sensing signal sending node and the sensing signal receiving node. For example, in the sensing mode of base station A sending and base station B receiving, it means that base station A, as the sensing signal sending node, sends a sensing signal to base station B, as the sensing signal receiving node. In the sensing mode of the base station sending and the UE receiving, it means that the base station, as the sensing signal sending node, sends a sensing signal to the UE, as the sensing signal receiving node.

[0040] A sensing signal receiving node can receive sensing signals transmitted by multiple sensing signal sending nodes. Similarly, the sensing signals sent by a sensing signal sending node can also be received by different sensing signal receiving nodes. Figure 2 It is a schematic diagram of the sending and receiving method of the sensing signal provided by an embodiment. As Figure 2 shown in the left figure in, the sensing signal receiving node UE 21 receives the sensing signals transmitted by base station 22, base station 23, and UE 24, which are the sensing signal sending nodes. The sensing signal is the signal obtained after base station 22, base station 23, and UE 24 sense the sensing target. As Figure 2 shown in the right figure in, the sensing signal sending node base station 25 sends sensing signals to base station 26, UE 27, and UE 28, which are the sensing signal receiving nodes. The sensing signal is also the signal obtained after base station 25 senses the sensing target.

[0041] In the related art, there is a problem of poor sensing accuracy. The present application provides an information sending method and a receiving method that can be applied to the above application scenarios to improve the sensing accuracy.

[0042] The following describes the information sending method, the information receiving method, the communication node, and their technical effects.

[0043] Figure 3 It is a schematic flowchart of an information sending method provided by an embodiment. The information sending method provided by this embodiment is applicable to the first communication node. The method includes the following steps.

[0044] Step 301: Send first configuration information to the second communication node.

[0045] The first communication node in this embodiment can also be called a model training node, and it can be Figure 1The perception computing node or perception signal receiving node in it. The perception computing node in this embodiment can also be referred to as a perception server, which may include: a perception function (Sensing function, abbreviated as: SF), a location management function (location management function, abbreviated as: LMF), or a core network. The perception signal receiving node and the perception signal sending node in this embodiment may include: a base station, a UE, a positioning reference unit (positioning reference unit, abbreviated as: PRU). The base station in this embodiment may be an evolved base station (evolved NodeB, abbreviated as: eNB or eNodeB) in Long Term Evolution Advanced (Long Term Evolution advanced, abbreviated as: LTEA), a transmission reception point (transmission reception point, abbreviated as: TRP), a base station in the 5th-generation mobile communication technology (5th-generation, 5G), or a next-generation base station (next generation NodeB, abbreviated as: gNB), a base station in a future mobile communication system, or an access node in a Wireless Fidelity (WiFi) system, etc.

[0046] The second communication node in this embodiment may be a perception signal receiving node. It should be noted that in the scenario where the first communication node is a perception signal receiving node, the second communication node may be a perception signal receiving node different from the first communication node.

[0047] Optionally, the first communication node in this embodiment may be a core network, SF, LMF, UE, PRU, TRP, or gNB, and the second communication node may be a UE, PRU, TRP, or gNB.

[0048] Optionally, the first configuration information in this embodiment may be used to instruct the second communication node to send perception information to the first communication node.

[0049] After receiving the first configuration information, the second communication node sends perception information to the first communication node according to the first configuration information.

[0050] Step 302: Receive the perception information sent by the second communication node according to the first configuration information.

[0051] Among them, the perception information includes first perception measurement data.

[0052] The first communication node receives the sensing information sent by the second communication node according to the first configuration information. The sensing information in this embodiment may include first sensing measurement data. The first sensing measurement data in this embodiment may be the sensing measurement data obtained by the second communication node by detecting or receiving sensing signals and measuring the detected or received sensing signals according to the first configuration information.

[0053] The first sensing measurement data in this embodiment is used to improve the sensing accuracy. Optionally, the first communication node may train the model to be trained according to the first sensing measurement data to obtain a sensing model. Sensing is performed based on the sensing model, thereby improving the sensing accuracy.

[0054] Optionally, the first configuration information may be carried in the request for sensing information. The sensing information may be carried in the provided sensing information. Unless the first communication node explicitly allows the sensing node to report additional sensing information, the sensing information transmitted by the second communication node should match the requested sensing information in step 301 or be a subset of the requested sensing information.

[0055] Optionally, if the sensing information cannot be successfully transmitted at one time due to a large amount of data or other reasons, the information sending method provided in this embodiment further includes the following steps: receiving the additional sensing information sent by the second communication node. Optionally, the additional sensing information may be carried in the additional request for sensing information.

[0056] The following describes the information sending method provided in this embodiment from the perspective of the interaction between the first communication node and the second communication node. Figure 4 It is a schematic diagram of information interaction provided by an embodiment. As Figure 4 shown, the information interaction process includes the following steps.

[0057] Step 401: The first communication node sends the first configuration information to the second communication node.

[0058] Step 402: The second communication node receives the first configuration information sent by the first communication node.

[0059] Step 403: The second communication node determines the sensing information according to the first configuration information.

[0060] Among them, the sensing information includes first sensing measurement data.

[0061] In this step, the second communication node may detect or receive sensing signals according to the first configuration information, and obtain the first sensing measurement data after measuring the detected or received sensing signals.

[0062] Step 404: The second communication node sends the sensing information to the first communication node.

[0063] Step 405: The first communication node receives the sensing information sent by the second communication node according to the first configuration information.

[0064] Optionally, in the information sending method provided in this embodiment, the first communication node may further perform the following steps: receiving a sensing request sent by a sensing service request entity; determining the first configuration information according to the sensing request.

[0065] In this embodiment, the sensing request is used to implement relevant configurations for sensing. Optionally, the sensing request includes at least one of the following: a sensing area, a sensing scenario, a sensing type, and a sensing requirement. Among them, the sensing area may include a coordinate range or the coverage range of several cells. The sensing scenario may include, for example, indoor or outdoor, etc. The sensing type may include at least one of the following: sensing people, sensing animals, sensing drones, and sensing vehicles. The sensing requirement is used to indicate at least one of the following: the accuracy, false alarm rate, and missed alarm rate of each sensing target, etc.

[0066] The sensing service request entity in this embodiment is an entity that initiates a sensing service, and it can send a sensing request to the first communication node when there is a need. Optionally, the sensing service request entity in this embodiment includes: a base station, an SF, an LMF, or a network element in the core network, etc.

[0067] There may be a mapping relationship between the sensing request and the configuration information in this embodiment. The first communication node may determine the first configuration information according to the sensing request and this mapping relationship.

[0068] Figure 5 It is another schematic diagram of information interaction provided by an embodiment. As Figure 5 shown, the information interaction process includes the following steps.

[0069] Step 501: The sensing service request entity sends a sensing request to the first communication node.

[0070] Step 502: The first communication node receives the sensing request sent by the sensing service request entity.

[0071] Step 503: The first communication node determines the first configuration information according to the sensing request.

[0072] Step 504: The first communication node sends the first configuration information to the second communication node.

[0073] Step 505: The second communication node receives the first configuration information sent by the first communication node.

[0074] Step 506: The second communication node determines the sensing information according to the first configuration information.

[0075] Among them, the sensing information includes first sensing measurement data.

[0076] Step 507: The second communication node sends sensing information to the first communication node.

[0077] Step 508: The first communication node receives the sensing information sent by the second communication node according to the first configuration information.

[0078] The embodiment of the present application provides an information sending method. By sending the first configuration information to the second communication node and receiving the sensing information sent by the second communication node according to the first configuration information, where the sensing information includes the first sensing measurement data, the accuracy of sensing is improved based on the first sensing measurement data.

[0079] The following embodiments specifically describe the specific implementation manners of the first configuration information, the sensing information, and the first sensing measurement data.

[0080] In one embodiment, the first configuration information is used to indicate the identification of the model to be trained.

[0081] The model to be trained corresponding to the identification (hereinafter referred to as: ID) of the model to be trained in this embodiment refers to a model based on artificial intelligence (hereinafter referred to as: AI) or machine learning (hereinafter referred to as: ML). The model ID in this embodiment can also be referred to as the associated ID of the model. As an emerging technology in the current wireless communication system, AI / ML can improve the network performance by training a large amount of data. In this embodiment, this technology can be used for target sensing, introducing the AI / ML technology into the sensing scenario to improve the accuracy of sensing.

[0082] In one implementation manner, the first communication node may determine the pre-configured model identification as the identification of the model to be trained, or determine the identification of the model to be trained by itself based on a preset rule.

[0083] In another implementation manner, the first communication node may determine the identification of the model to be trained according to the sensing request sent by the sensing service request entity. The model identification may be bound to at least one of the sensing area, the sensing scenario, or the sensing type in the sensing request. For example, in an outdoor scenario, when the sensing target is a person, the associated ID = 1, and when the sensing target is a drone, the associated ID = 2.

