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 methods, measurement configuration methods, devices and equipment

[0001] Cross-references 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] This application belongs to the field of communication technology, specifically relating to a measurement method, measurement configuration method, apparatus, and equipment. Background Technology

[0004] In some related technologies, equipment measurements are often performed using default measurement rules or threshold information. These default rules or thresholds are often not applicable to the measurements being performed, resulting in poor measurement performance. Summary of the Invention

[0005] This application provides a measurement method, measurement configuration method, apparatus, and device that can solve the problem of poor measurement performance.

[0006] Firstly, a measurement method is provided, including:

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

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

[0009] Secondly, a measurement configuration method is provided, including:

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

[0011] Thirdly, a measuring device is provided, comprising:

[0012] The receiving module is configured to receive first information sent by the second device, the first information including at least one of the following: measurement rule information and measurement threshold information;

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

[0014] Fourthly, a measuring configuration device is provided, comprising:

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

[0016] Fifthly, a communication device is provided, the device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the measurement method provided in the embodiments of this application.

[0017] In a sixth aspect, a communication device is provided, including a processor and a communication interface, wherein the communication interface is used 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 to perform measurement based on the first information.

[0018] In a seventh aspect, a communication device is provided, the device including a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the measurement configuration method provided in the embodiments of this application.

[0019] Eighthly, a communication device is provided, including a processor and a communication interface, wherein the communication interface is used to send first information to a first device, the first information including at least one of the following: measurement rule information and measurement threshold information.

[0020] In a ninth aspect, a readable storage medium is provided, on which a program or instructions are stored, which, when executed by a processor, implement the steps of the measurement method provided in the embodiments of this application, or implement the steps of the measurement configuration method provided in the embodiments of this application.

[0021] In a tenth aspect, a wireless communication system is provided, comprising: a first device and a second device, wherein the first device is configured to perform the steps of the measurement method provided in the embodiments of the present application, and the second device is configured to perform the steps of the measurement configuration method provided in the embodiments of the present application.

[0022] Eleventhly, a chip is provided, the chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the measurement method provided in the embodiments of this application, or to implement the measurement configuration method provided in the embodiments of this application.

[0023] In a 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 embodiments of this 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 embodiments of this application.

[0024] In this embodiment, 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 the dynamic acquisition of measurement rule information or measurement threshold information, and dynamically acquired measurement rule information or measurement threshold information is more easily matched with the current measurement. Therefore, measurement based on dynamically acquired measurement rule information or measurement threshold information can improve measurement performance. Attached Figure Description

[0025] Figure 1 is a block diagram of a wireless communication system applicable to an embodiment of this application;

[0026] Figure 2 is a schematic diagram of a sensing measurement scenario provided in an embodiment of this application;

[0027] Figure 3 is a schematic diagram of another sensing measurement scenario provided by an embodiment of this application;

[0028] Figure 4 is a flowchart of a measurement method provided in an embodiment of this application;

[0029] Figure 5 is a schematic diagram of a path provided in an embodiment of this application;

[0030] Figure 6 is a schematic diagram of another path provided in an embodiment of this application;

[0031] Figure 7 is a flowchart of a measurement configuration method provided in an embodiment of this application;

[0032] Figure 8 is a schematic diagram of a measurement and reporting process provided in an embodiment of this application;

[0033] Figure 9 is a schematic diagram of a measurement scenario provided in an embodiment of this application;

[0034] Figure 10 is a schematic diagram of another measurement scenario provided in an embodiment of this application;

[0035] Figure 11 is a schematic diagram of a measurement result provided in an embodiment of this application;

[0036] Figure 12 is a schematic diagram of another measurement result provided in an embodiment of this application;

[0037] Figure 13 is a schematic diagram of another measurement result provided in an embodiment of this application;

[0038] Figure 14 is a structural diagram of a measuring device provided in an embodiment of this application;

[0039] Figure 15 is a structural diagram of a measurement configuration device provided in an embodiment of this application;

[0040] Figure 16 is a structural diagram of a communication device provided in an embodiment of this application;

[0041] Figure 17 is a structural diagram of another communication device provided in an embodiment of this application;

[0042] Figure 18 is a structural diagram of another communication device provided in an embodiment of this application;

[0043] Figure 19 is a structural diagram of another communication device provided in an embodiment of this application. Detailed Implementation

[0044] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0045] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, without limiting the number of objects; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, "A or B" covers three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

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

[0047] It is worth noting that the technologies described in this application are not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, 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 this application are often used interchangeably, and the described technologies can be used with the systems and radio technologies mentioned above, as well as with other systems and radio technologies. The following description describes New Radio (NR) systems for illustrative purposes, and the term NR is used in most of the following description; however, these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) radio systems. th Generation 6G communication system.

[0048] Figure 1 shows a block diagram of a wireless communication system applicable to an embodiment of this application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipboard equipment, pedestrian user equipment (PUE), smart home (home devices with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game console, personal computer (PC), ATM, or self-service machine, etc. Wearable devices include: smartwatches, smart bracelets, smart earphones, smart glasses, smart jewelry (smart bracelets, smart chains, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among these, in-vehicle devices can also be referred to as in-vehicle terminals, in-vehicle controllers, in-vehicle modules, in-vehicle components, in-vehicle chips, or in-vehicle units, etc. It should be noted that the specific type of terminal 11 is not limited in the embodiments of this application.

[0049] Network-side equipment 12 may include access network equipment or core network equipment. Access network equipment may also be referred to as Radio Access Network (RAN) equipment, radio access network function, or radio access network unit. Access network equipment may include base stations, wireless local area network (WLAN) access points (APs), or wireless Fidelity (WiFi) nodes, etc. The term "base station" can be referred to as Node B (NB), Evolved Node B (eNB), 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, Transmission Reception Point (TRP), or any other suitable term in the relevant field, as long as the same technical effect is achieved. The term "base station" is not limited to any specific technical terminology. It should be noted that this application embodiment only uses a base station in an NR system as an example for description and does not limit the specific type of base station.

[0050] 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 and Mobility Management Function (AMF), Session Management Function (SMF), User Plane Function (UPF), Policy Control Function (PCF), Policy and Charging Rules Function (PCRF), Edge Application Server Discovery Function (EASDF), Unified Data Management (UDM), Unified Data Repository (UDR), Home Subscriber Server (HSS), Centralized network configuration (CNC), Network Repository Function (NRF), Network Exposure Function (NEF), Local NEF (or L-NEF), Binding Support Function (BSF), and Application Function. Functions include (AF), Location Management Function (LMF), Gateway Mobile Location Centre (GMLC), and Network Data Analytics Function (NWDAF). It should be noted that this application embodiment only uses core network equipment in the NR system as an example for description, and does not limit the specific type of core network equipment.

[0051] In some embodiments, network-side devices and terminals, in addition to communication capabilities, may possess sensing capabilities. Sensing capabilities refer to the ability of one or more devices to sense information such as the location, distance, and speed of a target object through the transmission and reception of wireless signals, or to detect, track, identify, and image target objects, events, or environments. Some sensing 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 merely illustrative examples, and the categories of perception measurements are not limited in this application embodiment.

[0054] Furthermore, the embodiments of this application can be applied to integrated communication and sensing scenarios. Integrated communication and sensing refers to the integrated design of communication and sensing functions in the same system through spectrum sharing and hardware sharing. While transmitting information, the system can sense information such as location, distance, and speed, and detect, track, and identify target devices or events. The communication system and the sensing system complement each other, thereby improving overall performance and bringing a better service experience.

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

[0056] In this embodiment, depending on the different transmitting and receiving nodes of the sensing signal, there may be, but is not limited to, the six sensing links shown in Figure 2. It should be noted that each sensing link in Figure 2 is illustrated with one transmitting node and one receiving node. In actual systems, different sensing links can be selected according to different sensing requirements. Each sensing link may have one or more transmitting and receiving nodes, and the actual sensing system may include multiple different sensing links. Furthermore, the sensing targets in Figure 2 are people and vehicles as examples, and it is assumed that neither people nor vehicles carry or have installed signal transceiver equipment. The sensing targets in actual scenarios will be much more diverse.

[0057] Sensing Link 1: Base station self-transmitting and self-receiving sensing. In this method, the base station sends sensing signals and obtains the sensing results by receiving the echo of these signals;

[0058] Sensing Link 2: Inter-base station air interface sensing. In this mode, base station 2 receives sensing signals sent by base station 1 and obtains the sensing results.

