Information transmission method and apparatus, device, and storage medium

Abstract

An information transmission method and apparatus, a device, and a storage medium, relating to the technical field of communications. The method is executed by a first sensing node. The method comprises: sending at least one first sensing result to a second sensing node, wherein the at least one first sensing result is statistical features determined on the basis of a first number of sensing signals (410). The first sensing node sends the statistical features of the first number of sensing signals to the second sensing node instead of instantaneous features of the first number of sensing signals. By converting the reporting of the instantaneous features of the original first number of sensing signals into the reporting of a few statistical features, resource overhead is reduced, and for some typical sensing tasks, the reporting of the statistical features is also more robust and accurate than the reporting of the instantaneous features in detection or recognition of a sensing target.

Description

Information transmission methods, devices, equipment and storage media Technical Field

[0001] This application relates to the field of communication technology, and in particular to an information transmission method, apparatus, device, and storage medium. Background Technology

[0002] Sensing integration refers to the fusion of communication and sensing functions, enabling future communication systems to simultaneously possess both communication and sensing capabilities. In a sensing system, sensing nodes (such as sensing signal receiving nodes) receive sensing signals, derive sensing information from these signals, and feed this information back to the nodes responsible for processing the sensing information. After performing sensing operations, the sensing nodes inform the sensing control nodes of the sensing results through feedback, thereby supporting the sensing control nodes in controlling and managing sensing services and meeting their requirements. Further research and discussion are needed to improve the accuracy and robustness of sensing feedback.

[0003] Summary of the Invention

[0004] This application provides an information transmission method, apparatus, device, and storage medium. The technical solutions provided by this application are as follows:

[0005] According to one aspect of the embodiments of this application, an information transmission method is provided, the method being executed by a first sensing node, the method comprising:

[0006] Send at least one first perception result to the second sensing node, the at least one first perception result being a statistical feature determined based on a first number of sensing signals.

[0007] According to one aspect of the embodiments of this application, an information transmission method is provided, the method being executed by a second sensing node, the method comprising:

[0008] Receive at least one first perception result sent by a first perception node, wherein the at least one first perception result is a statistical feature determined based on a first number of perception signals.

[0009] According to one aspect of the embodiments of this application, an information transmission apparatus is provided, the apparatus comprising:

[0010] The transmitting module is used to transmit at least one first sensing result to the second sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0011] According to one aspect of the embodiments of this application, an information transmission apparatus is provided, the apparatus comprising:

[0012] A receiving module is configured to receive at least one first sensing result sent by a first sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0013] According to one aspect of the embodiments of this application, a communication device is provided, the communication device including a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the above-described information transmission method.

[0014] According to one aspect of the embodiments of this application, a computer-readable storage medium is provided, wherein the storage medium stores a computer program for execution by a processor to implement the above-described information transmission method.

[0015] According to one aspect of the embodiments of this application, a chip is provided, the chip including programmable logic circuits and / or program instructions, which, when the chip is running, are used to implement the above-described information transmission method.

[0016] According to one aspect of the embodiments of this application, a computer program is provided, the computer program including computer instructions stored in a computer-readable storage medium, and a processor reading from the computer-readable storage medium and executing the computer instructions to implement the above-described information transmission method.

[0017] According to one aspect of the embodiments of this application, a computer program product is provided, the computer program product including computer instructions stored in a computer-readable storage medium, and a processor reading from the computer-readable storage medium and executing the computer instructions to implement the above-described information transmission method.

[0018] The technical solutions provided in this application embodiment may have the following beneficial effects:

[0019] The first sensing node sends statistical features of a first number of sensing signals to the second sensing node, instead of instantaneous features of the first number of sensing signals. Converting the reporting of instantaneous features of the first number of sensing signals into the reporting of a few statistical features reduces resource overhead, and for some typical sensing tasks, statistical features are more robust and accurate in target detection or recognition compared to instantaneous feature reporting. Attached Figure Description

[0020] Figure 1 is a schematic diagram of a network architecture provided in one embodiment of this application;

[0021] Figure 2 is a schematic diagram of eight sensing modes provided in one embodiment of this application;

[0022] Figure 3 is a schematic diagram of a sensing system including multiple sensing nodes provided in an embodiment of this application;

[0023] Figure 4 is a flowchart of an information transmission method provided in an embodiment of this application;

[0024] Figure 5 is a schematic diagram of sensing signal reception provided in an embodiment of this application;

[0025] Figure 6 is a schematic diagram of sensing signal reception provided in another embodiment of this application;

[0026] Figure 7 is a block diagram of an information transmission device provided in an embodiment of this application;

[0027] Figure 8 is a block diagram of an information transmission device provided in another embodiment of this application;

[0028] Figure 9 is a schematic diagram of the structure of a communication device provided in an embodiment of this application. Detailed Implementation

[0029] To make the objectives, technical solutions, and advantages of this application clearer, the embodiments of this application will be described in further detail below with reference to the accompanying drawings.

[0030] The network architecture and business scenarios described in the embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided in the embodiments of this application. As those skilled in the art will know, with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

[0031] The technical solutions of this application embodiment can be applied to various communication systems, such as: Global System for Mobile Communication (GSM) system, Code Division Multiple Access (CDMA) system, Wideband Code Division Multiple Access (WCDMA) system, General Packet Radio Service (GPRS), Long Term Evolution (LTE) system, Advanced Long Term Evolution (LTE-A) system, New Radio (NR) system, evolution of NR system, LTE-based access to unlicensed spectrum (LTE-U) system, NR-based access to unlicensed spectrum (NR-U) system, Non-Terrestrial Networks (NTN) system, Universal Mobile Telecommunication System (UMTS), Wireless Local Area Networks (WLAN), and Wireless Fidelity (WF). Fidelity (WiFi), 5th-Generation (5G) systems, B5G (Beyound 5G) systems, 6th-Generation (6G) systems, or other communication systems.

[0032] Traditional communication systems typically support a limited number of connections and are easy to implement. However, with the development of communication technology, mobile communication systems will not only support traditional communication but also, for example, device-to-device (D2D) communication, machine-to-machine (M2M) communication, machine-type communication (MTC), vehicle-to-vehicle (V2V) communication, or vehicle-to-everything (V2X) communication. The embodiments of this application can also be applied to these communication systems.

[0033] The communication system in this application embodiment can be applied to carrier aggregation (CA) scenarios, dual connectivity (DC) scenarios, and standalone (SA) network deployment scenarios.

[0034] The communication system in this application embodiment can be applied to unlicensed spectrum, wherein unlicensed spectrum can also be considered as shared spectrum; or, the communication system in this application embodiment can also be applied to licensed spectrum, wherein licensed spectrum can also be considered as non-shared spectrum.

[0035] The embodiments of this application can be applied to both non-terrestrial networks (NTN) and terrestrial networks (TN). NTN typically uses satellite communication to provide communication services to terrestrial users. Currently, NTN systems include NR-NTN and IoT-NTN systems, and other NTN systems may be included in the future.

[0036] Please refer to Figure 1, which shows a schematic diagram of a network architecture 100 provided in one embodiment of this application. The network architecture 100 may include: a terminal device 10, an access network device 20, and a core network element 30.

[0037] Terminal device 10 can refer to UE (User Equipment), access terminal equipment, user unit, user station, mobile station, mobile station, remote station, remote terminal equipment, mobile device, wireless communication equipment, user agent, or user device. In some embodiments, terminal device 10 can also be a cellular phone, cordless phone, SIP (Session Initiation Protocol) phone, WLL (Wireless Local Loop) station, PDA (Personal Digital Assistant), handheld device with wireless communication capabilities, computing device or other processing device connected to a wireless modem, vehicle-mounted device, wearable device, terminal device in 5GS (5th Generation System), or terminal device in the future evolved PLMN (Public Land Mobile Network), etc., and this application embodiment is not limited to these. For ease of description, the devices mentioned above are collectively referred to as terminal devices. The number of terminal devices 10 is usually multiple, and one or more terminal devices 10 can be distributed within the cell managed by each access network device 20. The term "terminal device" can also be abbreviated as "terminal device" or "UE," and those skilled in the art will understand its meaning.

[0038] Access network device 20 is a device deployed in an access network to provide wireless communication functionality to terminal device 10. Access network device 20 may include various forms of macro base stations, micro base stations, relay stations, access points, etc. In systems employing different wireless access technologies, the name of the device with access network device functionality may differ; for example, in a 5G NR system, it is called gNodeB or gNB. As communication technologies evolve, the name "access network device" may change. For ease of description, in this embodiment, the aforementioned devices providing wireless communication functionality to terminal device 10 are collectively referred to as access network devices. In some embodiments, a communication relationship can be established between terminal device 10 and core network element 30 through access network device 20. For example, in an LTE (Long Term Evolution) system, access network device 20 may be one or more eNodeBs in an EUTRAN (Evolved Universal Terrestrial Radio Access Network) or EUTRAN; in a 5G NR system, access network device 20 may be one or more gNBs in a RAN (Radio Access Network). In the embodiments of this application, unless otherwise specified, the term "network device" refers to access network device 20, such as a base station.

[0039] Core network element 30 is a network element deployed in the core network. Its main functions are to provide user connectivity, manage users, and bear services, acting as an interface to external network devices. For example, core network elements in a 5G NR system may include AMF (Access and Mobility Management Function) entities, UPF (User Plane Function) entities, and SMF (Session Management Function) entities.

[0040] In some embodiments, the access network device 20 and the core network element 30 communicate with each other via some air interface technology, such as the NG interface in a 5G NR system. The access network device 20 and the terminal device 10 communicate with each other via some air interface technology, such as the Uu interface.

[0041] The "5G NR system" in this application embodiment can also be referred to as a 5G system or an NR system, but those skilled in the art will understand its meaning. The technical solutions described in this application embodiment can be applied to LTE systems, 5G NR systems, and subsequent evolution systems of 5G NR systems (such as B5G (Beyound 5G) systems, 6G systems (6th Generation System), and other communication systems such as NB-IoT (Narrow Band Internet of Things) systems. This application does not limit these applications.