[0084] Figure 6 It is a schematic diagram of the corresponding relationship between the sensing request and the model identification provided by an embodiment. As Figure 6As shown, assume there are 5 sensing requests: sensing request A, sensing request B, sensing request C, sensing request D, and sensing request E. Among them, sensing request A and sensing request C can correspond to association ID 1, sensing request B and sensing request E can correspond to association ID 2, and sensing request D can correspond to association ID 3.

[0085] In one embodiment, the first sensing measurement data is used to train a model to be trained to obtain a sensing model.

[0086] This sensing model can be used for target sensing. It can be understood that the sensing model obtained after training based on the first sensing measurement data can improve the sensing accuracy, thereby improving the performance of the network.

[0087] In one embodiment, the first configuration information includes at least one of the following: data requirements and the quality of service (QoS) of the model to be trained. Correspondingly, the sensing information further includes: quality indication information of the first sensing measurement data. The quality indication information is used to indicate whether the first sensing measurement data meets the data requirements and / or the QoS of the model to be trained.

[0088] Optionally, the data requirements in this embodiment include at least one of the following: measurement quality, accuracy rate, confidence level, etc.

[0089] In this embodiment, after the second communication node determines the first sensing measurement data, it can determine whether the first sensing measurement data meets the data requirements and / or the QoS of the model to be trained to obtain the quality indication information, and send the quality indication information to the first communication node. This implementation can enable the first communication node to efficiently determine the sensing measurement data that meets the requirements according to the quality indication information, improving the sensing efficiency.

[0090] In one embodiment, the first configuration information is used to indicate the type of the sensing measurement data. The type of the sensing measurement data includes at least one of the following: channel impulse response, channel power delay information, and channel delay information.

[0091] Correspondingly, the type of the first sensing measurement data is the same as the type of the sensing measurement data indicated in the first configuration information.

[0092] In one embodiment, the first configuration information is used to indicate the type of the data label of the sensing measurement data. The sensing information further includes the data label of the first sensing measurement data.

[0093] Among them, the data tags of the first sensed measurement data include at least one of the following: the area identifier of the sensing area, the indication information for indicating whether there is a sensed target in the sensing area, the number of sensed targets in the sensing area, the position information of each sensed target, the speed information of each sensed target, the horizontal position of each sensed target, the vertical position of each sensed target, the speed accuracy of each sensed target, the shape of each sensed target, the attribute of each sensed target, the Radar Cross Section (RCS) information of each sensed target, the valid time of the data tag, the identifier of the sensed target, the position information of the sensed target, the speed information of the sensed target, the horizontal position of the sensed target, the vertical position of the sensed target, the speed accuracy of the sensed target, the shape of the sensed target, the attribute of the sensed target, the RCS information of the sensed target. Alternatively, the data tag of the first sensed measurement data includes measurement information.

[0094] In the supervised training process of the AI / ML model, sensed measurement data and its tags are required. In this embodiment, the first configuration information is used to indicate the type of the data tag of the sensed measurement data. Correspondingly, the sensing information further includes the data tag of the first sensed measurement data. The type of the data tag of the first sensed measurement data corresponds to the type of the data tag indicated in the first configuration information.

[0095] Figure 8 It is a schematic diagram of an implementation manner of the sensing model provided by an embodiment. As Figure 8 shown, the sensing model can perform inference based on the sensed measurement data. There are two implementation manners for the output of the sensing model. Figure 8 The output of the sensing model 1 in Figure 8 is the sensing result.

[0096] In the scenario where the output of the sensing model is the sensing result, the data tag of the first sensed measurement data can be divided into the following two implementation manners.

[0097] In the area-based sensing scenario, the data tag of the first sensed measurement data includes at least one of the following: the area identifier of the sensing area, the indication information for indicating whether there is a sensed target in the sensing area, the number of sensed targets in the sensing area, the position information of each sensed target, the speed information of each sensed target, the horizontal position of each sensed target, the vertical position of each sensed target, the speed accuracy of each sensed target, the shape of each sensed target, the attribute of each sensed target, the RCS information of each sensed target, the valid time of the data tag or the measurement.

[0098] In a target-based perception scenario, the data tags of the first perception measurement data include at least one of the following: the identifier of the perceived target, the location information of the perceived target, the speed information of the perceived target, the horizontal position of the perceived target, the vertical position of the perceived target, the speed accuracy of the perceived target, the shape of the perceived target, the attributes of the perceived target, the RCS information of the perceived target, the data tag, or the valid time of the measurement.

[0099] In a scenario where the output of the perception model is intermediate measurement information, the data tags of the first perception measurement data include the measurement information. The measurement information in this embodiment includes at least one of the following: Doppler measurement information, Time of Arrival (TOA), Angle of Arrival (AOA), Line-of-Sight (LOS) indication, non-line of sight (NLOS) indication, and the measurement information of each path.

[0100] For a supervised learning mode, data tags are mandatory. For a semi-supervised learning model, data tags are not mandatory. For an unsupervised learning mode, it is not required that all perception measurement data carry data tags. Based on this, in one embodiment, the first configuration information is used to indicate the quantity and / or proportion of the perception measurement data with data tags. Alternatively, the first configuration information is used to indicate the quantity and / or proportion of the perception measurement data without data tags. Alternatively, the first configuration information is used to indicate that the perception measurement data carry data tags. Alternatively, the first configuration information is used to indicate that the perception measurement data do not carry data tags.

[0101] In this embodiment, the second communication node can determine the quantity and / or proportion of the first perception measurement data with data tags according to the first configuration information. Alternatively, the second communication node can determine the quantity and / or proportion of the first perception measurement data without data tags according to the first configuration information. If the first configuration information indicates that the perception measurement data carry data tags, then all the first perception measurement data carry data tags. If the first configuration information indicates that the perception measurement data do not carry data tags, then all the first perception measurement data do not carry data tags.

[0102] For target perception, the data tags can be information such as the position and speed of the target. It is necessary to introduce a perception reference node to obtain the tag information for model training and monitoring. The perception reference node can provide training and monitoring data tags for models with different associated IDs according to different environments and different types / RCSs of the perceived targets.

[0103] During the model training process, the second communication node can perform channel measurements in an environment without a sensing reference node (SRU) and a sensing target node. Denote the channel measurement data in this scenario as C0. The second communication node can also perform one or more channel measurements in an environment with a sensing reference node. Denote the channel measurement data in this scenario as C1, C2, …, CN. N is an integer greater than 0. In this embodiment, the sensing reference node is a node with known position and movement, and the sensing target node is a node with unknown position and movement. Figure 7 It is a schematic diagram of channel measurement data provided by an embodiment. Figure 7 In the following, the first communication node is used as the TRP for exemplary illustration. As Figure 7 shown, the left figure represents the measurement in an environment with only the environment, that is, an environment without a sensing reference node and a sensing target node. The right figure represents the measurement in an environment with a sensing reference node.

[0104] Based on different types of channel measurement data, there are three implementation manners for the specific content of the first sensing measurement data.

[0105] In the first implementation manner, the first sensing measurement data includes: the channel measurement data of only the environment and the channel measurement data in one or more environments with a sensing reference node. That is, the first sensing measurement data includes: C0, C1, C2, …, CN.

[0106] In the second implementation manner, the first sensing measurement data includes: one or more differential measurement data. Wherein, each differential measurement data is the differential data between the channel measurement data in an environment with a sensing reference node and the channel measurement data of only the environment. That is, the first sensing measurement data includes: C1-C0, C2-C0, …, CN-C0.

[0107] In the third implementation manner, the first sensing measurement data includes: the channel measurement data in one or more environments with a sensing reference node. That is, the first sensing measurement data includes: C1, C2, …, CN.

[0108] For the above three implementation manners, information such as the position and speed of the sensing reference node can be changed to obtain several sets of channel measurement data, that is, to obtain multiple first sensing measurement data, so as to realize the training of the model to be trained.

[0109] For the three implementation manners, the training data sets are respectively:

[0110] The first implementation manner: {input: C0, C1, C2, …, CN; output: the position, speed, type, etc. of each sensing target};

[0111] The second implementation method: {Input: C1 - C0, C2 - C0, …, CN - C0; Output: the position, speed, type, etc. of the sensed target}

[0112] The third implementation method: {Input: C1, C2, …, CN; Output: the position, speed, type, etc. of the sensed target}

[0113] In this embodiment, the first communication node may determine the implementation method of the sensing measurement data based on the sensing scenario or the to - be - trained model identifier, and carry the implementation method of the sensing measurement data in the first configuration information. The second communication node may determine which implementation method among the above three implementation methods is adopted for the implementation method of the first sensing measurement data according to the first configuration information.