[0059] Sensing Link 3: Uplink air interface sensing. In this mode, the base station receives sensing signals sent by the terminal and obtains the sensing results.

[0060] Sensing Link 4: Downlink Air Interface Sensing. In this mode, the terminal receives sensing signals sent by the base station and obtains the sensing results.

[0061] Sensing Link 5: Terminal Self-Sending and Receiving Sensing. In this mode, the terminal sends a sensing signal and obtains the sensing result by receiving the echo of the sensing signal.

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

[0063] In some embodiments, signaling transmission between radio access network devices and terminals, and between different terminals, may be via Radio Resource Control (RRC) signaling, Medium Access Control Control Element (MAC CE), Layer 1 signaling, or other newly defined sensing signaling; signaling transmission between sensing network functions and terminals may be via Non-Access-Stratum (NAS) signaling (forwarded via AMF), or via RRC signaling, MAC CE, Layer 1 signaling, or other newly defined sensing signaling; interaction between sensing network functions and base stations may be via AMF forwarding to the radio access network through the N2 interface; or the core network sensing network function may send the signal to the UPF, which in turn sends it to the radio access network through the N3 interface; or the signal may be sent to the radio access network (e.g., a base station) through a newly defined interface; signaling transmission between radio access network devices may be via the Xn interface.

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

[0065] The system interacts with wireless signal transmitting devices or wireless signal measuring devices (including target terminals or base stations serving the target terminals or associated with the target area) to exchange target information. The target information includes sensing processing requests, sensing capabilities, sensing auxiliary data, sensing measurement types, sensing resource configuration information, etc., in order to obtain the value of the target sensing result or sensing measurement (uplink measurement or downlink measurement) sent by the wireless signal measuring device. The wireless signal can also be referred to as the sensing signal.

[0066] The sensing method used is determined based on factors such as the type of sensing service, the information of sensing service consumers, the required Quality of Service (QoS) requirements, the sensing capabilities of the wireless signal transmitting equipment, and the sensing capabilities of the wireless signal measuring equipment. This sensing method may include: wireless access network device A transmitting and wireless access network device B receiving, or wireless access network device transmitting and terminal receiving, or wireless access network device A transmitting and receiving, or terminal transmitting and receiving, or terminal A transmitting and terminal B receiving, etc.

[0067] The sensing equipment serving the sensing service is determined based on factors such as the type of sensing service, information about the sensing service consumers, the required sensing QoS requirements, the sensing capabilities of the wireless signal transmitting equipment, and the sensing capabilities of the wireless signal measuring equipment. The sensing equipment includes either wireless signal transmitting equipment or wireless signal measuring equipment.

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

[0069] The system processes or calculates the values ​​of sensed measurements to obtain sensing results. It can also verify sensing results and estimate sensing accuracy.

[0070] In some embodiments, radars can be classified into monostatic radars and bistatic / multistatic radars based on whether the transmitter and receiver are separate. Bistatic radars generally require a long distance between the transmitting and receiving antennas, comparable to the radar's effective range. Among them, external radiation source radar is a special case of bistatic radar. It utilizes relevant electromagnetic wave detection theories and signal processing techniques to acquire non-cooperative electromagnetic signals emitted by a third party (such as a communication base station) to achieve target detection, location, tracking, and identification. It is also called passive radar, bistatic / multistatic passive radar, passive radar, non-cooperative illumination source radar, or non-cooperative passive detection system.

[0071] The calculation of bistatic radar sensing results generally requires the use of a reference channel (direct path) signal and a monitoring channel (reflection path) signal. A typical bistatic radar architecture is shown in Figure 3. R T R is the distance from the signal transmitter (Tx) to the target.R The distance from the signal receiver (Tx) to the target is L, the baseline distance is θ. T Let θ be the angle of the target relative to the signal transmitter. R (θ R1 θ R2 ) represents the angle of the target relative to the signal receiver, and β represents the bistatic angle.

[0072] In some embodiments, for range, Doppler, or velocity measurements commonly used in sensing measurements, measurement ambiguity can occur when signal resource configuration does not meet requirements. For example, for monostatic radar sensing, the relationship between the maximum unambiguous range, Doppler, or velocity and signal resource configuration is as follows:

[0073] If the velocity 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 velocity direction is not considered, ΔT≤1 / f dmax Or ΔT≤c / (2f) c v max ), where f dmax For the maximum unambiguous Doppler, v max For the maximum unambiguous velocity, f c denoted as carrier frequency, and c as the speed of light.

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

[0075] In other words, 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, velocity / Doppler ambiguity will be transmitted.

[0076] The following description, in conjunction with the accompanying drawings, details a measurement method, measurement configuration method, apparatus, and device provided in this application through some embodiments and application scenarios.

[0077] Please refer to Figure 4, which is a flowchart of a measurement method provided in an embodiment of this application. As shown in Figure 4, it includes the following steps:

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

[0079] The aforementioned first device can be a terminal or a network-side device.

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

[0081] The above measurement rule information is used to indicate the rules for measurement, such as the measurement algorithm, the measured diameter, the measurement window, or information related to the measurement results.

[0082] The above measurement threshold information is used to indicate the threshold information that needs to be used during the measurement process.

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

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

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

[0086] The above measurements can be sensing measurements or communication measurements.

[0087] In this context, sensing measurement can be applied to bistatic sensing. For example, a first device receives first information sent by a second device, receives sensing signals sent by the second device or other devices and performs measurements to obtain measurement results, which can then be reported to the second device or other devices. In this scenario, the first and second devices can be terminals or base stations (or TRPs), such as the first device being a base station and the second device being a terminal; or the first device being a terminal and the second device being a base station; or both the first and second devices being base stations; or both the first and second devices being terminals; or the first device being a terminal or a base station and the second device being a core network sensing network function or sensing network element.

[0088] Alternatively, sensing measurements can be applied to monocentric sensing. For example, a first device receives first information sent by a second device, sends a sensing signal, receives the echo signal for measurement, obtains the measurement result, and then reports the measurement result in groups 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 sensing network function or sensing network element, or it can be a base station or a terminal.

[0089] In this embodiment of the application, the first device can dynamically acquire measurement rule information or measurement threshold information through the above steps. The dynamically acquired measurement rule information or measurement threshold information is more likely to be matched with the current measurement. Thus, measurement based on the dynamically acquired measurement rule information or measurement threshold information can improve measurement performance.

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

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

[0092] The aforementioned indication information for the strongest detection path refers to the detection of the strongest path during the measurement process. For example, for sensing measurement, the path with the largest power or amplitude can be used as the sensing target path, and the measurement result can be estimated based on the sensing target path. This includes estimating at least one of the time delay, Doppler, and angle information associated with the sensing target path, as well as information such as distance, velocity, or position coordinates calculated based on at least one of the estimated time delay, Doppler, and angle information.

[0093] The reliability of the measurement can be improved by indicating the strongest diameter mentioned above.

[0094] Optionally, the measurement rule information, including the indication information of the strongest detection diameter, can be understood as the measurement rule including the first device measuring according to the strongest detection diameter.

[0095] The aforementioned indication information for detecting paths exceeding a threshold refers to the estimation of measurement results based on paths exceeding a threshold during the measurement process. For example, in sensing measurements, paths with power or amplitude exceeding a threshold can be used as the target sensing path, and measurement results can be estimated based on the target sensing path. The aforementioned threshold can be the threshold indicated by the threshold information or a pre-configured threshold.

[0096] The reliability of the measurement can be improved by indicating the path that exceeds the threshold.

[0097] Optionally, the measurement rule information, including indication information for detecting diameters exceeding a threshold, can be understood as the measurement rule including the first device measuring according to the diameters exceeding the threshold.

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

[0099] Indicating the number of detection paths mentioned above can reduce the overhead of node measurement and reporting, thereby improving measurement performance.

[0100] Optionally, the measurement rule information including the number of detection diameters can be understood as the measurement rule including the first device measuring according to the number of detection diameters.

[0101] The aforementioned detection window information refers to the detection window during the measurement process. This window can be a Doppler detection window, a time delay detection window, a velocity detection window, an angle detection window, etc. For example, in sensing measurements, the diameter with the largest detected power or amplitude within the detection window range, or the diameter exceeding a preset threshold, can be used as the sensing target diameter. Measurement results are then estimated based on the sensing target diameter. This means filtering is performed according to the detection window range, which can reduce interference and improve detection accuracy. For example, in respiratory detection, if the indicated Doppler detection range is [0.1Hz, 1Hz], the first device can filter the Doppler dimension results according to this range before detecting the respiratory frequency, thus avoiding interference from the movement of other targets in the environment.

