Measurement method and apparatus, measurement configuration method and apparatus, and device

Abstract

The present application relates to the technical field of communications, and discloses a measurement method and apparatus, a measurement configuration method and apparatus, and a device. The measurement method in embodiments of the present application comprises: a first device receives first information sent by a second device, the first information including at least one of the following: measurement rule information and measurement threshold information; and the first device performs measurement on the basis of the first information.

Description

Measurement method, measurement configuration method, device and equipment

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese Patent Application No. 202410244168.0 filed in China on March 4, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present application belongs to the field of communication technology, and specifically relates to a measurement method, a measurement configuration method, an apparatus, and equipment. Background Art

[0004] Regarding measurement, in some related technologies, device measurement often uses default measurement rule information or measurement threshold information for measurement. The default measurement rule information or measurement threshold information is often not applicable to the current measurement required, which leads to poor measurement performance. Summary of the Invention

[0005] The embodiments of the present application provide a measurement method, a measurement configuration method, an apparatus, and a device, which can solve the problem of poor measurement performance.

[0006] In a first aspect, a measurement method is provided, comprising:

[0007] The first device receives first information sent by the second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information;

[0008] The first device performs measurement based on the first information.

[0009] In a second aspect, a measurement configuration method is provided, including:

[0010] The second device sends first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0011] In a third aspect, a measuring device is provided, comprising:

[0012] A receiving module, configured to receive first information sent by a second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information;

[0013] A measurement module is configured to perform measurement based on the first information.

[0014] In a fourth aspect, a measurement configuration device is provided, comprising:

[0015] The first sending module is configured to send first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0016] In a fifth aspect, a communication device is provided, which includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the measurement method provided in the embodiment of the present application are implemented.

[0017] In a sixth aspect, a communication device is provided, comprising a processor and a communication interface, wherein the communication interface is used to receive first information sent by a second device, the first information comprising at least one of the following: measurement rule information, measurement threshold information; and perform measurement based on the first information.

[0018] In a seventh aspect, a communication device is provided, which includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the measurement configuration method provided in the embodiment of the present application are implemented.

[0019] In an eighth aspect, a communication device is provided, comprising a processor and a communication interface, wherein the communication interface is used to send first information to a first device, wherein the first information comprises at least one of the following: measurement rule information and measurement threshold information.

[0020] In the ninth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the measurement method provided in the embodiment of the present application are implemented, or the steps of the measurement configuration method provided in the embodiment of the present application are implemented.

[0021] In the tenth aspect, a wireless communication system is provided, including: a first device and a second device, wherein the first device can be used to execute the steps of the measurement method provided in the embodiment of the present application, and the second device can be used to execute the steps of the measurement configuration method provided in the embodiment of the present application.

[0022] In the eleventh aspect, a chip is provided, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run a program or instruction to implement the measurement method provided in the embodiment of the present application, or to implement the measurement configuration method provided in the embodiment of the present application.

[0023] In the twelfth aspect, a computer program / program product is provided, which is stored in a storage medium, and is executed by at least one processor to implement the steps of the measurement method provided in the embodiment of the present application, and the computer program / program product is executed by at least one processor to implement the steps of the measurement configuration method provided in the embodiment of the present application.

[0024] In an embodiment of the present application, a first device receives first information sent by a second device, the first information including at least one of the following: measurement rule information and measurement threshold information. The first device performs measurement based on the first information. This allows for dynamic acquisition of measurement rule information or measurement threshold information, which makes it easier for the dynamically acquired measurement rule information or measurement threshold information to match the current measurement. Performing measurements based on the dynamically acquired measurement rule information or measurement threshold information can improve measurement performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] FIG1 is a block diagram of a wireless communication system to which embodiments of the present application may be applied;

[0026] FIG2 is a schematic diagram of a perception measurement scenario provided by an embodiment of the present application;

[0027] FIG3 is a schematic diagram of another scenario of perception measurement provided by an embodiment of the present application;

[0028] FIG4 is a flow chart of a measurement method provided in an embodiment of the present application;

[0029] FIG5 is a schematic diagram of a diameter provided in an embodiment of the present application;

[0030] FIG6 is a schematic diagram of another diameter provided in an embodiment of the present application;

[0031] FIG7 is a flow chart of a measurement configuration method provided in an embodiment of the present application;

[0032] FIG8 is a schematic diagram of a measurement and reporting process provided in an embodiment of the present application;

[0033] FIG9 is a schematic diagram of a measurement scenario provided in an embodiment of the present application;

[0034] FIG10 is a schematic diagram of another measurement scenario provided in an embodiment of the present application;

[0035] FIG11 is a schematic diagram of a measurement result provided in an embodiment of the present application;

[0036] FIG12 is a schematic diagram of another measurement result provided in an embodiment of the present application;

[0037] FIG13 is a schematic diagram of another measurement result provided in an embodiment of the present application;

[0038] FIG14 is a structural diagram of a measuring device provided in an embodiment of the present application;

[0039] FIG15 is a structural diagram of a measurement configuration device provided in an embodiment of the present application;

[0040] FIG16 is a structural diagram of a communication device provided in an embodiment of the present application;

[0041] FIG17 is a structural diagram of another communication device provided in an embodiment of the present application;

[0042] FIG18 is a structural diagram of another communication device provided in an embodiment of the present application;

[0043] Figure 19 is a structural diagram of another communication device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the accompanying drawings in the embodiments of this application to clearly describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0045] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects, for example, the first object can be one or more. In addition, "or" in this application represents at least one of the connected objects. For example, "A or B" covers three options, namely, Option 1: including A but not including B; Option 2: including B but not including A; Option 3: including both A and B. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0046] The term "indication" in this application can be either a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, the operation to be performed, or the requested result, etc. in the instruction sent; an indirect indication can be understood as the receiver determining the corresponding information based on the instruction sent by the sender, or making a judgment and determining the operation to be performed or the requested result, etc. based on the judgment result.

[0047] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the technology described can be used for the systems and radio technologies mentioned above, as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and NR terminology is used in most of the following description, but these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) systems. th Generation, 6G) communication system.

[0048] FIG1 is a block diagram of a wireless communication system applicable to an embodiment of the present application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile internet device (MID), an augmented reality (AR), a virtual reality (VR) device, a robot, a wearable device (Wearable Device), an aircraft (Flight Vehicle), a vehicle-mounted device (VUE), a ship-mounted device, a pedestrian user equipment (PUE), a smart home (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), a game console, a personal computer (PC), an ATM, or a self-service machine, or other terminal-side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, vehicle-mounted controller, vehicle-mounted module, vehicle-mounted component, vehicle-mounted chip or vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application.

[0049] The network-side device 12 may include an access network device or a core network device, wherein the access network device may also be referred to as a radio access network (RAN) device, a radio access network function, or a radio access network unit. The access network device may include a base station, a wireless local area network (WLAN) access point (AP), or a wireless fidelity (WiFi) node. Among them, the base station can be referred to as Node B (NB), Evolved Node B (eNB), the next generation Node B (gNB), New Radio Node B (NR Node B), access point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home evolved Node B (home evolved Node B), Transmission Reception Point (TRP) or other appropriate terms in the relevant field. As long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0050] The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (MME), access mobility management function (AMF), session management function (SMF), user plane function (UPF), policy control function (PCF), policy and charging rules function unit (PCRF), edge application service discovery function (EASDF), unified data management (UDM), unified data repository (UDR), home user server (HSS), centralized network configuration (CNC), network storage function (NRF), network exposure function (NEF), local NEF (L-NEF), binding support function (BSF), application function ( Function, AF), Location Management Function (LMF), Gateway Mobile Location Centre (GMLC), Network Data Analytics Function (NWDAF), etc. It should be noted that in the embodiment of the present application, only the core network equipment in the NR system is taken as an example to introduce, and the specific type of the core network equipment is not limited.

[0051] In some embodiments, network-side devices and terminals may have perception capabilities in addition to communication capabilities. Perception capabilities refer to one or more devices with the ability to sense the position, distance, speed, and other information of a target object through the transmission and reception of wireless signals, or to detect, track, identify, and image a target object, event, or environment. Some perception functions and application scenarios are shown in Table 1:

[0052] Table 1

[0053] It should be noted that the perception categories shown in Table 1 above are only examples, and the embodiments of the present application do not limit the categories of perception measurements.

[0054] In addition, the embodiments of the present application can be applied to the communication and perception integration scenario, where communication and perception integration refers to the integrated design of communication and perception functions through spectrum sharing and hardware sharing in the same system. While transmitting information, the system can perceive information such as direction, distance, speed, and detect, track, and identify target devices or events. The communication system and the perception system complement each other to achieve overall performance improvement and bring a better service experience.

[0055] For example: the integration of communication and radar is a typical communication-perception integration (communication-perception fusion) application, and the integration of communication and radar systems can bring many advantages, such as cost savings, size reduction, power consumption reduction, spectrum efficiency improvement, and mutual interference reduction, thereby improving the overall performance of the system.

[0056] In the embodiment of the present application, depending on the difference between the sending node and the receiving node of the perception signal, the six types of perception links shown in Figure 2 may be included but not limited to. It should be noted that each perception link in Figure 2 is illustrated by taking a sending node and a receiving node as an example. In the actual system, different perception links can be selected according to different perception needs. Each perception link may have one or more sending nodes and one receiving node, and the actual perception system may include a variety of different perception links. In addition, the perception targets in Figure 2 take people and cars as examples, and assuming that people and cars do not carry or install signal receiving / transmitting equipment, the perception targets of the actual scene will be richer.

[0057] Sensing link 1: The base station transmits and receives sensing signals autonomously. In this mode, the base station sends sensing signals and obtains sensing results by receiving the echo of the sensing signals.

[0058] Sensing link 2: inter-base station air interface sensing. In this mode, base station 2 receives the sensing signal sent by base station 1 and obtains the sensing result.

[0059] Perception link 3: Uplink air interface perception: In this mode, the base station receives the perception signal sent by the terminal and obtains the perception result.

[0060] Perception link 4: Downlink air interface perception: In this mode, the terminal receives the perception signal sent by the base station and obtains the perception result.

[0061] Perception link 5: Terminal self-transmitting and self-receiving perception. In this mode, the terminal sends a perception signal and obtains the perception result by receiving the echo of the perception signal.

[0062] Perception link 6: Sidelink perception between terminals. For example, terminal 2 receives a perception signal sent by terminal 1 and obtains a perception result, or terminal 1 receives a perception signal sent by terminal 2 and obtains a perception result.

[0063] In some embodiments, the signaling transmission between the wireless access network device and the terminal, or between different terminals, may be through Radio Resource Control (RRC) signaling or Medium Access Control Control Element (MAC CE) or Layer 1 signaling or other newly defined perception signaling; the signaling transmission between the perception network function and the terminal may be through Non-Access-Stratum (NAS) signaling (forwarded via AMF) or through RRC signaling or MAC CE or Layer 1 signaling or other newly defined perception signaling; the interaction between the perception network function and the base station may be forwarded to the wireless access network through the N2 interface by the AMF; or the core network perception network function may send it to the UPF, and the UPF may send it to the wireless access network through the N3 interface; or it may be sent to the wireless access network (such as a base station) through a newly defined interface; the signaling transmission between wireless access network devices may be through the Xn interface.

[0064] In some embodiments, the perception network function may also be called a perception network element or a perception management function (Sensing Management Function, Sensing MF), which may be located on the RAN side or the core network side. It refers to a network node in the core network or RAN responsible for at least one function such as perception request processing, perception resource scheduling, perception information interaction, and perception data processing. It may be based on an upgrade of the AMF or LMF in the mobile communication network, or it may be another network node or a newly defined network node. Specifically, the functional characteristics of the perception network function / perception network element may include at least one of the following:

[0065] Target information is exchanged with a wireless signal sending device or a wireless signal measuring device (including a target terminal or a serving base station of the target terminal or a base station associated with a target area), wherein the target information includes a perception processing request, a perception capability, perception assistance data, a perception measurement quantity type, a perception resource configuration information, etc., to obtain the value of the target perception result or the perception measurement quantity (uplink measurement quantity or downlink measurement quantity) sent by the wireless signal measuring device; wherein the wireless signal can also be referred to as a perception signal.