[0114] In one embodiment, the sensing information further includes at least one of the following: the identifier of the sensing signal sending node corresponding to the second communication node, the identifier of the sensing signal received by the second communication node, the resource identifier of the sensing signal received by the second communication node, the resource set identifier of the sensing signal received by the second communication node, the position of the sensing signal sending node corresponding to the second communication node, the number of sensing reference nodes, the position of each sensing reference node, the speed of each sensing reference node, and the attribute of each sensing reference node. It should be noted that the information of the sensing reference nodes, such as their number, position, etc., can also be sent by the sensing reference nodes to the first communication node.

[0115] In one embodiment, the first sensing measurement data is the channel measurement data obtained by the second communication node. Among them, the dimensions, attributes, features, or information of the channel measurement data include at least one of the following: the number Nt of sensing signal sending nodes in the channel measurement, the number Ns of time slots in the channel measurement, the number Ns of symbols in the channel measurement, the number Nr of sensing resources in the channel measurement, the number Nr of sensing resource sets in the channel measurement, the number Na of antenna port pairs in the channel measurement, and the number Np of sampling points in the channel measurement. Among them, the sensing signal sending nodes in the channel measurement can be a group of TRPs, a group of UEs, or a group jointly composed of TRPs and UEs. A second communication node can measure the sensing signals from multiple sensing signal sending nodes.

[0116] In one embodiment, the reference time of the first sensing measurement data is T 0 +t RS . Among them, T 0 is the start time of System Frame Number (SFN) 0. t RS =(10nf + nsf)×10 - 3 , where nf represents the system frame number of the sensing signal received by the second communication node, and nsf represents the sub - frame number of the sensing signal received by the second communication node.

[0117] In one embodiment, the first configuration information includes: signal reporting mode configuration information. The signal reporting mode configuration information includes at least one of the following: the identifier of the second communication node; the identifier of the second communication node group; the identifier of the sensing signal sending node corresponding to the second communication node; the identifier of the sensing signal sending node group corresponding to the second communication node; the resource identifier of the sensing signal corresponding to the second communication node; the resource set identifier of the sensing signal corresponding to the second communication node; the resource identifier of the sensing information; the resource set identifier of the sensing information; the requirement for the delay time of the sensing information and / or the sensing signal; in the case of aperiodic reporting, the time-frequency resources for reporting the sensing information and / or the sensing signal; in the case of periodic reporting, the periodic information for reporting the sensing information and / or the sensing signal.

[0118] After receiving the sensing request, the first communication node can determine the manner in which the second communication node reports the sensing information and / or determine the manner in which the sensing signal sending node corresponding to the second communication node sends the sensing signal to the second communication node. The first communication node carries the signal reporting mode configuration information in the first configuration information. The reporting mode in this embodiment may include periodic reporting or aperiodic reporting. The aperiodic reporting mode may be an event-triggered reporting mode.

[0119] Among them, the second communication node group includes one or more second communication nodes. The sensing signal sending node group includes one or more sensing signal sending nodes. The time-frequency resources in the case of aperiodic reporting may include at least one of the following: SFN, time slot, and Orthogonal Frequency Division Multiplexing (OFDM) symbol indication. The periodic information in the case of periodic reporting includes at least one of the following: start time, duration, time offset, etc.

[0120] Exemplarily, one implementation manner of the signal reporting mode configuration information is: the sensing signal receiving node (i.e., the second communication node) ID#1, the sensing signal sending node ID#2, the sensing signal resource ID#A, the sensing signal resource set ID#B, the periodic reporting configuration (including the start time, period, number of repetitions, start time offset) of the reporting. This signal reporting mode configuration information indicates that when the sensing signal receiving node #1 receives the resource #A in the resource set #B sent by the sensing signal sending node #2, it performs periodic reporting with the given periodic configuration. The sensing information receiving / sending node may include one or more nodes, and there may also be one or more sensing signal resources / resource sets.

[0121] For another example, another implementation of the signal reporting method configuration information is as follows: Sense signal receiving node group ID #1, sense signal transmitting node group ID #2, sense signal resource group ID #A, sense signal resource set group ID #B, and aperiodic reporting configuration (including the reporting time). This signal reporting method configuration information indicates that when the sense receiving node group #1 receives the resource group #A in the resource set group #B sent by the sense transmitting node group #2, it performs aperiodic reporting according to the given configuration. There may be multiple node IDs within a node group, and there may be multiple resource / resource set IDs within a resource / resource set group.

[0122] It should be noted that the implementation methods of the first configuration information, the sensing information, and the first sensing measurement data in the above embodiments can be combined arbitrarily. For example, the first configuration information may include data requirements and / or QoS of the model to be trained. At the same time, the first configuration information can also be used to indicate the type of the sensing measurement data. For another example, the sensing information further includes: quality indication information of the first sensing measurement data, and at the same time, the sensing information can also include data tags of the first sensing measurement data.

[0123] Figure 9 It is a schematic flowchart of another information sending method provided by an embodiment. Based on the above embodiments and various optional implementation methods, this embodiment details other steps included in the information sending method. As Figure 9 shown, the information sending method provided by this embodiment further includes the following steps.

[0124] Step 901: Send second configuration information to a second communication node.

[0125] Among them, the second configuration information is used to indicate the correspondence between the sensing measurement data of the second communication node and the model identifier.

[0126] In this embodiment, the first sensing measurement data is data determined by the second communication node according to the model identifier to be trained and the second configuration information.

[0127] During the model training and inference process, it is necessary to maintain the consistency of training and inference, that is, the data used for model inference needs to be consistent with the data characteristics used for model training. During the sensing process, the characteristics of the training data can include: sensing signal configuration characteristics, sensing services, sensing modes, etc. To ensure the consistency of training and inference in sensing, it is necessary to limit different AI / ML models, that is, it is necessary to configure the correspondence between the sensing measurement data of the second communication node and the model identifier for the second communication node. Optionally, the sensing signal configuration characteristics may include at least one of the following: the period of the sensing signal, the frequency offset of the sensing signal, the OFDM symbol of the sensing signal, etc.

[0128] Optionally, the second configuration information is used to indicate at least one of the following mapping relationships.

[0129] The mapping relationship between RCS information and model identification, such as different RCS values or RCS ranges associated with different model identifications.

[0130] The mapping relationship between Doppler range and model identification, such as different Doppler values or Doppler ranges associated with different model identifications.

[0131] The mapping relationship between sensing range and model identification, such as different sensing coordinate ranges associated with different model identifications.

[0132] The mapping relationship between sensing area and model identification, such as different sensing cell areas associated with different model identifications. The cell area may include one or more cell IDs.

[0133] The mapping relationship between sensing services and model identification. Sensing services include: intrusion detection, environment reconstruction, target tracking, deformation detection, action recognition, etc. One or more sensing services are respectively associated with different model identifications. For example, the service for intrusion detection is associated with ID-1, the service for environment reconstruction is associated with ID-2, and the services for target tracking and action recognition are associated with ID-3, etc.

[0134] The mapping relationship between sensing modes and model identification. As shown above, sensing models include base station self-transmission and self-reception (single-station sensing), base station A transmission and B reception (dual-station sensing), base station transmission and terminal reception, terminal transmission and base station reception, terminal self-transmission and self-reception, terminal A transmission and B reception. One or more of the above modes can be respectively associated with different model identifications.

[0135] The mapping relationship between sensing targets and model identification. Sensing targets include people, animals, vehicles, drones, etc. One or more of the above sensing targets are respectively associated with different IDs. For example, when the sensing target is a vehicle, it is associated with ID-1, and when the sensing target is an animal, it is associated with ID-2, etc.

[0136] The mapping relationship between the second communication node and model identification. For example, different base stations / terminals are associated with different model identifications.

[0137] The mapping relationship between the second communication node group and model identification. For example, different base station groups / terminal groups are associated with different model identifications.

[0138] The mapping relationship between the range where the second communication node is located and model identification. For example, base stations / terminals in different ranges are associated with different model identifications.

[0139] The mapping relationship between the range where the sensing signal sending node corresponding to the second communication node is located and model identification. For example, sensing signal sending nodes in different ranges are associated with different model identifications.

[0140] The mapping relationship between the area where the second communication node is located and the model identifier. For example, base stations / terminals in different areas are associated with different model identifiers.

[0141] The mapping relationship between the area where the sensing signal sending node corresponding to the second communication node is located and the model identifier. For example, sensing signal sending nodes in different areas are associated with different model identifiers.

[0142] The mapping relationship between the beam information of the second communication node and the model identifier. For example, different received beam information is associated with different model identifiers, or different received angles are associated with different model identifiers.

[0143] The mapping relationship between the sensing exclusion range and the model identifier. The sensing exclusion range refers to the range within which sensing is not performed or cannot be performed. For example, different sensing exclusion coordinate ranges are associated with different model identifiers.

[0144] The mapping relationship between the sensing exclusion area and the model identifier. The sensing exclusion area refers to the area within which sensing is not performed or cannot be performed. For example, different sensing exclusion cell areas are associated with different model identifiers. The cell area can include one or more cell IDs.

