Signal measurement report processing method and device, terminal and network side equipment

Abstract

The invention discloses a signal measurement reporting processing method and device, a terminal and network side equipment, and belongs to the technical field of communication, and the signal measurement reporting processing method comprises the steps that first equipment compresses a first measurement quantity of a target signal based on a target sensing matrix to obtain a second measurement quantity, the target sensing matrix is a sensing matrix determined based on a target index of the target signal; the first device sends the second measurement quantity and first indication information to a second device, wherein the first indication information is used for indicating the target sensing matrix; wherein the target index comprises a first index, the first index is used for indicating the sparse characteristic of the power distribution of the target signal in a first domain, and the first domain comprises at least one of a time delay domain, a Doppler domain and an angle domain.

Description

Technical Field

[0001] The present application belongs to the field of communication technology, and specifically relates to a signal measurement reporting processing method, device, terminal and network side equipment. Background Art

[0002] In the interawareness integrated system, the amount of data reported in many measurement quantities including radar point clouds is large. The measurement quantity can be compressed and reported according to the sparse characteristics of the channel, thereby reducing the amount of data reported. However, the channel state changes over time, which means that the sparse characteristics of the channel will change over time. However, using fixed compressed sensing parameters for data compression cannot fully utilize the sparsity of the channel, resulting in poor performance of data compression of the perceived measurement quantity. Summary of the invention

[0003] The embodiments of the present application provide a signal measurement report processing method, apparatus, terminal and network-side equipment, which can solve the problem of poor performance of data compression of perception measurement quantity.

[0004] In a first aspect, a signal measurement reporting processing method is provided, comprising:

[0005] The first device compresses a first measurement amount of a target signal based on a target sensing matrix to obtain a second measurement amount, wherein the target sensing matrix is ​​a sensing matrix determined based on a target indicator of the target signal;

[0006] The first device sends the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensing matrix;

[0007] The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0008] In a second aspect, a signal measurement reporting processing method is provided, including:

[0009] The second device receives a second measurement amount and first indication information from the first device, where the first indication information is used to indicate a target sensing matrix;

[0010] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target index of the target signal, and the target index includes a first index, and the first index is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of the delay domain, the Doppler domain and the angle domain.

[0011] In a third aspect, a signal measurement reporting processing device is provided, including:

[0012] A compression module, configured to compress a first measurement amount of a target signal based on a target sensor matrix to obtain a second measurement amount, wherein the target sensor matrix is ​​a sensor matrix determined based on a target indicator of the target signal;

[0013] A first sending module, configured to send the second measurement amount and first indication information to a second device, where the first indication information is used to indicate the target sensor matrix;

[0014] The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0015] In a fourth aspect, a signal measurement reporting processing device is provided, including:

[0016] A receiving module, configured to receive a second measurement value and first indication information from a first device, wherein the first indication information is used to indicate a target sensor matrix;

[0017] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target index of the target signal, and the target index includes a first index, and the first index is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of the delay domain, the Doppler domain and the angle domain.

[0018] In a fifth aspect, a terminal is provided, which includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented, or the method described in the second aspect is implemented.

[0019] In a sixth aspect, a terminal is provided, including a processor and a communication interface, wherein:

[0020] When the terminal is a first device, the processor is used to compress a first measurement amount of a target signal based on a target sensing matrix to obtain a second measurement amount, wherein the target sensing matrix is ​​a sensing matrix determined based on a target indicator of the target signal;

[0021] The communication interface is used to send the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensor matrix;

[0022] The target indicator includes a first indicator, and the first indicator is used to indicate a sparse characteristic of a power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain, and an angle domain;

[0023] When the terminal is a second device, the communication interface is used to receive a second measurement amount and first indication information from a first device, where the first indication information is used to indicate a target sensor matrix;

[0024] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal, and the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0025] In the seventh aspect, a network side device is provided, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the first aspect are implemented, or the method described in the second aspect is implemented.

[0026] In an eighth aspect, a network side device is provided, including a processor and a communication interface, wherein:

[0027] When the network side device is the first device, the processor is used to compress the first measurement amount of the target signal based on the target sensing matrix to obtain the second measurement amount, and the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal;

[0028] The communication interface is used to send the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensor matrix;

[0029] The target indicator includes a first indicator, and the first indicator is used to indicate a sparse characteristic of a power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain, and an angle domain;

[0030] When the network side device is a second device, the communication interface is used to receive a second measurement amount and first indication information from a first device, where the first indication information is used to indicate a target sensor matrix;

[0031] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal, and the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0032] In a ninth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method described in the second aspect are implemented.