[0102] The accuracy of measurements can be improved by indicating the information in the detection window.

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

[0104] The aforementioned granularity information of the measurement results can be the smallest granularity indicator for the application or reporting of the measurement results, specifically the smallest scale value of the measurement results in a certain dimension. This minimum scale value for target detection can be reduced by increasing signal resources (e.g., increasing bandwidth to improve latency resolution, increasing coherent processing time to improve Doppler resolution, or improving computational resolution by padding with zeros before the Discrete Fourier Transform (FFT) operation). Furthermore, this granularity information ensures that when the first device reports the measurement results, the transmitting and receiving ends have a consistent understanding of the meaning of the reported values; for example, when reporting the FFT index value corresponding to the Doppler frequency domain, the meaning of that index is understood consistently.

[0105] Indicating the granularity information of the above measurement results can improve measurement accuracy and the accuracy of the measured and reported results.

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

[0107] The clustering information from the above measurement results can be used to indicate at least one of the following:

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

[0109] Clustering the above measurement results can be done by grouping measurements with the same or similar results together to reduce the complexity of measurement reporting.

[0110] Among them, the clustering types mentioned above can be clustering method types, including but not limited to: prototype clustering, hierarchical clustering, density clustering, etc.

[0111] The clustering methods described above include at least one of the following:

[0112] Density-Based Spatial Clustering of Applications with Noise (DBSCAN) may include at least one of the following clustering parameters: neighborhood radius (Eps) and sample size threshold (MinPts).

[0113] K-Means clustering, for which the above 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] The Mixture-of-Gaussian clustering method, for which the above clustering parameters may include at least one of the following: number of clusters, number of iterations;

[0115] The density-based clustering (Ordering Points to Identify the Clustering Structure, OPTICS) algorithm may include at least one of the following clustering parameters: neighborhood radius (Eps) and sample size threshold (MinPts).

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

[0117] Clustering information from the above measurement results can make the measurement results simpler and more reliable.

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

[0119] The dimensionality reduction information from the above measurement results can be used to indicate at least one of the following:

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

[0121] Dimensionality reduction refers to reducing the dimensionality of measurement results to decrease the amount of data and reduce the overhead of measurement reporting.

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

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

[0124] Linear Discriminant Analysis (LDA) can include the following dimensionality reduction parameters: projection direction.

[0125] Isometric mapping (lsomap) can include the following dimensionality reduction parameters: number of neighbors and distance metric.

[0126] The dimensionality reduction information from the above measurement results can reduce the amount of data in the measurement results.

[0127] Optionally, the measurement rule information including measurement result dimensionality reduction information can be understood as the measurement rule including the first device performing dimensionality reduction on the measurement result according to the measurement result dimensionality reduction information.

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

[0129] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0130] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

[0131] The dimensions of at least two of the above combinations can be time delay-Doppler dimensions, or combinations of time delay-Doppler-angle dimensions, etc.

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

[0133] The system includes: indication information for detecting the strongest path in at least one dimension; indication information for detecting paths exceeding a threshold in at least one dimension; the number of paths detected in at least one dimension; detection window information in at least one dimension; and measurement result granularity information in at least one dimension.

[0134] Because it includes measurement rule information in at least one dimension, it enables measurement rule indication at the dimension level, thereby improving measurement accuracy.

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

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

[0137] The threshold information mentioned above is used to indicate the threshold used by the first device during the measurement process, such as the threshold for determining the diameter or the threshold for detecting the target.

[0138] The aforementioned threshold information can be associated with sensing requirements, or it can be determined or adjusted based on historical measurement results (e.g., at least one of the performance indicators associated with sensing). For example, the threshold information can be determined by a second device based on prior information or sensing requirement information. For instance, a specific threshold value can be calculated based on the measured noise power information or signal-to-interference-plus-noise ratio (SINR) information, as well as the false alarm probability requirement. This can make the threshold value more closely match the measurement requirements, thereby making the measurement results more reliable.

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

[0140] The threshold information mentioned above allows the first device to better match the threshold used during the measurement process with the current measurement, thereby improving measurement performance.

[0141] The aforementioned threshold calculation parameters are used to calculate the threshold, and the first device calculates the threshold value based on these parameters.

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

[0143] False alarm probability P fa ;

[0144] Threshold factor α;

[0145] The constant false alarm rate (CFAR) detection type can include at least one of the following: cell averaging-constant false alarm rate (CA-CFAR), maximum 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 detects the length of the protection unit. The length of the protection unit can be indicated for different dimensions, such as the length of the protection unit in the Doppler dimension and the length of the protection unit in the time delay dimension.

[0147] CFAR detection reference cell length;

[0148] CFAR detection protection unit diagram;

[0149] CFAR detection reference cell pattern.

[0150] The associated parameter information for the above threshold calculation can be related to the perception requirement, or the associated parameter information for the above threshold calculation can be determined or adjusted based on historical measurement results (e.g., at least one of the performance indicators related to perception).

[0151] The correlation parameter information calculated by the above thresholds allows the first device to determine the threshold to be used during the measurement process, making the threshold more closely match the current measurement and thus improving measurement performance.

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

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

[0154] Taking three threshold levels as an example, as shown in Figure 5, the dashed lines, dotted lines, and solid lines in Figure 5 correspond to the three threshold levels respectively. The first device performs measurements based on different threshold levels. For sensing measurements, when reporting the sensing measurement results, the first device can report the measurement results of targets that meet the requirements of different threshold levels. For example, it can report the measurement results corresponding to each target and the conditions under which they meet different threshold levels, such as the highest threshold level information met by the power or intensity of each target's associated path, and the time delay, Doppler, or angle information of each target's associated path. For example, the second device can instruct the first device to have multiple detection threshold levels or indicate multiple threshold levels, and the first device performs target detection based on different detection threshold levels or different threshold levels. When reporting the sensing measurement results, the first device reports the measurement results of targets that meet the requirements of different detection threshold levels or different threshold levels. Specifically, it can report the measurement results corresponding to each target and the conditions under which they meet different detection threshold levels or different threshold levels, such as the highest threshold level information met by the power or intensity of each target's associated path, and the time delay, Doppler, or angle information of each target's associated path.

[0155] By using at least one threshold level information, the first device can perform measurements based on multiple threshold level information to obtain measurement results for multiple threshold levels, thereby improving measurement performance.

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

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

[0158] The signal configuration information mentioned above refers to the configuration information of the signal used for the above measurement. For example, for sensing measurement, the signal configuration information mentioned above refers to the configuration information of the signal used for sensing measurement. This configuration information can indicate the type of signal, the resources of the signal, etc.

[0159] The aforementioned signals may include at least one of the following:

[0160] Specialized sensing signals, such as sensing signals generated based on chirp or frequency modulated continuous wave (FMCW) signals, or sensing signals generated based on pseudo-random (PN) sequences, ZC sequences, or other constant envelope zero autocorrelation (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), etc.

[0162] Synchronization signals, such as the primary synchronization signal (PSS) or the secondary synchronization signal (SSS);

[0163] Signals that carry communication data, such as 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 signals can be single-port signals or multi-port signals.

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

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

[0167] Signal resource identifier, signal purpose, waveform, subcarrier spacing, guard interval, frequency domain start position, frequency domain resource length, frequency domain resource interval, time domain start 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 aforementioned signal resource identifiers are used to distinguish different signal resource configurations;

[0169] The above-mentioned signal usage indicates that the target signal is used for communication (e.g., channel measurement, channel estimation, synchronization, carrying data information, etc.), for sensing, or for both communication and sensing. Specifically, it can also be a signal used for a particular sensing service, or a signal used for a particular type of sensing service.

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

[0171] Target detection, location, velocity detection, distance detection, angle detection, acceleration detection, material analysis, composition analysis, shape detection, classification, and radar cross section (RCS). The sensing services include: Section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, facial expression recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, terrain and landform, building / vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc. The sensing service types can be classified according to certain characteristics, such as by function (detection-type sensing services, including intrusion detection and fall detection), parameter estimation-type sensing services (distance, angle, and speed calculation), and recognition-type sensing services (action recognition, identity recognition), etc. They can also be classified by sensing range (near-range sensing, medium-range sensing, and long-range sensing), by sensing fineness (coarse-grained sensing, fine-grained sensing, etc.), by power consumption / energy consumption, and by resource usage, etc.