[0066] The perception method to be used is determined based on factors such as the type of perception service, perception service consumer information, required perception service quality (QoS) requirement information, the perception capability of the wireless signal sending device, and the perception capability of the wireless signal measuring device. The perception method may include: wireless access network device A sends and wireless access network device B receives, or the wireless access network device sends and the terminal receives, or the wireless access network device A sends and receives by itself, or the terminal sends and the wireless access network device receives, or the terminal sends and receives by itself, or terminal A sends and terminal B receives, etc.

[0067] The perception device serving the perception service is determined based on factors such as the type of perception service, information about the perception service consumer, required perception QoS requirement information, the perception capability of the wireless signal sending device, and the perception capability of the wireless signal measuring device. The perception device includes a wireless signal sending device or a wireless signal measuring device.

[0068] Manage the overall coordination and scheduling of resources required for sensing services, such as configuring sensing resources for wireless access network devices or terminals;

[0069] Data processing or calculation is performed on the values ​​of the perceived measurement quantity to obtain the perceived result. The perceived result can also be verified and the perception accuracy can be estimated.

[0070] In some embodiments, radars can be categorized as monostatic and bistatic / multistatic, depending on whether the transmitter and receiver are separated. Bistatic radars generally require a significant distance between the transmitting and receiving antennas, comparable to the radar's operating range. Exo-radiation radars are a special case of bistatic radars. They utilize relevant electromagnetic wave detection theory and signal processing techniques to acquire non-cooperative electromagnetic signals transmitted by a third party (e.g., a communication base station) to detect, locate, track, and identify targets. These radars are also known as passive radars, bistatic / multistatic passive radars, passive radars, non-cooperative illuminating source radars, or non-cooperative passive detection systems.

[0071] The calculation of the bistatic radar perception result is generally based on the reference channel (direct path) signal and the monitoring channel (reflection path) signal. The typical bistatic radar architecture diagram is shown in Figure 3. T is the distance from the signal transmitter (Tx) to the target, RR is the distance from the signal receiving end (Tx) to the target, L is the baseline distance, θ T is the angle of the target relative to the signal transmitter, θ R (θ R1 ,θ R2 ) is the angle of the target relative to the signal receiving end, and β is the bistatic angle.

[0072] In some embodiments, for common distance, Doppler, or speed measurements in perception measurements, measurement ambiguity may occur when the signal resource configuration does not meet the requirements. For example, for single-base radar perception, the relationship between the maximum unambiguous distance, Doppler, or speed and the signal resource configuration is:

[0073] If the speed direction is considered, the time domain resource interval satisfies ΔT≤1 / (2|f dmax |) or ΔT≤c / (4f c |v max |); If the time domain resource interval in the direction of speed is not considered and satisfies ΔT≤1 / f dmax Or ΔT≤c / (2f c v max ), where f dmax is the maximum unambiguous Doppler, v max is the maximum unambiguous velocity, f c is the carrier frequency and c is the speed of light.

[0074] Frequency domain resource spacing satisfies Δf≤1 / τ max Or Δf≤c / (2R max ), where τ max is the maximum unambiguous delay, R max is the maximum unambiguous distance.

[0075] That is to say, when the frequency domain resource interval of the signal exceeds a certain value, ranging ambiguity will occur, and when the time domain resource interval exceeds a certain value, speed measurement / Doppler measurement ambiguity will be sent.

[0076] The following describes in detail a measurement method, a measurement configuration method, an apparatus, and a device provided by an embodiment of the present application through some embodiments and their application scenarios in conjunction with the accompanying drawings.

[0077] Please refer to FIG4 , which is a flow chart of a measurement method provided in an embodiment of the present application. As shown in FIG4 , the method includes the following steps:

[0078] Step 401: A first device receives first information sent by a second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0079] The first device mentioned above may be a terminal or a network side device.

[0080] The above-mentioned second device can be a terminal, a network side device or a core network device.

[0081] The measurement rule information is used to indicate measurement rules, such as measurement algorithm, measurement path, measurement window or measurement result related information.

[0082] The above-mentioned measurement threshold information is used to indicate the threshold information required to be used during the measurement process.

[0083] In some implementations, the first information may be first information determined by the second device based on information such as measurement requirements or capabilities of the first device.

[0084] Step 402: The first device performs measurement based on the first information.

[0085] The measurement performed by the first device based on the first information may be that the first device measures the signal sent by the second device based on the first information, or may be that the first device measures the signal sent by the first device based on the first information.

[0086] The above-mentioned measurement may be a perception measurement or a communication measurement.

[0087] Among them, the perception measurement can be applied to dual-base perception, for example: the first device receives the first information sent by the second device, the first device receives the perception signal sent by the second device or other device and measures it to obtain the measurement result, and the measurement result can be reported to the second device or other device. Among them, in this scenario, the first device and the second device can be terminals or base stations (or TRPs), such as the first device is a base station and the second device is a terminal, or the first device is a terminal and the second device is a base station; or the first device and the second device are both base stations; or the first device and the second device are both terminals; or the first device is a terminal or a base station, and the second device is a core network perception network function or a perception network element.

[0088] Alternatively, perception measurement can be applied to single-base perception. For example, a first device receives first information sent by a second device, sends a perception signal, receives an echo signal for measurement, obtains a measurement result, and the first device reports the measurement result group to the second device. In this scenario, the first device can be a terminal or a base station (or TRP), and the second device can be a core network perception network function or perception network element, or a base station or a terminal.

[0089] In the embodiment of the present application, the above steps can enable the first device to dynamically obtain measurement rule information or measurement threshold information, and the dynamically obtained measurement rule information or measurement threshold information is more easily matched with the current measurement. In this way, measurement based on the dynamically obtained measurement rule information or measurement threshold information can improve measurement performance.

[0090] As an optional implementation manner, the measurement rule information includes at least one of the following:

[0091] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0092] Among them, the above-mentioned indication information of detecting the strongest path refers to the measurement process including detecting the strongest path. For example, for perception measurement, the path with the largest power or amplitude can be used as the perception target path, and the measurement result is estimated based on the perception target path, such as estimating at least one of the delay, Doppler, and angle information associated with the perception target path, and the distance, speed or position coordinates and other information can also be calculated based on at least one of the estimated delay, Doppler, and angle information.

[0093] The reliability of the measurement can be made higher by indicating the indication information of the strongest detected path.

[0094] Optionally, the measurement rule information including instruction information for detecting the strongest path may be understood as the measurement rule including the first device performing measurement according to the detected strongest path.

[0095] The above-mentioned indication information for detecting a path exceeding a threshold indicates that the measurement process includes estimating measurement results based on the path exceeding the threshold. For example, for sensing measurement, the path whose power or amplitude exceeds the threshold may be used as the sensing target path, and the measurement result estimation may be performed based on the sensing target path. The above-mentioned threshold may be the threshold indicated by the above-mentioned threshold information or a preconfigured threshold.

[0096] The reliability of the measurement can be made higher by indicating the detection information of the path exceeding the threshold.

[0097] Optionally, the measurement rule information including instruction information for detecting a path exceeding a threshold may be understood as the measurement rule including the first device performing measurement according to the path exceeding the threshold.

[0098] The number of detected paths mentioned above refers to the maximum number of paths that are limited to be detected during the measurement process, thereby limiting the overhead during reporting. For example, the maximum number of detected paths is M, and the number of paths that exceed the threshold is N (N>M). For these N paths, the M paths before the power / amplitude are taken as the detection results.

[0099] By indicating the number of detection paths, the overhead of node measurement and reporting can be reduced to improve measurement performance.

[0100] Optionally, the measurement rule information including the number of detection paths may be understood as the measurement rule including the first device performing measurement according to the number of detection paths.

[0101] The above-mentioned detection window information refers to the detection window during the measurement process, which can be a Doppler detection, delay detection window, speed detection window, angle detection window, etc. For example: for perception measurement, the path with the maximum detection power or amplitude within the detection window range or exceeding a preset threshold can be used as the perception target path, and the measurement result is estimated based on the perception target path, that is, filtering is performed according to the detection window range, which can reduce interference and improve detection accuracy. For example, for breathing detection, the indicated Doppler detection range is [0.1Hz, 1Hz], then the first device filters the Doppler dimension result according to this range and detects the breathing frequency, which can avoid interference caused by the movement of other targets in the environment.

[0102] By indicating the above detection window information, the measurement accuracy can be improved.

[0103] Optionally, the measurement rule information including the detection window information may be understood as the measurement rule including the first device performing measurement according to the detection window information.

[0104] The above-mentioned measurement result granularity information can be an indication of the minimum granularity of the measurement result application or reporting, and specifically can be the minimum scale value of the measurement result in a certain dimension. The minimum scale value during target detection can be reduced by increasing signal resources (for example, increasing the bandwidth to improve the delay resolution, or increasing the coherent processing time to improve the Doppler resolution, etc., or by padding the calculation resolution with zeros before the discrete Fourier transform (Fast Fourier Transform, FFT) operation, etc.). In addition, the above-mentioned measurement result granularity information allows the first device to ensure that the transceiver has a consistent understanding of the meaning of the reported numerical value when reporting the measurement result, such as reporting the FFT index value corresponding to the Doppler frequency domain, and having a consistent understanding of the meaning of the index.

[0105] By indicating the granularity information of the measurement result, the measurement accuracy can be improved, and the accuracy of the measurement report can be improved.

[0106] Optionally, the measurement rule information including the measurement result granularity information may be understood as the measurement rule including the first device reporting the measurement result according to the measurement result granularity information.

[0107] The measurement result clustering information may be used to indicate at least one of the following:

[0108] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0109] The above-mentioned clustering of measurement results may be clustering measurements with the same or similar measurement results to reduce the complexity of measurement reporting.

[0110] The above clustering types may include, but are not limited to, prototype clustering, hierarchical clustering, density clustering, and the like.

[0111] The clustering method includes at least one of the following:

[0112] Density-Based Spatial Clustering of Applications with Noise (DBSCAN), for which the clustering parameters may include at least one of the following: neighborhood radius (Eps), sample number threshold (MinPts);

[0113] K-means clustering, for which the clustering parameters may include at least one of the following: number of categories, number of clusters, cluster center threshold, and maximum number of iterations;

[0114] Gaussian mixture clustering method (Mixture-of-Gaussian), for which the clustering parameters may include at least one of the following: the number of clusters, the number of iterations;

[0115] Density-based clustering (Ordering Points to Identify the Clustering Structure, OPTICS) algorithm, for which the clustering parameters may include at least one of the following: neighborhood radius (Eps), sample number threshold (MinPts);

[0116] Canopy clustering method, for this clustering, the above clustering parameters may include at least one of the following: multiple distance thresholds T1 and T2 from the center point, where T1 and T2 are two different distance thresholds.

[0117] The measurement result clustering information can make the measurement result simpler and more reliable.

[0118] Optionally, that the measurement rule information includes the measurement result clustering information may be understood as the measurement rule including the first device performing measurement clustering or measurement result clustering according to the measurement result clustering information.

[0119] The dimensionality reduction information of the measurement result may be used to indicate at least one of the following:

[0120] Whether to perform dimensionality reduction, dimensionality reduction method, and dimensionality reduction parameters;

[0121] Dimensionality reduction refers to reducing the dimension of the measurement results to reduce the data volume of the measurement results and reduce the measurement result reporting overhead.