[0145] The mapping relationship between the sensing exclusion node and the model identifier. The sensing exclusion node refers to the corresponding node that does not perform sensing or cannot perform sensing. In this embodiment, different exclusion base stations / exclusion terminals are associated with different model identifiers. This method can exclude the data of some malicious nodes, and the sensing measurement data sent by malicious nodes will not be used for model training.

[0146] Figure 10 It is the correspondence between the sensing area of the second communication node and the model identifier. Figure 10 In the following, the second communication node is used as the TRP for exemplary illustration. For example, Figure 10 As shown, for the same TRP, there may be two or more different sensing requirements, corresponding to different sensing areas. In this case, the first communication node can configure different associated IDs / model IDs and corresponding beam angle range requirements for the current TRP, and the TRP will report according to the given requirements and IDs when reporting. For example, model ID2 corresponds to the signal received at 15° - 165°, and model ID1 corresponds to the signal received at 195° - 345° to distinguish the sensing measurement data required by different models.

[0147] In this embodiment, the sensing information may further include the identifier of the model to be trained. That is, the sensing information includes the identifier of the model to be trained and the corresponding first sensing measurement data.

[0148] Figure 11 It is another schematic diagram of information interaction provided by an embodiment. For example, Figure 11As shown, the information interaction process includes the following steps.

[0149] Step 1101: The first communication node sends second configuration information to the second communication node.

[0150] Step 1102: The second communication node receives the second configuration information.

[0151] Step 1103: The first communication node sends first configuration information to the second communication node.

[0152] Step 1104: The second communication node receives the first configuration information sent by the first communication node.

[0153] Step 1105: The second communication node determines sensing information according to the first configuration information.

[0154] Step 1106: The second communication node sends the sensing information to the first communication node.

[0155] Step 1107: The first communication node receives the sensing information sent by the second communication node according to the first configuration information.

[0156] The information sending method provided in this embodiment realizes the correspondence between the sensing measurement data and the model identifier of the second communication node, so that the first sensing measurement data corresponding to the model to be trained can be obtained, ensuring the consistency of the data in the training process and the data in the inference process. Thus, the sensing accuracy is further improved.

[0157] Figure 12 It is a schematic flowchart of another information sending method provided by an embodiment. On the basis of the above embodiment and various optional implementation manners, other steps included in the information sending method are described in detail. As Figure 12 As shown, the information sending method provided in this embodiment further includes the following steps.

[0158] Step 1201: When it is determined that the first sensing measurement data cannot meet the training requirements of training the model to be trained, send signal reporting method update configuration information to the second communication node.

[0159] If the first communication node finds that the received first sensing measurement data is insufficient to meet the training requirements of the model to be trained, it can send signal reporting method update configuration information to the second communication node.

[0160] Optionally, the signal reporting mode update configuration information includes at least one of the following: the identifier of the sensing signal sending node corresponding to the second communication node; the identifier of the updated sensing signal sending node corresponding to the second communication node, that is, which sensing signal sending nodes are still required to send sensing signals in the configuration; in the scenario of periodic reporting, the updated period information of the sensing measurement data and / or the sensing signal reporting; the quality requirement of the sensing measurement data; the sensing signals of the first path and multiple additional paths of the sensing signal sending node corresponding to the second communication node; the sensing measurement data of the first path and multiple additional paths of the second communication node; the power threshold of the sampling points of the sensing signal corresponding to the second communication node. If the power of a sampling point of a sensing signal is less than this power threshold, the sensing measurement data corresponding to this sensing signal will not be reported to the first communication node; the power threshold of the sampling points of the sensing measurement data. If the power of a sampling point of a sensing measurement data is less than this power threshold, the sensing measurement data will not be reported to the first communication node.

[0161] Step 1202: Receive the second sensing measurement data sent by the second communication node according to the signal reporting mode update configuration information.

[0162] Among them, the first sensing measurement data and the second sensing measurement data are used to train the to-be-trained model corresponding to the to-be-trained model identifier to obtain a sensing model.

[0163] In this embodiment, after receiving the signal reporting mode update configuration information, the second communication node can feedback the second sensing measurement data to the first communication node.

[0164] The first communication node can combine the first sensing measurement data and the second sensing measurement data to train the to-be-trained model to obtain a sensing model.

[0165] Figure 13 It is another information interaction schematic diagram provided by an embodiment. As Figure 13 shown, the information interaction process provided by this embodiment includes the following steps.

[0166] Step 1301: When it is determined that the first sensing measurement data cannot meet the training requirements for training the to-be-trained model, the first communication node sends the signal reporting mode update configuration information to the second communication node.

[0167] Step 1302: The second communication node receives the signal reporting mode update configuration information.

[0168] Step 1303: The second communication node determines the second sensing measurement data according to the signal reporting mode update configuration information.

[0169] Step 1304: The second communication node sends the second sensing measurement data to the first communication node.

[0170] Step 1305: The first communication node receives the second sensing measurement data.

[0171] Step 1306: The first communication node combines the first sensing measurement data and the second sensing measurement data to train the model to be trained, so as to obtain a sensing model.

[0172] The information sending method provided in this embodiment can be implemented to configure the second communication node to obtain the second sensing measurement data when the first sensing measurement data cannot meet the training requirements of the model to be trained, so as to combine the first sensing measurement data and the second sensing measurement data to train the model to be trained and obtain a sensing model. Therefore, the sensing accuracy of the sensing model is further improved.

[0173] Figure 14 It is a schematic flowchart of still another information sending method provided in an embodiment. On the basis of the above embodiment and various optional implementation manners, other steps included in the information sending method are described in detail. As Figure 14 shown, the information sending method further includes the following steps.

[0174] Step 1401: Receive the request assistance information sent by the second communication node.

[0175] The second communication node may send the request assistance information to the first communication node. The first communication node receives the request assistance information.

[0176] Step 1402: Send the assistance information to the second communication node according to the request assistance information.

[0177] Optionally, the assistance information may be carried in the provided assistance information. The assistance information in this embodiment can be used for an AI / ML model or for a general sensing process.

[0178] Among them, the assistance information includes at least one of the following: the relevant information of the sensing signal corresponding to the second communication node, the relevant information of the sensing signal preferentially measured in the sensing signal corresponding to the second communication node, the relevant information of the sending node of the sensing signal corresponding to the second communication node, and the type of the assistance information.

[0179] Optionally, the relevant information of the sensing signal includes the uplink sensing signal, such as the configuration information of the sounding reference signal (SRS), so that the sensing signal receiving node (i.e., the second communication node) for receiving the sensing signal sent by the UE can understand the configuration information of the sensing signal. The relevant information of the preferentially measured sensing signal may include at least one of the following: the transmission ID of the sensing signal, the resource ID, and the resource set ID. The relevant information of the sensing signal sending node includes at least one of the following: the location information of the sensing signal sending node, the beam information of the uplink / downlink sensing signal, the synchronization information of the UE / TRP, the beam antenna information of the UE / TRP, the LOS / NLOS assistance information, the timing error group (TEG) information of the uplink / downlink sensing signal, etc. The type of the assistance information may include the uplink sensing signal, indicating that the provided assistance information is for the uplink sensing signal.

[0180] After receiving the assistance information, the second communication node can understand the configuration information of the sensing signal according to the assistance information, so as to determine the sensing measurement data according to the sensing signal subsequently.

[0181] Figure 15 It is another schematic diagram of information interaction provided by an embodiment. As Figure 15 shown, the information interaction process provided by this embodiment includes the following steps.

[0182] Step 1501: The second communication node sends a request for assistance information to the first communication node.

[0183] Step 1502: The first communication node receives the request for assistance information sent by the second communication node.

[0184] Step 1503: The first communication node sends the assistance information to the second communication node according to the request for assistance information.

[0185] If the assistance information cannot be sent successfully at one time due to reasons such as a large amount of data of the assistance information, etc., step 1504 may further be included: The first communication node sends additional assistance information to the second communication node.

[0186] The additional assistance information may also be carried in one or more additional assistance information.

[0187] The transmitted assistance information or the additional assistance information in this embodiment should match the assistance information requested in the request for assistance information in step 1501 or be a subset of the requested assistance information.

[0188] Optionally, the first communication node may also provide the second communication node with any unrequested information that it deems useful to the second communication node.

[0189] The information sending method provided in this embodiment can configure auxiliary information for the second communication node by receiving the requested auxiliary information sent by the second communication node and sending the auxiliary information to the second communication node according to the requested auxiliary information. The second communication node can understand the configuration information of the sensing signal based on the auxiliary information, so as to subsequently determine the sensing measurement data according to the sensing signal, realizing the reliable determination of the sensing measurement data.

[0190] Figure 16 It is a schematic flowchart of another information sending method provided in an embodiment. Based on the above embodiment and various optional implementation manners, this embodiment details other steps included in the information sending method. As Figure 16 shown, the information sending method provided in this embodiment further includes the following steps.

[0191] Step 1601: Receive a preset threshold sent by the service side or the sensing service request entity.

