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

Abstract

Disclosed in the present application are an information sending method, an information receiving method, a communication node and a storage medium. The method comprises: sending first configuration information to a second communication node; and receiving sensing information, which is sent by the second communication node on the basis of the first configuration information, wherein the sensing information comprises first sensing measurement data.

Description

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

[0001] The present application relates to the technical field of communication, for example, to an information sending method, a receiving method, a communication node and a storage medium. BACKGROUND

[0002] In 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 according to 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 are often transmitted in a non-line-of-sight channel, which makes it difficult to accurately calculate the sensing result according to the sensing measurement data obtained from the sensing signal, resulting in poor sensing accuracy. SUMMARY

[0004] Embodiments of the present application provide an information sending method, applied to a first communication node, and the method comprises:

[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 comprises first sensing measurement data.

[0007] Embodiments of the present application provide an information receiving method, applied to a second communication node, and the method comprises:

[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 comprises first sensing measurement data;

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

[0011] Embodiments of the present application provide a communication node, comprising: a processor; the processor is used to implement the information sending method of any one of the above embodiments or implement the information receiving method of any one of the above embodiments when executing a computer program.

[0012] Embodiments of the present application also provide a computer-readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the information sending method of any one of the above embodiments or implement the information receiving method of any one of the above embodiments.

[0013] More illustration is provided in the description of drawings, detailed embodiments and claims about the above embodiments and other aspects of the present application and implementation thereof. BRIEF DESCRIPTION OF DRAWINGS

[0014] FIG. 1 is a schematic diagram of an application scenario of an information sending method according to an embodiment;

[0015] FIG. 2 is a schematic diagram of a sending and receiving mode of a sensing signal according to an embodiment;

[0016] FIG. 3 is a flowchart of an information sending method according to an embodiment;

[0017] FIG. 4 is a schematic diagram of information interaction according to an embodiment;

[0018] FIG. 5 is a schematic diagram of another information interaction according to an embodiment;

[0019] FIG. 6 is a schematic diagram of a correspondence between a sensing request and a model identifier according to an embodiment;

[0020] FIG. 7 is a schematic diagram of channel measurement data according to an embodiment;

[0021] FIG. 8 is a schematic diagram of an implementation of a sensing model according to an embodiment;

[0022] FIG. 9 is a flowchart of another information sending method according to an embodiment;

[0023] FIG. 10 is a correspondence between a sensing area of a second communication node and a model identifier;

[0024] FIG. 11 is a schematic diagram of yet another information interaction according to an embodiment;

[0025] FIG. 12 is a flowchart of yet another information sending method according to an embodiment;

[0026] FIG. 13 is a schematic diagram of yet another information interaction according to an embodiment;

[0027] FIG. 14 is a flowchart of still another information sending method according to an embodiment;

[0028] FIG. 15 is a schematic diagram of still another information interaction according to an embodiment;

[0029] FIG. 16 is a flowchart of yet another information sending method according to an embodiment;

[0030] FIG. 17 is a schematic diagram of a position relationship of a range corresponding to a reasoning result and a QoS requirement according to an embodiment;

[0031] FIG. 18 is a schematic diagram of a position relationship of a reasoning result and a real sensing result according to an embodiment;

[0032] FIG. 19 is another information interaction diagram provided by an embodiment;

[0033] FIG. 20 is a flow diagram of an information receiving method provided by an embodiment;

[0034] FIG. 21 is a structural diagram of an information sending apparatus provided by an embodiment;

[0035] FIG. 22 is a structural diagram of an information receiving apparatus provided by an embodiment;

[0036] FIG. 23 is a structural diagram of a communication node provided by an embodiment. DETAILED DESCRIPTION

[0037] It should be understood that the specific embodiments described herein merely exemplify the application and do not limit the application. The embodiments of the application will be described in detail below with reference to the accompanying drawings.

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

[0039] There are six sensing modes in the related art: base station self-sending and self-receiving, base station A sending and base station B receiving, user equipment (UE) sending and base station receiving, UE self-sending and self-receiving, UE-A sending and UE-B receiving, and base station sending and UE receiving. It can be understood that the sensing modes define the combination manner between the sensing signal sending node and the sensing signal receiving node. For example, the sensing mode of base station A sending and base station B receiving means that the base station A as the sensing signal sending node sends the sensing signal to the base station B as the sensing signal receiving node. The sensing mode of base station sending and UE receiving means that the base station as the sensing signal sending node sends the sensing signal to the UE as the sensing signal receiving node.

[0040] One sensing signal receiving node can receive sensing signals transmitted by multiple sensing signal transmitting nodes. Similarly, the sensing signal transmitted by one sensing signal transmitting node can also be received by different sensing signal receiving nodes. FIG. 2 is a schematic diagram of the transmission and reception of sensing signals according to an embodiment. As shown in the left part of FIG. 2, the sensing signal receiving node UE 21 receives the sensing signals transmitted by the base station 22, the base station 23 and the UE 24 which are sensing signal transmitting nodes. The sensing signals are the signals obtained by the base station 22, the base station 23 and the UE 24 after sensing the sensing target. As shown in the right part of FIG. 2, the sensing signal transmitting node base station 25 transmits the sensing signal to the base station 26, the UE 27 and the UE 28 which are sensing signal receiving nodes. The sensing signal is also the signal obtained by the base station 25 after sensing the sensing target.

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

[0042] The information transmission method, the information reception method, the communication node and the technical effects thereof are described below.

[0043] FIG. 3 is a flowchart of an information transmission method according to an embodiment. The information transmission method provided in the present embodiment is applicable to a first communication node. The method comprises the following steps.

[0044] Step 301: transmitting first configuration information to a second communication node.

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

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

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

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

[0049] The second communication node sends the sensing information to the first communication node according to the first configuration information after receiving the first configuration information.

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

[0051] The sensing information includes first sensing 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 can include first sensing measurement data. The first sensing measurement data in this embodiment can be sensing measurement data obtained by the second communication node 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 sensing accuracy. Optionally, the first communication node can train a to-be-trained model according to the first sensing measurement data to obtain a sensing model. Sensing is performed based on the sensing model, so as to improve sensing accuracy.