[0122] Dimensionality reduction methods may include at least one of the following:

[0123] Principal Component Analysis (PCA), the dimensionality reduction parameters may include: the number of dimensions after dimensionality reduction, and an indicator parameter indicating whether whitening processing is performed;

[0124] Linear Discriminant Analysis (LDA), the above-mentioned dimensionality reduction parameters may include: projection direction;

[0125] Isometric mapping (lsomap), the above-mentioned dimensionality reduction parameters may include: the number of neighbors and the distance measurement method.

[0126] The data volume of the measurement results can be reduced by using the dimensionality reduction information of the measurement results.

[0127] Optionally, the measurement rule information including the measurement result dimensionality reduction information may be understood as the measurement rule including the first device reducing the dimensionality of the measurement result according to the measurement result dimensionality reduction information.

[0128] As an optional implementation manner, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0129] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0130] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0131] The dimensions of the at least two combinations mentioned above may be a delay-Doppler dimension, or a delay-Doppler-angle dimension or other combination dimensions.

[0132] The measurement rule information of the at least one dimension may include at least one of the following:

[0133] Indication information of the strongest path detected in at least one dimension, indication information of the path detected exceeding a threshold in at least one dimension, the number of detected paths in at least one dimension, detection window information in at least one dimension, and measurement result granularity information in at least one dimension.

[0134] Since the measurement rule information of at least one dimension is included, it is possible to perform measurement rule indication with dimension as granularity, thereby improving measurement accuracy.

[0135] As an optional implementation manner, the measurement threshold information includes at least one of the following:

[0136] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0137] The threshold value information is used to indicate a threshold used by the first device during the measurement process, for example, a threshold for determining a path or a threshold for detecting a target.

[0138] The above-mentioned threshold value information can be associated with the perception requirement, or the above-mentioned threshold value information can be determined or adjusted based on historical measurement results (for example, at least one of the perception-associated performance indicators). For example, the threshold value information can be determined by the second device based on prior information or perception requirement information, for example, based on the measured noise power information or signal to interference plus noise ratio (SINR) information, and the false alarm probability requirement. Calculate a specific threshold value, so that the threshold value can be more matched with the measurement requirement, thereby making the measurement result more reliable.

[0139] The above-mentioned threshold value information may be threshold value information indicating at least one dimension, and the threshold values ​​of different dimensions may be the same or different; in addition, the above-mentioned threshold value information may be multiple threshold values, and the first device performs detection based on these multiple threshold values ​​separately, such as performing target detection separately.

[0140] The above threshold value information can be used to make the threshold used by the first device during the measurement process more compatible with the current measurement, thereby improving measurement performance.

[0141] The parameter information associated with the threshold calculation is parameter information used to calculate the threshold, so the first device calculates the threshold value based on the parameter information.

[0142] The parameter information associated with the threshold calculation may include at least one of the following:

[0143] False alarm probability P fa ;

[0144] Threshold factor α;

[0145] Constant false alarm rate (CFAR) detection type, where the CFAR detection type can include at least one of the following: cell averaging-constant false alarm rate (CA-CFAR), greatest option-constant false alarm rate (GO-CFAR), smallest option-constant false alarm rate (SO-CFAR), and order statistics-constant false alarm rate (OS-CFAR);

[0146] CFAR detection protection unit length. The CFAR detection protection unit length may be indicated for different dimensions, for example, indicating the protection unit length for the Doppler dimension and the protection unit length for the delay dimension respectively.

[0147] CFAR detection reference unit length;

[0148] CFAR detection protection unit pattern;

[0149] CFAR detection reference cell pattern.

[0150] The parameter information associated with the threshold calculation may be associated with the perception requirement, or the parameter information associated with the threshold calculation may be determined or adjusted based on historical measurement results (eg, at least one of the perception-related performance indicators).

[0151] The parameter information associated with the threshold calculation can enable the first device to determine the threshold used in the measurement process, so that the threshold is more closely matched with the current measurement, thereby improving measurement performance.

[0152] The at least one threshold level information may include at least one threshold, each threshold corresponding to a threshold level. These threshold levels may be different threshold levels defined by the protocol, and the different threshold levels may have different threshold values ​​or different corresponding threshold calculation parameters, such as different threshold factors. Using the at least one threshold level information, the first device may obtain at least one threshold used for target detection. For multiple threshold levels, measurement results at different threshold levels may be obtained.

[0153] For example, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information, wherein the multiple threshold level information may indicate multiple different levels of detection thresholds or multiple threshold levels.

[0154] Taking three threshold levels as an example, as shown in Figure 5, the dashed, dot-dash, and solid lines in Figure 5 correspond to the three threshold levels, respectively. Thus, the first device performs measurements based on different threshold levels. For sensing measurements, when reporting sensing measurement results, the first device may report measurement results for targets that meet the threshold requirements of different levels. For example, it may report the measurement results corresponding to each target and the extent to which they meet the threshold requirements of different levels, such as information about the highest threshold level met by the power or intensity of each target-associated path, as well as delay, Doppler, or angle information for each target-associated path. For example, the second device may instruct the first device on multiple detection thresholds of different levels or multiple threshold levels, and the first device may perform target detection based on the different detection thresholds or threshold levels. When reporting sensing measurement results, the first device may report measurement results for targets that meet the different detection thresholds or threshold requirements of different levels. Specifically, it may report the measurement results corresponding to each target and the extent to which they meet the detection threshold requirements of different levels or threshold levels, such as information about the highest threshold level met by the power or intensity of each target-associated path, as well as delay, Doppler, or angle information for each target-associated path.

[0155] The at least one threshold level information may enable the first device to perform measurement based on multiple threshold level information and obtain measurement results of multiple threshold levels, thereby improving measurement performance.

[0156] As an optional implementation manner, the first information further includes at least one of the following:

[0157] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0158] The above-mentioned signal configuration information is the configuration information of the signal used for the above-mentioned measurement. For example, for perception measurement, the above-mentioned signal configuration information is the configuration information of the signal used for perception measurement. The configuration information may indicate the type of signal, the resource of the signal, etc.

[0159] The above signal may include at least one of the following:

[0160] Dedicated sensing signals, such as those generated based on chirp or frequency modulated continuous wave (FMCW) signals, or those generated based on pseudo-random (PN) sequences, ZC sequences, or other constant envelope zero auto-correlation (CAZAC) sequences;

[0161] Reference signals, such as Demodulation Reference Signal (DMRS), Channel State Information Reference Signal (CSI-RS), Sounding Reference Signal (SRS), or Positioning Reference Signal (PRS);

[0162] Synchronization signals, such as Primary Synchronization Signal (PSS) or Secondary Synchronization Signal (SSS);

[0163] Signals that carry communication data, such as the Physical Downlink Shared Channel (PDSCH), Physical Uplink Shared Channel (PUSCH), Physical Downlink Control Channel (PDCCH), or Physical Uplink Control Channel (PUCCH) signals.

[0164] The above signal can be a single-port signal or a multi-port signal.

[0165] The signal configuration information may refer to resource configuration information of multiple signals, that is, configuring multiple signal resources for measurement.

[0166] The signal configuration information may also include at least one of the following:

[0167] Signal resource identification, signal usage, waveform, subcarrier spacing, guard interval, frequency domain starting position, frequency domain resource length, frequency domain resource interval, time domain starting position, time domain resource length, time domain resource interval, time domain burst information, time domain resource characteristics, signal power, sequence information, signal direction, Quasi Co-Location (QCL) relationship, and cyclic prefix information.

[0168] The above signal resource identifier is used to distinguish different signal resource configurations;

[0169] The signal usage indicates whether the target signal is used for communication (e.g., channel measurement, channel estimation, synchronization, carrying data information, etc.), a signal used for sensing, or a signal used for both communication and sensing. Specifically, it may also indicate which sensing service the signal is used for, or which type of sensing service the signal is used for.

[0170] The sensing service may include at least one of the following:

[0171] Detect target presence, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, classification, radar cross-section RCS (Radar Cross Section, RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, population statistics, indoor positioning, gesture recognition, lip reading recognition, gait recognition, expression recognition, facial recognition, respiratory monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, topography, building / vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc. The perception service type can be to classify multiple different perception services according to certain characteristics, for example, according to function, it can be divided into detection-type perception services (for example, including intrusion detection, fall detection), parameter estimation-type perception services (distance, angle, speed calculation), recognition-type perception services (motion recognition, identity recognition), etc., and can also be divided according to the range of perception (close-range perception, medium-range perception, long-range perception), according to the degree of perception fineness (coarse-grained perception, fine force perception, etc.), according to power consumption / energy consumption, according to resource occupancy, etc.

[0172] The waveform may be OFDM, single-carrier frequency-division multiple access (SC-FDMA), orthogonal time-frequency space (OTFS), frequency modulated continuous wave (FMCW), or a pulse signal;

[0173] The above subcarrier spacing may be the subcarrier spacing of an OFDM system, for example, 30 kHz.

[0174] The guard interval can be the time interval from the moment the signal ends to the moment the latest echo signal of the signal is received. This parameter is proportional to the maximum sensing distance. For example, it can be calculated by c / (2R max ) is calculated, R max is the maximum perception distance (belonging to the perception demand information), such as for the self-transmitted and self-received perception signal, R max Represents the maximum distance between the perceived signal transmission and reception point and the signal reflection point; in some cases, the OFDM signal cyclic prefix (CP) can serve as the minimum guard interval, and c is the speed of light.

[0175] The above-mentioned frequency domain starting position may be a starting frequency point, or a starting resource element (RE) or resource block (RB) index.

[0176] The frequency domain resource length may be a frequency domain bandwidth, which is inversely proportional to the distance resolution. The frequency domain bandwidth of each signal is B≥c / (2ΔR), where c is the speed of light and ΔR is the distance resolution.

[0177] The frequency domain resource spacing represents the spacing between adjacent signal frequency domain resource units and can be expressed as the number of REs or RBs, or as a density value (Density). For example, Density = 1 indicates that there is one RE in each RB used to carry the signal. The frequency domain resource spacing is inversely proportional to the maximum unambiguous distance / delay. For an OFDM system, when subcarriers are mapped continuously, the frequency domain spacing is equal to the subcarrier spacing.

[0178] The above-mentioned time domain starting position can be a starting time point, or a starting symbol, time slot, or frame index.

[0179] The time domain resource length may be a burst duration, and the time domain resource length is inversely proportional to the Doppler resolution.

[0180] The time domain resource interval may be a time interval between two adjacent signal resource units, and the time domain resource interval is associated with a maximum unambiguous Doppler frequency shift or a maximum unambiguous speed.

[0181] The time domain burst information may include a time domain burst resource interval or a time domain burst transmission period, and the time domain burst resource interval or the time domain burst transmission period is associated with a perception result refresh frequency.

[0182] The above-mentioned time domain resource characteristics may be periodic transmission, semi-persistent transmission or aperiodic transmission.

[0183] The above signal power may be an interval power value, for example, a value is taken every 2dBm from -20dBm to 23dBm.

[0184] The above sequence information may include sequence type information (such as ZC sequence, PN sequence, etc.), sequence generation method or sequence length, etc.

[0185] The above-mentioned signal direction may be angle information or beam information of signal transmission.

[0186] The above-mentioned QCL relationship may indicate that the above-mentioned signal includes multiple resources, each resource is associated with a synchronization signal block (Synchronization Signal Block, SSB) QCL, and the QCL includes type A, type B, type C or type D.

[0187] The above-mentioned cyclic prefix (CP) information may include a CP type or a CP length, etc., wherein the CP type may include a normal cyclic prefix (NCP), an extended cyclic prefix (ECP) or a newly designed perception measurement-specific CP, etc.

[0188] The above signal configuration information can enable the first device to perform more accurate measurements.

[0189] The resource indication information of the above measurement may be at least one of a signal resource identifier, a signal port index, a beam identifier, and a beam pair identifier. The resource indication information of the above measurement may enable the first device to perform more accurate measurements.