[0192] Wherein, the preset threshold is used to evaluate the inference result of the sensing model.

[0193] The information sending method provided in this embodiment is used to implement model monitoring. Model monitoring refers to evaluating the performance of an AI / ML model. For sensing, the metrics for measuring the performance of an AI / ML model can be model reliability, that is, the proportion of QoS sensing requests that are satisfied.

[0194] In this embodiment, the service side or the sensing service request entity can send a preset threshold to the first communication node. The first communication node receives the preset threshold. This preset threshold is used for subsequent model monitoring.

[0195] Optionally, the preset threshold in this embodiment is used to indicate the position difference threshold of the sensing target or the speed difference threshold of the sensing target.

[0196] Step 1602: Send evaluation result indication information to the service side or the sensing service request entity.

[0197] Wherein, the evaluation result indication information is used to indicate whether the difference degree between the inference result and the true sensing result meets the preset threshold.

[0198] In this embodiment, the first communication node trains the model to be trained according to the first sensing measurement data to obtain a sensing model. After obtaining the sensing model, the first communication node can implement model monitoring in the following manner: input each third sensing measurement data into the sensing model to obtain an inference result; determine the evaluation result of the sensing model according to multiple inference results.

[0199] The third perception measurement data in this embodiment is the input data for model inference. It can be understood that the characteristics of the first perception measurement data are consistent with those of the third perception measurement data.

[0200] In one implementation, when determining the evaluation result of the perception model based on multiple inference results, it can be achieved in the following way: Determine the evaluation result of the perception model according to the number of inference results within the range corresponding to the QoS requirement.

[0201] Optionally, the method further includes the following steps: When the inference result includes a perception result and a confidence level, determine the range of the inference result according to the perception result and the confidence level, and determine the number of inference results within the range corresponding to the QoS requirement according to the range of the inference result and the range corresponding to the QoS requirement. Among them, the range corresponding to the QoS requirement can be the range specified by the perception server request node, or the range determined by the first communication node based on the QoS requirement and a preset threshold.

[0202] Figure 17 It is a schematic diagram of the positional relationship between an inference result and the range corresponding to the QoS requirement provided by an embodiment. As Figure 17 shown, assume that the range corresponding to the QoS requirement is the first area 171, and the range of the inference result is the second area 172. Figure 17 Three situations are shown: The second area 172 is located within the first area 171, indicating that the inference result meets the requirement; a part of the second area 172 is located within the first area 171, indicating that the inference result partially meets the requirement; the second area 172 is located outside the first area 171, indicating that the inference result does not meet the requirement. When the inference result partially meets the requirement, the first communication node can determine the final result according to the final implementation behavior.

[0203] In another implementation, when determining the evaluation result of the perception model based on multiple inference results, it can be achieved in the following way: Determine the evaluation result of the perception model according to whether the degree of difference between the true perception result and each inference result meets a preset threshold, where the preset threshold is used to indicate the position difference threshold of the perception target or the speed difference threshold of the perception target.

[0204] Optionally, the method further includes the following steps: When the inference result includes a perception result, determine the range of the true perception result according to the true perception result and the preset threshold, and determine whether the degree of difference between the true perception result and each inference result meets the preset threshold according to the range of the true perception result and the positional relationship of the inference result.

[0205] Optionally, the perception result may include information such as the position and speed of the perception target.

[0206] Figure 18It is a schematic diagram showing the positional relationship between another inference result and the true perception result provided by an embodiment. As Figure 18 shown, assuming that the range of the true perception result is the third region 181, Figure 18 two situations are shown in : the inference result 182 is located within the third region 181, indicating that the inference result meets the perception requirement; the inference result 182 is located outside the third region 181, indicating that the inference result does not meet the perception requirement.

[0207] After the second communication node performs model evaluation, it can send evaluation result indication information to the service side or the perception service request entity.

[0208] Optionally, the information sending method provided in this embodiment may further include the following step 1603.

[0209] Step 1603: Receive the monitoring requirement configuration information sent by the service side or the perception service request entity.

[0210] Among them, the monitoring requirement configuration information includes at least one of the following: the start time and period of model monitoring, the response time of model monitoring, the number of inferences required for each model monitoring, and the timeliness of each model monitoring. It can be understood that the monitoring requirement configuration information can be used to configure requirements such as the period, frequency, and timeliness of model monitoring.

[0211] For the periodic model monitoring configuration, the monitoring requirement configuration information includes the start time and period of model monitoring. For the event-triggered model monitoring configuration, the monitoring requirement configuration information includes the response time of model monitoring. The number of inferences required for each model monitoring refers to how many times the model inference needs to be executed to count the reliability once. The timeliness of each model monitoring refers to the inference results within how long are used for model monitoring, that is, the perception results that are far from the current time will not be used for calculating the model monitoring metrics.

[0212] After receiving the monitoring requirement configuration information, the first communication node can perform model monitoring according to the monitoring requirement configuration information.

[0213] Figure 19 It is another schematic diagram of information interaction provided by an embodiment. As Figure 19 shown, the information interaction process provided in this embodiment includes the following steps.

[0214] Step 1901: The service side or the perception service request entity sends a preset threshold to the first communication node.

[0215] Step 1902: The first communication node receives the preset threshold.

[0216] Step 1903: The service side or the entity perceiving the service request sends monitoring requirement configuration information to the first communication node.

[0217] Step 1904: The first communication node receives the monitoring requirement configuration information.

[0218] Step 1905: The first communication node performs model monitoring to obtain evaluation result indication information.

[0219] Step 1906: The first communication node sends the evaluation result indication information to the service side or the entity perceiving the service request.

[0220] Step 1907: The service side or the entity perceiving the service request receives the evaluation result indication information.

[0221] The information sending method provided in this embodiment can implement the monitoring of the perception model, and further improve the perception accuracy.

[0222] Figure 20 It is a schematic flowchart of an information receiving method provided by an embodiment. The information receiving method provided in this embodiment is applicable to the second communication node. The method includes the following steps.

[0223] Step 2001: Receive the first configuration information sent by the first communication node.

[0224] Step 2002: Determine the perception information according to the first configuration information.

[0225] Among them, the perception information includes first perception measurement data.

[0226] Step 2003: Send the perception information to the first communication node.

[0227] In one embodiment, the first configuration information is used to indicate the identity of the model to be trained.

[0228] In one embodiment, the first perception measurement data is used to train the model to be trained to obtain a perception model.

[0229] In one embodiment, the information receiving method further includes the following steps: Receive the second configuration information sent by the first communication node. Among them, the second configuration information is used to indicate the correspondence between the perception measurement data of the second communication node and the model identity.

[0230] Correspondingly, in step 2002, the second communication node determines the first perception measurement data according to the identity of the model to be trained and the second configuration information.

[0231] In one embodiment, the information receiving method further includes the following steps: receiving the signal reporting mode update configuration information sent by the first communication node; determining the second sensing measurement data according to the signal reporting mode update configuration information; and sending the second sensing measurement data to the first communication node. The signal reporting mode update configuration information is sent by the first communication node when it determines that the first sensing measurement data cannot meet the training requirements of the to-be-trained model. The first sensing measurement data and the second sensing measurement data are used to train the to-be-trained model corresponding to the to-be-trained model identifier to obtain a sensing model.

[0232] In one embodiment, the information receiving method further includes the following steps: sending a request for auxiliary information to the first communication node; and receiving the auxiliary information sent by the first communication node according to the request for auxiliary information. The auxiliary information includes at least one of the following: information related to the sensing signal corresponding to the second communication node, information related to the sensing signal preferentially measured in the sensing signals corresponding to the second communication node, information related to the sending node of the sensing signal corresponding to the second communication node, and the type of the auxiliary information.

[0233] The implementation manners of the first configuration information, sensing information, first sensing measurement data, second configuration information reporting mode update configuration information, and other information or data involved in this embodiment are similar to those of the corresponding information or data in the above embodiment, and will not be elaborated here.

[0234] The information receiving method provided in this embodiment has similar technical effects to the information sending method in the above embodiment, and will not be elaborated here.

[0235] This embodiment further provides a sensing method, which is applied to a sensing signal receiving node. The method includes: collecting corresponding sensing measurement data according to a pre-configured model identifier or associated identifier; training the to-be-trained model corresponding to the pre-configured model identifier or associated identifier according to the sensing measurement data to obtain a sensing model. After obtaining the sensing model, the sensing signal receiving node can perform model inference based on the sensing model.

[0236] The sensing method provided in this embodiment can implement sensing based on the sensing model, improving the sensing accuracy.

[0237] Figure 21 It is a schematic structural diagram of an information sending device provided in an embodiment. The information sending device provided in this embodiment is disposed in the first communication node. As Figure 21 shown, the information sending device includes the following modules: a first sending module 211 and a first receiving module 212.

[0238] The first sending module 211 is configured to send the first configuration information to the second communication node.