[0033] In the tenth aspect, a wireless communication system is provided, comprising: a first device and a second device, wherein the first device can be used to execute the steps of the method described in the first aspect, and the second device can be used to execute the steps of the method described in the second aspect.

[0034] In the eleventh aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect, or to implement the method described in the second aspect.

[0035] In the twelfth aspect, a computer program / program product is provided, wherein the computer program / program product is stored in a storage medium, and the program / program product is executed by at least one processor to implement the method as described in the first aspect, or to implement the method as described in the second aspect.

[0036] In the embodiment of the present application, a first device compresses a first measurement amount of a target signal based on a target sensor matrix to obtain a second measurement amount, wherein the target sensor matrix is ​​a sensor matrix determined based on a target indicator of the target signal; the first device sends the second measurement amount and a first indication information to the second device, wherein the first indication information is used to indicate the target sensor matrix; wherein the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of a delay domain, a Doppler domain, and an angle domain. In this way, the sparse characteristic link can be fully utilized to adaptively adjust the parameters of compressed sensing, thereby reducing the amount of data reported by the measurement amount. At the same time, it can be ensured that the measurement amount can completely reconstruct the measurement amount before compression and maintain the perception performance after compression (that is, the first measurement amount can be completely reconstructed based on the second measurement amount). Therefore, the embodiment of the present application improves the performance of data compression of the perception measurement amount. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a schematic diagram of a network structure to which this application can be applied;

[0038] Figure 2 It is a flowchart of a signal measurement reporting processing method provided by the present application;

[0039] Figure 3 It is a flowchart of another signal measurement reporting processing method provided by the present application;

[0040] Figure 4 It is a flowchart of another signal measurement reporting processing method provided by the present application;

[0041] Figure 5 It is a structural schematic diagram of a signal measurement reporting processing device provided by the present application;

[0042] Figure 6 It is a structural schematic diagram of another signal measurement reporting processing device provided by the present application;

[0043] Figure 7 It is a structural schematic diagram of a communication device provided by the present application;

[0044] Figure 8 It is a structural schematic diagram of a terminal provided by this application;

[0045] Fig. 9 It is a structural diagram of a network side device provided by this application. DETAILED DESCRIPTION

[0046] The terms "first", "second", etc. of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of one type, and the number of objects is not limited, for example, the first object can be one or more. In addition, "or" in the present application represents at least one of the connected objects. For example, "A or B" covers three schemes, namely, Scheme 1: including A but not including B; Scheme 2: including B but not including A; Scheme 3: including both A and B. The character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0047] The term "indication" in this application can be a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, operations to be performed, or request results in the sent indication; an indirect indication can be understood as the receiver determining the corresponding information according to the indication sent by the sender, or making a judgment and determining the operation to be performed or the request result according to the judgment result.

[0048] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used for the systems and radio technologies mentioned above as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and NR terminology is used in most of the following descriptions, but these technologies can also be applied to systems other than NR systems, such as the 6th generation (6 th Generation, 6G) communication system.

[0049] Figure 1A block diagram of a wireless communication system applicable to an embodiment of the present application is shown. The wireless communication system includes a terminal 11 and a network side device 12. Among them, the terminal 11 can be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a handheld computer, a netbook, an ultra-mobile personal computer (Ultra-mobile Personal Computer, UMPC), a mobile Internet device (Mobile Internet Device, MID), an augmented reality (Augmented Reality, AR), a virtual reality (Virtual Reality, VR) device, a robot, a wearable device (Wearable Device), an aircraft (flight vehicle), a vehicle-mounted device (Vehicle User Equipment, VUE), a ship-mounted device, a pedestrian terminal (Pedestrian User Equipment, PUE), a smart home (home appliances with wireless communication functions, such as refrigerators, televisions, washing machines or furniture, etc.), a game console, a personal computer (Personal Computer, PC), a teller machine or a self-service machine and other terminal side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be referred to as a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (Wireless Local Area Network, WLAN) access point (Access Point, AS) or a wireless fidelity (Wireless Fidelity, WiFi) node, etc.Among them, the base station may be referred to as a Node B (NB), an evolved Node B (eNB), a next generation Node B (gNB), a New Radio Node B (NR Node B), an access point, a Relay Base Station (RBS), a Serving Base Station (SBS), a Base Transceiver Station (BTS), a radio base station, a radio transceiver, a Basic Service Set (BSS), an Extended Service Set (ESS), a Home Node B (HNB), a Home Evolved Node B, a Transmission Reception Point (TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to specific technical terms. It should be noted that in the embodiments of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0050] The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (Mobility Management Entity, MME), access mobility management function (Access and Mobility Management Function, AMF), session management function (Session Management Function, SMF), user plane function (User Plane Function, UPF), policy control function (Policy Control Function, PCF), policy and charging rules function unit (Policy and Charging Rules Function, PCRF), edge application service discovery function (Edge Application Server Discovery Function, EASDF), unified data management (Unified Data Management, UDM), unified data storage (Unified Data Repository, UDR), home user server (Home Subscriber Server, HSS), centralized network configuration (CNC), network storage function (Network Repository Function, NRF), network exposure function (Network Exposure Function, NEF), local NEF (Local NEF, or L-NEF), binding support function (Binding Support Function, BSF), application function (Application Function, AF), etc. It should be noted that in the embodiments of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