[0190] The above-mentioned measurement quantity information is perceptual measurement quantity information for perceptual measurement, wherein the above-mentioned perceptual measurement quantity can be divided into the following types:

[0191] The first-level measurement quantity (also known as the received signal / original channel information) includes at least one of the following:

[0192] Received signal / channel response complex results, amplitude / phase, I-path / Q-path and related operation results (operations including addition, subtraction, multiplication, and division, matrix addition, subtraction, multiplication, and division, matrix transposition, trigonometric operations, square root operations, and power operations, as well as threshold detection results and maximum / minimum value extraction results of the above operation results; wherein, operations also include Fast Fourier Transform (FFT) / Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) / Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform, and digital filtering, as well as threshold detection results and maximum / minimum value extraction results of the above operation results);

[0193] The second-level measurement quantity (also called basic measurement quantity) includes at least one of the following: time delay, Doppler, angle, intensity, and their multi-dimensional combination representation;

[0194] The third level of measurement (also known as basic attributes / states) includes at least one of the following: distance, speed, direction, spatial position, acceleration;

[0195] The fourth level of measurement (also known as advanced attributes / states) includes at least one of the following: target presence, trajectory, movement, expression, vital signs, quantity, imaging results, weather, air quality, shape, material, and composition.

[0196] The above measurement information can enable the first device to perform more accurate measurements.

[0197] The above-mentioned reporting configuration information may indicate a criterion for reporting the measurement result of the first device, for example, including at least one of the reported time-frequency domain resource configuration, the reporting period, and the reported triggering event.

[0198] The triggering event includes at least one of the following:

[0199] Events of entering a specific area (e.g., a neighborhood);

[0200] Events arriving at a specific time;

[0201] An event where a certain type of measurement signal reaches a certain threshold;

[0202] Events where the device moves more than some predefined (linear) distance from its previous position;

[0203] Events where the device orientation changes by more than some predefined angles, where the device orientation can be the orientation of the device's antenna, screen, etc.

[0204] Events where the device's movement speed exceeds some predefined speed threshold;

[0205] An event in which changes in environmental information (such as temperature, humidity, or light intensity) measured by device sensors exceed a certain range.

[0206] The above-mentioned reporting configuration information can enable the first device to perform more reliable reporting.

[0207] It should be noted that, in an embodiment of the present application, the content included in the above-mentioned first information can be sent through one or more signalings.

[0208] As an optional implementation manner, the first information is associated with at least one of the following:

[0209] Perception demand information and capability information of the first device.

[0210] The association of the first information with the at least one item can be understood as meaning that all or part of the content included in the first information is determined based on the at least one item. Determining all or part of the first information based on the perception requirement information can better match the measurements performed by the first device with the perception requirement, thereby improving measurement performance. Determining all or part of the first information based on the capability information of the first device can better match the measurements performed by the first device with the capabilities of the first device, thereby improving measurement performance.

[0211] The above-mentioned perceived demand information includes at least one of the following:

[0212] Perceiving services or perceiving service types, wherein the perceiving services or perceiving service types refer to the corresponding descriptions of the above embodiments and are not described in detail here;

[0213] The perception target area may refer to a location area where the perception object may exist, or a location area where imaging or environmental reconstruction is required;

[0214] Perception object type: the perception object type can be used to classify the perception object according to its possible motion characteristics. Each perception object type contains information such as the motion speed, motion acceleration, and typical RCS of a typical perception object.

[0215] Perception QoS, which can be a performance indicator for perceiving a target area or object, includes at least one of the following:

[0216] Perception resolution, which can be divided into: ranging resolution, angle resolution, velocity resolution, imaging resolution, etc.;

[0217] Perception accuracy can be divided into: ranging accuracy, angle measurement accuracy, speed measurement accuracy, positioning accuracy, etc.

[0218] Perception range, which can be divided into: ranging range, speed measurement range, angle measurement range, imaging range, etc.;

[0219] Perception delay: Perception delay can be the time interval from the sending of the perception signal to the acquisition of the perception result, or the time interval from the initiation of the perception demand to the acquisition of the perception result;

[0220] Perception update rate, such as the time interval between two consecutive perception executions and the acquisition of perception results;

[0221] Detection probability, such as the probability of correctly detecting the perceived object when it is present;

[0222] False alarm probability, i.e. the probability of incorrectly detecting a perceived target when the perceived target does not exist;

[0223] The maximum number of targets that can be perceived.

[0224] The capability information of the first device may include at least one of the following:

[0225] Supported perception services;

[0226] Supported perception types, such as supported perception service types;

[0227] Perception capability information, such as perception range, maximum resolution, accuracy, etc., where the perception range can be delay / distance range, Doppler / velocity range, or angle range;

[0228] Receive processing capability information, such as whether clustering is supported and supported clustering algorithms;

[0229] Receive antenna port information, such as the number and index of receive antenna ports;

[0230] Beam information, such as the number of supported beams, direction, beam width, etc.

[0231] Antenna information: Antenna information may include antenna panel or array information, such as the number of antennas and aperture size on different panels or arrays.

[0232] The capability information of the first device may be provided by the first device to the second device. For example, the method further includes:

[0233] The first device sends the capability information to the second device.

[0234] In some implementations, the capability information of the first device may also be obtained by the second device through other devices.

[0235] As an optional implementation, the method further includes:

[0236] The first device sends feedback information, where the feedback information includes at least one of the following:

[0237] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0238] The perceptual performance indicator is obtained through the measurement.

[0239] The first device sending the feedback information may be sending the feedback information to the second device or the third device, and the third device may be a terminal or a network side device.

[0240] The perception measurement result may include at least one of the following:

[0241] Whether the target is detected;

[0242] The number of targets detected;

[0243] Parameter estimation results of the detected target or path, the parameter estimation results may include at least one of the following: delay, Doppler, angle, distance, speed, and position coordinates;

[0244] Spectral information, such as at least one of a delay spectrum, a distance spectrum, a Doppler spectrum, a velocity spectrum, and an angle (including an azimuth angle and / or a pitch angle) spectrum, or joint spectral information of at least two of delay / distance, Doppler / velocity, and angle, such as a delay-Doppler spectrum or a delay-Doppler-angle spectrum.

[0245] The presence or absence of targets, the number of targets, or the parameter estimation results may be the results before clustering or the results after clustering.

[0246] The above-mentioned spectrum information may refer to a complex result, for example, the delay-Doppler spectrum refers to the delay, Doppler index and corresponding complex value in the two-dimensional spectrum; the above-mentioned spectrum information may also refer to a power spectrum, for example, the delay-Doppler spectrum refers to the delay, Doppler index and corresponding power value in the two-dimensional spectrum.

[0247] In addition, the above spectrum information can be complete spectrum information calculated based on channel information, or it can be a subset of the complete spectrum information, such as a subset of spectrum information corresponding to a specific delay or Doppler range in the delay-Doppler spectrum.

[0248] Furthermore, the above spectrum information may also be the result of incoherent combination of spectrum information corresponding to different signal resources or ports or beams.

[0249] The aforementioned perceptual performance indicator may include at least one of the following:

[0250] Perception indicators related to received power;

[0251] Perceptual metrics related to interference or noise power;

[0252] A perceptual metric related to received power, and also to interference or noise power.

[0253] The above-mentioned perception indicators related to the received power may include: a first indicator, which is used to indicate the received power of the perception target association path.

[0254] In some embodiments, the first indicator may be a linear average (in W) of the received power of the path associated with the perception target in the channel response obtained by measuring the first signal on the resource unit carrying the first signal, where the resource unit is a time domain or frequency domain resource unit. In this way, the received power can be made more accurate and reliable by the linear average. It should be noted that the embodiments of the present application do not limit the received power to a linear average. For example, in some embodiments, the median received power, the minimum received power, or the maximum received power may also be taken.

[0255] The above-mentioned first signal is a signal measured by the first device, such as a dedicated signal for sensing services, or a communication signal such as a reference signal, a synchronization signal, etc.

[0256] The aforementioned perceptual indicators related to interference or noise power include at least one of the following:

[0257] a second indicator, where the second indicator is the sum of a first linear average and a second linear average, where the first linear average is the linear average of the powers of paths other than the path associated with the sensing target in the channel response of the first signal on the target resource, and the second linear average is the linear average of the interference or noise power from signals other than the first signal on the first resource; or, the second indicator is equal to the difference between the total received power and the first indicator, where the total received power is the total received power of the first device on the target resource;

[0258] a third indicator, where the third indicator is a linear average of interference or noise power from signals other than the first signal on the second resource, or the third indicator is equal to a difference between a total received power and a received power of the first signal, where the total received power is a total received power of the first device on the target resource;

[0259] a fourth indicator, the fourth indicator being a linear average of the powers of paths other than the path associated with the sensing target in the channel response of the first signal on the target resource; or, the fourth indicator being equal to the difference between the received power of the first signal and the first indicator;

[0260] Among them, the first indicator is used to indicate the receiving power of the path associated with the perception target of the first signal, the target resource is the transmission resource of the first signal, the first resource includes the target resource or at least one resource other than the target resource, and the second resource includes the target resource or at least one resource other than the target resource.

[0261] The above-mentioned other paths may be all or part of the paths in the first signal except the path associated with the above-mentioned perception target.

[0262] The other signals other than the above-mentioned first signal may refer to all or part of the signals other than the first signal detected by the first device on the first resource.

[0263] The first resource includes the target resource or at least one resource other than the target resource, which means that the first resource includes at least one of the following:

[0264] a target resource, and at least one resource other than the target resource.

[0265] The second resource includes the target resource or at least one resource other than the target resource, which means that the second resource includes at least one of the following:

[0266] a target resource, and at least one resource other than the target resource.

[0267] Among them, the above-mentioned at least one resource other than the target resource may refer to at least one resource other than the target resource among the resources that the first device needs to detect or receive signals, such as resources configured by high-level signaling or resources that the first device predetermines need to detect or receive signals.

[0268] The above-mentioned interference or noise power includes the sum of interference power and noise power, interference power or noise power.

[0269] The total received power of the first device on the target resource may include the received power of signals of the serving cell and the non-serving cell on the target resource, adjacent channel interference power, and thermal noise power. The total received power may also be a linear average (in W) of the total received power of the first device on the target resource.

[0270] The power corresponding to the received signal strength indication (RSSI) of the first device on the first resource may be total received power = RSSI * K1, where K1 is a coefficient and may be a protocol agreement or network-side configuration. In some embodiments, the power corresponding to the RSSI may also be RSSI, i.e., total received power = RSSI.

[0271] The received power of the first signal refers to the reference signal received power (RSRP) of the first signal.

[0272] The above-mentioned second indicator is equal to the difference between the total received power and the first indicator, which can be expressed as second indicator = total received power - first indicator.

[0273] The third indicator equal to the difference between the total received power and the received power of the first signal can be expressed as third indicator = total received power - first signal received power.

[0274] The fourth indicator equal to the difference between the received power of the first signal and the first indicator can be expressed as fourth indicator=received power of the first signal-first indicator.

[0275] In the above embodiment, the second indicator can be used to consider interference or noise of paths other than the path associated with the perception target and signals other than the first signal when determining measurement switching, which can make measurement switching more reliable.

[0276] In the above implementation, the third indicator can be used to consider interference or noise of other signals besides the first signal when determining measurement switching, which can make the measurement switching more reliable.

[0277] In the above implementation, the fourth indicator can be used to consider the power of other paths except the path associated with the sensing target when determining the measurement switching, which can make the measurement switching more reliable.

[0278] The above-mentioned perception indicator related to the received power and also related to the interference or noise power means that the perception indicator is related to both the received power and the interference or noise power.

[0279] In some embodiments, the perception indicator related to received power and also related to interference or noise power includes at least one of the following:

[0280] a fifth index, the fifth index being equal to a quotient obtained by dividing the first index by the second index;

[0281] a sixth index, the sixth index being equal to a quotient obtained by dividing the first index by the third index;

[0282] a seventh index, the seventh index being equal to a quotient obtained by dividing the first index by the fourth index;

[0283] an eighth indicator, the eighth indicator being equal to the product of a quotient obtained by dividing the first indicator by the total received power and a target coefficient;

[0284] The total received power is the total received power of the first device on the target resource.