[0172] The waveforms mentioned above can be OFDM, Single-carrier Frequency-Division Multiple Access (SC-FDMA), Orthogonal Time Frequency Space (OTFS), Frequency Modulated Continuous Wave (FMCW), or pulse signals, etc.

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

[0174] The aforementioned guard interval can be the time interval from the moment the signal ends transmission to the moment the latest echo signal of that signal is received, and this parameter is proportional to the maximum sensing distance; for example, it can be expressed as c / (2R). max )Calculations show that R max For the maximum sensing distance (belonging to sensing demand information), such as for spontaneously generated and received sensing signals, R max This represents the maximum distance from the signal transmission / reception point to the signal reflection point; in some cases, the OFDM signal cyclic prefix (CP) can serve as a minimum guard interval, where c is the speed of light.

[0175] The starting position in the frequency domain can be the starting frequency point, or it can be the starting resource element (RE) or resource block (RB) index.

[0176] The aforementioned frequency domain resource length can be the 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 interval mentioned above represents the interval between adjacent signal frequency domain resource units, which can be represented by the number of REs or RBs, or by a density value. For example, Density = 1 means that there is one RE in each RB used to carry the signal. The frequency domain resource interval is inversely proportional to the maximum unambiguous distance / delay. For OFDM systems, when the subcarriers are continuously mapped, the frequency domain interval is equal to the subcarrier interval.

[0178] The aforementioned starting position in the time domain can be the starting time point, or it can be the starting symbol, time slot, or frame index.

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

[0180] The aforementioned time-domain resource interval can be the time interval between two adjacent signal resource units, and the time-domain resource interval is related to the maximum unambiguous Doppler frequency shift or the maximum unambiguous velocity.

[0181] The time-domain burst information may include the time-domain burst resource interval or the time-domain burst transmission period, and the time-domain burst resource interval or the time-domain burst transmission period is related to the refresh frequency of the sensing results.

[0182] The aforementioned time-domain resource characteristics can be periodic transmission, semi-persistent transmission, or aperiodic transmission.

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

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

[0185] The aforementioned signal direction can be either the angle information or the beam information of the signal transmission.

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

[0187] The aforementioned cyclic prefix (CP) information may include CP type or CP length, etc. The CP type may include normal cyclic prefix (NCP), extended cyclic prefix (ECP), or a newly designed CP for sensing and measurement.

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

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

[0190] The aforementioned measurement information is referred to as perceptual measurement information, which can be categorized into the following types:

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

[0192] The received signal / channel response complex results, amplitude / phase, I-channel / Q-channel results, and related operation results (operations include addition, subtraction, multiplication, division, matrix addition, subtraction, multiplication, matrix transpose, 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; among them, the 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] Second-level measurements (also known as basic measurements) include at least one of the following: time delay, Doppler, angle, intensity, and their multidimensional combinations.

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

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

[0196] The aforementioned measurement information enables the first device to perform more accurate measurements.

[0197] The aforementioned reporting configuration information can indicate the criteria for reporting the measurement results of the first device, such as at least one of the following: the time-frequency domain resource configuration for reporting, the reporting period, and the triggering event for reporting.

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

[0199] The event of entering a specific area (e.g., a residential community);

[0200] An event that occurs at a specific time;

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

[0202] An event in which the device moves from its previous position beyond a certain predefined (linear) distance;

[0203] An event in which the orientation of a device changes beyond a certain predefined angle, where the device orientation can be the orientation of components such as the device's antenna or screen;

[0204] Events where the device's speed exceeds certain predefined speed thresholds;

[0205] Events where changes in environmental information (e.g., temperature / humidity / light intensity) measured by the device's sensors exceed a certain range.

[0206] The above-mentioned configuration information allows the first device to make more reliable reports.

[0207] It should be noted that, in the embodiments of this application, the content included in the first information can be sent through one or more signaling methods.

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

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

[0210] The association of the aforementioned first information with at least one of the aforementioned items can be understood as all or part of the content included in the aforementioned first information being determined based on at least one of the aforementioned items. Since all or part of the content in the aforementioned first information is determined based on the sensing requirement information, this allows the measurements performed by the first device to be more closely matched with the sensing requirements, thereby improving measurement performance. Similarly, determining all or part of the content in the aforementioned first information based on the capability information of the first device allows the measurements performed by the first device to be more closely matched with the capabilities of the first device, thereby improving measurement performance.

[0211] The aforementioned perceived demand information includes at least one of the following:

[0212] The sensing service or sensing service type is described in the corresponding description of the above implementation method, and will not be repeated here.

[0213] The target area for perception can refer to the area where the object being perceived may exist, or the area where imaging or environmental reconstruction is required.

[0214] The sensing object type can be a classification of sensing objects based on their possible motion characteristics. Each sensing object type contains information such as the motion velocity, motion acceleration, and typical RCS of a typical sensing object.

[0215] Sensitive QoS can be a performance metric for sensing target areas or objects, including at least one of the following:

[0216] Perception resolution can be categorized into: ranging resolution, angle measurement resolution, velocity measurement resolution, and imaging resolution, etc.

[0217] Sensing accuracy can be categorized into: ranging accuracy, angle measurement accuracy, velocity measurement accuracy, positioning accuracy, etc.

[0218] The sensing range can be divided into: ranging range, velocity measuring range, angle measuring range, imaging range, etc.

[0219] Perception latency can be the time interval from the transmission of a sensing signal to the acquisition of a sensing result, or the time interval from the initiation of a sensing demand to the acquisition of a sensing result.

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

[0221] Detection probability, such as the probability of correctly detecting an object given its presence;

[0222] False alarm probability, such as the probability of falsely detecting a target when the target does not exist;

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

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

[0225] Supported sensing services;

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

[0227] Sensing capability information, such as: sensing range, maximum resolution, accuracy, etc., where the sensing range can be time delay / distance range, Doppler / velocity range, or angular range, etc.

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

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

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

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

[0232] The capability information of the first device can 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, which includes at least one of the following:

[0237] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0238] The perception performance index is obtained through the measurement.

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

[0240] The results of the sensory measurement may include at least one of the following:

[0241] Has the target been detected?

[0242] Number of targets detected;

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

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

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

[0246] The spectral information mentioned above can refer to complex results. For example, the time-delay-Doppler spectrum refers to the time delay, Doppler index, and corresponding complex value in a 2D spectrum. The spectral information mentioned above can also refer to the power spectrum. For example, the time-delay-Doppler spectrum refers to the time delay, Doppler index, and corresponding power value in a 2D spectrum.

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

[0248] Furthermore, the aforementioned spectral information can also be the result of incoherent merging of spectral information corresponding to different signal resources, ports, or beams.

[0249] The aforementioned perceived performance metrics may include at least one of the following:

[0250] Sensing metrics related to received power;

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

[0252] Sensing metrics related to received power, as well as interference or noise power.

[0253] The aforementioned sensing indicators related to received power may include: a first indicator, which is used to indicate the received power of the sensing target associated path.

[0254] In some embodiments, the first indicator may be the linear average (in W) of the received power of the path associated with the sensing target in the channel response measured from the first signal over the resource unit carrying the first signal. This resource unit can be a time-domain or frequency-domain resource unit. Using a linear average makes the received power more accurate and reliable. It should be noted that the embodiments of this application do not limit the received power to a linear average. For example, in some embodiments, it may also be the median received power, the lowest received power, or the highest received power.

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

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

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

[0259] The fourth indicator is the linear average power of the 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 is equal to the difference between the received power of the first signal and the first indicator mentioned above.

[0260] Wherein, the first index is used to indicate the received power of the path of the first signal associated with the sensing target, 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 aforementioned other paths can be all or part of the paths in the first signal other than those associated with the perceived target.

[0262] Other signals besides the first signal mentioned above can refer to all or some of the signals detected by the first device on the first resource, excluding the first signal.

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

[0264] The target resource, and at least one other resource besides the target resource.

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

[0266] The target resource, and at least one other resource besides the target resource.

[0267] In this context, at least one resource other than the target resource can refer to at least one resource other than the target resource among the resources that the first device needs to detect or receive signals from, such as resources configured by higher-layer signaling or resources that the first device has predetermined to detect or receive signals from.

[0268] The aforementioned interference or noise power includes the sum of interference power and noise power, or 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 from the serving cell and non-serving cells on the target resource, adjacent channel interference power, and thermal noise power, etc. Furthermore, the total received power may also be a linear average of the total received power of the first device on the target resource (in W).