[0054] Optionally, the first configuration information can be carried in the request for sensing information. The sensing information can be carried in the provision of 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 sensing information requested in step 301 or be a subset of the requested sensing information.

[0055] Optionally, if the sensing information cannot be transmitted successfully 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 step: receiving additional sensing information sent by the second communication node. Optionally, the additional sensing information can be carried in additional request sensing information.

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

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

[0060] The sensing information includes first sensing measurement data.

[0061] In this step, the second communication node can detect or receive sensing signals according to the first configuration information, and obtain the first sensing measurement data by 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 by the embodiment, the first communication node can further perform the following steps: receiving a sensing request sent by a sensing service request entity; and determining the first configuration information according to the sensing request.

[0065] In the embodiment, the sensing request is used to realize the related configuration of sensing. Optionally, the sensing request comprises at least one of the following: a sensing area, a sensing scene, a sensing type, and a sensing demand. The sensing area can comprise a coordinate range or a coverage range of a plurality of cells. The sensing scene can comprise, for example, indoor or outdoor, etc. The sensing type can comprise at least one of the following: sensing a person, sensing an animal, sensing a drone, and sensing a vehicle. The sensing demand is used to indicate at least one of the following: accuracy of each sensing target, false alarm rate, and false alarm rate, etc.

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

[0067] The sensing request and the configuration information in the embodiment can have a mapping relationship. The first communication node can determine the first configuration information according to the sensing request and the mapping relationship.

[0068] FIG. 5 is another information interaction schematic diagram provided by an embodiment. As shown in FIG. 5, the information interaction process comprises the following steps.

[0069] Step 501: A sensing service request entity sends a sensing request to a 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 a 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 sensing information according to the first configuration information.

[0075] The sensing information comprises first sensing measurement data.

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

[0077] Step 508: The first communication node receives the awareness 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, which comprises the following steps: sending first configuration information to a second communication node; and receiving awareness information sent by the second communication node according to the first configuration information, wherein the awareness information comprises first awareness measurement data, so that the accuracy of awareness is improved based on the first awareness measurement data.

[0079] The following embodiment specifically describes the specific implementation of the first configuration information, the awareness information and the first awareness measurement data.

[0080] In an embodiment, the first configuration information is used for indicating a to-be-trained model identification.

[0081] The to-be-trained model identification (ID) in the embodiment corresponds to a to-be-trained model based on artificial intelligence (AI) or machine learning (ML). The model ID in the embodiment can also be referred to as the associated ID of the model. AI / ML is a new technology in the current wireless communication system, which can improve the performance of the network by training a large amount of data. In the embodiment, the technology can be used for target awareness, so as to introduce AI / ML technology in the awareness scene and improve the accuracy of awareness.

[0082] In an implementation mode, the first communication node can determine a preconfigured model identification as the to-be-trained model identification, or determine the to-be-trained model identification by itself based on a preset rule.

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

[0084] FIG. 6 is a schematic diagram of the correspondence between the awareness request and the model identification according to an embodiment. As shown in FIG. 6, it is assumed that there are five awareness requests: awareness request A, awareness request B, awareness request C, awareness request D and awareness request E. Among them, the awareness request A and the awareness request C can correspond to the associated ID 1, the awareness request B and the awareness request E can correspond to the associated ID 2, and the awareness request D can correspond to the associated ID 3.

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

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

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

[0088] Optionally, the data requirements in the embodiment include at least one of the following: measurement quality, accuracy, confidence, and the like.

[0089] In the embodiment, after determining the first perception measurement data, the second communication node can determine whether the first perception 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 manner can enable the first communication node to efficiently determine the perception measurement data meeting the requirements according to the quality indication information, thereby improving the perception efficiency.

[0090] In an embodiment, the first configuration information is used to indicate the type of the perception measurement data. The type of the perception 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 perception measurement data is consistent with the type of the perception measurement data indicated in the first configuration information.

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

[0093] The data label of the first perception measurement data includes at least one of the following: a region identifier of the perception region, indication information indicating whether there is a perception target in the perception region, a number of perception targets in the perception region, position information of each perception target, speed information of each perception target, a horizontal position of each perception target, a vertical position of each perception target, speed accuracy of each perception target, a shape of each perception target, an attribute of each perception target, radar cross section (RCS) information of each perception target, a valid time of the data label, an identifier of the perception target, position information of the perception target, speed information of the perception target, a horizontal position of the perception target, a vertical position of the perception target, speed accuracy of the perception target, a shape of the perception target, an attribute of the perception target, and RCS information of the perception target. Alternatively, the data label of the first perception measurement data includes measurement information.

[0094] During supervised training of the AI / ML model, the perception measurement data and the data label thereof are required. In this embodiment, the first configuration information is used to indicate the type of the data label of the perception measurement data. Correspondingly, the perception information further includes the data label of the first perception measurement data. The type of the data label of the first perception measurement data corresponds to the type of the data label indicated in the first configuration information.

[0095] FIG. 8 is a schematic diagram of an implementation of a perception model according to an embodiment. As shown in FIG. 8, the perception model can perform inference according to the perception measurement data. The output of the perception model can have two implementation manners. The output of the perception model 1 in FIG. 8 is a perception result. The output of the perception model 2 in FIG. 8 is intermediate measurement information. This scenario can also be referred to as perception assisted by the perception model. If the output of the perception model is intermediate measurement information, the first communication node needs to perform perception analysis and calculation on the intermediate measurement information to obtain the final perception result.

[0096] In the scenario where the output of the perception model is a perception result, the data label of the first perception measurement data can have the following two implementation manners.

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

[0098] In the target-based perception scenario, the data label of the first perception measurement data includes at least one of the following: an identification of the perception target, position information of the perception target, speed information of the perception target, horizontal position of the perception target, vertical position of the perception target, speed accuracy of the perception target, shape of the perception target, attribute of the perception target, RCS information of the perception target, valid time of the data label or measurement.

[0099] In the scenario where the output of the perception model is intermediate measurement information, the data label of the first perception measurement data includes 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, not line of sight (NLOS) indication, and per-path measurement information.