[0285] The first, second, third, and fourth indicators mentioned above refer to the above-mentioned embodiments and are not described in detail here. It should be noted that, when at least one of the fifth, sixth, seventh, and eighth indicators is included, the perception-related indicators in the embodiments of the present application may include or exclude the first, second, third, and fourth indicators.

[0286] The above target coefficient can be expressed as K2, such as the eighth indicator = K2*first indicator / total received power, K2 is a coefficient, and K2 can be specifically agreed upon in the protocol or configured on the network side.

[0287] In this implementation, by using the fifth indicator, the sixth indicator, the seventh indicator or the eighth indicator, it is possible to take the received power and the interference or noise into consideration when determining the measurement switching, so that the measurement switching is more reliable.

[0288] In some implementations, the aforementioned perception indicator related to received power and also related to interference or noise power may further include at least one of the following:

[0289] Indicators related to perceived SINR, indicators related to perceived SNR, indicators related to perceived signal-to-interference ratio (SIR), and indicators related to perceived RSRQ.

[0290] In some embodiments, the path associated with the sensory target satisfies at least one of the following:

[0291] The parameter meets the first preset threshold, or the parameter is within the first preset range;

[0292] The parameters meet the preset modulation rules;

[0293] The parameter difference with the first arrival path meets the second preset threshold, or the parameter difference with the first arrival path is within a second preset range;

[0294] The parameter difference with the reference path meets a third preset threshold, or the parameter difference with the reference path is within a third preset interval.

[0295] The above parameters may include at least one of the following:

[0296] Amplitude, power, intensity, energy, phase, Doppler, delay, angle;

[0297] The above parameter difference may include at least one of the following:

[0298] Amplitude difference, power difference, intensity difference, energy difference, phase difference, Doppler difference, delay difference, and angle difference.

[0299] The first preset threshold, the first preset interval range, the second preset threshold, the second preset interval range, the third preset threshold, and the third preset interval range may be agreed upon by the protocol or configured on the network side, or these preset thresholds or preset interval ranges are determined by the receiving device based on prior perception information or perception requirements. The above-mentioned parameter satisfying the first preset threshold may mean that the parameter exceeds or is equal to the first preset threshold, the above-mentioned parameter difference with the first-reaching path satisfies the second preset threshold may mean that the parameter difference with the first-reaching path exceeds or is equal to the second preset threshold, and the above-mentioned parameter difference with the reference path satisfies the third preset threshold may mean that the parameter difference with the reference path exceeds or is equal to the third preset threshold.

[0300] For example: if the perception service is moving target detection, it is necessary to detect the path with Doppler greater than zero as the path associated with the perception target; or for the traffic scene perception target is a car, the default vehicle speed is 40km / h to 120km / h, then the path within the corresponding speed range (Doppler range) is detected as the path associated with the perception target; or the distance between the perception target area and the perception signal transceiver needs to meet specific requirements, then the path within the corresponding time delay range is detected as the path associated with the perception target; or if the perception service is respiratory monitoring, the corresponding normal respiratory rate can be judged according to the person's gender and age (for example, 15 to 30 times / minute can be used as perception prior information, and the corresponding Doppler range can be calculated, 0.25 to 0.5Hz).

[0301] The first arrival path may be a line-of-sight (LOS) path, specifically, the path of the first signal that first reaches the receiver. The reference path may be a path reflected by a known target, such as a reconfigurable intelligence surface (RIS), backscatter, or other known passive targets.

[0302] The preset modulation rule may be a protocol agreement or a network configuration. The specific modulation rule is a modulation rule of a tag or backscatter device or RIS, that is, the path associated with the sensing target may be a path modulated and reflected by the tag or backscatter device or RIS.

[0303] In one of the above optional implementations, the path associated with the perceived target can be determined in multiple ways, which can not only improve the flexibility of determining the path associated with the perceived target, but also improve the accuracy of determining the path associated with the perceived target based on multiple ways.

[0304] In some implementations, before determining the path associated with the perceived target, a path set may be determined. The path set includes path(s) whose amplitude, power, intensity, or energy exceeds a certain threshold. As shown in FIG6 , the path set includes paths 0, 1, 2, and 3. The path associated with the perceived target is then determined based on at least one of the above items in the path set to reduce computational complexity.

[0305] The following example illustrates the calculation of indicators in the embodiment of the present application through an example. It should be noted that the calculation of each indicator in the embodiment of the present application is not limited, and the following example is only an example.

[0306] The calculation method 1 of the first indicator is as follows:

[0307] The first device (such as a terminal) performs channel estimation based on the transmitted first signal X(k) and the received signal Y(k) corresponding to the first signal to obtain a channel response (Channel Response) H(k) = Y(k) / X(k), where k = 0, 1, 2, ..., K-1 represents the resource unit index, and K is the number of resource units. After obtaining the channel response H(k), the first device transforms it into a first dimension and determines the path associated with the perception target in the first dimension. The power of the path associated with the perception target is then calculated as the first indicator. If the path associated with the perception target includes multiple paths, the sum of the powers of the multiple paths is calculated as the first indicator.

[0308] The first dimension includes one of the following:

[0309] Delay dimension;

[0310] Doplevi;

[0311] Azimuth dimension;

[0312] Pitch angle dimension;

[0313] A dimension that combines at least two of the following: delay, Doppler, azimuth, and elevation dimensions. For example, delay-Doppler, delay-Doppler-angle, etc.

[0314] For example, H(f) is the channel response, where f = 0, 1, 2, ..., N-1 represents the frequency domain sampling point (e.g., subcarrier index), and H(f) can be transformed into the delay dimension (first dimension) by performing an inverse Fourier transform on it. For another example, H(f, t) is the channel response, where f = 0, 1, 2, ..., N-1 represents the frequency domain sampling point (e.g., subcarrier index), and t = 0, 1, 2, ..., M-1 represents the time domain sampling point (e.g., OFDM symbol index), and H(f, t) can be transformed into the time domain dimension by performing an inverse Fourier transform along the frequency domain dimension and a Fourier transform along the time domain dimension. Delay-Doppler dimension (first dimension); for another example, H(f,t,s) is the channel response, where f=0,1,2,…,N-1 represents the frequency domain sampling point (e.g., subcarrier index), t=0,1,2,…,M-1 represents the time domain sampling point (e.g., OFDM symbol index), and s=0,1,2,…,P-1 represents the spatial domain sampling point (antenna index or port index). Then, H(f,t,s) can be transformed into the delay-Doppler-angle dimension (first dimension) by performing an inverse Fourier transform along the frequency domain dimension, a Fourier transform along the time domain dimension, and a Fourier transform along the antenna domain dimension.

[0315] Method for determining a path associated with a perception target (referred to as a perception path for short) in a channel response obtained by measuring the first signal:

[0316] Determine the path set. The path set includes all paths whose amplitude, power, intensity, or energy exceeds a certain threshold after the channel response is transformed into the first dimension. For example, in Figure 6, paths 0, 1, 2, and 3 are the path sets. The certain threshold can be set to be above the noise threshold, above the noise interference threshold, or as agreed upon in the protocol. This step (determining the path set) is optional; the next step can be used to determine the path associated with the perceived target.

[0317] A path that satisfies a first condition is selected from the path set or from all paths of the first signal as the path associated with the perception target. The first condition includes at least one of the following:

[0318] The amplitude, power, intensity or energy of the path exceeds the preset threshold or is within the preset range, such as the preset threshold is 5 times the noise threshold;

[0319] The Doppler of the path exceeds the preset threshold or is within the preset range;

[0320] The path delay exceeds the preset threshold or is within the preset range;

[0321] The angle of the path exceeds the preset threshold or is within the preset range;

[0322] The difference between the amplitude / power / intensity / energy of the path and the first-reach path (e.g., LOS path) or the reference path exceeds a preset threshold or is within a preset range. The reference path may be a path reflected by a known target (e.g., RIS / Backscatter / other known passive targets, etc.);

[0323] The Doppler difference between the path and the first arrival path (such as the LOS path) or the reference path exceeds a preset threshold or is within a preset range;

[0324] The delay difference between the first arrival path (such as the LOS path) or the reference path exceeds the preset threshold or is within the preset range;

[0325] The angle difference between the first arrival path (e.g., LOS path) or the reference path exceeds a preset threshold or is within a preset range;

[0326] The amplitude, power, intensity, energy or phase of the path meets the specific modulation rule. The specific modulation rule is the modulation rule of the tag / backscatter device or RIS. That is, the path associated with the perceived target can be the path modulated and reflected by the tag / backscatter device or RIS.

[0327] The above-mentioned first conditions may also be based on statistical results over a period of time; for example, the ratio of the above-mentioned indicators (such as the Doppler of the path, the time delay of the path, etc.) exceeding a preset threshold or being within a preset range in a preset time window reaches a preset ratio, or the number of times the above-mentioned indicators (such as the Doppler of the path, the time delay of the path, etc.) exceed a preset threshold or are within a preset range in a preset time window reaches a preset number of times;

[0328] The preset threshold or preset interval is sent by another device to the receiving device and is determined by the other device based on prior perception information or perception requirements. Alternatively, the preset threshold or preset interval may be a protocol agreement, or the preset threshold or preset interval is determined by the receiving device based on prior perception information or perception requirements.

[0329] The priori perception information or perception requirements include the following information:

[0330] Perception services or perception service types, such as detecting the presence of a target, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, classification, radar cross section RCS (Radar Cross Section, RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, population statistics, indoor positioning, gesture recognition, lip reading recognition, gait recognition, expression recognition, facial recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, topography, building / vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc.; the perception service type can be to classify multiple different perception services according to certain characteristics, for example, according to function, it can be divided into detection-type perception services (for example, including intrusion detection, fall detection), parameter estimation-type perception services (distance, angle, speed calculation), recognition-type perception services (motion recognition, identity recognition), etc., and can also be divided according to the range of perception (close-range perception, medium-range perception, long-range perception), according to the degree of perception fineness (coarse-grained perception, fine force perception, etc.), according to power consumption / energy consumption, according to resource occupancy, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory rate can be determined based on the person's gender and age (for example, male: 13-21 breaths / minute, female: 15-20 breaths / minute; adult: 12-20 breaths / minute, child: approximately 30-40 breaths / minute), which can be used as perception prior information;

[0331] Perception target area: refers to the location area of ​​the perception object, or the location area where imaging or environmental reconstruction is required; for example, the preset interval range of the time delay of the path associated with the perception target is determined based on the approximate location / distance of the perception object;

[0332] Perception object type: Classifies the perception object according to its possible motion characteristics. Each perception object type contains information such as the typical perception object's motion speed range, motion acceleration range, and typical RCS range.

[0333] The number of perceived targets; for example, the camera perception result is used as a perception prior information to obtain the number of perceived targets.

[0334] For example, in FIG6 , paths 0, 1, 2, and 3 are paths in the path set, where paths 2 and 3 are perception paths that meet the first condition (eg, their delays meet a preset threshold), and paths 0 and 1 are paths associated with other scatterers.

[0335] 6 is a schematic diagram of multipath of the channel response in the first dimension (delay dimension, Doppler dimension, azimuth dimension, or elevation angle dimension), wherein the horizontal axis is the first dimension and the vertical axis is the normalized amplitude, power, intensity or energy.

[0336] For frequency range 1, the reference point for the first metric can be the antenna connector of a receiving device, such as a terminal. For frequency range 1, if the receiving device has multiple receiving channels, the first metric measured and reported by the receiving device cannot be lower than the metric of any single receiving channel. For frequency range 2, the first metric measured for a particular receiving channel requires measuring the combined signals of the multiple antenna elements corresponding to that receiving channel.