[0270] The power corresponding to the Received Signal Strength Indication (RSSI) of the first device on the first resource can be the total received power = RSSI * K1, where K1 is a coefficient, which can be a protocol convention or a network-side configuration. In some embodiments, the power corresponding to the RSSI can also be the RSSI itself, i.e., total received power = RSSI.

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

[0272] The second indicator mentioned above 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 aforementioned third indicator is equal to the difference between the total received power and the received power of the first signal, which can be expressed as: Third indicator = Total received power - First signal received power.

[0274] The aforementioned fourth index is equal to the difference between the received power of the first signal and the first index, and can be expressed as: Fourth index = Received power of the first signal - First index.

[0275] In the above embodiments, the second index allows interference or noise from other paths besides the path associated with the sensing target and other signals besides the first signal to be considered when determining measurement switching, thus making measurement switching more reliable.

[0276] In the above embodiments, the third indicator allows interference or noise from signals other than the first signal to be considered when determining measurement switching, thus making measurement switching more reliable.

[0277] In the above embodiments, the fourth index allows the power of other paths besides the path associated with the sensing target to be considered when determining measurement switching, which makes measurement switching more reliable.

[0278] The aforementioned perception index, which is related to both received power and interference or noise power, refers to a perception index that is related to both received power and interference or noise power.

[0279] In some implementations, the aforementioned sensing metrics related to received power, and also related to interference or noise power, include at least one of the following:

[0280] The fifth indicator is equal to the quotient obtained by dividing the first indicator by the second indicator.

[0281] The sixth indicator is equal to the quotient obtained by dividing the first indicator by the third indicator.

[0282] The seventh indicator is equal to the quotient obtained by dividing the first indicator by the fourth indicator.

[0283] The eighth index is equal to the product of the quotient obtained by dividing the first index by the total received power and the target coefficient;

[0284] Wherein, 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 are the same as those described in the above implementation method, and will not be repeated 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 this application may or may not include the first, second, third, and fourth indicators.

[0286] The aforementioned target coefficient can be represented as K2, such as the eighth indicator = K2 * the first indicator / total received power, where K2 is the coefficient, and K2 can be a protocol agreement or a network-side configuration.

[0287] In this embodiment, by using the fifth, sixth, seventh, or eighth indicators mentioned above, the receiving power and interference or noise can be taken into account when determining the measurement switch, so as to make the measurement switch more reliable.

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

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

[0290] In some implementations, the path associated with the perceived 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 the second preset range;

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

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

[0296] Amplitude, power, intensity, energy, phase, Doppler, time 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, time 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 can be agreed upon by the protocol or configured on the network side. Alternatively, these preset thresholds or preset interval ranges can be determined by the receiving device based on prior sensing information or sensing requirements. The parameters satisfying the first preset threshold can be defined as the parameters exceeding or equaling the first preset threshold. The parameter difference with the first path satisfying the second preset threshold can be defined as the parameter difference with the first path exceeding or equaling the second preset threshold. The parameter difference with the reference path satisfying the third preset threshold can be defined as the parameter difference with the reference path exceeding or equaling the third preset threshold.

[0300] For example, if the sensing service is moving target detection, then the path with a Doppler greater than zero needs to be detected as the path associated with the sensing target; or for a traffic scenario where the sensing target is a vehicle, with a default vehicle speed of 40km / h to 120km / h, then the path within the corresponding speed range (Doppler range) needs to be detected as the path associated with the sensing target; or if the distance between the sensing target area and the sensing signal transceiver needs to meet specific requirements, then the path within the corresponding time delay range needs to be detected as the path associated with the sensing target; or if the sensing service is respiratory monitoring, then the normal breathing rate can be determined based on the person's gender and age (e.g., 15 to 30 breaths / minute, which can be used as prior information for sensing, and the corresponding Doppler range of 0.25 to 0.5Hz can be calculated).

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

[0302] The aforementioned preset modulation rules can be agreed upon by the protocol or configured on the network side. Specific modulation rules are the modulation rules of tags, backscatter devices, or RIS, that is, the path associated with the sensed target can be a path that has been modulated and reflected by tags, backscatter devices, or RIS.

[0303] In one of the above optional embodiments, the path associated with the perceived target can be determined in multiple ways, which can improve the flexibility of determining the path associated with the perceived target, and can also improve the accuracy of determining the path associated with the perceived target by combining multiple methods.

[0304] In some implementations, before determining the path associated with the sensed target, a set of paths can be determined, including paths whose amplitude, power, intensity, or energy exceeds a certain threshold, as shown in Figure 6. The path set includes paths 0, 1, 2, and 3. The path associated with the sensed target is then determined from this set based on at least one of the aforementioned criteria, thereby reducing computational complexity.

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

[0306] The first indicator is calculated in the following way:

[0307] The first device (e.g., a terminal) performs channel estimation based on the transmitted first signal X(k) and the corresponding received signal Y(k) to obtain the 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 to a first dimension and determines the path associated with the sensing target in the first dimension. Then, it calculates the power of the path associated with the sensing target as a first indicator. If the path associated with the sensing target includes multiple paths, the sum of the power of the multiple paths is calculated as the first indicator.

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

[0309] Time delay dimension;

[0310] Dopplerweis;

[0311] Azimuth dimension;

[0312] Pitch angle;

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

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

[0315] The method for determining the path (referred to as the sensing path) associated with the sensing target in the channel response obtained from the first signal measurement:

[0316] Determine the path set. The paths in the path set include those whose amplitude, power, intensity, or energy exceeds a certain threshold after the channel response is transformed to the first dimension. For example, in Figure 6, paths 0, 1, 2, and 3 are paths in the path set; the certain threshold can be set to be higher than a noise threshold or a noise interference threshold, or as agreed upon by the protocol. This step (determining the path set) is optional; it can be done solely based on the next step to determine the paths associated with the sensing target.

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

[0318] The amplitude, power, intensity, or energy of the noise exceeds a preset threshold or falls within a preset range, such as a preset threshold that exceeds 5 times the noise threshold.

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

[0320] The path delay exceeds a preset threshold or falls within a preset range;

[0321] The angle of the radius exceeds the preset threshold or falls within the preset range;

[0322] The difference in amplitude / power / intensity / energy between the path and the first-reach path (e.g., the LOS path) or the reference path exceeds a preset threshold or is within a preset range. The reference path can 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 path (e.g., the LOS path) or the reference path exceeds a preset threshold or falls within a preset range;

[0324] The time delay difference between the path and the first path (e.g., the LOS path) or the reference path exceeds a preset threshold or falls within a preset range;

[0325] The angle difference between the diameter and the first-arrival diameter (e.g., the LOS diameter) or the reference diameter exceeds a preset threshold or falls within a preset range.

[0326] The amplitude, power, intensity, energy, or phase of the path satisfies a specific modulation rule, which is the modulation rule of the Tag / Backscatter device or RIS. That is, the path associated with the sensed target can be a path modulated and reflected by the Tag / Backscatter device or RIS.

[0327] Among them, the first condition of each of the above can also be based on the statistical results over a period of time; for example, the proportion of the above indicators (such as Doppler of the path, delay of the path, etc.) exceeding the preset threshold or falling within the preset range within the preset time window reaches the preset proportion, or the number of times the above indicators (such as Doppler of the path, delay of the path, etc.) exceed the preset threshold or fall within the preset range within the preset time window reaches the preset number.

[0328] The preset threshold or set range is sent to the receiving device by other devices, and is determined by the other devices based on prior sensing information or sensing requirements. Alternatively, the preset threshold or preset range can be agreed upon by a protocol, or the preset threshold or preset range can be determined by the receiving device based on prior sensing information or sensing requirements.

[0329] Among them, prior information for perception or perception needs includes the following information:

[0330] Sensing services or sensing service types, such as detecting the presence of a target, positioning, velocity detection, distance detection, angle detection, acceleration detection, material analysis, composition analysis, shape detection, category classification, and radar cross section (RCS). The sensing services include: Section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, facial expression recognition, respiration monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environmental reconstruction, terrain and landform, building / vegetation distribution detection, pedestrian or vehicle flow detection, crowd density, vehicle density detection, etc. The sensing service types can be classified according to certain characteristics, such as by function (detection-type sensing services, including intrusion detection and fall detection), parameter estimation-type sensing services (distance, angle, and speed calculation), and recognition-type sensing services (action recognition, identity recognition), etc. They can also be classified by sensing range (near-range sensing, medium-range sensing, and long-range sensing), by sensing fineness (coarse-grained sensing, fine-grained sensing, etc.), by power consumption / energy consumption, and by resource usage, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory rate can be determined based on the person's gender and age (e.g., 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 prior information for sensing.