[0042] In this embodiment, the network device can provide services to a cell. The terminal device communicates with the network device through the transmission resources (e.g., frequency domain resources, or spectrum resources) on the carrier used by the cell. The cell can be the cell corresponding to the network device (e.g., a base station). The cell can belong to a macro base station or to a base station corresponding to a small cell. The small cell can include: metro cell, micro cell, pico cell, femto cell, etc. These small cells have the characteristics of small coverage area and low transmission power, and are suitable for providing high-speed data transmission services.

[0043] Before introducing the technical solution of this application, the relevant technologies involved in this application will be described first. The following relevant technologies are optional solutions and can be arbitrarily combined with the technical solutions of the embodiments of this application, all of which fall within the protection scope of the embodiments of this application. The embodiments of this application include at least some of the following contents.

[0044] Synesthesia

[0045] Next-generation networks (such as 6G networks) are expected to be a fusion of mobile communication networks, sensing networks, and computing networks. In a narrow sense, a sensing network refers to a system with capabilities such as target localization (range measurement, velocity measurement, angle measurement), target imaging, target detection, target tracking, and target recognition. In a broad sense, a sensing network refers to a system that possesses the attributes and states of all services, networks, users, terminals, and environmental objects. From the perspective of sensing applications, sensing can be categorized as follows:

[0046] Outdoor, wide-area, or local applications include smart cities (e.g., weather monitoring), smart transportation / high-speed rail (e.g., high-precision map building, road monitoring, intrusion detection), and low-altitude applications (e.g., drone monitoring and obstacle avoidance, flight intrusion detection, flight path management).

[0047] Indoor or local area applications include smart home and health management (e.g., respiratory monitoring, intrusion detection, gesture / posture recognition, motion monitoring, movement tracking, etc.) and smart factories (e.g., intrusion detection, material detection, defect detection, etc.).

[0048] The above are just examples to provide some classifications of sensing applications; the application areas of sensing are not limited to the examples above.

[0049] Wireless communication and sensing are two major applications of modern radio frequency (RF) technology. Sensing utilizes radio waves to detect parameters of the physical environment to achieve environmental perception such as target localization, action recognition, and imaging. Traditionally, sensing and wireless communication exist independently, and this separate design leads to a waste of wireless spectrum and hardware resources. With the advent of B5G (Beyond 5G) and 6G, communication spectrum is moving towards millimeter waves, terahertz, and visible light communication. In the future, the spectrum of wireless communication will overlap with the spectrum of traditional sensing. Integrated communication and sensing technology merges these two functions. It can utilize the wireless resources of wireless communication to achieve sensing capabilities; it can leverage widely deployed cellular networks to achieve sensing services over larger areas; it can utilize base stations and multiple terminals for joint sensing to achieve higher sensing accuracy; and it can reuse wireless communication hardware modules to achieve sensing functions, reducing costs. In short, integrated communication and sensing technology enables future wireless communication systems to possess sensing capabilities, providing a foundation for the development of future smart transportation, smart cities, smart factories, drones, and other related businesses.

[0050] The "perception" mentioned in the embodiments of this application refers to the process of directly or indirectly obtaining perception information of a target or environment based on at least one perception signal such as sound waves, electromagnetic waves, and light waves (including but not limited to lasers). For example, by sending and receiving perception signals and measuring or otherwise processing the perception signals, perception information of the target or environment can be obtained, such as realizing services like positioning, ranging, speed measurement, angle measurement, target imaging, target detection, target tracking, and target recognition.

[0051] In addition, the term "perception" mentioned in the embodiments of this application can be replaced by any other word that can express the meaning of perception, such as positioning, ranging, speed measurement, angle measurement, target imaging, target detection, target tracking, and target recognition.

[0052] The nodes involved in sensing are as follows:

[0053] Sensing transmitting node: The node that transmits sensing signals.

[0054] Sensing receiving node: The node that receives the sensing signal.

[0055] Sensing Nodes: The sensing sending node and the sensing receiving node are collectively referred to as sensing nodes, which are the nodes that perform sensing.

[0056] Perception Management Node: A node that manages and controls perception tasks. The perception management node configures perception tasks for the perception nodes, and the perception nodes report the perception results back to the perception management node after executing the perception tasks.

[0057] Perception trigger node: The node that initiates perception, sets the configuration of the perception scene, and parses the perception feedback sent by the perception node.

[0058] Perception can be divided into 8 modes, as shown in Figure 2.

[0059] Mode 1, Base Station Self-Transmitting and Receiving Sensing: The base station transmits sensing signals and receives echo signals. In Mode 1, the sensing transmitting node and the sensing receiving node are the same base station. That is, the base station transmits sensing signals to the sensing target, and after the sensing signal is reflected by the sensing target, the same base station receives the echo signal (i.e., the sensing signal after reflection by the sensing target).

[0060] Mode 2, Terminal Self-Sensing: The terminal sends a sensing signal and receives the echo signal. In Mode 2, the sensing sending node and the sensing receiving node are the same terminal. That is, the terminal sends a sensing signal to the sensing target, and after the sensing signal is reflected by the sensing target, the same terminal receives the echo signal.

[0061] Mode 3, Base Station Cooperative Sensing: One base station (Base Station A in the diagram) transmits a sensing signal, and another base station (Base Station B in the diagram) receives the echo signal. In Mode 3, the sensing transmitting node and the sensing receiving node are different base stations. That is, one base station sends a sensing signal to the sensing target, and after the sensing signal is reflected by the sensing target, the echo signal is received by another base station.

[0062] Mode 4, Terminal Collaborative Sensing: One terminal (terminal A in the figure) sends a sensing signal, and another terminal (terminal B in the figure) receives the echo signal. In Mode 4, the sensing transmitting node and the sensing receiving node are different terminals. That is, one terminal sends a sensing signal to the sensing target, and after the sensing signal is reflected by the sensing target, the echo signal is received by another terminal.

[0063] Mode 5, Base Station-Terminal Cooperative Sensing: The base station sends a sensing signal, and the terminal receives the echo signal. In Mode 5, the sensing transmitting node is the base station, and the sensing receiving node is the terminal. That is, the base station sends a sensing signal to the sensing target, and after the sensing signal is reflected by the sensing target, the terminal receives the echo signal.

[0064] Mode 6, Terminal-Base Station Collaborative Sensing: The terminal sends a sensing signal, and the base station receives the echo signal. In Mode 6, the sensing sending node is the terminal, and the sensing receiving node is the base station. That is, the terminal sends a sensing signal to the sensing target, and after the sensing signal is reflected by the sensing target, the base station receives the echo signal.

[0065] In Mode 7, the sensing target is the sensing signal transmitting node. In Mode 7, the sensing transmitting node is the terminal, and the sensing receiving node is the base station. Since the sensing target (terminal) is the sensing transmitting node, the sensing signal, after being sent from the sensing transmitting node (terminal) to the sensing receiving node (base station), does not require reflection and can be directly analyzed by the base station after reception.

[0066] In Mode 8, the sensing target is the sensing signal receiving node. In Mode 8, the sensing transmitting node is the base station, and the sensing receiving node is the terminal. Since the sensing target (terminal) is the sensing receiving node, after receiving the sensing signal, the terminal needs to feed back the sensing result to the base station so that the base station is aware of the sensing result.

[0067] The nodes that transmit and receive sensing signals can be collectively referred to as sensing nodes. In the eight sensing modes mentioned above, only one or a pair of sensing nodes exist. However, in wireless communication systems, the number of terminal devices (such as mobile phones and IoT devices) is large. When multiple sensing nodes (i.e., base stations, mobile phones, IoT devices, etc. that transmit and / or receive sensing signals) exist around a sensed object, the joint participation of multiple sensing nodes can improve the accuracy of sensing and meet more complex sensing service requirements, providing richer sensing services. As shown in Figure 3, when multiple sensing nodes exist in the system (as shown in Figure 3, sensing node 1, sensing node 2, and sensing node 3), a sensing control node 31 may exist to control and manage the entire sensing service to improve efficiency. This sensing control node 31 can be a base station, a terminal device, or a core network element.

[0068] After performing a sensing operation, the sensing node informs the sensing control node of the sensing results through sensing feedback, thereby supporting the sensing control node's control and management of sensing services and meeting the needs of these services. In real-world scenarios, some sensing tasks are sporadic or non-real-time. Utilizing the statistical characteristics of echo signal power, amplitude, and phase is more robust and accurate than instantaneous characteristics. In such cases, the sensing results fed back by the sensing node should be adaptively adjusted to statistical characteristics, which is more efficient, accurate, and resource-efficient than feeding back instantaneous characteristics at multiple moments. Therefore, this application provides a statistical characteristic feedback method in a sensor-integrated system.

[0069] Please refer to Figure 4, which shows a flowchart of an information transmission method provided in one embodiment of this application. The method is performed by a first sensing node. The method includes the following step 410.

[0070] Step 410: The first sensing node sends at least one first sensing result to the second sensing node. The at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0071] 1. First sensing node and second sensing node

[0072] During the perception process, there exist at least one of the following types of nodes:

[0073] 1) Sensing nodes, including sensing signal transmitting nodes and sensing signal receiving nodes, wherein the sensing signal transmitting node and sensing signal receiving node can be the same entity.

[0074] 2) Perceive the target.

[0075] 3) Sensing control node. The functions of the sensing control node include, but are not limited to: managing sensing services; sending configuration information to sensing nodes and / or sensed targets to configure the transmission / reception of sensing measurement signals or sensing signals; configuring sensing nodes and / or sensed targets to report measurement results and / or sensing results; and sending sensing auxiliary information to sensing nodes and / or sensed targets. Furthermore, the sensing control node can be the same entity as the sensed target, the sensing signal transmitting node, or the sensing signal receiving node; it can also be a separate entity.