[0337] The calculation method 2 of the first indicator can be as follows:

[0338] When calculating the received power of the path associated with the sensing target, it can also be the power of the path associated with the sensing target in the first dimension and The difference between is taken as the first indicator, where N1 represents the number of paths associated with the perceived target. is the average power of multiple paths outside the path set in the first dimension.

[0339] The calculation method 1 of the received power of the first signal may be as follows:

[0340] The received power of the first signal may be obtained by the receiving device, after obtaining the channel response (Channel Response) H(k), transforming it into the first dimension, determining a path set in the first dimension, and then calculating the power sum of all paths in the path set.

[0341] Method 2 for calculating the received power of the first signal may be as follows:

[0342] The received power of the first signal can also be the sum of the powers of all the paths in the path set in the first dimension and , where N2 represents the number of paths in the path set.

[0343] The total received power is calculated as follows:

[0344] Total received power

[0345] Wherein, Y(k) is the received signal corresponding to the first signal, k=0, 1, 2, ..., K-1 represents the resource unit index, and K is the number of resource units.

[0346] The second indicator can be calculated as follows:

[0347] The channel response H(k) is processed by the first filter to obtain H filter1 (k), then according to H filter1 (k) and the first signal X(k) to obtain the received signal Y after the first filtering process flter1 (k), that is, Y filter1 (k)=H flter1 (k)X(k). Then the received signal Y(k) is subtracted from the received signal Y after the first filtering process. flter1 (k) Thus we get the interference and noise signal Y σ1 (k), that is, Y σ1 (k) = Y(k) - Y filter1 (k), and then calculate the second indicator:

[0348] The first filtering process is used to eliminate noise and interference in the first dimension and paths associated with non-perceptual targets. For example, the first filtering process sets the amplitude, power, intensity or energy of paths other than the paths associated with the perceptual targets in FIG6 to zero. The channel response H after the first filtering process flter1 (k) does not include noise, interference, or paths associated with non-perceived targets, but only includes paths associated with perceived targets.

[0349] The calculation method 1 of the third indicator can be as follows:

[0350] The channel response H(k) is processed by the second filter to obtain H filter2 (k), then according to H filter2 (k) and the first signal X(k) to obtain the second filtered received signal Y flter2 (k), that is, Y filter2 (k)=H filter2 (k)X(k). Then the received signal Y(k) is subtracted from the received signal Y after the second filtering process. filter2 (k) Thus we get the interference and noise signal Y σ2 (k), that is, Y σ2 (k) = Y(k) - Y filter2 (k), and then calculate the third indicator:

[0351] The second filtering process can be a noise interference suppression process in the first dimension (for example, the amplitude, power, intensity or energy of the paths other than the path set in FIG6 is set to zero), or a minimum mean square error (MMSE) filter. The channel response H after the second filtering process is filter2 (k) does not contain noise and interference, but only contains the paths in the path set.

[0352] The calculation method 2 of the third indicator can be as follows:

[0353] According to the average power of multiple paths outside the path set in the first dimension Calculate the third index P σ2 ,Right now Where N represents the number of sampling points in the first dimension.

[0354] It should be noted that if the receiving device determines that there are multiple sensing targets, or the receiving device obtains the number of sensing targets based on prior sensing information or sensing requirements, the following methods are available:

[0355] Method 1: Calculate the perception-related indicators (also called target indicators) of each perception target separately. For example, in Figure 4, the path associated with each perception target is determined separately, and then the perception-related indicators corresponding to each perception target are calculated separately; when calculating the second indicator corresponding to a certain perception target (such as perception target A), there are two methods: namely: the second indicator of perception target A = total received power - the first indicator of perception target A; or, the second indicator of perception target A = total received power - the first indicator of perception target A - the first indicator of perception target B; (assuming there are two perception targets: A and B); similarly, there are two ways to calculate the fourth indicator: the fourth indicator of perception target A = the RSRP of the first signal - the first indicator of perception target A; or, the fourth indicator of perception target A = the RSRP of the first signal - the first indicator of perception target A - the first indicator of perception target B; (assuming there are two perception targets: A and B)

[0356] Method 2: Calculate a perception-related index for multiple perception targets. For example, in Figure 6, determine the paths associated with any perception target, and then determine these paths as the paths associated with the perception target. This is equivalent to treating multiple perception targets as a virtual perception target and then calculating the perception-related index corresponding to the virtual perception target.

[0357] It should be noted that the above calculation method is only an example, and the embodiments of this application do not limit the specific calculation method of the indicator.

[0358] The description information associated with the perception measurement result is used to further explain the perception measurement result or to assist the device receiving the feedback information in better understanding the perception measurement result. In this way, the description information associated with the perception measurement result can make the perception measurement result feedback more effective.

[0359] The description information associated with the above-mentioned perception performance indicators is used to further explain the perception performance indicators, or to help the device receiving the feedback information better understand the perception performance indicators. In this way, the description information associated with the above-mentioned perception performance indicators can make the perception performance indicator feedback more effective.

[0360] The description information associated with the above-mentioned perception measurement result or perception performance indicator may include at least one of the following:

[0361] Timestamp;

[0362] Resource information, the resource information includes at least one of the following: a signal resource identifier, a port identifier (such as a first signal port identifier, a receiving antenna port or a receiving channel identifier, a transmitting beam or a receiving beam identifier;

[0363] Device information, where the device information may include at least one of device identification, device location, device orientation, and movement speed.

[0364] Feedback of the perception measurement result can be made more accurate by feeding back the perception service or perception service type corresponding to the perception measurement result.

[0365] Feedback of the perception performance indicator can be made more accurate by feeding back the perception service or perception service type corresponding to the perception performance indicator.

[0366] In an embodiment of the present application, a first device receives first information sent by a second device, the first information including at least one of the following: measurement rule information and measurement threshold information. The first device performs measurement based on the first information. This allows for dynamic acquisition of measurement rule information or measurement threshold information, which makes it easier for the dynamically acquired measurement rule information or measurement threshold information to match the current measurement. Performing measurements based on the dynamically acquired measurement rule information or measurement threshold information can improve measurement performance.

[0367] Please refer to FIG7 , which is a flowchart of a measurement configuration method provided in an embodiment of the present application. As shown in FIG7 , the method includes the following steps:

[0368] Step 701: The second device sends first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0369] Optionally, the measurement rule information includes at least one of the following:

[0370] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0371] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0372] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0373] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0374] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0375] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0376] Optionally, the measurement threshold information includes at least one of the following:

[0377] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0378] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0379] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0380] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0381] Optionally, the first information further includes at least one of the following:

[0382] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0383] Optionally, the first information is associated with at least one of the following:

[0384] Perception demand information and capability information of the first device.

[0385] Optionally, the method further comprises at least one of the following:

[0386] The second device obtains the perception demand information;

[0387] The second device receives the capability information sent by the first device.

[0388] Optionally, the capability information includes at least one of the following:

[0389] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0390] Optionally, the method further includes:

[0391] The second device receives feedback information sent by the first device, where the feedback information includes at least one of the following:

[0392] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0393] The perceptual performance indicator is obtained through the measurement.

[0394] It should be noted that this embodiment is an implementation of the second device corresponding to the embodiment shown in Figure 4. Its specific implementation can refer to the relevant description of the embodiment shown in Figure 4. In order to avoid repeated description, this embodiment will not be repeated.

[0395] The following describes the method provided in the embodiments of the present application through multiple examples:

[0396] Example 1:

[0397] This embodiment mainly describes the description of sensing measurement and reporting based on measurement rule indication, and specifically describes the calculation and reporting of measurement results under different measurement rules. An example of a sensing reception processing flow is shown in FIG8 .

[0398] As shown in Figure 8, after performing a two-dimensional FFT calculation on the channel information, the information is transformed into the delay-Doppler dimension (i.e., the first dimension) for target detection. Alternatively, target detection can also be performed by transforming to the delay dimension, the Doppler dimension, or the delay-Doppler-angle dimension.

[0399] To achieve ideal sensing performance, the transmit and receive beams must be pointed at the sensing target or area during the sensing measurement process. In other words, during the sensing measurement process, the transmit and receive beams must cover the sensing target or area. Figures 9 and 10 show the sensing target or area and the corresponding transmit and receive beams in bistatic and monostatic sensing scenarios, respectively. The beams can also be called spatial filters.

[0400] Among them, (a) in Figure 9 indicates that the beam covers a specific area, and (b) in Figure 9 indicates that the beam covers a specific target; (a) in Figure 10 indicates that the beam covers a specific area, and (b) in Figure 10 indicates that the beam covers a specific target.

[0401] Among them, for different beam widths or numbers, or target volume or location distribution characteristics, or whether the beam is facing a specific sensing area or tracking a specific target, the first device may perform target detection in the first dimension in different ways. Taking different transmit beam widths as an example, assuming that there are 4 targets to be detected in the environment, when the transmitting device performs beamforming through 4 antennas or 32 antennas, the first dimension (delay dimension) associated with different transmit beams obtained by the receiving end is shown in Figures 11 and 12 below, where Figure 11 shows the delay dimension spectrum information for 4-antenna beamforming, and Figure 12 shows the delay dimension spectrum information for 32-antenna beamforming.

[0402] From the comparison of Figures 11 and 12, it can be seen that the results of the first dimension of the first device corresponding to different beam widths may be different. For Figure 11, the strongest path in the delay spectrum information under different beams may correspond to the same target. For Figure 12, the strongest path in the delay spectrum information under different beams corresponds to different targets. That is, for a specific volume target, when the transmitting beam or the receiving beam is narrow enough, it can be considered that only a single target needs to be detected under each beam coverage, that is, at this time, the receiving end can be instructed to detect one or more strongest paths. At this time, compared with detecting the path passing the threshold, the false alarm probability can be effectively reduced, the detection accuracy can be improved, and the reporting overhead can be reduced. For example, for the situation in Figure 12, the delay information related to the strongest path associated with each beam can be reported separately. It should be noted that the first dimension here is the delay dimension, which is also applicable to the case where the first dimension is other dimensions, such as the delay-Doppler dimension. Correspondingly, the measurement result can also be the delay information and Doppler information related to the strongest path under the corresponding delay-Doppler dimension. Furthermore, angle information can be obtained by using data from the corresponding delay-Doppler spectrum position of each strongest path on each receiving antenna port (receiving channel) to perform angle estimation using methods such as spatial spectrum estimation. Alternatively, this information can be distance information derived from the delay information, velocity information derived from the Doppler information, or location coordinate information derived from the distance and angle information. For bistatic sensing, the delay, Doppler, or angle information also includes delay difference, Doppler difference, and angle difference information. Specifically, this information can include the delay difference, Doppler difference, and angle difference information between the target-associated reflected signal path and the LOS path.

[0403] In addition, the number of strongest paths required for detection may be different for different target volumes, location distributions, and beam characteristics. If the number of detected paths is too small, target information may be lost, resulting in missed detections. If the number of detected paths is too large, redundant information may be added during reporting. Therefore, it is necessary to determine the appropriate number of paths to detect and report based on prior information such as perception requirements or historical measurements, or the above-mentioned beam characteristics.

[0404] On the other hand, the current minimum scale (detection granularity) of the first dimension (delay dimension) in Figures 11 and 12 is 10.175ns. One way is to increase the bandwidth of the transmitted first signal to improve the resolution, thereby making the detection granularity more refined; alternatively, the receiving device can also make the display scale of the first dimension more refined by padding with zeros. It should be noted that the delay, Doppler, or angle information of the target path (at least one strongest path or a path that exceeds a preset threshold) detected in the first dimension can refer to the actual delay, Doppler, and angle values, wherein the actual delay, Doppler, and angle values ​​can be the corresponding quantized information reported; alternatively, the delay, Doppler, or angle information of the target path (at least one strongest path or a path that exceeds a preset threshold) detected in the first dimension can also be the index value of the target path in the first dimension at the current detection granularity.