[0100] For a supervised learning mode, the data label is mandatory. For a semi-supervised learning model, the data label is not mandatory. For an unsupervised learning mode, not all perception measurement data needs to have a data label. Based on this, in an embodiment, the first configuration information is used to indicate the number and / or proportion of perception measurement data with a data label. Alternatively, the first configuration information is used to indicate the number and / or proportion of perception measurement data without a data label. Alternatively, the first configuration information is used to indicate that the perception measurement data has a data label. Alternatively, the first configuration information is used to indicate that the perception measurement data does not have a data label.

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

[0102] For target perception, the data label can be the position, speed, etc. of the target, and a perception reference node needs to be introduced to obtain the label information for model training and monitoring. The perception reference node can provide training and monitoring data labels for different associated ID models according to different environments and different perception target types / RCSs.

[0103] In the model training process, the second communication node can perform channel measurement in an environment without a sensing reference unit (SRU) and a sensing target node. The channel measurement data in this scenario is denoted as C0. The second communication node can also perform one or more channel measurements in an environment with a sensing reference node. The channel measurement data in this scenario is denoted 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. FIG. 7 is a schematic diagram of channel measurement data provided by an embodiment. In FIG. 7, the first communication node is taken as an example for illustration. As shown in FIG. 7, the left diagram represents measurement in an environment without a sensing reference node and a sensing target node. The right diagram represents measurement in an environment with a sensing reference node.

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

[0105] In the first implementation manner, the first sensing measurement data includes: channel measurement data in an environment without a sensing reference node and a sensing target node, and one or more channel measurement data in an environment 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 difference measurement data. Each difference measurement data is difference data of channel measurement data in an environment with a sensing reference node and channel measurement data in an environment without a sensing reference node. 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: one or more channel measurement data in an environment with a sensing reference node. That is, the first sensing measurement data includes: C1, C2, …, CN.

[0108] For the above three implementation manners, the position, speed, and other information of the sensing reference node can be changed to obtain a plurality of sets of channel measurement data, that is, a plurality of first sensing measurement data, to train the to-be-trained model.

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

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

[0111] The second implementation manner: {input: C1-C0, C2-C0, …, CN-C0; output: position, speed, type, and the like of the sensing target};

[0112] The third implementation manner: {input: C1, C2, …, CN; output: position, speed, type, and the like of the perception target}.

[0113] In this embodiment, the first communication node can determine the implementation manner of the perception measurement data based on the perception scene or the to-be-trained model identification, and carry the implementation manner of the perception measurement data in the first configuration information. The second communication node can determine which of the above three implementation manners is used for the implementation manner of the first perception measurement data according to the first configuration information.

[0114] In an embodiment, the perception information further includes at least one of the following: an identification of a perception signal sending node corresponding to the second communication node, an identification of a perception signal received by the second communication node, a resource identification of the perception signal received by the second communication node, a resource set identification of the perception signal received by the second communication node, a position of the perception signal sending node corresponding to the second communication node, a number of perception reference nodes, a position of each perception reference node, a speed of each perception reference node, and an attribute of each perception reference node. It should be noted that the information of the perception reference node, for example, the number, the position, and the like, can also be sent by the perception reference node to the first communication node.

[0115] In an embodiment, the first perception measurement data is channel measurement data obtained by the second communication node. The dimension, attribute, feature, or information of the channel measurement data includes at least one of the following: a number Nt of perception signal sending nodes in the channel measurement, a number Ns of time slots in the channel measurement, a number Ns of symbols in the channel measurement, a number Nr of perception resources in the channel measurement, a number Nr of perception resource sets in the channel measurement, a number Na of antenna port pairs in the channel measurement, and a number Np of sampling points in the channel measurement. The perception signal sending node in the channel measurement can be a group of TRPs, a group of UEs, or a group composed of TRPs and UEs. One second communication node can measure perception signals from multiple perception signal sending nodes.

[0116] In an embodiment, the reference time of the first perception measurement data is T0+t RS . Wherein, T0 is the starting time of the system frame number (SFN) 0. t RS = (10n f +n sf ) × 10 -3 , n f represents the system frame number of the perception signal received by the second communication node, and n sf represents the subframe number of the perception signal received by the second communication node.

[0117] In an embodiment, the first configuration information comprises signal reporting mode configuration information. The signal reporting mode configuration information comprises at least one of the following: an identifier of the second communication node; an identifier of a group of second communication nodes; an identifier of a sensing signal sending node corresponding to the second communication node; an identifier of a group of sensing signal sending nodes corresponding to the second communication node; a resource identifier of a sensing signal corresponding to the second communication node; a resource set identifier of a sensing signal corresponding to the second communication node; a resource identifier of the sensing information; a resource set identifier of the sensing information; a requirement of a delay time of the sensing information and / or the sensing signal; a time-frequency resource of the sensing information and / or the sensing signal reporting in a non-periodic reporting scenario; and a periodic information of the sensing information and / or the sensing signal reporting in a periodic reporting scenario.

[0118] After receiving the sensing request, the first communication node can determine the reporting mode of the sensing information of the second communication node and / or the reporting mode of the sensing signal of the sensing signal sending node corresponding 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 can include periodic reporting or non-periodic reporting. The non-periodic reporting mode can be an event-triggered reporting mode.

[0119] The group of second communication nodes comprises one or more second communication nodes. The group of sensing signal sending nodes comprises one or more sensing signal sending nodes. The time-frequency resource in the non-periodic reporting scenario can comprise at least one of the following: a synchronization frequency network (SFN), a time slot, and an orthogonal frequency division multiplexing (OFDM) symbol indication. The periodic information in the periodic reporting scenario comprises at least one of the following: a start time, a duration, a time offset, etc.

[0120] For example, an implementation of the signal reporting mode configuration information is as follows: a sensing signal receiving node (i.e., a second communication node) ID#1, a sensing signal sending node ID#2, a sensing signal resource ID#A, a sensing signal resource set ID#B, and a periodic reporting configuration (including a start time, a period, a number of repetitions, a start time offset). The signal reporting mode configuration information indicates that the sensing signal receiving node #1 receives the sensing signal resource #A in the resource set #B sent by the sensing signal sending node #2 in a given periodic reporting configuration. The sensing information receiving / sending node can comprise one or more nodes, and the sensing signal resource / resource set can also comprise one or more.