[0331] Perception target area: refers to the location area of ​​the perceived object, or the location area that needs to be imaged or reconstructed; for example, a preset range of time delay for determining the path associated with the perceived target based on the approximate location / distance of the perceived object.

[0332] Sensing object type: Sensing objects are classified according to their possible motion characteristics. Each sensing object type contains information such as the motion velocity range, motion acceleration range, and typical RCS range of typical sensing objects.

[0333] The number of perceived targets; for example, the number of perceived targets can be obtained from the camera's perception results as a priori information.

[0334] For example, in Figure 6, paths 0, 1, 2, and 3 are paths in the path set, where paths 2 and 3 are sensing paths that satisfy the first condition (e.g., their time delay meets a preset threshold), and paths 0 and 1 are paths associated with other scatterers.

[0335] Figure 6 shows a multipath diagram of the channel response in the first dimension (time delay dimension, Doppler dimension, azimuth dimension, or elevation dimension), where the horizontal axis represents the first dimension and the vertical axis represents the normalized amplitude, power, intensity, or energy.

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

[0337] The second method for calculating the first indicator can be as follows:

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

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

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

[0341] The second method for calculating the received power of the first signal can be as follows:

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

[0343] How to calculate total received power:

[0344] Total received power

[0345] Where 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 The received signal Y after the first filtering process is calculated from (k) and the first signal X(k). flter1 (k), i.e., Y filter1 (k)=H flter1 (k)X(k). Then subtract the received signal Y(k) after the first filtering process from the received signal Y(k). flter1 (k) thus obtaining the interference and noise signal Y σ1 (k), i.e., Y σ1 (k)=Y(k)-Y filter1 (k), and then calculate the second index:

[0348] The first filtering process is used to eliminate noise and interference in the first dimension, as well as paths associated with non-perceived targets. For example, the first filtering process sets the amplitude, power, intensity, or energy of paths other than those associated with perceived targets in Figure 6 to zero. The channel response H after the first filtering process... flter1 (k) does not contain noise and interference, nor does it contain paths associated with non-perceived targets; it only contains paths associated with perceived targets.

[0349] The third indicator can be calculated in the following way:

[0350] The channel response H(k) is processed by a second filter to obtain H. filter2 (k), then according to H filter2 The received signal Y after the second filtering process is calculated from the first signal X(k) and the first signal X(k). flter2 (k), i.e., Y filter2 (k)=H filter2 (k)X(k). Then subtract the received signal Y(k) after the second filtering process from the received signal Y(k). filter2 (k) thus obtaining the interference and noise signal Y σ2 (k), i.e., Y σ2 (k)=Y(k)-Y filter2 (k), and then calculate the third index:

[0351] The second filtering process described above can be noise interference suppression processing in the first dimension (e.g., setting the amplitude, power, intensity, or energy of other paths besides the path set in Figure 6 to zero), or minimum mean squared error (MMSE) filtering. The channel response H after the second filtering process... filter2 (k) does not contain noise and interference, but only contains paths from the path set.

[0352] The third indicator can be calculated in the following way:

[0353] Based on the average power of multiple diameters outside the first dimension's mid-diameter set The third index P was calculated. 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 identifies multiple sensing targets, or if 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) for each sensing target separately. For example, in Figure 4, determine the paths associated with each sensing target, and then calculate the perception-related indicators for each sensing target. When calculating the second indicator for a certain sensing target (e.g., sensing target A), there are two methods: Second indicator of sensing target A = Total received power - First indicator of sensing target A; or, Second indicator of sensing target A = Total received power - First indicator of sensing target A - First indicator of sensing target B (assuming there are two sensing targets: A and B). Similarly, there are two ways to calculate the fourth indicator: Fourth indicator of sensing target A = RSRP of the first signal - First indicator of sensing target A; or, Fourth indicator of sensing target A = RSRP of the first signal - First indicator of sensing target A - First indicator of sensing target B (assuming there are two sensing 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 define these paths as 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 this virtual perception target.

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

[0358] The explanatory information associated with the aforementioned sensing measurement results is used to further explain the results or to assist the device receiving the feedback information in better understanding them. This explanatory information makes the feedback of the sensing measurement results more effective.

[0359] The explanatory information associated with the aforementioned perception performance indicators is used to further explain these indicators or to help the device receiving feedback information better understand them. This explanatory information makes the feedback from the perception performance indicators more effective.

[0360] The explanatory information associated with the above-mentioned perception measurement results or perception performance indicators may include at least one of the following:

[0361] Timestamp;

[0362] Resource information includes at least one of the following: signal resource identifier, port identifier (e.g., first signal port identifier, receiving antenna port or receiving channel identifier, transmitting beam or receiving beam identifier);

[0363] Equipment information, which may include at least one of the following: equipment identification, equipment location, equipment orientation, and movement speed.

[0364] By providing feedback on the sensing services or sensing service types corresponding to the aforementioned sensing measurement results, the feedback of sensing measurement results can be made more accurate.

[0365] By providing feedback on the perceived performance metrics and the corresponding perceived services or perceived service types, the feedback on perceived performance metrics can be made more accurate.

[0366] In this embodiment, 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 the dynamic acquisition of measurement rule information or measurement threshold information, and dynamically acquired measurement rule information or measurement threshold information is more easily matched with the current measurement. Therefore, measurement based on dynamically acquired measurement rule information or measurement threshold information can improve measurement performance.

[0367] Please refer to Figure 7, which is a flowchart of a measurement configuration method provided in an embodiment of this application. As shown in Figure 7, it includes the following steps:

[0368] Step 701: The second device sends first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

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

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

[0374] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0375] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0379] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

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

[0386] The second device acquires the sensing 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 sensing services, supported sensing types, sensing 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, the feedback information including at least one of the following:

[0392] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0393] The perception performance index 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 FIG4. For the specific implementation, please refer to the relevant description of the embodiment shown in FIG4. In order to avoid repeated description, this embodiment will not be repeated.

[0395] The methods provided in the embodiments of this application are illustrated below through multiple examples:

[0396] Example 1:

[0397] This embodiment mainly describes the process of sensing measurement and reporting based on measurement rule instructions, specifically explaining the calculation and reporting of measurement results under different measurement rules. An example of a sensing reception and processing flow is shown in Figure 8.

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

[0399] To achieve ideal sensing performance, during the sensing measurement process, the transmit and receive beams need to be pointed towards the sensing target or area. In other words, during the sensing measurement process, the transmit and receive beams need to cover the sensing target or sensing area. Figures 9 and 10 are schematic diagrams of the sensing target or area and the corresponding transmit and receive beams in bistatic and monostatic sensing scenarios, respectively. The beam can also be referred to as a spatial filter.

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

[0401] For different beamwidths or numbers, target volume or location distribution characteristics, or whether the beam is directed towards a specific sensing area or tracking a specific target, the method used by the first device to perform target detection in the first dimension can vary. Taking different transmitted beamwidths as an example, assuming there are 4 targets to be detected in the environment, when the transmitting device performs beamforming with 4 antennas or 32 antennas, the results of the first dimension (time delay dimension) associated with different transmitted beams obtained by the receiving end are shown in Figures 11 and 12 below. Figure 11 shows the time delay dimension spectrum information of 4-antenna beamforming, and Figure 12 shows the time delay dimension spectrum information of 32-antenna beamforming.