[0405] On the other hand, for methods that use threshold detection, in actual situations, the detection results for the same target usually span multiple (range / Doppler) resolution units, that is, span multiple minimum detection granularities of the first dimension. In this case, when using threshold detection, there may be many results that exceed the threshold for the same target. If all are reported, there may be a large redundant overhead. On the one hand, the number of detected paths can be limited, but this may result in the actual target path being discarded. Therefore, when the receiving device supports clustering processing, clustering processing can be performed after threshold detection, and the information from the paths of the same target can be merged before reporting the corresponding measurement results.

[0406] Example 2:

[0407] This embodiment mainly describes the description of sensing measurement and reporting based on threshold information indication, and specifically describes the indication and use of threshold information, the calculation of measurement results, and the reporting.

[0408] CFAR is a threshold detection method commonly used in actual engineering applications of radar perception. In the first dimension, for the detection of a specific unit to be detected, the signal power or amplitude of several reference units in its vicinity (determined according to the length or pattern indication of the protection unit and the reference unit) is estimated as the clutter / noise power or amplitude at the unit to be detected, which is used to set the detection threshold of the unit to be detected. For example, the clutter / noise power or amplitude is multiplied by the threshold factor α to obtain the threshold value for detecting the unit to be detected. According to the calculation method of the clutter / noise power, CFAR detection can be divided into CA-CFAR, GO-CFAR, SO-CFAR and OS-CFAR. Different CFAR detection types have different performance in different perception scenarios. Therefore, the specific CFAR detection type can be determined based on the perception requirements or historical measurement results (such as the number of targets, at least one of the perception performance indicators, etc.) and indicated to the first device.

[0409] Taking delay-Doppler two-dimensional CFAR detection as an example, the pattern of the reference unit and the protection unit for a specific unit to be detected is shown in Figure 13. The same is true for one-dimensional CFAR detection or three-dimensional CFAR detection, which will not be described in detail.

[0410] Among them, the reference unit length can be the reference unit length 1 and the reference unit length 2 on both sides of the unit to be detected as shown in Figure 13, or it can indicate the overall reference unit length (length 1 + length 2), or indicate. Moreover, for multi-dimensional CFAR detection, the protection unit and reference unit information can be indicated according to different dimensions, for example, Figure 13 indicates the protection unit and reference unit length of the delay dimension and the Doppler dimension respectively. In addition to using the uniform rectangular pattern in Figure 13 to determine the selection of the reference unit and the protection unit, it can also be determined based on other patterns, which can be several types agreed upon by the protocol, or the first device can notify the second device of multiple patterns in advance, and then dynamically indicate one of them according to the perception needs.

[0411] On the other hand, the false alarm probability requirement is associated with the perception requirement. The receiving device may be unknown, and the false alarm probability P of the first device may also be indicated. fa , the false alarm probability and the threshold factor α and the reference unit length satisfy a specific relationship, such as P fa =(1+α) -2N (N is the reference unit length.) The first device determines one of the threshold factor and the reference unit information based on the false alarm probability and the other, and further calculates the detection threshold.

[0412] To reduce computational complexity at the receiving end, the second device can directly calculate a specific threshold value based on sensing requirements or historical measurement results and indicate it to the first device. Alternatively, a unified threshold value can be used for different cells to be detected in the first dimension. For example, a unified reference cell window (unified noise / interference window) can be set for different cells to be detected in the first dimension, and the average power is calculated and multiplied by the threshold factor α to obtain the detection threshold.

[0413] In addition, different targets have different RCS characteristics, locations, etc., and their associated first-dimensional median diameters have different powers or amplitudes. If a unified threshold value or unified threshold calculation parameters are used, weak targets may not be detected or the false alarm probability may be too high. Multiple thresholds of different levels or calculation parameters of different thresholds of different levels can be indicated. The receiving end obtains detection results based on the multiple thresholds of these levels and reports the measurement results of the target diameters that meet the thresholds of different levels respectively. For example, as shown in Figure 5, the dotted line, the dotted line, and the solid line represent three levels of thresholds (threshold values ​​correspond to threshold levels 1 to 3 from low to high). Each level of threshold corresponds to a different threshold value or threshold calculation parameter (such as a threshold factor). The threshold level and specific threshold value or threshold calculation parameter can be agreed upon or notified in advance. The second device can notify the first device of the threshold level indication, and the first device determines the specific detection threshold based on the indication.

[0414] The second device may indicate multiple different levels of detection thresholds to the first device, or indicate multiple threshold levels, and the first device may perform target detection based on the different level thresholds. When reporting the perception measurement results, the first device may report the measurement results of targets that meet the requirements of different level thresholds, for example, reporting the measurement results corresponding to each target and the situation in which it meets the different level thresholds, such as the highest threshold level met by the power or intensity of the target correlation path, and the delay, Doppler, or angle information of the target correlation path.

[0415] The measurement method provided in the embodiment of the present application can improve detection performance and save reporting overhead by instructing the perception signal receiving device to perform measurement rules and detection threshold information.

[0416] The measurement method provided in the embodiment of the present application can be performed by a measuring device. In the embodiment of the present application, the measurement method performed by the measuring device is taken as an example to illustrate the measurement device provided in the embodiment of the present application.

[0417] The measurement configuration method provided in the embodiment of the present application may be executed by a measurement configuration device. In the embodiment of the present application, the measurement configuration device provided in the embodiment of the present application is described by taking the measurement configuration device executing the measurement configuration method as an example.

[0418] Please refer to FIG. 14 , which is a structural diagram of a measuring device provided in an embodiment of the present application. As shown in FIG. 14 , the measuring device 1400 includes:

[0419] The receiving module 1401 is configured to receive first information sent by a second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information;

[0420] The measuring module 1402 is configured to perform measurement based on the first information.

[0421] Optionally, the measurement rule information includes at least one of the following:

[0422] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0423] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0424] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0425] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0426] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0427] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0428] Optionally, the measurement threshold information includes at least one of the following:

[0429] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0430] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0431] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0432] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0433] Optionally, the first information further includes at least one of the following:

[0434] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0435] Optionally, the first information is associated with at least one of the following:

[0436] Perception demand information and capability information of the first device.

[0437] Optionally, the device further comprises:

[0438] The first sending module is configured to send the capability information to the second device.

[0439] Optionally, the capability information includes at least one of the following:

[0440] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0441] Optionally, the device further comprises:

[0442] The second sending module is configured to send feedback information, where the feedback information includes at least one of the following:

[0443] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0444] The perceptual performance indicator is obtained through the measurement.

[0445] The above-mentioned measuring device can improve the measuring performance.

[0446] In the embodiments of the present application, the measuring device can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or chip. For example, the electronic device can be a terminal, or it can be a device other than a terminal. For example, the terminal can include but is not limited to the types of terminals listed in the embodiments of the present application, and the other device can be a server, a network attached storage (NAS), etc., which is not specifically limited in the embodiments of the present application.

[0447] The measuring device provided in the embodiment of the present application can implement each process implemented in the method embodiment shown in Figure 4 and achieve the same technical effect. To avoid repetition, it will not be described here.

[0448] Please refer to FIG. 15 , which is a structural diagram of a measurement configuration device provided in an embodiment of the present application. As shown in FIG. 15 , the measurement configuration device 1500 includes:

[0449] The first sending module 1501 is configured to send first information to a first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0450] Optionally, the measurement rule information includes at least one of the following:

[0451] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0452] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0453] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0454] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0455] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0456] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0457] Optionally, the measurement threshold information includes at least one of the following:

[0458] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0459] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0460] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0461] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0462] Optionally, the first information further includes at least one of the following:

[0463] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0464] Optionally, the first information is associated with at least one of the following:

[0465] Perception demand information and capability information of the first device.

[0466] Optionally, the device further comprises at least one of the following:

[0467] A first acquisition module is used to acquire the perception demand information;

[0468] The second acquisition module is configured to receive the capability information sent by the first device.

[0469] Optionally, the capability information includes at least one of the following:

[0470] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0471] Optionally, the device further comprises:

[0472] A receiving module, configured to receive feedback information sent by the first device, where the feedback information includes at least one of the following:

[0473] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0474] The perceptual performance indicator is obtained through the measurement.

[0475] The above-mentioned measurement configuration device can improve measurement performance.

[0476] The measurement configuration device in the embodiment of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or a network-side device.

[0477] The measurement configuration device provided in the embodiment of the present application can implement each process implemented by the method embodiment shown in Figure 7 and achieve the same technical effect. To avoid repetition, it will not be described here.

[0478] Optionally, as shown in Figure 16, an embodiment of the present application further provides a communication device 1600, including a processor 1601 and a memory 1602, wherein the memory 1602 stores a program or instruction that can be run on the processor 1601. For example, when the communication device 1600 is a first device, the program or instruction is executed by the processor 1601 to implement the various steps of the above-mentioned measurement method embodiment and can achieve the same technical effect. When the communication device 1600 is a second device, the program or instruction is executed by the processor 1601 to implement the various steps of the above-mentioned measurement configuration method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0479] An embodiment of the present application also provides a communications device, including a processor and a communications interface, wherein the communications interface is configured to receive first information sent by a second device, the first information including at least one of the following: measurement rule information and measurement threshold information; and perform measurements based on the first information. This communications device embodiment corresponds to the aforementioned measurement method embodiment, and each implementation process and implementation method of the aforementioned method embodiment is applicable to this communications device embodiment and can achieve the same technical effects.

[0480] Specifically, Figure 17 is a schematic diagram of the hardware structure of a device for implementing an embodiment of the present application, which is a first device or a second device.

[0481] The device 1700 includes but is not limited to: a radio frequency unit 1701, a network module 1702, an audio output unit 1703, an input unit 1704, a sensor 1705, a display unit 1706, a user input unit 1707, an interface unit 1708, a memory 1709 and at least some of the components of the processor 1710.

[0482] Those skilled in the art will appreciate that device 1700 may also include a power source (such as a battery) to power various components. The power source may be logically connected to processor 1710 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The device structure shown in FIG17 does not limit the device. The device may include more or fewer components than shown, or may combine certain components or arrange the components differently, which will not be described in detail here.

[0483] It should be understood that in an embodiment of the present application, the input unit 1704 may include a graphics processing unit (GPU) 17041 and a microphone 17042, and the graphics processor 17041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 1706 may include a display panel 17061, and the display panel 17061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1707 includes a touch panel 17071 and at least one of other input devices 17072. The touch panel 17071 is also called a touch screen. The touch panel 17071 may include two parts: a touch detection device and a touch controller. Other input devices 17072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0484] In the embodiment of the present application, after receiving downlink data from a network-side device, the RF unit 1701 may transmit the data to the processor 1710 for processing. Furthermore, the RF unit 1701 may send uplink data to the network-side device. Typically, the RF unit 1701 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like.

[0485] The memory 1709 can be used to store software programs or instructions and various data. The memory 1709 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 1709 may include a volatile memory or a non-volatile memory, or the memory 1709 may include both volatile and non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DRRAM). The memory 1709 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0486] Processor 1710 may include one or more processing units. Optionally, processor 1710 integrates an application processor and a modem processor. The application processor primarily handles operations related to the operating system, user interface, and application programs, while the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 1710.

[0487] In this embodiment, the above device is taken as the first device, and the first device is taken as the terminal for illustration.

[0488] The radio frequency unit 1701 is configured to receive first information sent by a second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information; and perform measurement based on the first information.

[0489] Optionally, the measurement rule information includes at least one of the following:

[0490] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0491] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0492] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0493] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0494] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0495] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0496] Optionally, the measurement threshold information includes at least one of the following:

[0497] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0498] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0499] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0500] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0501] Optionally, the first information further includes at least one of the following:

[0502] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0503] Optionally, the first information is associated with at least one of the following:

[0504] Perception demand information and capability information of the first device.

[0505] Optionally, the radio frequency unit 1701 is further configured to:

[0506] Send the capability information to the second device.