[0121] For another example, another implementation of the signal reporting mode configuration information is: a sensing signal receiving node group ID #1, a sensing signal sending node group ID #2, a sensing signal resource group ID #A, a sensing signal resource set group ID #B, and aperiodic reporting configuration (including reporting time). The signal reporting mode configuration information indicates that the sensing receiving node group #1 performs aperiodic reporting in a given configuration when receiving the resource group #A in the resource set group #B sent by the sensing sending node group #2. There can be multiple node IDs in a node group, and there can be multiple resource / resource set IDs in a resource / resource set group.

[0122] It should be noted that the implementation manners 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 can include data requirements and / or QoS of a to-be-trained model, and meanwhile, the first configuration information can also be used to indicate the type of the first sensing measurement data. For another example, the sensing information further includes quality indication information of the first sensing measurement data, and meanwhile, the sensing information can also include a data label of the first sensing measurement data.

[0123] FIG. 9 is a flow diagram of another information sending method according to an embodiment. This embodiment is based on the above embodiments and various optional implementation manners, and further describes other steps included in the information sending method. As shown in FIG. 9, the information sending method provided by this embodiment further includes the following steps.

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

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

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

[0127] In the model training and inference process, consistency needs to be maintained between training and inference, that is, the data used for model inference needs to maintain consistency with the characteristics of the data used for model training. In the sensing process, the characteristics of the training data can include sensing signal configuration characteristics, sensing services, sensing modes, and the like. In order to guarantee the consistency between training and inference in sensing, different AI / ML models need to be limited, that is, the second communication node needs to be configured with the correspondence between its sensing measurement data and the model identifier. Optionally, the sensing signal configuration characteristics can include at least one of the following: a period of a sensing signal, a frequency offset of a sensing signal, an OFDM symbol of a sensing signal, and the like.

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

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

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

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

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

[0133] Mapping relationship between sensing service and model identification. The sensing service includes: 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, the service for target tracking and action recognition is associated with ID-3, etc.

[0134] Mapping relationship between sensing mode and model identification. As shown above, the sensing model includes base station self-transmission and self-reception (single-station sensing), base station A transmission and base station B reception (double-station sensing), base station transmission and terminal reception, terminal transmission and base station reception, terminal self-transmission and self-reception, terminal A transmission and terminal B reception, one or more of the above modes can be respectively associated with different model identifications.

[0135] Mapping relationship between sensing target and model identification. The sensing target includes people, animals, vehicles, drones, etc. One or more of the above sensing targets are respectively associated with different IDs, such as the sensing target is a vehicle associated with ID-1, the sensing target is an animal associated with ID-2, etc.

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

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

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

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

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

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

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

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

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

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

[0146] FIG. 10 is a correspondence relationship between a sensing area of the second communication node and a model identifier. In FIG. 10, the second communication node is exemplarily illustrated as a TRP. As shown in FIG. 10, for the same TRP, there can be two or more different sensing requirements, corresponding to different sensing areas. In this case, the first communication node can configure different association 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. For example, model ID2 corresponds to 15°-165° received signals, and model ID1 corresponds to 195°-345° received signals, to distinguish sensing measurement data required by different models.

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

[0148] FIG. 11 is another information interaction schematic diagram provided by an embodiment. As shown in FIG. 11, 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 the 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 the perception information according to the first configuration information.

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

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

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

[0157] FIG. 12 is a flowchart of another information sending method provided by an embodiment. The embodiment makes a detailed description of other steps included in the information sending method on the basis of the above-mentioned embodiments and various optional implementation manners. As shown in FIG. 12, the information sending method provided by the embodiment further includes the following steps.

[0158] Step 1201: When it is determined that the first perception measurement data cannot meet the training requirement of the to-be-trained model, the signal reporting mode update configuration information is sent to the second communication node.

[0159] If the first communication node finds that the received first perception measurement data is insufficient to meet the training requirement of the to-be-trained model, the signal reporting mode update configuration information can be sent to the second communication node.

[0160] Optionally, the signal reporting mode update configuration information comprises at least one of the following: an identifier of the sensing signal sending node corresponding to the second communication node; an identifier of the updated sensing signal sending node corresponding to the second communication node, i.e., which sensing signal sending nodes need to be configured to send the sensing signal; updated period information of the sensing measurement data and / or the sensing signal reporting in a periodical reporting scenario; quality requirement of the sensing measurement data; a first path and multiple additional paths of the sensing signal of the sensing signal sending node corresponding to the second communication node; sensing measurement data of the first path and multiple additional paths of the second communication node; a power threshold of a sampling point of the sensing signal corresponding to the second communication node, if the power of the sampling point of a certain sensing signal is less than the power threshold, the sensing measurement data corresponding to the sensing signal will not be reported to the first communication node; a power threshold of a sampling point of the sensing measurement data, if the power of the sampling point of a certain sensing measurement data is less than the power threshold, the sensing measurement data will not be reported to the first communication node.

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

[0162] 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 to obtain the sensing model.

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

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

[0165] FIG. 13 is another information interaction schematic diagram provided by an embodiment. As shown in FIG. 13, the information interaction process provided by the embodiment comprises the following steps.

[0166] Step 1301: when it is determined that the first sensing measurement data cannot meet the training requirement of training the to-be-trained model, the first communication node sends 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 perception measurement data.

[0171] Step 1306: The first communication node trains the to-be-trained model in combination with the first perception measurement data and the second perception measurement data to obtain the perception model.

[0172] The information sending method provided by the embodiment can configure the second communication node to obtain the second perception measurement data when the first perception measurement data cannot meet the training requirement of the to-be-trained model, so as to train the to-be-trained model in combination with the first perception measurement data and the second perception measurement data, and obtain the perception model, thereby further improving the perception accuracy of the perception model.

[0173] FIG. 14 is a flowchart of another information sending method provided by an embodiment. The embodiment makes a detailed description of other steps included in the information sending method on the basis of the above-mentioned embodiments and various optional implementation manners. As shown in FIG. 14, 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 can 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 can be carried in the provided assistance information. The assistance information in the embodiment can be used for an AI / ML model or a general perception process.

[0178] The assistance information includes at least one of the following: related information of a perception signal corresponding to the second communication node, related information of a perception signal preferentially measured in a perception signal corresponding to the second communication node, related information of a perception signal sending node corresponding to the second communication node, and a type of the assistance information.