[0076] In some embodiments, the first sensing node is a sensing signal receiving node, and the second sensing node is a sensing signal transmitting node. The second sensing node transmits a first number of sensing signals, and the first sensing node receives the sensing signals reflected by the sensing target, determines a first sensing result based on the sensing signals, and then transmits the first sensing result to the second sensing node.

[0077] In some embodiments, the first sensing node is a sensing signal receiving node, and the second sensing node is a sensing control node. The first sensing node receives the sensing signal reflected by the sensing target, determines a first sensing result based on the sensing signal, and then sends the first sensing result to the sensing control node.

[0078] In some embodiments, the first sensing node and the second sensing node may be the same device or different devices. For example, the first sensing node and the second sensing node may be the same terminal device or the same base station. For example, the first sensing node may be terminal device 1 and the second sensing node may be terminal device 2, or the first sensing node may be a terminal device and the second sensing node may be a base station. The first sensing node and the second sensing node can be referenced to the situation shown in Figure 2, and will not be listed individually here.

[0079] 2. First perception results

[0080] In some embodiments, the first sensing result is a statistical characteristic determined by the first sensing node based on a first number of sensing signals. In some embodiments, the first sensing result is a statistical characteristic determined by the first sensing node based on first channel information of the first number of sensing signals. The first channel information is the channel information of the sensing signals. In some embodiments, the first channel information is obtained by direct measurement based on the first number of sensing signals, such as amplitude, phase, etc. In some embodiments, the first channel information is obtained after signal processing based on the first number of sensing signals. Signal processing may include linear or nonlinear transformations, such as Fourier transform. The statistical characteristics are calculated from the first channel information.

[0081] In some embodiments, the first channel information may include one or more of the following: amplitude, phase, phase difference, power, and received signal strength. The first channel information is used to characterize relevant information about the sensed signal received by the first sensing node. For example, amplitude refers to the strength or magnitude of the sensed signal; in a sine wave, amplitude typically refers to the distance between the peak and zero. Phase refers to the time offset of a specific point in the sensed signal, usually measured in degrees or radians. Phase is the temporal offset of the sensed signal and can affect the superposition effect of the sensed signals. Phase difference refers to the difference in phase between two or more sensed signals (or two or more antennas, two or more paths). Phase difference can be used for synchronization signals, estimating channel characteristics, or performing signal demodulation. Power is the rate of energy transmission during the transmission of the sensed signal, usually measured in watts. Transmit power and received power are key factors affecting the coverage and communication quality of the sensed signal. Received signal strength refers to the power of the sensed signal received at the receiving end, usually expressed in decibels (dBm) relative to a certain reference value (such as 1 milliwatt). Received signal strength affects the demodulation quality of the sensed signal and the reliability of communication.

[0082] The technical solution provided in this application embodiment involves a first sensing node sending statistical features of a first number of sensing signals to a second sensing node, instead of instantaneous features of the first number of sensing signals. Converting the reporting of instantaneous features of the original first number of sensing signals into the reporting of a few statistical features reduces resource overhead. Furthermore, for some typical sensing tasks, reporting statistical features is more robust and accurate in target detection or recognition compared to reporting instantaneous features.

[0083] I. Regarding the first quantity of perceived signals

[0084] 1. Regarding the first quantity

[0085] In some embodiments, the first quantity may be predefined or preconfigured. For example, the first quantity is defined by a standard.

[0086] In some embodiments, the first quantity is configured by the second sensing node. Exemplarily, the first sensing node receives first information sent by the second sensing node, the first information indicating the first quantity. Exemplarily, the first information includes a first indication field, which indicates the value of the first quantity. For example, the first information indicates that the first quantity is 10.

[0087] In some embodiments, the first quantity is determined based on sensing channel-related parameters, which are used to determine the time-domain or frequency-domain resources occupied by the sensing signal. For example, the sensing signal-related parameters include a first parameter and a second parameter, and the first sensing node determines the first quantity based on the first parameter and the second parameter.

[0088] 2. The first number of sensing signals are uniformly arranged in the time domain.

[0089] In one example, the parameters related to the sensing signals are used to determine the temporal resources occupied by the sensing signals. The first parameter is a first time window, and the second parameter is a first time unit. The first time window is the duration of transmission of a first number of sensing signals, which is the total transmission time of the first number of sensing signals. The first time unit is the time interval between transmissions of the first number of sensing signals, which is the time interval between two adjacent sensing signals in the first number of sensing signals.

[0090] For example, after the first sensing node determines the first time window and the first time domain unit, it determines the first quantity based on the first time window and the first time domain unit. For example, the first quantity of sensing signals is uniformly arranged in the time domain, and the first quantity is the quotient of the first time window and the first time domain unit.

[0091] 3. The first number of sensed signals are uniformly arranged in the frequency domain.

[0092] In one example, the sensing signal-related parameters are used to determine the frequency domain resources occupied by the sensing signals. Exemplarily, the first parameter is a first subband length, and the second parameter is a first subband unit. The first subband length indicates the bandwidth occupied by a first number of sensing signals, which is the total bandwidth occupied by the first number of sensing signals. The first subband unit is the subcarrier spacing between the subcarriers occupied by the first number of sensing signals, that is, the subcarrier spacing between two adjacent sensing signals in the first number of sensing signals.

[0093] For example, after the first sensing node determines the first sub-band length and the first sub-band unit, it determines a first quantity based on the first sub-band length and the first sub-band unit. For example, the first quantity of sensing signals is uniformly arranged in the frequency domain, the first quantity of sensing signals is uniformly arranged in the time domain, and the first quantity is the quotient of the first time window and the first time domain unit.

[0094] In some embodiments, the first parameter and / or the second parameter may be predefined or preconfigured. For example, the first parameter and / or the second parameter may be standard-defined.

[0095] In some embodiments, the first parameter and / or the second parameter are configured by the second sensing node. Exemplarily, the first sensing node receives first information sent by the second sensing node, the first information indicating parameters related to the sensing signal. Exemplarily, the first information includes a second indication field and a third indication field, wherein the second indication field indicates the first parameter and the third indication field indicates the second parameter.

[0096] In some embodiments, the first information is used for perception reporting configuration. That is, the first information is used to configure relevant information for reporting the first perception result, and the relevant information may include a first quantity, a first parameter, a second parameter, etc.

[0097] The above method provides a way for the second sensing node to configure relevant information of the sensing signal for the first sensing node.

[0098] II. On how to determine at least one first perception result

[0099] 1. Determine multiple first perception results

[0100] In some embodiments, the first sensing node receives a second number of sensing signals within a second time window. After the sensing signal transmitting node transmits the sensing signal, the sensing signal is reflected by the sensing target and then received by the first sensing node. During this process, there is a transmission time for the sensing signal. Therefore, if the first sensing node receives the sensing signal within the first time window, it may not be able to receive all the sensing signals. Moreover, the number of sensing signals may increase after being reflected by the sensing target, for example, the same sensing signal may be reflected in different directions.

[0101] In some embodiments, the second time window may be predefined or preconfigured. For example, the second time window is standard-defined.

[0102] In some embodiments, the second time window is configured by the second sensing node. Exemplarily, the first sensing node receives second information sent by the second sensing node, the second information indicating the second time window. Exemplarily, the second information includes a fourth indication field, the fourth indication field indicating the second time window.

[0103] In some embodiments, the second information is used to configure sensing measurement resources, which include a second time window. In some embodiments, the sensing measurement resources include time-frequency resources for the first sensing node to perform sensing measurements. In one example, the first information and the second information can be sent simultaneously. Exemplarily, the first information includes the second information. In one example, the first information and the second information are sent separately.

[0104] 1.1 The second quantity equals the first quantity

[0105] In some embodiments, when the second quantity equals the first quantity, the second quantity of sensing signals is used to determine a first sensing result. When the second quantity equals the first quantity, the first sensing node can determine a first sensing result based on the first quantity of sensing signals and send that sensing result to the second sensing node.

[0106] 1.2, The second quantity is greater than the first quantity.

[0107] In some embodiments, when the second number is greater than the first number, the second number of sensing signals is used to determine a plurality of first sensing results.

[0108] In some embodiments, when the second quantity is greater than the first quantity, the second quantity of sensing signals is divided into multiple sensing signal groups, and each of the multiple sensing signal groups is used to determine a first sensing result.

[0109] In one example, the multiple sensing signal groups are evenly divided into units of a first quantity. For example, a second quantity of sensing signals is evenly divided into multiple sensing signal groups, each group comprising the first quantity of sensing signals, with different sensing signal groups comprising different quantities of sensing signals.

[0110] In one example, the multiple sensing signal groups are divided by sliding a first quantity as the unit and a third quantity as the step size. For example, a second quantity of sensing signals is divided into multiple sensing signal groups, each sensing signal group including the first quantity of sensing signals. The first sensing signals included in each sensing signal group are spaced apart by a third quantity of sensing signals.

[0111] In some embodiments, the third quantity may be predefined or preconfigured. For example, the third quantity is defined by a standard.

[0112] In some embodiments, the third quantity may be configured by the second sensing node. Exemplarily, the first sensing node receives first information sent by the second sensing node. Exemplarily, the first information includes a fifth indication field, which indicates the third quantity.

[0113] 2. Determine at least one first perception result from among multiple first perception results.

[0114] In some embodiments, the first sensing node may report the plurality of first sensing results, or may select a portion of the plurality of first sensing results to report.

[0115] 2.1 Determine multiple first-perception results as at least one first-perception result.

[0116] In some embodiments, after determining multiple first sensing results, the first sensing node sends all of the multiple first sensing results to the second sensing node.

[0117] 2.2. Among multiple first perception results, the first perception result that satisfies the first condition is determined as at least one first perception result.

[0118] In some embodiments, after determining multiple first perception results, the first sensing node filters the multiple first perception results based on a first condition, and determines the first perception result that meets the first condition as at least one first perception result.

[0119] In some embodiments, the first condition may be predefined or preconfigured. For example, the first condition is defined by a standard.

[0120] In some embodiments, the first condition is configured by the second sensing node. Exemplarily, the first sensing node receives first information sent by the second sensing node. Exemplarily, the first information includes a sixth indication field, which is used to indicate the first condition.