[0507] Optionally, the capability information includes at least one of the following:

[0508] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0509] Optionally, the radio frequency unit 1701 is further configured to:

[0510] Send feedback information, where the feedback information includes at least one of the following:

[0511] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0512] The perceptual performance indicator is obtained through the measurement.

[0513] The above devices can improve measurement performance.

[0514] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the above-mentioned perception measurement result sending method and achieve the same or corresponding technical effects. To avoid repetition, it will not be repeated here.

[0515] It should be noted that the above-mentioned device can also implement the steps in the method shown in Figure 7, or can implement the method executed by each module shown in Figure 15.

[0516] The present application also provides an embodiment of a device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the steps of the method embodiment shown in FIG7 . This device embodiment corresponds to the aforementioned measurement configuration method embodiment, and each implementation process and implementation method of the aforementioned method embodiment are applicable to this device embodiment and can achieve the same technical effects.

[0517] An embodiment of the present application further provides a device, including a processor and a communication interface, wherein the communication interface is used to send first information to a first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0518] Specifically, an embodiment of the present application further provides a device, which is a first device or a second device. As shown in Figure 18, the device 1800 includes: an antenna 1801, a radio frequency device 1802, a baseband device 1803, a processor 1804, and a memory 1805. The antenna 1801 is connected to the radio frequency device 1802. In the uplink direction, the radio frequency device 1802 receives information through the antenna 1801 and sends the received information to the baseband device 1803 for processing. In the downlink direction, the baseband device 1803 processes the information to be sent and sends it to the radio frequency device 1802. The radio frequency device 1802 processes the received information and sends it out through the antenna 1801.

[0519] The perception measurement method in the above embodiment may be implemented in the baseband device 1803 , which includes a baseband processor.

[0520] The baseband device 1803 may include, for example, at least one baseband board, on which multiple chips are arranged, as shown in Figure 18, one of the chips is, for example, a baseband processor, which is connected to the memory 1805 through a bus interface to call the program in the memory 1805 and execute the device operations shown in the above method embodiment.

[0521] The device may further include a network interface 1806 , such as a Common Public Radio Interface (CPRI).

[0522] Specifically, the device 1800 of the embodiment of the present application also includes: instructions or programs stored in the memory 1805 and executable on the processor 1804. The processor 1804 calls the instructions or programs in the memory 1805 to execute the methods executed by the modules shown in FIG14 or FIG15 and achieve the same technical effect. To avoid repetition, they will not be elaborated here.

[0523] In this embodiment, the above device is taken as an example for description as the second device.

[0524] The radio frequency device 1802 is configured to send first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0525] Optionally, the measurement rule information includes at least one of the following:

[0526] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0527] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0528] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0529] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0530] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0531] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0532] Optionally, the measurement threshold information includes at least one of the following:

[0533] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0534] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0535] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0536] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0537] Optionally, the first information further includes at least one of the following:

[0538] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0539] Optionally, the first information is associated with at least one of the following:

[0540] Perception demand information and capability information of the first device.

[0541] Optionally, the radio frequency device 1802 is further configured to:

[0542] Acquiring the perceived demand information;

[0543] Receive the capability information sent by the first device.

[0544] Optionally, the capability information includes at least one of the following:

[0545] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0546] Optionally, the radio frequency device 1802 is further configured to:

[0547] Receive feedback information sent by the first device, where the feedback information includes at least one of the following:

[0548] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0549] The perceptual performance indicator is obtained through the measurement.

[0550] The above devices can improve measurement performance.

[0551] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the above-mentioned method embodiment and achieve the same or corresponding technical effects. To avoid repetition, it will not be repeated here.

[0552] It should be noted that the above-mentioned device can also implement the steps in the method shown in Figure 4, or can implement the method executed by each module shown in Figure 14.

[0553] Specifically, the embodiment of the present application further provides a network-side device, which is a second device. As shown in Figure 19, the network-side device 1900 includes: a processor 1901, a network interface 1902, and a memory 1903. The network interface 1902 is, for example, a common public radio interface (CPRI).

[0554] Specifically, the network side device 1900 of the embodiment of the present application also includes: instructions or programs stored in the memory 1903 and executable on the processor 1901. The processor 1901 calls the instructions or programs in the memory 1903 to execute the methods executed by the modules shown in FIG15 and achieve the same technical effect. To avoid repetition, they will not be elaborated here.

[0555] The network interface 1902 is configured to send first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

[0556] Optionally, the measurement rule information includes at least one of the following:

[0557] The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

[0558] Optionally, the measurement result clustering information is used to indicate at least one of the following:

[0559] Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

[0560] Optionally, the measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following:

[0561] Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension;

[0562] The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

[0563] Optionally, the measurement threshold information includes at least one of the following:

[0564] Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

[0565] Optionally, when the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

[0566] Optionally, the parameter information associated with the threshold calculation includes at least one of the following:

[0567] False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

[0568] Optionally, the first information further includes at least one of the following:

[0569] Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

[0570] Optionally, the first information is associated with at least one of the following:

[0571] Perception demand information and capability information of the first device.

[0572] Optionally, the network interface 1902 is further configured to:

[0573] Acquiring the perceived demand information;

[0574] Receive the capability information sent by the first device.

[0575] Optionally, the capability information includes at least one of the following:

[0576] Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0577] Optionally, the network interface 1902 is further configured to:

[0578] Receive feedback information sent by the first device, where the feedback information includes at least one of the following:

[0579] Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators;

[0580] The perceptual performance indicator is obtained through the measurement.

[0581] The above devices can improve measurement performance.

[0582] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned measurement method or measurement configuration method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0583] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. In some examples, the readable storage medium may be a non-transitory readable storage medium.

[0584] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface and the processor are coupled, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned measurement method or measurement configuration method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0585] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0586] An embodiment of the present application further provides a computer program / program product, which is stored in a storage medium. The computer program / program product is executed by at least one processor to implement the various processes of the above-mentioned measurement method or measurement configuration method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0587] An embodiment of the present application further provides a wireless communication system, including: a first device and a second device, wherein the first device can be used to execute the steps of the measurement method provided in the embodiment of the present application, and the second device can be used to execute the steps of the measurement configuration method provided in the embodiment of the present application.

[0588] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0589] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general-purpose hardware platform, or of course, by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes a number of instructions for enabling a terminal or network-side device to execute the methods described in each embodiment of the present application.

[0590] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of this application and the scope of protection of the claims. These implementation methods are all within the protection of this application.

Claims

1. A measurement method comprising: The first device receives first information sent by the second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information; The first device performs measurement based on the first information.

2. The method according to claim 1, wherein The measurement rule information includes at least one of the following: The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

3. The method according to claim 2, wherein: The measurement result clustering information is used to indicate at least one of the following: Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

4. The method according to any one of claims 1 to 3, wherein The measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following: Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension; The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

5. The method according to any one of claims 1 to 4, wherein The measurement threshold information includes at least one of the following: Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

6. The method according to claim 5, wherein: In a case where the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

7. The method according to claim 5 or 6, wherein: The associated parameter information of the threshold calculation includes at least one of the following: False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

8. The method according to any one of claims 1 to 7, wherein The first information also includes at least one of the following: Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

9. The method according to any one of claims 1 to 8, wherein The first information is associated with at least one of the following: Perception demand information and capability information of the first device.

10. The method of claim 9, further comprising: The first device sends the capability information to the second device.

11. The method according to claim 9 or 10, wherein: The capability information includes at least one of the following: Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

12. The method according to any one of claims 1 to 11, further comprising: The first device sends feedback information, where the feedback information includes at least one of the following: Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators; The perceptual performance indicator is obtained through the measurement.

13. A measurement configuration method, comprising: The second device sends first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

14. The method of claim 13, wherein: The measurement rule information includes at least one of the following: The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

15. The method of claim 14, wherein: The measurement result clustering information is used to indicate at least one of the following: Whether the measurement results are clustered, the clustering type, clustering method, and clustering parameters.

16. The method according to any one of claims 13 to 14, wherein The measurement rule information includes measurement rule information of at least one dimension, and the at least one dimension includes at least one of the following: Delay dimension, distance dimension, Doppler dimension, speed dimension, angle dimension, and combination dimension; The combined dimension includes at least two of the following combined dimensions: a delay dimension, a distance dimension, a Doppler dimension, a speed dimension, and an angle dimension.

17. The method according to any one of claims 13 to 16, wherein The measurement threshold information includes at least one of the following: Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

18. The method of claim 17, wherein: In a case where the measurement threshold information includes multiple threshold level information, the first device obtains multiple measurement results corresponding to the multiple threshold level information.

19. The method according to claim 17 or 18, wherein The associated parameter information of the threshold calculation includes at least one of the following: False alarm probability, threshold factor, constant false alarm rate (CFAR) detection type, CFAR detection protection unit length, CFAR detection reference unit length, CFAR detection protection unit pattern, and CFAR detection reference unit pattern.

20. The method according to any one of claims 13 to 19, wherein The first information also includes at least one of the following: Signal configuration information, measured resource indication information, measurement quantity information, and reporting configuration information.

21. The method according to any one of claims 13 to 20, wherein The first information is associated with at least one of the following: Perception demand information and capability information of the first device.

22. The method of claim 21, further comprising at least one of the following: The second device obtains the perception demand information; The second device receives the capability information sent by the first device.

23. The method according to claim 21 or 22, wherein: The capability information includes at least one of the following: Supported perception services, supported perception types, perception capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

24. A measuring device comprising: A receiving module, configured to receive first information sent by a second device, where the first information includes at least one of the following: measurement rule information and measurement threshold information; A measurement module is configured to perform measurement based on the first information.

25. The apparatus of claim 24, wherein: The measurement rule information includes at least one of the following: The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

26. The apparatus of claim 24 or 25, wherein: The measurement threshold information includes at least one of the following: Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

27. The device according to any one of claims 24 to 25, wherein The first information is associated with at least one of the following: Perception demand information and capability information of the first device.

28. The apparatus of claim 27, further comprising: The first sending module is configured to send the capability information to the second device.

29. The device according to any one of claims 24 to 28, wherein The device further comprises: The second sending module is configured to send feedback information, where the feedback information includes at least one of the following: Perception measurement results, perception performance indicators, description information associated with the perception measurement results, description information associated with the perception performance indicators, perception services or perception service types corresponding to the perception measurement results, and perception services or perception service types corresponding to the perception performance indicators; The perceptual performance indicator is obtained through the measurement.

30. A measurement configuration device comprising: The first sending module is configured to send first information to the first device, where the first information includes at least one of the following: measurement rule information and measurement threshold information.

31. The apparatus of claim 30, wherein: The measurement rule information includes at least one of the following: The information includes the indication of the strongest path detected, the indication of the path exceeding the threshold detected, the number of detected paths, the detection window information, the granularity of the measurement results, the clustering of the measurement results, and the dimensionality reduction of the measurement results.

32. The apparatus of claim 30 or 31, wherein: The measurement threshold information includes at least one of the following: Threshold value information, threshold calculation associated parameter information, and at least one threshold level information.

33. The device of any one of claims 30 to 31, wherein The first information is associated with at least one of the following: Perception demand information and capability information of the first device.

34. The apparatus of claim 33, further comprising at least one of the following: A first acquisition module is used to acquire the perception demand information; The second acquisition module is configured to receive the capability information sent by the first device.

35. A communications device, comprising a processor and a memory, the memory storing a program or instruction executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the measurement method according to any one of claims 1 to 12; and wherein the program or instruction, when executed by the processor, implements the steps of the measurement configuration method according to any one of claims 13 to 23.

36. A readable storage medium storing a program or instruction, wherein when the program or instruction is executed by a processor, the program or instruction implements the steps of the measurement method according to any one of claims 1 to 12, or implements the steps of the measurement configuration method according to any one of claims 13 to 23.

37. A computer program / program product, wherein the computer program / program product is stored in a storage medium and is executed by at least one processor to implement the steps of the measurement method according to any one of claims 1 to 12, or the steps of the measurement configuration method according to any one of claims 13 to 23.

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