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

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

[0181] FIG. 15 is another information interaction diagram provided by an embodiment. As shown in FIG. 15, the information interaction process provided by the embodiment includes the following steps.

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

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

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

[0185] If the auxiliary information cannot be sent successfully at one time due to a large amount of data of the auxiliary information or the like, the first communication node can further send the second communication node additional auxiliary information.

[0186] The additional auxiliary information can also be carried in one or more additional auxiliary information.

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

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

[0189] The information sending method provided in the embodiment can realize configuration of the auxiliary information to the second communication node, the second communication node can understand the configuration information of the sensing signal according to the auxiliary information, so as to determine the sensing measurement data according to the sensing signal subsequently, and the sensing measurement data can be determined reliably.

[0190] FIG. 16 is a flowchart of another information sending method provided in an embodiment. The embodiment is based on the above-mentioned embodiments and various optional implementation manners, and details of other steps included in the information sending method are described. As shown in FIG. 16, the information sending method provided in the embodiment further includes the following steps.

[0191] In step 1601, a preset threshold value sent by the service side or the sensing service request entity is received.

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

[0193] The information sending method provided in the embodiment is used to implement model monitoring. Model monitoring refers to evaluation of the performance of an AI / ML model. For sensing, the index for measuring the performance of the AI / ML model can be the model reliability, i.e., the proportion of meeting the QoS sensing request.

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

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

[0196] In step 1602, evaluation result indication information is sent to the service side or the sensing service request entity.

[0197] The evaluation result indication information is used to indicate whether the difference degree between the inference result and the real sensing result meets the preset threshold value.

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

[0199] The third sensing measurement data in the embodiment is input data when the model is inferred. It can be understood that the features of the first sensing measurement data are consistent with the features of the third sensing measurement data.

[0200] In an implementation, when the evaluation result of the perception model is determined according to the plurality of inference results, the evaluation result of the perception model can be determined according to whether the number of inference results located in the range corresponding to the QoS requirement satisfies a preset threshold.

[0201] Optionally, the method further comprises the following steps: when the inference result comprises the perception result and the confidence, determining the range of the inference result according to the perception result and the confidence, and determining the number of inference results located in the range corresponding to the QoS requirement according to the range of the inference result and the range corresponding to the QoS requirement. The range corresponding to the QoS requirement can be a range specified by the perception server for the node, or a range determined by the first communication node according to the QoS requirement and a preset threshold.

[0202] FIG. 17 is a schematic diagram of the positional relationship between an inference result and a range corresponding to a QoS requirement according to an embodiment. As shown in FIG. 17, it is assumed that the range corresponding to the QoS requirement is a first area 171, and the range of the inference result is a second area 172. Three cases are shown in FIG. 17: the second area 172 is located in the first area 171, indicating that the inference result meets the requirement; part of the second area 172 is located in the first area 171, indicating that the inference result partially meets the requirement; and 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 the evaluation result of the perception model is determined according to the plurality of inference results, the evaluation result of the perception model can be determined according to whether the difference between the real perception result and each inference result satisfies a preset threshold, wherein the preset threshold is used to indicate a position difference threshold of the perception target or a speed difference threshold of the perception target.

[0204] Optionally, the method further comprises the following steps: when the inference result comprises the perception result, determining the range of the real perception result according to the real perception result and the preset threshold, and determining whether the difference between the real perception result and each inference result satisfies the preset threshold according to the range of the real perception result and the positional relationship between the real perception result and each inference result.

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

[0206] FIG. 18 is another schematic diagram of the position relationship between the inference result and the real perception result according to an embodiment. As shown in FIG. 18, it is assumed that the range of the real perception result is the third area 181, and two cases are shown in FIG. 18: the inference result 182 is located in the third area 181, which means that the inference result meets the perception requirement; and the inference result 182 is located outside the third area 181, which means that the inference result does not meet the perception requirement.

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

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

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

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

[0211] For the periodical model monitoring configuration, the monitoring requirement configuration information includes the start time and the period of the model monitoring. For the event-triggered model monitoring configuration, the monitoring requirement configuration information includes the response time of the model monitoring. The inference number required for each model monitoring refers to the number of model inferences required for statistical once of reliability. The timeliness of each model monitoring refers to the inference results within how long a period are used for the model monitoring, that is, the perception results far from the current time will not be used for the model monitoring index calculation.

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

[0213] FIG. 19 is another schematic diagram of the information interaction according to an embodiment. As shown in FIG. 19, the information interaction process provided in the 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 perception service request entity 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 perception service request entity.

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

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

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

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

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

[0225] The perception information includes first perception measurement data.

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

[0227] In an embodiment, the first configuration information is used to indicate a to-be-trained model identifier.

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

[0229] In an embodiment, the information receiving method further includes the following step: receiving second configuration information sent by the first communication node. The second configuration information is used to indicate a correspondence between perception measurement data of the second communication node and a model identifier.

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

[0231] In an embodiment, the information receiving method further includes the following steps: receiving signal reporting mode update configuration information sent by the first communication node; determining 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 is determined 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 identify the corresponding to-be-trained model of the to-be-trained model to obtain the sensing model.

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

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

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

[0235] The embodiment further provides a sensing method applied to a sensing signal receiving node, and the method includes: collecting corresponding sensing measurement data according to a pre-configured model identifier or an associated identifier; and training a to-be-trained model corresponding to the pre-configured model identifier or the 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 the embodiment can implement sensing based on the sensing model, and improves the sensing accuracy.

[0237] FIG. 21 is a structural schematic diagram of an information sending device provided in an embodiment. The information sending device provided in the embodiment is arranged in a first communication node. As shown in FIG. 21, 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 first configuration information to a 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 an embodiment, the first configuration information is used to indicate a to-be-trained model identifier.

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

[0242] In an 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 a correspondence between sensing measurement data and a model identifier of the second communication node.

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

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

[0245] In an embodiment, the first configuration information includes data requirements and / or QoS of the to-be-trained model. 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 to-be-trained model.

[0246] In an 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 an embodiment, the sensing request comprises at least one of a sensing area, a sensing scenario, a sensing type, and a sensing requirement.