[0121] In some embodiments, the first condition includes one or more of the following:

[0122] The first perception result is ranked in the first P positions, where P is a positive integer;

[0123] The first perception result is ranked in the last Q positions, where Q is a positive integer;

[0124] The first perception result meets the threshold condition, which means that the statistical features included in the first perception result exceed or fall below the threshold corresponding to the statistical features.

[0125] In some embodiments, the first sensing result includes F statistical features out of N statistical features, where the N statistical features are determined by the first sensing node based on a set of sensing signals, and N and F are positive integers. In one example, F is a positive integer less than or equal to N. For example, the first sensing node determines 10 statistical features based on a set of sensing signals, and the first sensing result includes 5 of these 10 statistical features. This is mainly because some statistical features can be used to determine the signal strength of the sensing signals, but do not provide any help for subsequent sensing operations, therefore, it is unnecessary to report these statistical features, such as the mean.

[0126] 2.2.1 The first sensing node reports a limited number of first sensing results.

[0127] In one example, the ranking of the first sensing results is determined based on the M highest-priority statistical features out of N statistical features, where M is a positive integer. In some embodiments, the priority of the statistical features can be predefined or preconfigured. Exemplarily, the priority of the statistical features is defined by a standard. In some embodiments, the priority of the statistical features can be configured by the second sensing node. Exemplarily, the priority of the statistical features is indicated by first information. The first sensing node receives the first information sent by the second sensing node and determines the priority of the statistical features.

[0128] In some embodiments, when M equals 1, the ranking of the first sensing results is determined based on this statistical feature. For example, if the first sensing results are ranked from high to low, the first sensing node determines the first sensing result in the first P positions as at least one first sensing result. For example, if the first sensing results are ranked from low to high, the first sensing node determines the first sensing result in the last Q positions as at least one first sensing result. In some embodiments, the values ​​of P and Q can be the same or different.

[0129] In some embodiments, when M is greater than 1, the ranking of the first sensing results is determined based on the M statistical features. For example, the ranking is first based on the highest priority statistical feature among the M statistical features. If two statistical features have the same value, then the next highest priority statistical feature is used to rank the first sensing results corresponding to those two statistical features, ultimately resulting in a ranking of multiple first sensing results. For example, the ranking is first based on variance. Since the variances of first sensing result 1 and second sensing result 2 are the same, the mean squared error of first sensing result 1 and second sensing result 2 is used to rank them.

[0130] In one example, the ranking of the first perception results is determined based on M statistical features indicated out of N statistical features.

[0131] In some embodiments, the M statistical features are indicated by a second sensing node. Exemplarily, the second sensing node indicates the M statistical features when indicating a first condition. Exemplarily, the second sensing node indicates the M statistical features through first information.

[0132] In some embodiments, when M equals 1, the ranking of the first sensing results is determined based on this statistical feature. For example, if the first sensing results are ranked from high to low, the first sensing node determines the first sensing result in the first P positions as at least one first sensing result. For example, if the first sensing results are ranked from low to high, the first sensing node determines the first sensing result in the last Q positions as at least one first sensing result. In some embodiments, the values ​​of P and Q can be the same or different.

[0133] In some embodiments, when M is greater than 1, the ranking of the first sensing results is determined based on the M statistical features. For example, when indicating the M statistical features, the second sensing node also indicates the priority of each of the M statistical features. For example, the ranking is first based on the statistical feature with the highest priority among the M statistical features. If two statistical features have the same value, then the statistical feature with the next lower priority is used to rank the first sensing results corresponding to those two statistical features, ultimately resulting in a ranking of multiple first sensing results. For example, the ranking is first performed using variance. Since the variances of first sensing result 1 and second sensing result 2 are the same, the mean squared error of first sensing result 1 and second sensing result 2 is used to rank them.

[0134] 2.2.2 The number of first sensing results reported by the first sensing node is not limited.

[0135] In some embodiments, each statistical feature corresponds to a threshold, which will be referred to as a statistical feature threshold in the following embodiments for ease of description. For example, the i-th statistical feature among N statistical features corresponds to the i-th statistical feature threshold, where i is a positive integer less than or equal to N. A statistical feature satisfying a threshold condition can include the statistical feature exceeding the threshold corresponding to that statistical feature, or it can include the statistical feature being lower than the threshold corresponding to that statistical feature. Which one applies can be set based on the actual situation. For example, a larger value of a statistical feature indicates better signal quality; therefore, the statistical feature is determined to satisfy the threshold condition if it exceeds the threshold corresponding to that statistical feature. Conversely, a smaller value of a statistical feature indicates better signal quality; therefore, the statistical feature is determined to satisfy the threshold condition if it is lower than the threshold corresponding to that statistical feature.

[0136] In some embodiments, the first perception result satisfies a threshold condition, including one or more of the following:

[0137] All N statistical features satisfy the threshold condition;

[0138] Among N statistical features, M statistical features satisfy the threshold condition;

[0139] Among N statistical features, the M statistical features with the highest priority satisfy the threshold condition;

[0140] Among the M statistical features indicated by N statistical features, at least one statistical feature satisfies the threshold condition.

[0141] Where N is a positive integer, and F and M are positive integers less than or equal to N.

[0142] In one example, if all N statistical features meet the threshold condition, the first perception result is determined to meet the threshold condition, and the first perception node determines the perception result as at least one first perception node.

[0143] In one example, if M out of N statistical features satisfy a threshold condition, the first sensing result is determined to satisfy the threshold condition, and the first sensing node identifies this sensing result as at least one first sensing node. In some embodiments, the value of M can be predefined or preconfigured. For example, the value of M is defined by a standard. In some embodiments, the value of M can also be configured by a second sensing node. For example, the second sensing node configures the value of M using first information.

[0144] In one example, if the M highest-priority statistical features out of N statistical features satisfy a threshold condition, the first sensing result is determined to satisfy the threshold condition, and the first sensing node identifies this sensing result as at least one first sensing node. In some embodiments, the priority of the statistical features can be predefined or preconfigured. Exemplarily, the priority of the statistical features is defined by a standard. In some embodiments, the priority of the statistical features can be configured by a second sensing node. Exemplarily, the priority of the statistical features is indicated by first information. The first sensing node receives the first information sent by the second sensing node and determines the priority of the statistical features.

[0145] In one example, among the M statistical features indicated out of N statistical features, at least one statistical feature satisfies a threshold condition. The first sensing result is determined to satisfy the threshold condition, and the first sensing node identifies this sensing result as at least one first sensing node. In some embodiments, the M statistical features are indicated by a second sensing node. Exemplarily, the second sensing node indicates the M statistical features when indicating the first condition. Exemplarily, the second sensing node indicates the M statistical features through first information.

[0146] In some embodiments, the first sensing node preferentially sends a first type of first sensing result to the second sensing node. The number of first type statistical features included in the first type of first sensing result is greater than the number of first type statistical features included in at least one other first sensing result besides the first type of first sensing result. The first type of statistical feature refers to a statistical feature that meets a threshold condition.

[0147] For example, if the first perception result 1 includes 4 first-class statistical features and the first perception result 2 includes 5 first-class statistical features, then the first perception node will send the first perception result 2 to the second perception node first.

[0148] In one example, the number of first-class statistical features included in the first perception result refers to the number of first-class statistical features out of the F statistical features included in the first perception result. For example, the first perception result includes 8 statistical features, of which 4 are first-class statistical features.

[0149] In one example, the number of first-class statistical features included in the first perception result refers to the number of first-class statistical features among the N statistical features corresponding to the first perception result. For example, the first perception result corresponds to 8 statistical features, of which 6 are first-class statistical features, while the reported first perception result includes 4 statistical features.

[0150] 2.3. Among multiple first perception results, the first perception result corresponding to the third time window is determined as at least one first perception result.

[0151] In some embodiments, the third time window may be predefined or preconfigured. For example, the third time window is defined by a standard.

[0152] In some embodiments, the third time window may be configured by the second sensing node. For example, the second sensing node configures the third time window using first information.

[0153] In some embodiments, after determining multiple first sensing results, the first sensing node determines the first sensing result corresponding to a third time window as at least one first sensing result. In some embodiments, the first sensing result corresponding to the third time window means that the sensing signal corresponding to the first sensing result is received by the first sensing node within the third time window.

[0154] The above method provides a way for the first sensing node to determine the first sensing result to be reported based on statistical characteristics, so as to reduce the amount of data to be transmitted between the first sensing node and the second sensing node.

[0155] III. How to report the results of the first perception

[0156] 1. First Perceived Information

[0157] In some embodiments, the first sensing node sends first sensing information to the second sensing node, the first sensing information being used to indicate the sensing signal group corresponding to the first sensing result.

[0158] In one example, the first sensing information is used to indicate the identifier of the sensing signal group corresponding to the first sensing result. Exemplarily, the first sensing information is used to indicate the index of the sensing signal group corresponding to the first sensing result. Exemplarily, the index of the sensing signal group is determined according to the reception time of the first sensing signal in the sensing signal group; the earlier the reception time, the earlier the index.

[0159] In one example, the first sensing information is used to indicate the offset value of the sensing signal group corresponding to the first sensing result relative to the second time window. Exemplarily, the first sensing information is used to indicate the time-domain offset between the reception time of the j-th sensing signal in the sensing signal group and the start time of the second time window, where j is a positive integer. Exemplarily, the first sensing information is used to indicate the time-domain offset between the reception time of the j-th sensing signal in the sensing signal group and the end time of the second time window, where j is a positive integer.

[0160] In one example, the first sensing information is used to indicate the identifier of the j-th sensing signal in the sensing signal group corresponding to the first sensing result, where j is a positive integer. Exemplarily, the first sensing information is used to indicate the index of the first sensing signal in the sensing signal group corresponding to the first sensing result. Exemplarily, the first sensing information is used to indicate the index of the last sensing signal in the sensing signal group corresponding to the first sensing result.