[0239] The first receiving module 212 is configured to receive the sensing information sent by the second communication node according to the first configuration information. The sensing information includes first sensing measurement data.

[0240] In one embodiment, the first configuration information is used to indicate an identity of a model to be trained.

[0241] In one embodiment, the first sensing measurement data is used to train the model to be trained to obtain a sensing model.

[0242] In one embodiment, the first sending module 211 is further configured to send second configuration information to the second communication node. The second configuration information is used to indicate the correspondence between the sensing measurement data of the second communication node and the model identity.

[0243] In one embodiment, the first sensing measurement data is data determined by the second communication node according to the identity of the model to be trained and the second configuration information.

[0244] In one embodiment, the second configuration information is used to indicate at least one of the following mapping relationships: the mapping relationship between RCS information and the model identity; the mapping relationship between the Doppler range and the model identity; the mapping relationship between the sensing range and the model identity; the mapping relationship between the sensing area and the model identity; the mapping relationship between the sensing service and the model identity; the mapping relationship between the sensing mode and the model identity; the mapping relationship between the sensing target and the model identity; the mapping relationship between the second communication node and the model identity; the mapping relationship between the second communication node group and the model identity; the mapping relationship between the range where the second communication node is located and the model identity; the mapping relationship between the range where the sensing signal sending node corresponding to the second communication node is located and the model identity; the mapping relationship between the area where the second communication node is located and the model identity; the mapping relationship between the area where the sensing signal sending node corresponding to the second communication node is located and the model identity; the mapping relationship between the beam information of the second communication node and the model identity; the mapping relationship between the sensing exclusion range and the model identity; the mapping relationship between the sensing exclusion area and the model identity; the mapping relationship between the sensing exclusion node and the model identity.

[0245] In one embodiment, the first configuration information includes data requirements and / or the QoS of the model to be trained. The sensing information further includes: quality indication information of the first sensing measurement data. The quality indication information is used to indicate whether the first sensing measurement data meets the data requirements and / or the QoS of the model to be trained.

[0246] In one embodiment, the first receiving module 212 is further configured to receive a sensing request sent by a sensing service request entity. The apparatus further includes a first determining module, configured to determine the first configuration information according to the sensing request.

[0247] In one embodiment, the sensing request includes at least one of the following: a sensing area, a sensing scenario, a sensing type, and a sensing requirement.

[0248] In one embodiment, the first configuration information is used to indicate the type of sensing measurement data; wherein, the type of the sensing measurement data includes at least one of the following: a channel impulse response, channel power delay information, and channel delay information.

[0249] In one embodiment, the first configuration information is used to indicate the type of the data tag of the sensing measurement data. The sensing information further includes the data tag of the first sensing measurement data.

[0250] Wherein, the data tag of the first sensing measurement data includes at least one of the following: a region identifier of the sensing area, an indication information for indicating whether there is a sensing target in the sensing area, the number of sensing targets in the sensing area, the position information of each sensing target, the speed information of each sensing target, the horizontal position of each sensing target, the vertical position of each sensing target, the speed accuracy of each sensing target, the shape of each sensing target, the attribute of each sensing target, the RCS information of each sensing target, the valid time of the data tag, the identifier of the sensing target, the position information of the sensing target, the speed information of the sensing target, the horizontal position of the sensing target, the vertical position of the sensing target, the speed accuracy of the sensing target, the shape of the sensing target, the attribute of the sensing target, the RCS information of the sensing target; or, the data tag of the first sensing measurement data includes measurement information.

[0251] In one embodiment, the first configuration information is used to indicate the quantity and / or proportion of the sensing measurement data with data tags; or, the first configuration information is used to indicate the quantity and / or proportion of the sensing measurement data without data tags; or, the first configuration information is used to indicate that the sensing measurement data has data tags; or, the first configuration information is used to indicate that the sensing measurement data does not have data tags.

[0252] In one embodiment, the first sensing measurement data includes: only channel measurement data of the environment and channel measurement data in an environment with one or more sensing reference nodes; or, the first sensing measurement data includes: one or more differential measurement data, wherein each differential measurement data is the differential data between the channel measurement data in an environment with a sensing reference node and the channel measurement data of only the environment; or, the first sensing measurement data includes: one or more channel measurement data in an environment with a sensing reference node.

[0253] In one embodiment, the sensing information further includes at least one of the following: the identifier of the sensing signal sending node corresponding to the second communication node, the identifier of the sensing signal received by the second communication node, the resource identifier of the sensing signal received by the second communication node, the resource set identifier of the sensing signal received by the second communication node, the location of the sensing signal sending node corresponding to the second communication node, the number of sensing reference nodes, the location of each sensing reference node, the speed of each sensing reference node, and the attribute of each sensing reference node.

[0254] In one embodiment, the first sensing measurement data is the channel measurement data obtained by the second communication node; wherein, the dimension, attribute, feature, or information of the channel measurement data includes at least one of the following: the number of sensing signal sending nodes in the channel measurement, the number of time slots in the channel measurement, the number of symbols in the channel measurement, the number of sensing resources in the channel measurement, the number of sensing resource sets in the channel measurement, the number of antenna port pairs in the channel measurement, and the number of sampling points in the channel measurement.

[0255] In one embodiment, the reference time of the first sensing measurement data is T 0 +t RS ; wherein, T 0 is the start time of SFN0, and t RS =(10nf + nsf)×10- 3 , where nf represents the system frame number of the sensing signal received by the second communication node, and nsf represents the sub-frame number of the sensing signal received by the second communication node.

[0256] In one embodiment, the first configuration information includes: signal reporting method configuration information. The signal reporting method configuration information includes at least one of the following: the identifier of the second communication node; the identifier of the second communication node group; the identifier of the sensing signal sending node corresponding to the second communication node; the identifier of the sensing signal sending node group corresponding to the second communication node; the resource identifier of the sensing signal corresponding to the second communication node; the resource set identifier of the sensing signal corresponding to the second communication node; the resource identifier of the sensing information; the resource set identifier of the sensing information; the requirement for the delay time of the sensing information and / or the sensing signal; in the case of non-periodic reporting, the time-frequency resources for reporting the sensing information and / or the sensing signal; in the case of periodic reporting, the period information for reporting the sensing information and / or the sensing signal.

[0257] In one embodiment, the first sending module 211 is further configured to send signal reporting mode update configuration information to the second communication node when it is determined that the first sensing measurement data cannot meet the training requirements of the to-be-trained model. The first receiving module 212 is further configured to receive second sensing measurement data sent by the second communication node according to the signal reporting mode update configuration information. The first sensing measurement data and the second sensing measurement data are used to train the to-be-trained model corresponding to the to-be-trained model identifier to obtain a sensing model.

[0258] In one embodiment, the signal reporting mode update configuration information includes at least one of the following: the identifier of the sensing signal sending node corresponding to the second communication node; the identifier of the updated sensing signal sending node corresponding to the second communication node; in the scenario of periodic reporting, the updated period information of the sensing measurement data and / or the sensing signal reporting; the quality requirement of the second sensing measurement data; the sensing signals of the first path and multiple additional paths of the sensing signal sending node corresponding to the second communication node; the sensing measurement data of the first path and multiple additional paths of the second communication node; the power threshold of the sampling points of the sensing signal corresponding to the second communication node; the power threshold of the sampling points of the sensing measurement data.

[0259] In one embodiment, the first receiving module 212 is further configured to receive request assistance information sent by the second communication node. The first sending module 211 is further configured to send assistance information to the second communication node according to the request assistance information. The assistance information includes at least one of the following: the relevant information of the sensing signal corresponding to the second communication node, the relevant information of the sensing signal preferentially measured in the sensing signals corresponding to the second communication node, the relevant information of the sensing signal sending node corresponding to the second communication node, the type of the assistance information.

[0260] In one embodiment, the device further includes a model evaluation module, which is configured to: train the to-be-trained model according to the first sensing measurement data to obtain a sensing model; input each third sensing measurement data into the sensing model to obtain an inference result; and determine the evaluation result of the sensing model according to multiple inference results.

[0261] In one embodiment, in terms of determining the evaluation result of the sensing model according to multiple inference results, the model evaluation module is configured to: determine the evaluation result of the sensing model according to the number of inference results within the range corresponding to the QoS requirement; or determine the evaluation result of the sensing model according to whether the difference degree between the true sensing result and each inference result meets a preset threshold, where the preset threshold is used to indicate the position difference threshold of the sensing target or the speed difference threshold of the sensing target.

[0262] In one embodiment, the device further includes a first determination module, configured to: when the inference result includes a perception result and a confidence level, determine the range of the inference result according to the perception result and the confidence level, and determine the number of inference results within the range corresponding to the QoS requirement according to the range of the inference result and the range corresponding to the QoS requirement. Alternatively, the first determination module is configured to: when the inference result includes a perception result, determine the range of the true perception result according to the true perception result and the preset threshold, and determine whether the degree of difference between the true perception result and each inference result meets the preset threshold according to the range of the true perception result and the positional relationship between the inference results.