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

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

[0250] The data tag of the first sensing measurement data comprises at least one of a region identifier of a sensing area, indication information used to indicate whether there is a sensing target in the sensing area, a number of sensing targets in the sensing area, position information of each sensing target, speed information of each sensing target, a horizontal position of each sensing target, a vertical position of each sensing target, speed accuracy of each sensing target, a shape of each sensing target, an attribute of each sensing target, RCS information of each sensing target, a valid time of the data tag, an identifier of a sensing target, position information of a sensing target, speed information of a sensing target, a horizontal position of a sensing target, a vertical position of a sensing target, speed accuracy of a sensing target, a shape of a sensing target, an attribute of a sensing target, and RCS information of a sensing target. Alternatively, the data tag of the first sensing measurement data comprises measurement information.

[0251] In an embodiment, the first configuration information is used to indicate a number and / or a proportion of sensing measurement data with a data tag, or the first configuration information is used to indicate a number and / or a proportion of sensing measurement data without a data tag, or the first configuration information is used to indicate that the sensing measurement data has a data tag, or the first configuration information is used to indicate that the sensing measurement data does not have a data tag.

[0252] In an embodiment, the first sensing measurement data comprises only environmental channel measurement data and one or more channel measurement data in an environment with a sensing reference node. Alternatively, the first sensing measurement data comprises one or more differential measurement data, wherein each differential measurement data is differential data of channel measurement data in an environment with a sensing reference node and only environmental channel measurement data. Alternatively, the first sensing measurement data comprises one or more channel measurement data in an environment with a sensing reference node.

[0253] In an embodiment, the perception information further comprises at least one of: an identity of a perception signal transmitting node corresponding to the second communication node, an identity of a perception signal received by the second communication node, a resource identity of a perception signal received by the second communication node, a resource set identity of a perception signal received by the second communication node, a location of a perception signal transmitting node corresponding to the second communication node, a number of perception reference nodes, a location of each perception reference node, a speed of each perception reference node, and an attribute of each perception reference node.

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

[0255] In an embodiment, a reference time of the first perception measurement data is T0+t RS , wherein T0 is a start time of SFN0, t RS = (10n f +n sf ) x 10 -3 , n f represents a system frame number of a perception signal received by the second communication node, and n sf represents a subframe number of the perception signal received by the second communication node.

[0256] In an embodiment, the first configuration information comprises signal reporting mode configuration information, wherein the signal reporting mode configuration information comprises at least one of: an identity of the second communication node, an identity of a group of second communication nodes, an identity of a perception signal transmitting node corresponding to the second communication node, an identity of a group of perception signal transmitting nodes corresponding to the second communication node, a resource identity of a perception signal corresponding to the second communication node, a resource set identity of the perception signal corresponding to the second communication node, a resource identity of the perception information, a resource set identity of the perception information, a requirement of a delay time of the perception information and / or the perception signal, a time-frequency resource of reporting the perception information and / or the perception signal in an aperiodic reporting scenario, and periodic information of reporting the perception information and / or the perception signal in a periodic reporting scenario.

[0257] In an 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 perception measurement data cannot meet the training requirement for training the to-be-trained model. The first receiving module 212 is further configured to receive second perception measurement data sent by the second communication node according to the signal reporting mode update configuration information. The first perception measurement data and the second perception measurement data are used to train the to-be-trained model to obtain the perception model.

[0258] In an embodiment, the signal reporting mode 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 an updated perception signal sending node corresponding to the second communication node; updated cycle information of perception measurement data and / or perception signal reporting in a cycle reporting scenario; quality requirement of the second perception measurement data; a first path and multiple additional paths of the perception signal of the perception signal sending node corresponding to the second communication node; first path and multiple additional paths of the perception measurement data of the second communication node; a power threshold of a sampling point of the perception signal corresponding to the second communication node; and a power threshold of a sampling point of the perception measurement data.

[0259] In an 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: related information of the perception signal corresponding to the second communication node, related information of a perception signal that is preferentially measured in the perception signal corresponding to the second communication node, related information of the perception signal sending node corresponding to the second communication node, and a type of the assistance information.

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

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

[0262] In an embodiment, the apparatus further comprises a first determining module configured to: when the inference result comprises a perception result and a confidence level, determine a range of the inference result according to the perception result and the confidence level, and determine a number of inference results within a 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 determining module is configured to: when the inference result comprises a perception result, determine a range of the real perception result according to the real perception result and the preset threshold, and determine whether a difference between the real perception result and each of the inference results meets the preset threshold according to the range of the real perception result and a positional relationship of the inference result.

[0263] In an 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, wherein 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, wherein the evaluation result indication information is used to indicate whether a difference between the inference result and the real perception result meets the preset threshold.

[0264] In an 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, wherein the monitoring requirement configuration information comprises at least one of the following: a start time and a period of model monitoring, a response time of model monitoring, a number of inferences required for each model monitoring, and a timeliness of each model monitoring.

[0265] The information sending apparatus provided in this embodiment can implement the information sending method in the above-mentioned embodiments, and has similar implementation principles and technical effects to the above-mentioned embodiments, which will not be described here again.

[0266] FIG. 22 is a structural schematic diagram of an information receiving apparatus provided in an embodiment. The information receiving apparatus provided in this embodiment is arranged in a second communication node. As shown in FIG. 22, the information receiving apparatus provided in this embodiment comprises the following modules: a second receiving module 221, a second determining module 222, and a second sending module 223.

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

[0268] The second determining module 222 is configured to determine 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] The perception information comprises first perception measurement data.

[0271] In an embodiment, the first configuration information is used to indicate the to-be-trained model identifier.

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

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

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

[0275] In an embodiment, the second receiving module 221 is further configured to receive signal reporting mode update configuration information sent by the first communication node, and the second determining module 222 is further configured to determine the second perception measurement data according to the signal reporting mode update configuration information, and the second sending module 223 is further configured to send the second perception measurement data to the first communication node, wherein the signal reporting mode update configuration information is sent by the first communication node when it is determined that the first perception measurement data cannot meet the training requirement of training the to-be-trained model, and 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 the perception model.

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

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

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

[0279] Figure 23 is a structural diagram of a communication node according to an embodiment. As shown in Figure 23, the communication node includes a processor 60, a memory 61 and a communication interface 62; the number of processors 60 in the communication node can be one or more, and Figure 23 takes one processor 60 as an example; the processor 60, the memory 61 and the communication interface 62 in the communication node can be connected through a bus or other means, and Figure 23 takes the connection through the 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 of the bus structures.