[0161] In some embodiments, the first sensing information may be reported together with the first sensing result. For example, the first sensing information includes the first sensing result.

[0162] In some embodiments, the first sensing information and the first sensing result can be reported separately. For example, after receiving the first sensing result, the second sensing node instructs the first sensing node which sensing signal groups corresponding to the first sensing results need to be reported.

[0163] In some embodiments, the first sensing node may report only one of the first sensing information and the first sensing result. For example, the first sensing node may report only the first sensing information or only the first sensing result.

[0164] 2. Statistical characteristics

[0165] In some embodiments, statistical features include one or more of the following: mean, variance, standard deviation, kurtosis, skewness, rate of change, correlation coefficient, maximum value, minimum value, median, interquartile range, centroid frequency, mean square frequency, frequency variance, root mean square frequency, and frequency standard deviation.

[0166] In one example, the first channel information is directly obtained by the first sensing node based on a first quantity of sensing signals. The first sensing node then determines statistical characteristics based on this portion of the first channel information. These statistical characteristics may include the following:

[0167] 1) Mean Where x i This represents the i-th first channel information.

[0168] 2) Variance Where x i This represents the i-th first channel information. This represents the mean of N first channel information values.

[0169] 3) Standard deviation Where x i This represents the i-th first channel information. This represents the mean of N first channel information values.

[0170] 4) Kurtosis Where x i This represents the i-th first channel information. Let ρ represent the mean of N first channel information values, and let ρ represent the standard deviation.

[0171] 5) Skewness characteristics Where x i This represents the i-th first channel information. Let ρ represent the mean of N first channel information values, and let ρ represent the standard deviation.

[0172] 6) Rate of change Cr = sum(‖x) i+1 -x i ‖), where x i This represents the i-th first channel information.

[0173] 7) Correlation coefficient Co = corr(x) i+1 ,x i ), where x i Let represent the i-th first channel information. Furthermore, the sum of multiple correlation coefficients can be used as statistical characteristic values, or a correlation matrix can be constructed from them, and the eigenvalues ​​or the largest eigenvalue can be used as statistical characteristic values.

[0174] 8) Maximum value max(x)i ), minimum value min(x) i ), median(x) i ), interquartile moments Q3-Q1, where x i This represents the i-th first channel information.

[0175] In one example, if the first number of sensing signals are uniformly arranged in the time domain, the first sensing node, after receiving the sensing signals, can process them to obtain the first channel information in the frequency domain. For example, a Fourier transform is performed on the first number of sensing signals to obtain the first channel information in the frequency domain.

[0176] Based on the first channel information in the frequency domain described above, the first sensing node can extract the following statistical features:

[0177] 1) Center of gravity frequency Where f i s(i) represents the frequency of the i-th point, and s(i) represents the corresponding amplitude.

[0178] 2) Mean Square Frequency Where f i s(i) represents the frequency of the i-th point, and s(i) represents the corresponding amplitude.

[0179] 3) Frequency variance Where f i s(i) represents the frequency of the i-th point, and s(i) represents the corresponding amplitude.

[0180] 4) Root mean square frequency

[0181] 5) Frequency standard deviation

[0182] The above methods provide a way to calculate statistical features and a way to report statistical features, and give a feasible solution for the first sensing node to report statistical features.

[0183] IV. Regarding how to indicate the first quantity and / or sensing signal related parameters

[0184] 1. Configure separately for sensing services and / or sensing targets.

[0185] In some embodiments, the first quantity and / or sensing signal related parameters are configured individually for sensing services or sensing targets.

[0186] In one example, the first quantity and / or sensing signal related parameters can be configured individually for different sensing services or sensed targets. For example, the first quantity and / or sensing signal related parameters are related to the duration of the sensing service; the longer the duration, the larger the first quantity and the longer the first time window (or the larger the first sub-band length). For example, the first quantity and / or sensing signal related parameters are related to the distance between the sensed target and the sensing nodes (including sensing signal transmitting nodes and sensing signal receiving nodes); the greater the distance, the larger the first quantity and the longer the first time window (or the larger the first sub-band length).

[0187] 2. Dynamic adjustment

[0188] In some embodiments, the first quantity and / or sensing signal related parameters are dynamically adjusted based on at least one first sensing result.

[0189] In one example, the first quantity and / or sensing signal-related parameters can be dynamically adjusted based on the signal quality of the sensing signal reflected by at least one first sensing result. For example, if the signal quality of the sensing signal reflected by at least one first sensing result is good, then the first quantity can be reduced, and / or the first time window can be reduced (the length of the first sub-band can be reduced). For example, if the signal quality of the sensing signal reflected by at least one first sensing result is poor, then the first quantity can be increased, and / or the first time window can be increased (the length of the first sub-band can be reduced).

[0190] The technical solution provided in this application embodiment involves a first sensing node sending statistical features of a first number of sensing signals to a second sensing node, instead of instantaneous features of the same first number of sensing signals. Converting the reporting of instantaneous features of the original first number of sensing signals into the reporting of a few statistical features reduces resource overhead. Furthermore, for some typical sensing tasks, reporting statistical features is more robust and accurate in target detection or recognition compared to reporting instantaneous features. The number of sensing signals used by the second sensing node to obtain sensing results can be configured specifically, and dynamic adjustment can achieve the goals of saving power, reducing channel overhead, and minimizing resource waste.

[0191] It should be noted that the above embodiments are merely descriptions of the technical solutions of the embodiments of this application from different perspectives. The contents of the above embodiments can be combined with each other to obtain new embodiments, all of which are within the protection scope of this application.

[0192] Regarding the content mentioned in the above embodiments, this application also provides exemplary embodiments after combination.

[0193] In a sensing-integrated system, channel information that characterizes the propagation properties of wireless signals is extracted through the transmission and reception of sensing signals, thereby reflecting changes in the sensing target or environment. In sensing services, some sporadic events occur, such as intrusion detection, requiring continuous monitoring of channel changes. However, real-time channel reporting increases resource overhead, and relying solely on instantaneous channel changes to reflect the presence of intrusion is prone to false alarms. In such cases, reporting statistical features within a time window, considering a stable channel change as the only indicator of a genuine intrusion, is more efficient and accurate. Sensing services also include non-real-time sensing tasks, such as the recognition of numerous and complex gestures, movement patterns, and postures. Instantaneous features and single statistical features are insufficient for identification; multiple statistical features need to be reported to describe the characteristics of the segment from multiple dimensions for classification.

[0194] For some typical statistical features, the mean and variance are important features for detecting the presence of activity; kurtosis is a statistical information about the steepness of the data distribution. When Ku equals 3, the data is normally distributed; when it is greater than 3, the overall distribution is steeper than a normal distribution; when it is less than 3, it is flatter; skewness is a statistical value about the shape of the data distribution, which describes the symmetry of the data distribution. When the value of Sk is greater than 0, it indicates that the overall data distribution is right-skewed; when the value of Sk is less than 0, it indicates that the overall data is left-skewed; the rate of change can measure the degree of change of the entire data sequence; the correlation coefficient can effectively measure the correlation between variables. As for spectral features, the centroid frequency, mean square frequency, and root mean square frequency describe the location distribution of the main frequency band of the spectrum; the frequency variance and frequency standard deviation describe the degree of concentration and dispersion of frequency band energy.

[0195] In some embodiments, the first sensing node extracts N first channel information based on a first number of sensing signals. One implementation is that the first channel information is the sensing signal power or received signal strength, specifically calculated by statistically analyzing the average power or average received signal strength of all REs on the symbol containing each sensing signal; another implementation is that the first channel information is the representative value of the time-domain channel response of the sensing signal, i.e., the amplitude or phase corresponding to the time-domain channel response of any path or the path with the strongest power; another implementation is that the first channel information is the representative value of the frequency-domain channel response of the sensing signal, i.e., the amplitude or phase corresponding to any subcarrier on the symbol; another implementation involves first extracting the representative values ​​of the time-domain or frequency-domain channel response of the sensing signal according to the above method, performing a Fourier transform to obtain the spectrum, and the first channel information is the amplitude at a certain frequency point on the spectrum; another implementation is that the first channel information is the difference between the representative values ​​of the time-domain or frequency-domain channel response of each sensing signal received by different antennas of the first sensing node, for example, the phase difference; yet another implementation is that the first channel information is the difference between each of the above values ​​between every two sensing signals.

[0196] In some embodiments, the number of sensing signals used for statistical feature extraction includes three parameters. Knowing two of them, the third can be deduced, as shown in Figure 5. The acquisition method of each parameter can be agreed upon by the protocol or configured by the first information. That is, the first information can be configured with 0, 1, 2, or 3 parameters. The calculation method of the third parameter based on the two parameters includes: 1. The first quantity N0 and the first time domain unit Δt, that is, the first quantity of sensing signals are arranged at intervals of the first time domain unit, and the statistical time window is the product of the first quantity and the first time domain unit; 2. The first quantity N0 and the first time window T0, that is, the first quantity of sensing signals is counted within the first time window, and the time interval is the quotient of the first time domain resource and the first quantity; 3. The first time domain unit Δt and the first time period T0, the number of counts is the quotient of the first time domain window and the first time domain unit.

[0197] In some embodiments, the time window for periodically transmitting the sensing signal should be greater than or equal to the time window used for statistical feature extraction, i.e., P0 > T0. Within this transmission or reception time window, there are various ways to divide the time window for statistical feature extraction, such as uniform division in Figure 5 and sliding division with a step size L in Figure 6. Uniform division can cover the entire period with less resource overhead and computational complexity, while sliding division can obtain the actual occurrence time of the activity with finer granularity. Therefore, when reporting, it is necessary to report not only the specific content of the statistical features but also their occurrence time. Specific reporting methods include segment indexing or timestamps.