[0051] For ease of understanding, some contents involved in the embodiments of the present application are described below:

[0052] 1. Integrated Sensing And Communication (ISAC)

[0053] Communication and perception integration can also be called interawareness integration. In the future, Beyond Fifth Generation (B5G) and 6G wireless communication systems are expected to provide various high-precision sensing services, such as indoor positioning for robot navigation, Wi-Fi sensing for smart homes, and radar sensing for self-driving cars. Sensing and communication systems are usually designed separately and occupy different frequency bands. ISAC enables sensing and communication systems to share the same frequency band and hardware, improve frequency efficiency, and reduce hardware costs. ISAC will become a key technology for future wireless communication systems to support many important application scenarios. Typical applications of ISAC include: navigation and obstacle avoidance for autonomous vehicles, indoor positioning and activity recognition based on Wi-Fi, communication and sensing for unmanned aircraft, extended reality (XR), radar and communication integration, etc. Each application has different requirements, restrictions, and regulatory issues.

[0054] ISAC achieves low-cost integration of communication and perception functions by sharing hardware equipment and defining functions with software. Its main features are: unified and simplified architecture, reconfigurable and scalable functions, and improved efficiency and reduced costs. The advantages of integrated communication and perception are mainly in three aspects: reduced equipment cost and size, improved spectrum utilization, and improved system performance.

[0055] At present, typical communication perception integration scenarios that are expected to be achieved through technical upgrades based on the 5G communication system architecture are shown in Table 1 below.

[0056] Table 1:

[0057]

[0058] 2. Compressed sensing.

[0059] Compressed sensing is also known as compressed sampling or sparse sampling. As a new sampling theory, it exploits the sparse characteristics of the signal, obtains discrete samples of the signal by random sampling under the condition of less than the Nyquist sampling rate, and then reconstructs the signal through a nonlinear reconstruction algorithm. Therefore, compressed sampling can reduce the sampling rate of data, thereby reducing the amount of data and the requirements for high-speed sampling.

[0060] Suppose \(x\) represents a one-dimensional signal of length \(N\), which is the original signal. Its signal \(s\) in the transform domain is a \(K\)-sparse signal, that is, the number of sample points with significant values in \(s\) is no more than \(K\); \(\Psi\) is a sparse matrix that transforms the signal \(s\) into \(x\); \(\Phi\) is an observation matrix, corresponding to the process of subsampling. The high-dimensional signal \(x\) is projected into a low-dimensional space to obtain the subsampled signal \(y = \Phi\Psi s\). Usually, \(\Psi\) and \(\Phi\) are combined into a matrix, denoted as \(\Theta=\Phi\Psi\), which is called the sensing matrix.

[0061] The length of the subsampled signal \(y\) is \(M\), and \(M < N\). Under traditional Nyquist sampling, the output signal is \(x\); while under compressive sampling, the output signal is \(y\); due to \(M < N\), the sampling rate is reduced.

[0062] Combining compressive sensing with integrated communication and sensing, at least one of the following situations occurs for \(x\), \(y\), and \(s\):

[0063] \(x\) and \(y\) are frequency-domain signals, and \(s\) is a time-delay domain signal;

[0064] \(x\) and \(y\) are slow-time domain signals, and \(s\) is a Doppler domain signal;

[0065] \(x\) and \(y\) are signals of each antenna element or antenna port in the horizontal direction of the antenna array, and \(s\) is an azimuth angle domain signal;

[0066] \(x\) and \(y\) are signals of each antenna element or antenna port in the vertical direction of the antenna array, and \(s\) is an elevation angle domain signal.

[0067] In order to reconstruct the signal \(x\) or \(s\) before compression from the compressed signal \(y\), there are the following two conditions:

[0068] Sparsity: \(x\) or the transform-domain signal \(s\) of \(x\) is sparse, that is, the number of sample points with significant values is no more than \(K\);

[0069] Incoherence: The bases (columns of the matrix) of the observation matrix \(\Phi\) and the bases (columns of the matrix) of the sparse matrix \(\Psi\) are uncorrelated.