[0402] A comparison of Figures 11 and 12 shows that the results for the first dimension of the first device may differ depending on the beamwidth. In Figure 11, the strongest path in the delay spectrum information under different beamwidths may correspond to the same target; in Figure 12, the strongest path in the delay spectrum information under different beamwidths corresponds to different targets. That is, for a specific volume target, when the transmitting or receiving beam is sufficiently narrow, it can be assumed that only a single target needs to be detected under each beam's coverage. In this case, the receiver can be instructed to detect one or more strongest paths. Compared to detecting paths that pass through a threshold, this effectively reduces the false alarm probability, improves detection accuracy, and reduces reporting overhead. For example, in the case of 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, but this also applies to cases where the first dimension is other dimensions, such as the delay-Doppler dimension. Correspondingly, the measurement results can also be the delay information and Doppler information related to the strongest path under the delay-Doppler dimension. Furthermore, angle information can be obtained by using the corresponding time delay-Doppler spectrum data of each strongest path at each receiving antenna port (receiving channel) and methods such as spatial spectrum estimation. Alternatively, it can be distance information obtained from the time delay information, velocity information obtained from the Doppler information, or position coordinate information obtained from the distance and angle information. For bistatic sensing, the time delay, Doppler, or angle information also includes time delay difference, Doppler difference, and angle difference information; specifically, it can also include the time 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 to be detected may vary depending on the target volume, location distribution, and beam characteristics. If too few paths are detected, target information may be lost and missed detections may occur. If too many paths are detected, redundant information may be added during reporting. Therefore, it is necessary to determine the appropriate number of paths to be detected and reported based on prior information such as sensing requirements or historical measurements, or the aforementioned 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 10.175 ns. One approach 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 exceeding a preset threshold) detected in the first dimension can refer to the actual delay, Doppler, or angle value. The actual delay, Doppler, and angle value 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 exceeding a preset threshold) detected in the first dimension can also be the index value of the target path in the first dimension under the current detection granularity.

[0405] On the other hand, for threshold detection methods, in practice, the detection results for the same target often span multiple (range / Doppler) resolution units, that is, multiple smallest detection granularities in the first dimension. In this case, with threshold detection, there may be many results exceeding the threshold for the same target, and reporting all of them could result in significant redundancy overhead. One approach is to limit the number of detected paths, but this might lead to the discarding of true target paths. Therefore, when the receiving device supports clustering, clustering can be performed after threshold detection, merging the information of paths from the same target before reporting the corresponding measurement results.

[0406] Example 2:

[0407] This embodiment mainly describes the process of sensing measurement and reporting based on threshold information indication. Specifically, it provides detailed explanations of the indication and use of threshold information, the calculation of measurement results, and the reporting process.

[0408] CFAR (Clutter-Free Detection) is a commonly used threshold detection method in practical radar sensing applications. In the first dimension, for the detection of a specific target unit, the clutter / noise power or amplitude at the target unit is estimated based on the signal power or amplitude of several nearby reference units (determined by the length or pattern indication of the protection unit and reference units). This estimation is used to set the detection threshold for the target unit. For example, the threshold value for detecting the target unit is obtained by multiplying the clutter / noise power or amplitude by the threshold factor α. Based on the clutter / noise power calculation method, CFAR detection can be classified into CA-CFAR, GO-CFAR, SO-CFAR, and OS-CFAR, etc. Different CFAR detection types are suitable for different sensing scenarios and have varying performance. Therefore, the specific CFAR detection type can be determined based on sensing requirements or historical measurement results (e.g., the number of targets, at least one of the sensing performance indicators), and then indicated to the first device.

[0409] Taking time-delay-Doppler two-dimensional CFAR detection as an example, the patterns of the reference cell and protection cell for a specific cell to be detected are shown in Figure 13. The process is similar for one-dimensional or three-dimensional CFAR detection, and will not be elaborated further.

[0410] The reference unit length can be, as shown in Figure 13, the reference unit lengths 1 and 2 on either side of the unit to be detected, or it can indicate the overall reference unit length (length 1 + length 2), or simply indicate a different length. Furthermore, for multi-dimensional CFAR detection, the protection unit and reference unit information can be indicated separately according to different dimensions, such as the protection unit and reference unit lengths indicating the time delay dimension and Doppler dimension respectively in Figure 13. Besides using a uniform rectangular pattern to determine the selection of reference and protection units as shown in Figure 13, it can also be determined based on other patterns. These can be several patterns agreed upon in the protocol, or multiple patterns can be provided to the second device in advance by the first device, and then one can be dynamically indicated according to the sensing requirements.

[0411] On the other hand, the false alarm probability requirement is related to the sensing needs. The receiving device may not know the false alarm probability P, but it can also indicate the false alarm probability P of the first device. fa The false alarm probability, threshold factor α, and reference cell length satisfy a specific relationship, such as P fa = (1+α) -2N (N is the reference cell length). The first device determines one of the false alarm probability and the threshold factor or reference cell information, and then calculates the detection threshold.

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

[0413] Furthermore, different targets have different RCS characteristics and locations, resulting in varying power or amplitude of their associated first-dimensional median diameter. Using a uniform threshold value or threshold calculation parameter might lead to the failure to detect weak targets or an excessively high false alarm probability. Multiple threshold levels or different threshold calculation parameters can be indicated. The receiving end obtains the detection results based on these multiple threshold levels and reports the measurement results of target diameters that meet each threshold level. For example, as shown in Figure 5, the dashed line, dotted line, and solid line represent three threshold levels (threshold values ​​from low to high, corresponding to threshold levels 1 to 3). Each threshold level corresponds to a different threshold value or threshold calculation parameter (e.g., 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 this indication.

[0414] The second device can instruct the first device to set multiple detection thresholds of different levels, or indicate multiple threshold levels, and the first device performs target detection based on the different threshold levels. When reporting the sensing measurement results, the first device can report the measurement results of targets that meet the requirements of different threshold levels. For example, it can report the measurement results corresponding to each target and the situation in which it meets different threshold levels, such as the highest threshold level information met by the power or intensity of the target's associated path, as well as the time delay, Doppler, or angle information of the target's associated path.

[0415] The measurement method provided in this application can improve detection performance and save reporting costs by instructing the sensing signal receiving device on measurement rules and detection threshold information.

[0416] The measurement method provided in this application can be executed by a measuring device. This application uses a measuring device executing the measurement method as an example to illustrate the measuring device provided in this application.

[0417] The measurement configuration method provided in this application can be executed by a measurement configuration device. This application uses the example of a measurement configuration device executing the measurement configuration method to illustrate the measurement configuration device provided in this application.

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

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

[0420] Measurement module 1402 is used to perform measurements based on the first information.

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

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

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

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

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

[0426] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0427] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0431] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

[0437] Optionally, the device further includes:

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

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

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

[0441] Optionally, the device further includes:

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

[0443] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0444] The perception performance index is obtained through the measurement.

[0445] The aforementioned measuring device can improve measurement performance.

[0446] In the embodiments of this 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 a chip. For example, the electronic device can be a terminal, or it can be a device other than a terminal. Exemplarily, the terminal can include, but is not limited to, the types of terminals listed in the embodiments of this application. Other devices can be servers, network attached storage (NAS), etc., and the embodiments of this application do not specifically limit them.

[0447] The measuring device provided in this application embodiment can implement the various processes implemented in the method embodiment shown in FIG4 and achieve the same technical effect. To avoid repetition, it will not be described again here.

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

[0449] The first sending module 1501 is used to send first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

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

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

[0455] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0456] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0460] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

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

[0467] The first acquisition module is used to acquire the perceived demand information;

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

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

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

[0471] Optionally, the device further includes:

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

[0473] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0474] The perception performance index is obtained through the measurement.

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

[0476] The measurement configuration device in this application embodiment 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 this application embodiment can implement the various processes implemented in the method embodiment shown in FIG7 and achieve the same technical effect. To avoid repetition, it will not be described again here.

[0478] Optionally, as shown in FIG16, this application embodiment also provides a communication device 1600, including a processor 1601 and a memory 1602. The memory 1602 stores a program or instructions that can run on the processor 1601. For example, when the communication device 1600 is a first device, when the program or instructions are executed by the processor 1601, they implement the various steps of the above-described measurement method embodiment and achieve the same technical effect. When the communication device 1600 is a second device, when the program or instructions are executed by the processor 1601, they implement the various steps of the above-described measurement configuration method embodiment and achieve the same technical effect. To avoid repetition, further details are omitted here.

[0479] This application also provides a communication device, including a processor and a communication interface, wherein the communication interface is used 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 to perform measurement based on the first information. This communication device embodiment corresponds to the above-described measurement method embodiment, and all implementation processes and methods of the above-described method embodiments can be applied to this communication device embodiment and can achieve the same technical effect.

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

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

[0482] Those skilled in the art will understand that device 1700 may also include a power supply (such as a battery) for powering various components. The power supply may be logically connected to processor 1710 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The device structure shown in Figure 17 does not constitute a limitation on the device. The device may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be elaborated here.