[0198] In some embodiments, the sensing control node pre-configures a time window for statistical feature extraction based on the possible duration of the sensing service. However, in the actual sensing reporting process, it can be adjusted from T0 to T1 according to the actual situation. For example, if an activity occurs once and spans multiple statistical windows, then each extraction only extracts a portion of the statistical features, which cannot describe the features of the entire activity. Therefore, it is necessary to expand the time window. Alternatively, if the channel changes caused by the sensing service are weak, an excessively long statistical time window will make the channel changes reflected by certain features more gradual. Therefore, it is necessary to narrow the sensing time window to avoid missed detections.

[0199] In the above method embodiments, the technical solution of this application has been described and explained only from the perspective of the interaction between the first sensing node and the second sensing node. The steps performed by the first sensing node described above can be implemented independently as an information transmission method on the first sensing node side, and the steps performed by the second sensing node described above can be implemented independently as an information transmission method on the second sensing node side. Furthermore, the embodiments provided herein can be arbitrarily combined to form new embodiments, all of which are within the protection scope of this application.

[0200] The following are embodiments of the apparatus described in this application, which can be used to execute the embodiments of the method described in this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.

[0201] Please refer to Figure 7, which shows a block diagram of an information transmission device provided in one embodiment of this application. This device has the function of implementing the information transmission method described above on the first sensing node side. This function can be implemented in hardware or by hardware executing corresponding software. The device can be the first sensing node described above, or it can be located within the first sensing node. As shown in Figure 7, the device 700 may include a sending module 710.

[0202] The transmitting module 710 is used to transmit at least one first sensing result to the second sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0203] In some embodiments, the first sensing result is determined based on first channel information, which is the channel information of the sensing signal.

[0204] In some embodiments, the first channel information includes one or more of the following: amplitude, phase, phase difference, power, and received signal strength.

[0205] In some embodiments, the first number of sensing signals are uniformly arranged in the time domain; and / or, the first number of sensing signals are uniformly arranged in the frequency domain.

[0206] In some embodiments, the first quantity is predefined; or, the first quantity is configured by the second sensing node; or, the first quantity is determined based on sensing signal related parameters, which are used to determine the time-domain or frequency-domain resources occupied by the sensing signal.

[0207] In some embodiments, the sensing signal related parameters include a first parameter and a second parameter, wherein the first parameter is a first time window, the second parameter is a first time domain unit, the first time window is the duration of transmission of the first number of sensing signals, and the first time domain unit is the time interval between transmissions of the first number of sensing signals; or, the first parameter is a first subband length, the second parameter is a first subband unit, the first subband length indicates the bandwidth occupied by the first number of sensing signals, and the first subband unit is the subcarrier spacing between subcarriers occupied by the first number of sensing signals.

[0208] In some embodiments, the first parameter and / or the second parameter are predefined; or, the first parameter and / or the second parameter are configured by the second sensing node.

[0209] In some embodiments, the first quantity is the quotient of the first parameter and the second parameter.

[0210] In some embodiments, the device 700 further includes a receiving module (not shown).

[0211] The receiving module is configured to receive first information sent by the second sensing node, wherein the first information is used to indicate the first quantity, or the first information is used to indicate related parameters of the sensing signal.

[0212] In some embodiments, the receiving module is further configured to receive a second number of sensing signals within a second time window.

[0213] In some embodiments, the second time window is configured by the second sensing node.

[0214] In some embodiments, the receiving module is further configured to receive second information sent by the second sensing node, the second information being used to configure sensing measurement resources, the sensing measurement resources including the second time window.

[0215] In some embodiments, when the second quantity is equal to the first quantity, the second quantity of sensing signals is used to determine one first sensing result; or, when the second quantity is greater than the first quantity, the second quantity of sensing signals is used to determine multiple first sensing results.

[0216] In some embodiments, when the second quantity is greater than the first quantity, the second quantity of sensing signals is divided into multiple sensing signal groups, each of the multiple sensing signal groups being used to determine a first sensing result.

[0217] In some embodiments, the plurality of sensing signal groups are uniformly divided using the first quantity as the unit; or, the plurality of sensing signal groups are slidably divided using the first quantity as the unit and the third quantity as the step size.

[0218] In some embodiments, the device 700 further includes a processing module (not shown).

[0219] The processing module is configured to determine the plurality of first perception results as the at least one first perception result; or, determine the first perception result among the plurality of first perception results that satisfies a first condition as the at least one first perception result; or, determine the first perception result among the plurality of first perception results corresponding to a third time window as the at least one first perception result.

[0220] In some embodiments, the first condition includes one or more of the following:

[0221] The first perception result is ranked in the first P positions, where P is a positive integer;

[0222] The first perception result is sorted in the last Q positions, where Q is a positive integer;

[0223] The first perception result satisfies a threshold condition, which means that the statistical features included in the first perception result exceed or fall below the threshold corresponding to the statistical features.

[0224] In some embodiments, the first sensing result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first sensing node based on a set of sensing signals;

[0225] The ranking of the first perception results is determined based on the M statistical features with the highest priority among the N statistical features; or,

[0226] The ranking of the first perception results is determined based on the M statistical features indicated among the N statistical features;

[0227] Where N is a positive integer, and F and M are positive integers less than or equal to N.

[0228] In some embodiments, the first sensing result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first sensing node based on a set of sensing signals;

[0229] The first perception result satisfies the threshold condition, including one or more of the following:

[0230] All N statistical features satisfy the threshold condition;

[0231] Among the N statistical features, M statistical features satisfy the threshold condition;

[0232] Among the N statistical features, the M statistical features with the highest priority satisfy the threshold condition;

[0233] Among the N statistical features, at least one of the M statistical features indicated satisfies the threshold condition.

[0234] Where N is a positive integer, and F and M are positive integers less than or equal to N.

[0235] In some embodiments, the sending module 710 is configured to send a first type of first perception result to the second perception node in a priority manner. The number of first type statistical features included in the first type of first perception result is greater than the number of first type statistical features included in other first perception results besides the first type of first perception result in the at least one first perception result. The first type of statistical feature refers to statistical features that satisfy the threshold condition.

[0236] In some embodiments, the sending module 710 is further configured to send first sensing information to the second sensing node, wherein the first sensing information is used to indicate the sensing signal group corresponding to the first sensing result.

[0237] In some embodiments, the statistical characteristics include one or more of the following: mean, variance, standard deviation, kurtosis, skewness, rate of change, correlation coefficient, maximum value, minimum value, median, interquartile range, centroid frequency, mean square frequency, frequency variance, root mean square frequency, and frequency standard deviation.

[0238] In some embodiments, the first sensing node is a sensing signal receiving node, and the second sensing node is a sensing signal transmitting node or a sensing control node.

[0239] The technical solution provided in this application embodiment involves a first sensing node sending statistical features of a first number of sensing signals to a second sensing node, instead of instantaneous features of the first number of sensing signals. Converting the reporting of instantaneous features of the original first number of sensing signals into the reporting of a few statistical features reduces resource overhead. Furthermore, for some typical sensing tasks, reporting statistical features is more robust and accurate in target detection or recognition compared to reporting instantaneous features.

[0240] Please refer to Figure 8, which shows a block diagram of an information transmission device provided in one embodiment of this application. This device has the function of implementing the information transmission method described above on the second sensing node side. This function can be implemented in hardware or by hardware executing corresponding software. The device can be the second sensing node described above, or it can be disposed within the second sensing node. As shown in Figure 8, the device 800 may include: a receiving module 810.

[0241] The receiving module 810 is used to receive at least one first sensing result sent by the first sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0242] In some embodiments, the first sensing result is determined based on first channel information, which is the channel information of the sensing signal.

[0243] In some embodiments, the first channel information includes one or more of the following: amplitude, phase, phase difference, power, and received signal strength.

[0244] In some embodiments, the first number of sensing signals are uniformly arranged in the time domain; and / or, the first number of sensing signals are uniformly arranged in the frequency domain.

[0245] In some embodiments, the first quantity is predefined; or, the first quantity is configured by the second sensing node; or, the first quantity is determined based on sensing signal related parameters, which are used to determine the time-domain or frequency-domain resources occupied by the sensing signal.

[0246] In some embodiments, the sensing signal related parameters include a first parameter and a second parameter, wherein the first parameter is a first time window, the second parameter is a first time domain unit, the first time window is the duration of transmission of the first number of sensing signals, and the first time domain unit is the time interval between transmissions of the first number of sensing signals; or, the first parameter is a first subband length, the second parameter is a first subband unit, the first subband length indicates the bandwidth occupied by the first number of sensing signals, and the first subband unit is the subcarrier spacing between subcarriers occupied by the first number of sensing signals.

[0247] In some embodiments, the first parameter and / or the second parameter are predefined; or, the first parameter and / or the second parameter are configured by the second sensing node.

[0248] In some embodiments, the first quantity is the quotient of the first parameter and the second parameter.

[0249] In some embodiments, the device 800 further includes a transmitting module (not shown).

[0250] The sending module is used to send first information to the first sensing node, the first information being used to indicate the first quantity, or the first information being used to indicate related parameters of the sensing signal.

[0251] In some embodiments, the first sensing node receives a second number of sensing signals within a second time window.

[0252] In some embodiments, the second time window is configured by the second sensing node.

[0253] In some embodiments, the sending module is further configured to send second information to the first sensing node, the second information being used to configure sensing measurement resources, the sensing measurement resources including the second time window.

[0254] In some embodiments, when the second quantity is equal to the first quantity, the second quantity of sensing signals is used to determine one first sensing result; or, when the second quantity is greater than the first quantity, the second quantity of sensing signals is used to determine multiple first sensing results.

[0255] In some embodiments, when the second quantity is greater than the first quantity, the second quantity of sensing signals is divided into multiple sensing signal groups, each of the multiple sensing signal groups being used to determine a first sensing result.

[0256] In some embodiments, the plurality of sensing signal groups are uniformly divided using the first quantity as the unit; or, the plurality of sensing signal groups are slidably divided using the first quantity as the unit and the third quantity as the step size.

[0257] In some embodiments, the plurality of first perception results are determined as the at least one first perception result; or, the first perception result among the plurality of first perception results that satisfies a first condition is determined as the at least one first perception result; or, the first perception result among the plurality of first perception results that corresponds to a third time window is determined as the at least one first perception result.