[0280] The memory 61 is a computer readable storage medium, which can be configured to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the method of the embodiments of the present application. The processor 60 executes at least one function 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 method described above.

[0281] The memory 61 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory 61 can include a high-speed random access memory, and can 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 memory device. In some examples, the memory 61 can include a memory disposed remotely with respect to the processor 60, and these remote memories can be connected to the communication node through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local network, a mobile communication network, and a combination thereof.

[0282] The communication interface 62 can be configured to receive and send data.

[0283] The embodiments of the present application also provide a communication system, including the first communication node and the second communication node described above.

[0284] The embodiments of the present application also provide a computer readable storage medium, and the computer readable storage medium stores a computer program. The computer program is executed by a processor to implement the method provided by any of the embodiments of the present application.

[0285] The computer storage medium of the embodiments of the present application can adopt any combination of one or more computer readable media. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium may, for example, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination thereof. The computer readable storage medium includes (but is not exhaustive) an electrical connection having one or more wires, a portable computer diskette, 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 thereof. In the present application, the computer readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device or apparatus.

[0286] The computer readable signal medium can include a data signal propagating in a baseband or as part of a carrier wave propagating through a transmission medium, and carrying computer readable program code. Such a propagated data signal can take a variety of forms, including but not limited to electro-magnetic, optical, or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate or transport program for use by or in connection with an instruction execution system, apparatus, or device.

[0287] The program code contained on the computer readable medium can be transmitted using any suitable medium, including but not limited to wireless, wire line, optical fiber, radio frequency (RF), or any suitable combination thereof.

[0288] Computer program code for carrying out operations of the present disclosure can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++, Ruby, Go, or the like, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can 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 the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0289] Those skilled in the art will appreciate that the term user terminal encompasses any appropriate type of wireless user equipment, such as a mobile phone, a portable data processing apparatus, a portable web browser, or a vehicle mounted mobile station.

[0290] In general, the various embodiments of the application can be implemented in hardware or special purpose circuits, software, logic or any combination thereof. For example, some aspects can be implemented in hardware, while other aspects can be implemented in

[0291] Embodiments of the application can be implemented by the 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. Computer program instructions can be in assemblies, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, or in any combination of one or more programming languages, executed on one or more computing devices.

[0292] The block diagrams of any logical flow of the present application in the drawings can represent program steps or can represent interconnected logic circuits, modules, and functions, or can represent a combination of program steps and logic circuits, modules, and functions. The computer program can be stored on a memory. The memory can be of any type suitable to the local technical environment and can be realized using any suitable data storage technology, such as, but not limited to, read only memory (ROM), random access memory (RAM), optical storage devices, and systems, such as digital video disc (DVD) or compact disc (CD), and the like. The computer readable medium can include non-transitory storage media. The data processor can be of any type suitable to the local technical environment, and can include, but is not limited to, a general purpose computer, a special purpose computer, a microprocessor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), and a processor based on multi-core processor architecture.

Claims

1. An information sending method applied to a first communication node, the method comprising: sending first configuration information to a second communication node; and receiving sensing information sent by the second communication node according to the first configuration information, wherein the sensing information comprises first sensing measurement data. The first configuration information is used to indicate a to-be-trained model identifier. The first sensing measurement data is used to train the to-be-trained model to obtain a sensing model.

2. The method of claim 1, wherein, 4. The method of claim 2, further comprising: sending second configuration information to the second communication node, wherein the second configuration information is used to indicate a correspondence between sensing measurement data and a model identifier of the second communication node.

3. The method of claim 1, wherein, The first sensing measurement data is determined by the second communication node according to the to-be-trained model identifier and the second configuration information. The second configuration information is used to indicate at least one of the following mapping relationships: a mapping relationship between radar cross section (RCS) information and a model identifier; 5. The method of claim 4, wherein, a mapping relationship between a Doppler range and a model identifier; 6. The method of claim 4, wherein, a mapping relationship between a sensing range and a model identifier; a mapping relationship between a sensing area and a model identifier; a mapping relationship between a sensing service and a model identifier; a mapping relationship between a sensing mode and a model identifier; a mapping relationship between a sensing target and a model identifier; a mapping relationship between a second communication node and a model identifier; a mapping relationship between a second communication node group and a model identifier; a mapping relationship between a range where a second communication node is located and a model identifier; a mapping relationship between a range where a sensing signal sending node corresponding to a second communication node is located and a model identifier; a mapping relationship between an area where a second communication node is located and a model identifier; a mapping relationship between an area where a sensing signal sending node corresponding to a second communication node is located and a model identifier; a mapping relationship between beam information of a second communication node and a model identifier; a mapping relationship between a sensing exclusion range and a model identifier; a mapping relationship between a sensing exclusion area and a model identifier; a mapping relationship between a sensing exclusion node and a model identifier. The first configuration information comprises data requirements and / or quality of service (QoS) of the to-be-trained model. The sensing information further comprises quality indication information of the first sensing measurement data, wherein the quality indication information is used to indicate whether the first sensing measurement data meets the data requirements and / or the QoS of the to-be-trained model.

8. The method of claim 1, further comprising: receiving a sensing request sent by a sensing service request entity; and determining the first configuration information according to the sensing request.

7. The method of claim 1, wherein, The sensing request comprises at least one of the following: a sensing area, a sensing scenario, a sensing type, and a sensing requirement. The first configuration information is used to indicate a type of sensing measurement data, wherein the type of sensing measurement data comprises at least one of the following: a channel impulse response, channel power delay information, and channel delay information. The first configuration information is used to indicate a type of data label of sensing measurement data. The sensing information further comprises a data label of the first sensing measurement data. ​ 9. The method of claim 7, wherein, ​ 10. The method of claim 1, wherein, ​ 11. The method of claim 1, wherein, ​ ​ The data label of the first perception measurement data includes at least one of the following: a region identifier of a perception region, indication information indicating whether there is a perception target in the perception region, a number of perception targets in the perception region, position information of each perception target, speed information of each perception target, a horizontal position of each perception target, a vertical position of each perception target, speed accuracy of each perception target, a shape of each perception target, an attribute of each perception target, RCS information of each perception target, a valid time of the data label, an identifier of a perception target, position information of a perception target, speed information of a perception target, a horizontal position of a perception target, a vertical position of a perception target, speed accuracy of a perception target, a shape of a perception target, an attribute of a perception target, or RCS information of a perception target. The data label of the first perception measurement data includes measurement information.