[0070] In a communication channel or a sensing channel of integrated communication and sensing, the sparsity condition is usually satisfied. Typical observation matrices and sparse matrices that satisfy incoherence are:

[0071] Observation matrix: Random Gaussian matrix, random Bernoulli matrix, partial orthogonal matrix, random sparse matrix, Toeplitz and circulant matrix, permutation matrix, Hadamard matrix;

[0072] Sparse matrix: Discrete Fourier transform matrix, discrete cosine transform matrix, wavelet transform matrix, etc.

[0073] Next, in conjunction with the accompanying drawings, through some embodiments and their application scenarios, the signal measurement reporting and processing method provided by the embodiments of the present application will be described in detail.

[0074] Reference Figure 2 , the present application embodiment provides a signal measurement reporting processing method, such as Figure 2 As shown, the signal measurement reporting processing method includes:

[0075] Step 201: A first device compresses a first measurement amount of a target signal based on a target sensing matrix to obtain a second measurement amount, wherein the target sensing matrix is ​​a sensing matrix determined based on a target indicator of the target signal;

[0076] Step 202: The first device sends the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensor matrix;

[0077] The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0078] In the embodiment of the present application, the target signal may be any of the following:

[0079] The communication signal may be a communication signal in 5G NR and its evolved versions, or a communication signal of Wi-Fi, such as a reference signal, a data signal, and a synchronization signal; wherein the reference signal may be a CSI-RS, a dedicated demodulation reference signal (DM-RS), a phase tracking reference signal (PTRS), a sounding reference signal (SRS), or a positioning reference signal (PRS). The synchronization signal may include a secondary synchronization signal (SSS) or a primary synchronization signal (PSS).

[0080] A perception signal may be a signal newly designed for a perception function in 5G NR and its evolved versions or Wi-Fi, for example, a perception reference signal;

[0081] Communication-awareness integrated signal: A communication-awareness integrated signal refers to a signal that can be used for both communication and perception. It can be a newly designed communication-awareness integrated signal in 5G NR and its evolved versions or Wi-Fi, or an upgraded version based on an existing signal.

[0082] It should be noted that the target signal sending device is not necessarily the second device. For example, in the application of the communication system, the target signal sending device is generally the second device, while in the application of synaesthesia integration, the target signal sending device may be the second device or may not be the second device.

[0083] Optionally, the specific device types of the first device and the second device may be set according to actual needs. For example, in some embodiments, the first device and the second device may include any of the following:

[0084] Case 1: the first device is a terminal, and the second device is an access network device or a core network device (such as a perception function network element);

[0085] Case 2: the first device is terminal 1, and the second device is terminal 2;

[0086] Case 3: the first device is an access network device, and the second device is a core network device;

[0087] Case 4: the first device is access network device 1, and the second device is access network device 2.

[0088] Optionally, some of the above situations (such as situation 1) are applicable to communication scenarios, and all of the situations are applicable to synaesthesia scenarios.

[0089] Optionally, the first device may first measure the target signal to obtain a first measurement amount, then determine a target indicator based on the first measurement amount, and finally determine a target sensing matrix for data compression (i.e., compressing the first measurement amount) based on the target indicator. Since the target sensing matrix for data compression is associated with the first indicator, the sparse characteristic link can be fully utilized to adaptively adjust the parameters of compressed sensing, thereby reducing the amount of data reported by the measurement amount. At the same time, it can be ensured that the measurement amount can completely reconstruct the signal and maintain the perception performance after compression.

[0090] Optionally, after the second device receives the second measurement amount and the first indication information, the second device decompresses the second measurement amount according to the target sensing matrix to obtain a first measurement amount of a target signal.

[0091] In the embodiment of the present application, a first device compresses a first measurement amount of a target signal based on a target sensor matrix to obtain a second measurement amount, wherein the target sensor matrix is ​​a sensor matrix determined based on a target indicator of the target signal; the first device sends the second measurement amount and a first indication information to the second device, wherein the first indication information is used to indicate the target sensor matrix; wherein the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of a delay domain, a Doppler domain, and an angle domain. In this way, the sparse characteristic link can be fully utilized to adaptively adjust the parameters of data compression, thereby reducing the amount of data reported by the measurement amount. At the same time, it can be ensured that the measurement amount can completely reconstruct the signal and maintain the perception performance after compression. Therefore, the embodiment of the present application improves the performance of data compression of the perception measurement amount.