[0263] In one embodiment, the first receiving module 212 is further configured to receive a preset threshold sent by the service side or the perception service request entity. The preset threshold is used to evaluate the inference result of the perception model. The first sending module 211 is further configured to send evaluation result indication information to the service side or the perception service request entity. The evaluation result indication information is used to indicate whether the degree of difference between the inference result and the true perception result meets the preset threshold.

[0264] In one embodiment, the first receiving module 212 is further configured to receive monitoring requirement configuration information sent by the service side or the perception service request entity. The monitoring requirement configuration information includes at least one of the following: the start time and period of model monitoring, the response time of model monitoring, the number of inferences required for each model monitoring, and the timeliness of each model monitoring.

[0265] The information sending device provided in this embodiment can implement the information sending method in the above embodiment, and the implementation principle and technical effects are similar to those in the above embodiment, which will not be elaborated here.

[0266] Figure 22 It is a schematic structural diagram of the information receiving device provided in one embodiment. The information receiving device provided in this embodiment is disposed in the second communication node. As Figure 22 shown, the information receiving device provided in this embodiment includes the following modules: a second receiving module 221, a second determination module 222, and a second sending module 223.

[0267] The second receiving module 221 is configured to receive the first configuration information sent by the first communication node.

[0268] The second determination module 222 is configured to determine the perception information according to the first configuration information.

[0269] The second sending module 223 is configured to send the perception information to the first communication node.

[0270] Among them, the perception information includes first perception measurement data.

[0271] In one embodiment, the first configuration information is used to indicate the identification of the model to be trained.

[0272] In one embodiment, the first perception measurement data is used to train the model to be trained to obtain a perception model.

[0273] In one embodiment, the second receiving module 221 is further configured to receive second configuration information sent by the first communication node. The second configuration information is used to indicate the correspondence between the perception measurement data of the second communication node and the model identification.

[0274] Correspondingly, the second determination module 222 is configured to determine the first perception measurement data according to the identification of the model to be trained and the second configuration information.

[0275] In one embodiment, the second receiving module 221 is further configured to receive configuration information for updating the signal reporting method sent by the first communication node. The second determination module 222 is further configured to determine the second perception measurement data according to the configuration information for updating the signal reporting method. The second sending module 223 is further configured to send the second perception measurement data to the first communication node. The configuration information for updating the signal reporting method is sent by the first communication node when it determines that the first perception measurement data cannot meet the training requirements for training the model to be trained. The first perception measurement data and the second perception measurement data are used to train the model to be trained corresponding to the identification of the model to be trained to obtain a perception model.

[0276] In one embodiment, the second sending module 223 is further configured to send a request for auxiliary information to the first communication node. The second receiving module 221 is further configured to receive the auxiliary information sent by the first communication node according to the request for auxiliary information. The auxiliary information includes at least one of the following: information related to the perception signal corresponding to the second communication node, information related to the perception signal preferentially measured in the perception signals corresponding to the second communication node, information related to the sending node of the perception signal corresponding to the second communication node, and the type of the auxiliary information.

[0277] The information receiving device provided in this embodiment can implement the information receiving method in the above embodiment, and the implementation principle and technical effects are similar to those in the above embodiment, which will not be elaborated here.

[0278] An embodiment of the present application further provides a communication node, including: a processor, which is configured to implement the method provided in any embodiment of the present application when executing a computer program. Specifically, the communication node may be a first communication node or a second communication node. The first communication node includes: a processor, which is configured to implement the information sending method provided in any embodiment of the present application when executing a computer program; the second communication node includes: a processor, which is configured to implement the information receiving method provided in any embodiment of the present application when executing a computer program.

[0279] Figure 23 is a schematic structural diagram of a communication node provided by an embodiment. As Figure 23 shown, the communication node includes a processor 60, a memory 61, and a communication interface 62; the number of processors 60 in the communication node may be one or more, Figure 23 taking one processor 60 as an example; the processor 60, the memory 61, and the communication interface 62 in the communication node may be connected through a bus or other means, Figure 23 taking connection through a bus as an example. The bus represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any bus structure in a variety of bus structures.

[0280] The memory 61, as a computer-readable storage medium, may be set to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the methods in the embodiments of the present application. The processor 60 executes at least one functional application and data processing of the communication node by running the software programs, instructions, and modules stored in the memory 61, that is, implements the above-mentioned method.

[0281] The memory 61 may include a program storage area and a data storage area. Among them, the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 61 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state storage devices. In some instances, the memory 61 may include a memory remotely provided with respect to the processor 60, and these remote memories may be connected to the communication node through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a network, a mobile communication network, and combinations thereof.

[0282] The communication interface 62 may be set to receive and send data.

[0283] An embodiment of the present application further provides a communication system, including the above-mentioned first communication node and second communication node.

[0284] An embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the method provided by any embodiment of the present application is implemented.

[0285] The computer storage medium of the embodiment of the present application may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. The computer-readable storage medium includes (a non-exhaustive list): an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an electrically erasable, programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or in combination with an instruction execution system, apparatus, or device.

[0286] The computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, and the data signal carries computer-readable program code. Such a propagated data signal may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium may also be any computer-readable medium other than the computer-readable storage medium, and the computer-readable medium may send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device.

[0287] The program code contained on the computer-readable medium may be transmitted by any appropriate medium, including but not limited to wireless, wire, optical cable, radio frequency (RF), etc., or any suitable combination of the above.

[0288] Computer program code for performing the operations of this disclosure may be written in one or more programming languages or a combination of multiple programming languages. The programming languages include object-oriented programming languages (such as Java, Smalltalk, C++, Ruby, Go), and also include conventional procedural programming languages (such as the "C" language or similar programming languages). The program code may be executed entirely on the user's computer, partially on the user's computer, executed as a stand-alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network (including a Local Area Network (LAN) or a Wide Area Network (WAN)), or may be connected to an external computer (for example, by connecting through the Internet using an Internet service provider).

[0289] Those skilled in the art should understand that the term user terminal encompasses any suitable type of wireless user equipment, such as a mobile phone, a portable data processing device, a portable network browser, or a vehicle-mounted mobile station.

[0290] In general, various embodiments of this application may be implemented in hardware or dedicated circuits, software, logic, or any combination thereof. For example, some aspects may be implemented in hardware, while other aspects may be implemented in firmware or software that can be executed by a controller, a microprocessor, or other computing devices, although this application is not limited thereto.

[0291] Embodiments of this application may be implemented by a data processor of a mobile device executing computer program instructions, for example, in a processor entity, or by hardware, or by a combination of software and hardware. The computer program instructions may be assembly instructions, Instruction Set Architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, status setting data, or source code or object code written in any combination of one or more programming languages.

[0292] Any block diagram of a logical process in the accompanying drawings of the present application may represent program steps, or may represent interconnected logical circuits, modules and functions, or may represent a combination of program steps and logical circuits, modules and functions. A computer program may be stored on a memory. The memory may have any type suitable for the local technical environment and may be implemented using any suitable data storage technology, such as but not limited to read-only memory (ROM), random access memory (RAM), optical memory devices and systems (digital versatile disc DVD or CD disc), etc. The computer-readable medium may include a non-transitory storage medium. The data processor may be of any type suitable for the local technical environment, such as but not limited to general-purpose computers, special-purpose computers, microprocessors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), and processors based on multi-core processor architectures.

Claims

1. A method for sending information, characterized in that: Applied to a first communication node, the method comprises: Sending first configuration information to the second communication node; Receive perception information sent by the second communication node according to the first configuration information; wherein the perception information includes first perception measurement data.

2. The method according to claim 1, characterized in that The first configuration information is used to indicate the identifier of the model to be trained.

3. The method according to claim 1, characterized in that The first perception measurement data is used to train the model to be trained to obtain a perception model.

4. The method according to claim 2, characterized in that: The method further comprises: Sending second configuration information to the second communication node; wherein the second configuration information is used to indicate a correspondence between the perception measurement data of the second communication node and the model identifier.

5. The method according to claim 4, characterized in that The first perception measurement data is data determined by the second communication node according to the identifier of the model to be trained and the second configuration information.

6. The method according to claim 4, characterized in that The second configuration information is used to indicate at least one of the following mapping relationships: The mapping relationship between radar cross section (RCS) information and model identification; The mapping relationship between Doppler range and model identification; The mapping relationship between perception scope and model identification; The mapping relationship between the perception area and the model identifier; Perceive the mapping relationship between business and model identifier; The mapping relationship between perception patterns and model identifiers; The mapping relationship between the perception target and the model identifier; A mapping relationship between a second communication node and a model identifier; A mapping relationship between the second communication node group and the model identifier; A mapping relationship between a range where the second communication node is located and a model identifier; A mapping relationship between a range of a sensing signal sending node corresponding to the second communication node and a model identifier; A mapping relationship between the area where the second communication node is located and the model identifier; A mapping relationship between an area where a sensing signal sending node corresponding to the second communication node is located and a model identifier; A mapping relationship between the beam information of the second communication node and the model identifier; The mapping relationship between the perceived exclusion range and the model identifier; The mapping relationship between the perceived exclusion area and the model identifier; The mapping relationship between perceived exclusion nodes and model identifiers.