[0258] In some embodiments, the first condition includes one or more of the following:

[0259] The first perception result is ranked in the first P positions, where P is a positive integer;

[0260] The first perception result is sorted in the last Q positions, where Q is a positive integer;

[0261] The first perception result satisfies a threshold condition, which means that the statistical features included in the first perception result exceed or fall below the threshold corresponding to the statistical features.

[0262] In some embodiments, the first sensing result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first sensing node based on a set of sensing signals;

[0263] The ranking of the first perception results is determined based on the M statistical features with the highest priority among the N statistical features; or,

[0264] The ranking of the first perception results is determined based on the M statistical features indicated among the N statistical features;

[0265] Where N is a positive integer, and F and M are positive integers less than or equal to N.

[0266] In some embodiments, the first sensing result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first sensing node based on a set of sensing signals;

[0267] The first perception result satisfies the threshold condition, including one or more of the following:

[0268] All N statistical features satisfy the threshold condition;

[0269] Among the N statistical features, M statistical features satisfy the threshold condition;

[0270] Among the N statistical features, the M statistical features with the highest priority satisfy the threshold condition;

[0271] Among the N statistical features, at least one of the M statistical features indicated satisfies the threshold condition.

[0272] Where N is a positive integer, and F and M are positive integers less than or equal to N.

[0273] In some embodiments, the receiving module 810 is configured to receive a first type of first perception result preferentially sent by the first perception node, wherein the number of first type statistical features included in the first type of first perception result is greater than the number of first type statistical features included in other first perception results besides the first type of first perception result in the at least one first perception result, and the first type of statistical features refers to statistical features that satisfy the threshold condition.

[0274] In some embodiments, the receiving module 810 is further configured to receive first sensing information sent by the first sensing node, wherein the first sensing information is used to indicate the sensing signal group corresponding to the first sensing result.

[0275] In some embodiments, the first quantity and / or the sensing signal related parameters are configured individually for sensing services or sensing targets.

[0276] In some embodiments, the first quantity and / or the sensing signal related parameters are dynamically adjusted based on the at least one first sensing result.

[0277] In some embodiments, the statistical characteristics include one or more of the following: mean, variance, standard deviation, kurtosis, skewness, rate of change, correlation coefficient, maximum value, minimum value, median, interquartile range, centroid frequency, mean square frequency, frequency variance, root mean square frequency, and frequency standard deviation.

[0278] In some embodiments, the first sensing node is a sensing signal receiving node, and the second sensing node is a sensing signal transmitting node or a sensing control node.

[0279] The technical solution provided in this application embodiment involves a first sensing node sending statistical features of a first number of sensing signals to a second sensing node, instead of instantaneous features of the first number of sensing signals. Converting the reporting of instantaneous features of the original first number of sensing signals into the reporting of a few statistical features reduces resource overhead. Furthermore, for some typical sensing tasks, reporting statistical features is more robust and accurate in target detection or recognition compared to reporting instantaneous features.

[0280] It should be noted that the above embodiments only illustrate the division of the above functional modules when implementing the device. In actual applications, the above functions can be assigned to different functional modules according to actual needs, that is, the content structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0281] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here. For details not described in detail in the apparatus embodiments, please refer to the above method embodiments.

[0282] Please refer to Figure 9, which shows a schematic diagram of the structure of a communication device provided in one embodiment of this application. The communication device can be either the first sensing node or the second sensing node described above. The communication device 900 may include at least one of a processor 901, a transceiver 902, and a memory 903. The processor 901 is used to implement various processing functions of the communication device 900, such as generating information to be sent, processing received information, and controlling transmission and / or reception. The transceiver 902 is used to implement transmission and / or reception functions, such as implementing the functions of the transmission module 710 described above, or implementing the functions of the reception module 810 described above.

[0283] The processor 901 includes one or more processing cores. The processor 901 executes various functional applications and information processing by running software programs and modules.

[0284] The transceiver 902 may include a receiver and a transmitter. For example, the receiver and transmitter may be implemented as the same wireless communication component, which may include a wireless communication chip and a radio frequency antenna.

[0285] The memory 903 can be connected to the processor 901 and the transceiver 902.

[0286] The memory 903 can be used to store a computer program executed by the processor, and the processor 901 is used to execute the computer program to implement the various steps in the above method embodiments.

[0287] In some embodiments, the communication device 900 is the first sensing node described in the above embodiments, and the transceiver 902 is used to send at least one first sensing result to the second sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0288] In some embodiments, the communication device 900 is the second sensing node in the above embodiment, and the transceiver 902 is used to receive at least one first sensing result sent by the first sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

[0289] For details not described in this embodiment, please refer to the embodiments above, which will not be repeated here.

[0290] Furthermore, the memory can be implemented by any type of volatile or non-volatile storage device or a combination thereof, including but not limited to: magnetic disks or optical disks, electrically erasable programmable read-only memory, erasable programmable read-only memory, statically accessible memory, read-only memory, magnetic memory, flash memory, and programmable read-only memory.

[0291] This application also provides a computer-readable storage medium storing a computer program for execution by a processor to implement the information transmission method at the first sensing node or the information transmission method at the second sensing node. In some embodiments, the computer-readable storage medium may include ROM (Read-Only Memory), RAM (Random-Access Memory), SSD (Solid State Drives), or optical disc, etc. The random access memory may include ReRAM (Resistance Random Access Memory) and DRAM (Dynamic Random Access Memory).

[0292] This application also provides a chip, which includes programmable logic circuits and / or program instructions. When the chip is running, it is used to implement the information transmission method on the first sensing node side or the information transmission method on the second sensing node side.

[0293] This application also provides a computer program product, which includes computer instructions stored in a computer-readable storage medium. A processor reads and executes the computer instructions from the computer-readable storage medium to implement the information transmission method on the first sensing node side or the information transmission method on the second sensing node side described above.

[0294] It should be understood that the term "instruction" mentioned in the embodiments of this application can be a direct instruction, an indirect instruction, or an indication of a relationship. For example, A instructing B can mean that A directly instructs B, such as B being able to obtain information through A; it can also mean that A indirectly instructs B, such as A instructing C, so B can obtain information through C; or it can mean that there is a relationship between A and B.

[0295] In the description of the embodiments of this application, the term "correspondence" may indicate that there is a direct or indirect correspondence between two things, or that there is an association between two things, or that there is a relationship of instruction and being instructed, configuration and being configured, etc.

[0296] In some embodiments of this application, "predefined" can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including a first sensing node and a second sensing node). This application does not limit the specific implementation method. For example, predefined can refer to what is defined in the protocol.

[0297] In some embodiments of this application, the term "protocol" may refer to standard protocols in the field of communications, such as BLE protocol, Wi-Fi protocol, and related protocols applied in future communication systems. This application does not limit the scope of these protocols.

[0298] In this article, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0299] In this article, "greater than or equal to" can mean greater than or equal to, and "less than or equal to" can mean less than or equal to.

[0300] Furthermore, the step numbers described herein are merely illustrative of one possible execution order between steps. In some other embodiments, the steps may not be executed in the order of their numbers, such as two steps with different numbers being executed simultaneously, or two steps with different numbers being executed in the reverse order of the illustration. This application does not limit this.

[0301] Those skilled in the art will recognize that the functions described in the embodiments of this application in one or more of the above examples can be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media include computer storage media and communication media, wherein communication media include any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0302] The above description is merely an exemplary embodiment of this application and is not intended to limit this application. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. An information transmission method, characterized in that, The method is executed by the first sensing node, and the method includes: Send at least one first perception result to the second sensing node, the at least one first perception result being a statistical feature determined based on a first number of sensing signals.

2. The method according to claim 1, characterized in that, The first sensing result is determined based on the first channel information, which is the channel information of the sensing signal.

3. The method according to claim 2, characterized in that, The first channel information includes one or more of the following: amplitude, phase, phase difference, power, and received signal strength.

4. The method according to any one of claims 1 to 3, characterized in that, The first number of sensed signals are uniformly arranged in the time domain; and / or, The first number of sensing signals are uniformly arranged in the frequency domain.

5. The method according to any one of claims 1 to 4, characterized in that, The first quantity is predefined; or, The first quantity is configured by the second sensing node; or, The first quantity is determined based on sensing signal related parameters, which are used to determine the time-domain or frequency-domain resources occupied by the sensing signal.

6. The method according to claim 5, characterized in that, The sensing signal related parameters include a first parameter and a second parameter. The first parameter is a first time window, the second parameter is a first time domain unit, the first time window is the duration of the transmission of the first number of sensing signals, and the first time domain unit is the time interval of the transmission of the first number of sensing signals. or, The first parameter is the first subband length, the second parameter is the first subband unit, the first subband length indicates the bandwidth occupied by the first number of sensed signals, and the first subband unit is the subcarrier spacing between the subcarriers occupied by the first number of sensed signals.

7. The method according to claim 5 or 6, characterized in that, The first parameter and / or the second parameter are predefined; or, The first parameter and / or the second parameter are configured by the second sensing node.

8. The method according to claim 6 or 7, characterized in that, The first quantity is the quotient of the first parameter and the second parameter.

9. The method according to any one of claims 5 to 8, characterized in that, The method further includes: The system receives first information sent by the second sensing node, wherein the first information is used to indicate the first quantity, or the first information is used to indicate parameters related to the sensing signal.

10. The method according to any one of claims 1 to 9, characterized in that, The method further includes: A second number of sensing signals are received within the second time window.

11. The method according to claim 10, characterized in that, The second time window is configured by the second sensing node.

12. The method according to claim 11, characterized in that, The method further includes: The system receives second information sent by the second sensing node, the second information being used to configure sensing measurement resources, the sensing measurement resources including the second time window.

13. The method according to any one of claims 10 to 12, characterized in that, When the second quantity equals the first quantity, the second quantity of perceived signals is used to determine a first perceived result; or, When the second quantity is greater than the first quantity, the second quantity of sensing signals is used to determine multiple of the first sensing results.