[0092] Optionally, in some embodiments, the first indication information includes at least one of the following:

[0093] compressing the first measurement amount to obtain second indication information of the second measurement amount;

[0094] Target indicators;

[0095] a target information value, the target information value being associated with the target sensing matrix;

[0096] information indicating a compressed dimension of the first measurement;

[0097] An identification of the first sensor matrix in the set of candidate sensor matrices;

[0098] an identification of a first mapping function for determining a first sensing matrix;

[0099] Used to determine a first parameter of a first sensing matrix with a first mapping function;

[0100] An identifier for determining a first parameter of the first sensing matrix with a first mapping function;

[0101] The target observation matrix is ​​identified in the set of candidate observation matrices;

[0102] an identification of a second mapping function for determining a target measurement matrix;

[0103] Used to determine a second parameter of the target observation matrix with a second mapping function;

[0104] An identifier for determining a second parameter of a target measurement matrix with a second mapping function;

[0105] The identification of the target sparse matrix in the set of candidate sparse matrices;

[0106] an identification of a third mapping function for determining a target sparse matrix;

[0107] A third parameter for determining a target sparse matrix with a third mapping function;

[0108] An identifier for determining a third parameter of a target sparse matrix with a third mapping function;

[0109] At least one of the target observation matrix and the target sparse matrix is ​​used to determine a second sensing matrix, and the target sensing matrix includes one of the first sensing matrix and the second sensing matrix.

[0110] In the embodiment of the present application, the first mapping function, the second mapping function, the third mapping function, the first parameter, the second parameter or the third parameter in the above-mentioned first indication information are all determined information, for example, multiple first mapping functions, multiple second mapping functions, multiple third mapping functions, multiple first parameters, multiple second parameters and multiple third parameters can be configured in advance, and the first mapping function, the second mapping function, the third mapping function, the first parameter, the second parameter or the third parameter in the first indication information is a specific first mapping function, a specific second mapping function, a specific third mapping function, a specific first parameter, a specific second parameter or a specific third parameter among the pre-configured multiple first mapping functions, or multiple second mapping functions, or multiple third mapping functions, or multiple first parameters, or multiple second parameters or multiple third parameters. Among them, the specific first mapping function can be understood as the first mapping function used to determine the first sensing matrix among the configured multiple first mapping functions.

[0111] Optionally, the second indication information may be understood as second indication information for indicating whether to compress the first measurement amount to obtain the second measurement amount. In the embodiment of the present application, the value specifically indicated by the second indication information is used to indicate that the first device compresses the first measurement amount to obtain the second measurement amount. In this way, the second device may determine that a decompression operation needs to be performed on the received second measurement amount according to the value of the second indication information.

[0112] Optionally, in a case where the target configuration information includes relevant configuration information of the first sensor matrix, the first device may directly determine the target sensor matrix, and the first indication information may include at least one of the following:

[0113] An identification of the first sensor matrix in the set of candidate sensor matrices;

[0114] an identification of a first mapping function for determining a first sensing matrix;

[0115] Used to determine a first parameter of a first sensing matrix with a first mapping function;

[0116] An identifier for determining a first parameter of the first sensing matrix together with a first mapping function.

[0117] Optionally, when the first indication information includes a first parameter for determining a first sensor matrix together with a first mapping function and the target configuration information does not include a candidate first parameter for the first mapping function, the first device may determine the first parameter of the first mapping function for determining the first sensor matrix based on the target indicator, and the first parameter may be an arbitrary value.

[0118] Optionally, when the first indication information includes an identifier for determining the first parameter of the first sensor matrix together with the first mapping function, and the target configuration information includes candidate first parameters of the first mapping function, the first device can determine the identifier of the first parameter of the first mapping function for determining the first sensor matrix from the candidate first parameters according to the target indicator.

[0119] Optionally, when the target configuration information includes relevant configuration information of the observation matrix, the first device may determine the target observation matrix, and then determine the target sensing matrix based on the target observation matrix. In this case, the first indication information may include at least one of the following:

[0120] The target observation matrix is ​​identified in the set of candidate observation matrices;

[0121] an identification of a second mapping function for determining a target measurement matrix;

[0122] Used to determine a second parameter of the target observation matrix with a second mapping function;

[0123] An identifier of a second parameter of a target observation matrix used to determine with a second mapping function.

[0124] It should be understood that when the first indication information includes multiple pieces of information among the above information, it can be understood that the target sensing matrix is ​​determined by jointly using the multiple pieces of information.