[0483] It should be understood that, in this embodiment, the input unit 1704 may include a graphics processing unit (GPU) 17041 and a microphone 17042. The GPU 17041 processes image data of still images or videos obtained by an image capture device (such as a camera) in video capture mode or image capture mode. The display unit 1706 may include a display panel 17061, which may be configured in the form of a liquid crystal display, an organic light-emitting diode, or the like. The user input unit 1707 includes at least one of a touch panel 17071 and other input devices 17072. The touch panel 17071 is also called a touch screen. The touch panel 17071 may include a touch detection device and a touch controller. Other input devices 17072 may include, but are not limited to, physical keyboards, function keys (such as volume control buttons, power buttons, etc.), trackballs, mice, and joysticks, which will not be described in detail here.

[0484] In this embodiment, after receiving downlink data from the network-side device, the radio frequency unit 1701 can transmit it to the processor 1710 for processing; in addition, the radio frequency unit 1701 can send uplink data to the network-side device. Typically, the radio frequency unit 1701 includes, but is not limited to, antennas, amplifiers, transceivers, couplers, low-noise amplifiers, duplexers, etc.

[0485] The memory 1709 can be used to store software programs or instructions, as well as various data. The memory 1709 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 1709 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or 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 memory bus RAM (DRRAM). The memory 1709 in this embodiment 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, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 1710.

[0487] In this embodiment, the aforementioned device is used as the first device, and the first device is a terminal for illustrative purposes.

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

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

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

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

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

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

[0494] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0495] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0499] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

[0505] Optionally, the radio frequency unit 1701 is also used for:

[0506] The capability information is sent to the second device.

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

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

[0509] Optionally, the radio frequency unit 1701 is also used for:

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

[0511] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0512] The perception performance index is obtained through the measurement.

[0513] The above-mentioned equipment can improve measurement performance.

[0514] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the above-mentioned sensing measurement result sending method and achieve the same or corresponding technical effect. To avoid repetition, it will not be described again 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 methods executed by the modules shown in Figure 15.

[0516] This application also provides a device including a processor and a communication interface. The communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps of the method embodiment shown in FIG7. This device embodiment corresponds to the above-described measurement configuration method embodiment. All implementation processes and methods of the above-described method embodiment can be applied to this device embodiment and can achieve the same technical effect.

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

[0518] Specifically, this application embodiment also provides a device, which is either a first device or a second device. As shown in FIG18, 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 transmitted and sends it to the radio frequency device 1802, which then processes the received information and transmits it through the antenna 1801.

[0519] The sensing and measurement method in the above embodiments can be implemented in the baseband device 1803, which includes a baseband processor.

[0520] The baseband device 1803 may include at least one baseband board, on which multiple chips are disposed, as shown in FIG18. One of the chips is, for example, a baseband processor, which is connected to the memory 1805 via a bus interface to call the program in the memory 1805 and execute the device operations shown in the above method embodiments.

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

[0522] Specifically, the device 1800 in this application embodiment further includes: instructions or programs stored in memory 1805 and executable on processor 1804. Processor 1804 calls the instructions or programs in memory 1805 to execute the methods executed by the modules shown in FIG14 or FIG15 and achieve the same technical effect. To avoid repetition, it will not be described in detail here.

[0523] In this embodiment, the above-mentioned device is used as an example of the second device.

[0524] The radio frequency device 1802 is used to send first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

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

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

[0530] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0531] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0535] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

[0541] Optionally, the radio frequency device 1802 is also used for at least one of the following:

[0542] Obtain 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 sensing services, supported sensing types, sensing capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0546] Optionally, the radio frequency device 1802 is also used for:

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

[0548] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0549] The perception performance index is obtained through the measurement.

[0550] The above-mentioned equipment can improve measurement performance.

[0551] It is understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the above method embodiments and achieve the same or corresponding technical effects. To avoid repetition, it will not be described again 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 methods executed by the modules shown in Figure 14.

[0553] Specifically, this application embodiment also provides a network-side device, which is a second device. As shown in FIG19, 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 in this application embodiment further includes: instructions or programs stored in memory 1903 and executable on processor 1901. Processor 1901 calls the instructions or programs in memory 1903 to execute the methods executed by each module shown in FIG15 and achieve the same technical effect. To avoid repetition, it will not be described in detail here.

[0555] The network interface 1902 is used to send first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

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

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

[0561] Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension;

[0562] The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and angle dimension.

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

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

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

[0566] Optionally, the associated parameter information for 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, 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, measured quantity information, and reported configuration information.

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

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

[0572] Optionally, network interface 1902 is also used for at least one of the following:

[0573] Obtain 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 sensing services, supported sensing types, sensing capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

[0577] Optionally, network interface 1902 is also used for:

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

[0579] Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators.

[0580] The perception performance index is obtained through the measurement.

[0581] The above-mentioned equipment can improve measurement performance.

[0582] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described measurement method or measurement configuration method embodiments and achieve the same technical effect. To avoid repetition, they will not be described again here.

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

[0584] This application embodiment also provides a chip, which includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the various processes of the above-described measurement method or measurement configuration method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0585] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

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

[0587] This application also provides a wireless communication system, including a first device and a second device. The first device can be used to perform the steps of the measurement method provided in this application, and the second device can be used to perform the steps of the measurement configuration method provided in this application.

[0588] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0589] From the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of computer software products plus necessary general-purpose hardware platforms, and of course, they can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes several instructions to cause the terminal or network-side device to execute the methods described in the various embodiments of this application.

[0590] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other implementations under the guidance of this application without departing from the spirit and scope of the claims. All of these implementations are within the protection scope of this application.

Claims

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

2. The method as described in claim 1, wherein, The measurement rule information includes at least one of the following: The system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

4. The method according to any one of claims 1 to 3, wherein, The measurement rule information includes measurement rule information in at least one dimension, and the at least one dimension includes at least one of the following: Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension; The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and 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 related parameter information, and at least one threshold level information.

6. The method of claim 5, wherein, When the measurement threshold information includes multiple threshold level information, the first device acquires multiple measurement results corresponding to the multiple threshold level information.

7. The method of claim 5 or 6, wherein, The threshold calculation-related parameter information 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, 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, measured quantity information, and reported 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: Sensing demand information and the 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 of claim 9 or 10, wherein, The capability information includes at least one of the following: Supported sensing services, supported sensing types, sensing capability information, receiving and processing capability information, receiving antenna port information, beam information, and antenna information.

12. The method of any one of claims 1 to 11, further comprising: The first device sends feedback information, which includes at least one of the following: Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators. The perception performance index is obtained through the measurement.

13. A measurement configuration method, comprising: The second device sends first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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

16. The method of any one of claims 13 to 14, wherein, The measurement rule information includes measurement rule information in at least one dimension, and the at least one dimension includes at least one of the following: Time delay dimension, distance dimension, Doppler dimension, velocity dimension, angle dimension, and combination dimension; The combined dimensions include at least two of the following dimensions: time delay dimension, distance dimension, Doppler dimension, velocity dimension, and 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 related parameter information, and at least one threshold level information.

18. The method of claim 17, wherein, When the measurement threshold information includes multiple threshold level information, the first device acquires multiple measurement results corresponding to the multiple threshold level information.

19. The method of claim 17 or 18, wherein, The threshold calculation-related parameter information 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, 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, measured quantity information, and reported 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: Sensing demand information and the capability information of the first device.

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

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

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

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

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 related parameter information, and at least one threshold level information.

27. The apparatus as claimed in any one of claims 24 to 25, wherein, The first information is associated with at least one of the following: Sensing demand information and the capabilities of the primary equipment.

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

29. The apparatus as claimed in any one of claims 24 to 28, wherein, The device further includes: The second sending module is used to send feedback information, the feedback information including at least one of the following: Perception measurement results, perception performance indicators, explanatory information associated with perception measurement results, explanatory information associated with perception performance indicators, perception service or perception service type corresponding to perception measurement results, and perception service or perception service type corresponding to perception performance indicators. The perception performance index is obtained through the measurement.

30. A measuring configuration device, comprising: The first sending module is used to send first information to the first device, the first information including 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 system includes information on the strongest detection path, information on paths exceeding the threshold, the number of detected paths, detection window information, measurement result granularity information, measurement result clustering information, and measurement result dimensionality reduction information.

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 related parameter information, and at least one threshold level information.

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

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

35. A communication device comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions, when executed by the processor, implementing the steps of the measurement method as claimed in any one of claims 1 to 12, and the program or instructions, when executed by the processor, implementing the steps of the measurement configuration method as claimed in any one of claims 13 to 23.

36. A readable storage medium storing a program or instructions that, when executed by a processor, implement the steps of the measurement method as claimed in any one of claims 1 to 12, or the steps of the measurement configuration method as claimed in any one of claims 13 to 23.

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

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