14. The method according to claim 13, characterized in that, When the second quantity is greater than the first quantity, the second quantity of sensing signals is divided into multiple sensing signal groups, and each of the multiple sensing signal groups is used to determine a first sensing result.

15. The method according to claim 14, characterized in that, The plurality of sensing signal groups are evenly divided into units based on the first quantity; or, The plurality of sensing signal groups are divided by sliding with the first quantity as the unit and the third quantity as the step size.

16. The method according to any one of claims 13 to 15, characterized in that, The method further includes: The plurality of first perception results are determined as the at least one first perception result; or... The first perception result that satisfies the first condition among the plurality of first perception results is determined as at least one first perception result; or those, The first perception result corresponding to the third time window among the plurality of first perception results is determined as at least one first perception result.

17. The method according to claim 16, characterized in that, The first condition includes one or more of the following: The first perception result is ranked in the first P positions, where P is a positive integer; The first perception result is sorted in the last Q positions, where Q is a positive integer; The first perception result satisfies a threshold condition, which means that the statistical features included in the first perception result exceed or fall below the threshold corresponding to the statistical features.

18. The method according to claim 17, characterized in that, The first perception result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first perception node based on a set of perception signals; The ranking of the first perception results is determined based on the M statistical features with the highest priority among the N statistical features; or, The ranking of the first perception results is determined based on the M statistical features indicated among the N statistical features; Where N is a positive integer, and F and M are positive integers less than or equal to N.

19. The method according to claim 17, characterized in that, The first perception result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first perception node based on a set of perception signals; The first perception result satisfies the threshold condition, including one or more of the following: All N statistical features satisfy the threshold condition; Among the N statistical features, M statistical features satisfy the threshold condition; Among the N statistical features, the M statistical features with the highest priority satisfy the threshold condition; Among the N statistical features, at least one of the M statistical features indicated satisfies the threshold condition. Where N is a positive integer, and F and M are positive integers less than or equal to N.

20. The method according to claim 17 or 19, characterized in that, Sending at least one first sensing result to the second sensing node includes: The first type of first perception result is sent to the second perception node firstly. The number of first type statistical features included in the first type of first perception result is greater than the number of first type statistical features included in other first perception results besides the first type of first perception result. The first type of statistical feature refers to statistical features that satisfy the threshold condition.

21. The method according to any one of claims 16 to 20, characterized in that, The method further includes: Send first sensing information to the second sensing node. The first sensing information is used to indicate the sensing signal group corresponding to the first sensing result.

22. The method according to any one of claims 1 to 21, characterized in that, The statistical characteristics include one or more of the following: mean, variance, standard deviation, kurtosis, skewness, rate of change, correlation coefficient, maximum value, minimum value, median, interquartile range, centroid frequency, mean square frequency, frequency variance, root mean square frequency, and frequency standard deviation.

23. The method according to any one of claims 1 to 22, characterized in that, The first sensing node is a sensing signal receiving node, and the second sensing node is a sensing signal sending node or a sensing control node.

24. An information transmission method, characterized in that, The method is executed by the second sensing node, and the method includes: Receive at least one first perception result sent by a first perception node, wherein the at least one first perception result is a statistical feature determined based on a first number of perception signals.

25. The method according to claim 24, characterized in that, The first sensing result is determined based on the first channel information, which is the channel information of the sensing signal.

26. The method according to claim 25, characterized in that, The first channel information includes one or more of the following: amplitude, phase, phase difference, power, and received signal strength.

27. The method according to any one of claims 24 to 26, characterized in that, The first number of sensed signals are uniformly arranged in the time domain; and / or, The first number of sensing signals are uniformly arranged in the frequency domain.

28. The method according to any one of claims 24 to 27, characterized in that, The first quantity is predefined; or, The first quantity is configured by the second sensing node; or, The first quantity is determined based on sensing signal related parameters, which are used to determine the time-domain or frequency-domain resources occupied by the sensing signal.

29. The method according to claim 28, characterized in that, The sensing signal related parameters include a first parameter and a second parameter. The first parameter is a first time window, the second parameter is a first time domain unit, and the first time window is the first quantity. The duration of the transmission of the sensing signal, wherein the first time domain unit is the time interval for the transmission of the first number of sensing signals; or, The first parameter is the first subband length, the second parameter is the first subband unit, the first subband length indicates the bandwidth occupied by the first number of sensed signals, and the first subband unit is the subcarrier spacing between the subcarriers occupied by the first number of sensed signals.

30. The method according to claim 28 or 29, characterized in that, The first parameter and / or the second parameter are predefined; or, The first parameter and / or the second parameter are configured by the second sensing node.

31. The method according to claim 29 or 30, characterized in that, The first quantity is the quotient of the first parameter and the second parameter.

32. The method according to any one of claims 28 to 31, characterized in that, The method further includes: Send first information to the first sensing node, the first information being used to indicate the first quantity, or the first information being used to indicate parameters related to the sensing signal.

33. The method according to any one of claims 24 to 32, characterized in that, The first sensing node receives a second number of sensing signals within the second time window.

34. The method according to claim 33, characterized in that, The second time window is configured by the second sensing node.

35. The method according to claim 34, characterized in that, The method further includes: Send second information to the first sensing node. The second information is used to configure sensing measurement resources, which include the second time window.

36. The method according to any one of claims 33 to 35, characterized in that, When the second quantity equals the first quantity, the second quantity of perceived signals is used to determine a first perceived result; or, When the second quantity is greater than the first quantity, the second quantity of sensing signals is used to determine multiple of the first sensing results.

37. The method according to claim 36, characterized in that, When the second quantity is greater than the first quantity, the second quantity of sensing signals is divided into multiple sensing signal groups, and each of the multiple sensing signal groups is used to determine a first sensing result.

38. The method according to claim 37, characterized in that, The plurality of sensing signal groups are evenly divided into units based on the first quantity; or, The plurality of sensing signal groups are divided by sliding with the first quantity as the unit and the third quantity as the step size.

39. The method according to any one of claims 36 to 38, characterized in that, The plurality of first perception results are determined to be the at least one first perception result; or... The first perception result that satisfies the first condition among the plurality of first perception results is determined as the at least one first perception result; or... The first perception result corresponding to the third time window among the plurality of first perception results is determined as at least one first perception result.

40. The method according to claim 39, characterized in that, The first condition includes one or more of the following: The first perception result is ranked in the first P positions, where P is a positive integer; The first perception result is sorted in the last Q positions, where Q is a positive integer; The first perception result satisfies a threshold condition, which means that the statistical features included in the first perception result exceed or fall below the threshold corresponding to the statistical features.

41. The method according to claim 40, characterized in that, The first perception result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first perception node based on a set of perception signals; The ranking of the first perception results is determined based on the M statistical features with the highest priority among the N statistical features; or, The ranking of the first perception results is determined based on the M statistical features indicated among the N statistical features; Where N is a positive integer, and F and M are positive integers less than or equal to N.

42. The method according to claim 40, characterized in that, The first perception result includes F statistical features out of N statistical features, wherein the N statistical features are determined by the first perception node based on a set of perception signals; The first perception result satisfies the threshold condition, including one or more of the following: All N statistical features satisfy the threshold condition; Among the N statistical features, M statistical features satisfy the threshold condition; Among the N statistical features, the M statistical features with the highest priority satisfy the threshold condition; Among the N statistical features, at least one of the M statistical features indicated satisfies the threshold condition. Where N is a positive integer, and F and M are positive integers less than or equal to N.

43. The method according to claim 40 or 42, characterized in that, Receiving at least one first sensing result sent by the first sensing node includes: The system receives a first type of first perception result sent preferentially by the first perception node. The number of first type statistical features included in the first type of first perception result is greater than the number of first type statistical features included in other first perception results besides the first type of first perception result. The first type of statistical features refers to statistical features that satisfy the threshold condition.

44. The method according to any one of claims 39 to 43, characterized in that, The method further includes: The system receives first sensing information sent by the first sensing node, which is used to indicate the sensing signal group corresponding to the first sensing result.

45. The method according to any one of claims 28 to 44, characterized in that, The first quantity and / or the sensing signal related parameters are configured individually for the sensing service or sensing target.

46. ​​The method according to any one of claims 28 to 45, characterized in that, The first quantity and / or the sensing signal related parameters are dynamically adjusted based on the at least one first sensing result.

47. The method according to any one of claims 24 to 46, characterized in that, The statistical characteristics include one or more of the following: mean, variance, standard deviation, kurtosis, skewness, rate of change, correlation coefficient, maximum value, minimum value, median, interquartile range, centroid frequency, mean square frequency, frequency variance, root mean square frequency, and frequency standard deviation.

48. The method according to any one of claims 24 to 47, characterized in that, The first sensing node is a sensing signal receiving node, and the second sensing node is a sensing signal sending node or a sensing control node.

49. An information transmission device, characterized in that, The device includes: The transmitting module is used to transmit at least one first sensing result to the second sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

50. An information transmission device, characterized in that, The device includes: A receiving module is configured to receive at least one first sensing result sent by a first sensing node, wherein the at least one first sensing result is a statistical feature determined based on a first number of sensing signals.

51. A communication device, characterized in that, The communication device includes a processor and a memory, the memory storing a computer program, the processor executing the computer program to implement the method as claimed in any one of claims 1 to 23, or to implement the method as claimed in any one of claims 24 to 48.

52. A computer-readable storage medium, characterized in that, The storage medium stores a computer program that is executed by a processor to implement the method as described in any one of claims 1 to 23, or the method as described in any one of claims 24 to 48.

53. A chip, characterized in that, The chip includes programmable logic circuitry and / or program instructions, which, when the chip is running, are used to implement the method as described in any one of claims 1 to 23, or to implement the method as described in any one of claims 24 to 48.

54. A computer program product, characterized in that, The computer program product includes computer instructions stored in a computer-readable storage medium, which a processor reads from and executes to implement the method as claimed in any one of claims 1 to 23, or the method as claimed in any one of claims 24 to 48.

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