[0125] Optionally, when the first indication information includes a second parameter for determining the target observation matrix with a second mapping function, and the target configuration information does not include a candidate second parameter for the second mapping function, the first device can determine the second parameter of the second mapping function for determining the target observation matrix based on the target indicator, and the second parameter can be an arbitrary value.

[0126] Optionally, when the first indication information includes an identifier of a second parameter of the target observation matrix used to determine the target observation matrix with a second mapping function, and the target configuration information includes candidate second parameters of the second mapping function, the first device can determine the identifier of the second parameter of the second mapping function used to determine the target observation matrix from the candidate second parameters based on the target indicator.

[0127] Optionally, in the case where the target configuration information includes relevant configuration information of a sparse matrix, the first device and the second device may determine the target sparse matrix, and then determine the target sensing matrix based on the target sparse matrix. In this case, the first indication information may include at least one of the following:

[0128] The identification of the target sparse matrix in the set of candidate sparse matrices;

[0129] an identification of a third mapping function for determining a target sparse matrix;

[0130] A third parameter for determining a target sparse matrix with a third mapping function;

[0131] An identifier of a third parameter used to determine a target sparse matrix with a third mapping function.

[0132] Optionally, when the first indication information includes a third parameter for determining a target sparse matrix together with a third mapping function, and the target configuration information does not include a candidate third parameter for the third mapping function, the first device can determine a third parameter for the third mapping function for determining the target sparse matrix based on the target indicator, and the third parameter can be any numerical value.

[0133] Optionally, when the first indication information includes an identifier of a third parameter for determining a target sparse matrix together with a third mapping function, and the target configuration information includes candidate third parameters for the third mapping function, the first device can determine the identifier of the third parameter of the third mapping function for determining the target sparse matrix from the candidate third parameters according to the target indicator.

[0134] Optionally, in some embodiments, before the first device compresses the first measurement amount of the target signal based on the target sensing matrix to obtain the second measurement amount, the method further includes:

[0135] The first device acquires a first preset threshold, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount;

[0136] The method for the first device to obtain the first preset threshold includes at least one of the following: the first device receives relevant configuration information of the first preset threshold from the second device, and the relevant configuration information of the first preset threshold is agreed upon by a protocol.

[0137] In the embodiment of the present application, the first preset threshold is used to cooperate with the first measurement amount to determine the first indicator, which can be understood as the first device jointly determining the first indicator based on the first preset threshold and the first measurement amount.

[0138] Optionally, after the target signal is transformed into the first domain to obtain the first measurement amount, a first preset threshold may be used to determine the first indicator. The first preset threshold may include at least one of the following:

[0139] Fixed thresholds: A set of fixed thresholds is configured by the network side device through signaling. The set of fixed thresholds may include one or more thresholds.

[0140] The adaptive threshold is an adaptive threshold calculated by a preset algorithm according to preset parameters configured by a network-side device. The value of the adaptive threshold is related to at least one of interference and noise levels in the received target signal.

[0141] Among them, the above-mentioned preset algorithm can be a constant false alarm detection algorithm, and in this case, the above-mentioned preset parameter can be a false alarm rate configured by the network side device.

[0142] Optionally, the first indicator may be the number of sample points exceeding the first preset threshold, or may be a value obtained by mapping the number of sample points exceeding the first preset threshold and reflecting the number of sample points exceeding the first preset threshold. For example, the value range of the sample points is divided into several intervals, each interval corresponding to an ID, and the first indicator may be the ID.

[0143] For example, after the target signal is transformed from the frequency domain to the delay domain by the Inverse Fast Fourier Transform (IFFT), there are 100 sample points in the delay domain. If 15 sample points exceed the threshold, the first indicator can be directly 15; or, 0 to 100 are divided into several intervals, and the interval number where the sample point exceeding the first preset threshold is located is used as the first indicator.

[0144] Optionally, in some embodiments, the first measurement quantity is a measurement quantity of a target dimension spectrum, and the target dimension spectrum includes at least one of the following:

[0145] A one-dimensional spectrum, wherein the dimension of the one-dimensional spectrum includes a first dimension, a second dimension, a third dimension or a fourth dimension;

[0146] A two-dimensional spectrum, wherein the dimension of the two-dimensional spectrum includes a joint dimension of any two of the first dimension, the second dimension, the third dimension, and the fourth dimension;