12. The method of claim 1, wherein, The first configuration information is used to indicate a number and / or proportion of perception measurement data with data labels; or The first configuration information is used to indicate a number and / or proportion of perception measurement data without data labels; or The first configuration information is used to indicate that the perception measurement data has data labels; or The first configuration information is used to indicate that the perception measurement data does not have data labels.

13. The method of claim 1, wherein, The first perception measurement data includes: only environmental channel measurement data and one or more channel measurement data in an environment with a perception reference node; or The first perception measurement data includes: one or more differential measurement data, wherein each differential measurement data is differential data of channel measurement data in an environment with a perception reference node and only environmental channel measurement data; or The first perception measurement data includes: one or more channel measurement data in an environment with a perception reference node.

14. The method of claim 1, wherein, The perception information further 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 location of the perception signal sending node corresponding to the second communication node, a number of perception reference nodes, a location of each perception reference node, a speed of each perception reference node, and an attribute of each perception reference node.

15. The method of claim 1, wherein, The first perception measurement data is 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: a number of perception signal sending nodes in channel measurement, a number of time slots in channel measurement, a number of symbols in channel measurement, a number of perception resources in channel measurement, a number of perception resource sets in channel measurement, a number of antenna port pairs in channel measurement, and a number of sampling points in channel measurement.

16. The method of claim 1, wherein, The reference time of the first perception measurement data is T0+t RS ; wherein, T0 is the starting time of system frame number SFN0, t RS = (10n f +n sf ) × 10 -3 , n f represents the system frame number of the perception signal received by the second communication node, and n sf represents the subframe number of the perception signal received by the second communication node.

17. The method of claim 1, wherein, 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 the second communication node; an identifier of a second communication node group; an identifier of a perception signal sending node corresponding to the second communication node; an identifier of a group of sensing signal sending nodes corresponding to the second communication node; an identifier of a resource of the sensing signal corresponding to the second communication node; an identifier of a resource set of the sensing signal corresponding to the second communication node; an identifier of a resource of the sensing information; an identifier of a resource set of the sensing information; a requirement of a delay time of the sensing information and / or the sensing signal; a time-frequency resource of the sensing information and / or the sensing signal in a non-periodic reporting scenario; periodic information of the sensing information and / or the sensing signal in a periodic reporting scenario.

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

19. The method of claim 18, wherein, The signal reporting mode update configuration information comprises at least one of: an identifier of a sensing signal sending node corresponding to the second communication node; an identifier of an updated sensing signal sending node corresponding to the second communication node; updated periodic information of the sensing measurement data and / or the sensing signal in a periodic reporting scenario; a quality requirement of the sensing measurement data; a first path and a plurality of additional paths of the sensing signal of the sensing signal sending node corresponding to the second communication node; sensing measurement data of the first path and the plurality of additional paths of the second communication node; a power threshold of a sampling point of the sensing signal corresponding to the second communication node; a power threshold of a sampling point of the sensing measurement data.

20. The method of claim 1, further comprising: receiving request assistance information sent by the second communication node; sending, to the second communication node, assistance information according to the request assistance information; wherein the assistance information comprises at least one of: related information of the sensing signal corresponding to the second communication node, related information of a sensing signal preferentially measured in the sensing signal corresponding to the second communication node, related information of the sensing signal sending node corresponding to the second communication node, and a type of the assistance information.

21. The method of claim 1, further comprising: training a to-be-trained model according to the first sensing measurement data to obtain a sensing model; inputting each third sensing measurement data into the sensing model to obtain an inference result; determining an evaluation result of the sensing model according to a plurality of the inference results.

22. The method of claim 21, wherein, The determining the evaluation result of the sensing model according to the plurality of the inference results comprises: determining the evaluation result of the sensing model according to a number of the inference results located in a range corresponding to a QoS requirement; or determining the evaluation result of the sensing model according to whether a difference degree between a real sensing result and each of the inference results meets a preset threshold, wherein the preset threshold is used to indicate a position difference threshold of a sensing target or a speed difference threshold of the sensing target.

23. The method of claim 22, further comprising: When the inference result comprises a perception result and a confidence level, a range of the inference result is determined according to the perception result and the confidence level, and a number of inference results located in a range corresponding to the QoS requirement is determined according to the range of the inference result and the range corresponding to the QoS requirement. Or, When the inference result comprises a perception result, a range of the real perception result is determined according to the real perception result and the preset threshold, and whether a difference degree between the real perception result and each inference result meets a preset threshold is determined according to the range of the real perception result and a positional relationship of the inference result.

24. The method of claim 3, further comprising: receiving a preset threshold sent by a service side or a perception service request entity, wherein the preset threshold is used to evaluate an inference 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 a difference degree between the inference result and a real perception result meets the preset threshold.

25. The method of claim 3, further comprising: receiving monitoring requirement configuration information sent by a service side or a perception service request entity, wherein the monitoring requirement configuration information comprises at least one of a starting time and a period of model monitoring, a response time of model monitoring, a number of inferences required for each model monitoring, and a timeliness of each model monitoring.

26. An information receiving method applied to a second communication node, the method comprising: receiving first configuration information sent by a first communication node; determining perception information according to the first configuration information, wherein the perception information comprises first perception measurement data; sending the perception information to the first communication node.

27. The method of claim 26, wherein, The first configuration information is used to indicate a to-be-trained model identifier.

28. The method of claim 26, wherein, The first perception measurement data is used to train the to-be-trained model to obtain a perception model.

29. A communication node, comprising: a processor; the processor is configured to implement the information sending method of any one of claims 1 to 25 or the information receiving method of any one of claims 26 to 28 when executing a computer program.

30. A computer readable storage medium storing a computer program, wherein, the computer program is configured to implement the information sending method of any one of claims 1 to 25 or the information receiving method of any one of claims 26 to 28 when executed by the processor.

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