7. The method according to claim 1, characterized in that The first configuration information includes data requirements and / or quality of service (QoS) of the model to be trained; The perception information further includes: quality indication information of the first perception measurement data; wherein the quality indication information is used to indicate whether the first perception measurement data meets the data requirement and / or the QoS of the model to be trained.

8. The method according to claim 1, characterized in that The method further comprises: Receiving a sensing request sent by a sensing service requesting entity; Determine the first configuration information according to the perception request.

9. The method according to claim 7, characterized in that: The perception request includes at least one of the following: a perception area, a perception scene, a perception type, and a perception requirement.

10. The method according to claim 1, characterized in that The first configuration information is used to indicate a type of perception measurement data; wherein the type of perception measurement data includes at least one of the following: channel impulse response, channel power delay information, and channel delay information.

11. The method according to claim 1, characterized in that: The first configuration information is used to indicate the type of the data tag of the sensing measurement data; The perception information also includes a data label of the first perception measurement data; Wherein, the data tag of the first perception measurement data includes at least one of the following: an area identifier of the perception area, indication information for indicating whether there is a perception target in the perception area, the number of perception targets in the perception area, the position information of each perception target, the speed information of each perception target, the horizontal position of each perception target, the vertical position of each perception target, the speed accuracy of each perception target, the shape of each perception target, the attribute of each perception target, the RCS information of each perception target, the valid time of the data tag, the identifier of the perception target, the position information of the perception target, the speed information of the perception target, the horizontal position of the perception target, the vertical position of the perception target, the speed accuracy of the perception target, the shape of the perception target, the attribute of the perception target, and the RCS information of the perception target; or, The data tag of the first perception measurement data includes measurement information.

12. The method according to claim 1, characterized in that The first configuration information is used to indicate the quantity and / or proportion of the sensing measurement data with data tags; or, The first configuration information is used to indicate the quantity and / or proportion of the sensing measurement data without data tags; or, The first configuration information is used to indicate that the perception measurement data has a data tag; or, The first configuration information is used to indicate that the perception measurement data does not carry a data label.

13. The method according to claim 1, characterized in that The first sensing measurement data includes: channel measurement data of only the environment and channel measurement data of one or more environments with sensing reference nodes; or, The first sensing measurement data includes: one or more differential measurement data, wherein each differential measurement data is differential data between channel measurement data in an environment with a sensing reference node and channel measurement data in only the environment; or, The first perception measurement data includes: channel measurement data in an environment with one or more perception reference nodes.

14. The method according to claim 1, characterized in that The perception information also includes at least one of the following: an identifier of a perception signal sending node corresponding to the second communication node, an identifier of a perception signal received by the second communication node, a resource identifier of the perception signal received by the second communication node, a resource set identifier of the perception signal received by the second communication node, a position of a perception signal sending node corresponding to the second communication node, the number of perception reference nodes, the position of each perception reference node, the speed of each perception reference node, and an attribute of each perception reference node.

15. The method according to claim 1, characterized in that The first perception measurement data is channel measurement data obtained by the second communication node; wherein, the dimension, attribute, characteristic or information of the channel measurement data includes at least one of the following: the number of perception signal sending nodes in channel measurement, the number of time slots in channel measurement, the number of symbols in channel measurement, the number of perception resources in channel measurement, the number of perception resource sets in channel measurement, the number of antenna port pairs in channel measurement, and the number of sampling points in channel measurement.

16. The method according to claim 1, characterized in that The reference time of the first perception measurement data is T0+t RS ; Where T0 is the start time of the system frame number SFN0, t RS =(10nf+nsf)×10- 3 , nf represents the system frame number of the perception signal received by the second communication node, and nsf represents the subframe number of the perception signal received by the second communication node.

17. The method according to claim 1, characterized in that The first configuration information includes: signal reporting mode configuration information; The signal reporting mode configuration information includes at least one of the following: an identifier of a second communication node; An identifier of the second communication node group; An identifier of a perception signal sending node corresponding to the second communication node; An identifier of the perception signal sending node group corresponding to the second communication node; A resource identifier of the perception signal corresponding to the second communication node; A resource set identifier of the sensing signal corresponding to the second communication node; Resource identification of perceived information; Resource set identifier of the perception information; the need to perceive information and / or the latency of perceived signals; In the scenario of non-periodic reporting, the time and frequency resources for reporting the sensing information and / or sensing signals; In the scenario of periodic reporting, the periodic information of the sensing information and / or sensing signal reporting.

18. The method according to claim 1, characterized in that The method further comprises: When it is determined that the first perception measurement data cannot meet the training requirement of training the model to be trained, sending a signal reporting mode update configuration information to the second communication node; Receive second perception measurement data sent by the second communication node according to the signal reporting method update configuration information; wherein the first perception measurement data and the second perception measurement data are used to train the to-be-trained model corresponding to the to-be-trained model identifier to obtain a perception model.

19. The method according to claim 18, characterized in that The signal reporting method update configuration information includes at least one of the following: An identifier of a perception signal sending node corresponding to the second communication node; An identifier of the updated perception signal sending node corresponding to the second communication node; In a periodic reporting scenario, updated periodic information of sensing measurement data and / or sensing signal reporting; Perceive the quality requirements of measurement data; The first path and multiple additional path perception signals of the perception signal sending node corresponding to the second communication node; Perception measurement data of a primary path and a plurality of additional paths of a second communication node; A power threshold of a sampling point of a sensing signal corresponding to the second communication node; The power threshold of the sampling point of the sensing measurement data.

20. The method according to claim 1, characterized in that The method further comprises: receiving a request for assistance information sent by the second communication node; According to the requested auxiliary information, auxiliary information is sent to the second communication node; wherein the auxiliary information includes at least one of the following: relevant information of the perception signal corresponding to the second communication node, relevant information of the perception signal that is preferentially measured in the perception signal corresponding to the second communication node, relevant information of the perception signal sending node corresponding to the second communication node, and the type of auxiliary information.

21. The method according to claim 1, characterized in that The method further comprises: Training a model to be trained according to the first perception measurement data to obtain a perception model; Inputting each third perception measurement data into the perception model to obtain an inference result; An evaluation result of the perception model is determined based on the multiple inference results.

22. The method according to claim 21, characterized in that Determining the evaluation result of the perception model according to the multiple inference results includes: determining an evaluation result of the perception model according to the number of inference results within a range corresponding to the QoS requirement; or, The evaluation result of the perception model is determined according to whether the degree of difference between the actual perception result and each of the inference results meets a preset threshold, wherein the preset threshold is used to indicate a position difference threshold or a speed difference threshold of the perception target.

23. The method according to claim 22, characterized in that The method further comprises: When the inference result includes a perception result and a confidence level, determining a range of the inference result according to the perception result and the confidence level, and determining the number of inference results within the range corresponding to the QoS requirement according to the range of the inference result and the range corresponding to the QoS requirement; or When the reasoning result includes a perception result, the range of the real perception result is determined according to the real perception result and the preset threshold, and whether the degree of difference between the real perception result and each of the reasoning results meets the preset threshold is determined according to the range of the real perception result and the positional relationship of the reasoning result.

24. The method according to claim 3, characterized in that The method further comprises: Receiving a preset threshold sent by a service side or a perception service request entity; wherein the preset threshold is used to evaluate the reasoning result of the perception model; Sending evaluation result indication information to the service side or the perception service request entity; wherein the evaluation result indication information is used to indicate whether the degree of difference between the inference result and the actual perception result meets the preset threshold.

25. The method according to claim 3, characterized in that The method further comprises: Receive monitoring requirement configuration information sent by the service side or the perception service request entity; wherein the monitoring requirement configuration information includes at least one of the following: the start time and period of model monitoring, the response time of model monitoring, the number of inferences required for each model monitoring, and the timeliness of each model monitoring.

26. A method for receiving information, characterized in that: Applied to a second communication node, the method comprises: Receiving first configuration information sent by a first communication node; Determine perception information according to the first configuration information; wherein the perception information includes first perception measurement data; The perception information is sent to the first communication node.

27. The method according to claim 26, characterized in that The first configuration information is used to indicate the identifier of the model to be trained.

28. The method according to claim 26, characterized in that The first perception measurement data is used to train the model to be trained to obtain a perception model.

29. A communication node, characterized in that: include: processor; The processor is used to implement the information sending method as described in any one of claims 1 to 25, or implement the information receiving method as described in any one of claims 26 to 28 when executing the computer program.

30. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the computer program implements the information sending method according to any one of claims 1 to 25, or implements the information receiving method according to any one of claims 26 to 28.

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