[0147] A three-dimensional spectrum, wherein the dimensions of the three-dimensional spectrum include the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0148] A four-dimensional spectrum, wherein the dimensions of the four-dimensional spectrum include the joint dimension of any four items of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0149] Among them, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0150] It can be understood that the frequency dimension signal can be transformed into the delay dimension signal through the inverse Fourier transform (IFFT) and other operations, and the delay dimension signal can be transformed into the frequency dimension signal through the Fourier transform (FFT) and other operations. Therefore, the frequency dimension and the delay dimension are a pair of transformation domains; the slow time dimension (or simply referred to as the time dimension) signal can be transformed into the Doppler dimension signal through the FFT and other operations, and the Doppler dimension signal can be transformed into the slow time dimension signal through the IFFT and other operations. Therefore, the slow time dimension and the Doppler dimension are a pair of transformation domains; the received signal of each array element along the horizontal direction of the antenna array is transformed through the FFT. Operations such as FT can transform the signal in the azimuth dimension, and the signal in the azimuth dimension can be transformed back to the received signal of each array element along the horizontal direction of the antenna array through operations such as IFFT. Therefore, the horizontal direction dimension and the azimuth dimension of the antenna array are a pair of transformation domains; the received signal of each array element along the vertical direction of the antenna array can be transformed into the signal in the elevation dimension through operations such as FFT, and the signal in the elevation dimension can be transformed back to the received signal of each array element along the vertical direction of the antenna array through operations such as IFFT. Therefore, the vertical direction dimension and the elevation dimension of the antenna array are a pair of transformation domains.

[0151] Optionally, in some embodiments, the target indicator further includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

[0152] Optionally, in some embodiments, the second indicator includes at least one of the following: reference signal received power (Reference Signal Received Power, RSRP), reference signal received quality (Reference Signal Received Quality, RSRQ), received signal strength indication (Received Signal Strength Indication, RSSI), signal-to-noise ratio (Signal Noise Ratio, SNR), signal-to-noise and interference ratio (signal-to-noise and interference ratio, SINR), perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR, perceived signal power indication and perceived signal quality indication.

[0153] In the embodiment of the present application, the above SNR refers to the signal-to-noise power ratio of the signal in the time-frequency domain, and the above perceived SNR refers to the signal-to-noise power ratio of the target sub-signal in the target signal after it is transformed into at least one of the delay domain, the Doppler domain, and the angle domain. Similarly, the above perceived SINR refers to the signal-to-interference-noise power ratio of the target sub-signal after it is transformed into at least one of the delay domain, the Doppler domain, and the angle domain. The target sub-signal corresponds to a signal component of a specific path, cluster, perceived object, or scatterer in the environment.

[0154] Optionally, the above-mentioned perceived signal power indication refers to the ratio of the power of the target sub-signal to the total signal power in at least one of the delay domain, the Doppler domain and the angle domain.

[0155] Optionally, the above-mentioned perceived signal quality indication is a value calculated according to a preset algorithm by at least one of the reference signal received power RSRP, RSRQ, RSSI, SNR, SINR, perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR and perceived signal power indication, which can reflect the quality of the perceived signal and is similar to the channel quality indicator (CQI). Unlike the CQI, the calculation of the perceived signal quality indication introduces signal quality indicators in the delay domain, Doppler domain and angle domain.

[0156] Optionally, in some embodiments, before the first device compresses the first measurement amount of the target signal based on the target sensing matrix to obtain the second measurement amount, the method further includes:

[0157] The first device acquires target configuration information, where the target configuration information is used to indicate a method for acquiring a sensor matrix for compressing the first measurement amount;

[0158] The method for acquiring the target configuration information includes at least one of the following: at least part of the information in the target configuration information is agreed upon by protocol, and at least part of the information in the target configuration information is received from the second device.

[0159] It should be understood that the target configuration information is used to indicate a method for obtaining a sensor matrix for compressing the first measurement quantity, which can be understood as the first device determining how to obtain the sensor matrix according to the information contained in the target configuration information. For example, when the target configuration information includes the following first information, the first device directly obtains the sensor matrix according to the target configuration information; when the target configuration information includes at least one of the second information and the third information, the first device indirectly obtains the sensor matrix by obtaining at least one of the observation matrix and the sparse matrix according to the target configuration information.

[0160] It should be noted that, in the embodiment of the present application, the information configured by the target configuration information can be understood as candidate information, that is, the configured matrix can be understood as a candidate matrix, the configured parameters can be understood as candidate parameters, and the configured function can be understood as a candidate function. For example, the first mapping function configured by the target configuration information can be understood as a candidate first mapping function, and the first device can determine the target first mapping function from multiple candidate first mapping functions based on the target indicator, and then determine the first sensor matrix based on the target first mapping function. For example, the first parameter of the first mapping function configured by the target configuration information can be understood as a candidate first parameter, and the first device can determine the target first parameter from multiple candidate first parameters based on the target indicator, and then determine the first sensor matrix based on the target first parameter. For example, the candidate sensor matrix set configured by the target configuration information includes at least one candidate sensor matrix, and the first device can determine the first sensor matrix from the candidate sensor matrix set based on the target indicator, and the first sensor matrix can be the target sensor matrix.

[0161] Optionally, in some embodiments, the target configuration information includes at least one of the following:

[0162] First information, where the first information is used to indicate a method for acquiring a first sensing matrix;

[0163] second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix;

[0164] The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

[0165] In the embodiment of the present application, the first information indicating the method for obtaining the first sensor matrix can be understood as the first device determining how to obtain the first sensor matrix according to the information contained in the first information; the second information indicating the method for obtaining the observation matrix can be understood as the first device determining how to obtain the target observation matrix according to the content of the second information. The third information indicating the method for obtaining the sparse matrix can be understood as the first device determining how to obtain the target sparse matrix according to the content of the second information.

[0166] Optionally, in some embodiments, the first information includes at least one of the following:

[0167] A set of candidate sensing matrices;

[0168] at least one first mapping function;

[0169] a candidate first parameter set, the candidate first parameter set comprising at least one set of first parameters of at least one first mapping function;

[0170] First logo;

[0171] A rule for determining a first parameter of at least one first mapping function according to the first identifier;

[0172] The first identifier is used to determine a first parameter of at least one first mapping function, and the first mapping function is used to determine the first sensing matrix.

[0173] In the embodiment of the present application, the sensor matrix determined based on the first information can be understood as a candidate sensor matrix, and the first sensor matrix indicated by the first indication information is included in the candidate sensor matrix.

[0174] In some embodiments, the sensor matrix can be indicated by a candidate sensor matrix set, that is, the second device configures a candidate sensor matrix set including several sensor matrices to the first device through signaling, each sensor matrix corresponds to an ID, and the corresponding sensor matrix can be uniquely indicated by the ID.

[0175] In some embodiments, the sensing matrix may also be indicated by a first mapping function (also referred to as a candidate first mapping function) and a corresponding first parameter. That is, the second device configures at least one first mapping function for determining the sensing matrix to the first device through signaling. For any one of the at least one first mapping function, a set of first parameters may be given to determine the corresponding first mapping function.

[0176] Optionally, any one of the at least one first mapping function corresponds to an ID, and the ID can uniquely indicate the corresponding first mapping function.

[0177] Optionally, for any one of the at least one first mapping function, the second device further configures a candidate first parameter set to the first device through signaling. The candidate first parameter set includes several groups of the first parameters, each group of first parameters corresponds to an ID; for any first mapping function, given the ID of the corresponding first parameter, the corresponding sensing matrix can be determined. Therefore, given the first mapping function, the corresponding sensing matrix can be uniquely determined by the ID of the first parameter.

[0178] Optionally, for any first mapping function of the at least one first mapping function, the second device configures the first device with a method for determining a first parameter corresponding to the first mapping function through signaling, that is, the first parameter can be determined according to the first identifier.

[0179] Optionally, the first identifier may include at least one of the following: a device identifier; a sensing area identifier; an identifier of whether to be used for sensing; a sensing service identifier; a sensing service type identifier; a sensing target identifier; a tag identifier associated with the sensing target; or a sensing measurement quantity identifier.

[0180] Optionally, the device identifier of the second device may be a cell identifier, and the device identifier of the first device may be a terminal identifier, such as a Radio Network Temporary Identifier (RNTI).

[0181] Optionally, in some embodiments, the second information includes at least one of the following:

[0182] A set of candidate observation matrices;

[0183] at least one second mapping function;

[0184] a candidate second parameter set, the candidate second parameter set comprising at least one set of second parameters of at least one second mapping function;

[0185] Second identification;

[0186] A rule for determining a second parameter of at least one second mapping function according to the second identifier;

[0187] The second identifier is used to determine a second parameter of at least one second mapping function, and the second mapping function is used to determine the observation matrix.

[0188] In the embodiment of the present application, the observation matrix determined based on the second information can be understood as a candidate observation matrix, and the target observation matrix indicated by the above-mentioned first indication information is included in the candidate observation matrix.

[0189] In some embodiments, the observation matrix can be indicated by a candidate observation matrix set, that is, the second device configures a candidate observation matrix set including several observation matrices to the first device through signaling, each observation matrix corresponds to an ID, and the corresponding observation matrix can be uniquely indicated by the ID.

[0190] Optionally, in some embodiments, the candidate measurement matrix types in the candidate measurement matrix set include at least one of the following: random Bernoulli matrix, random Gaussian matrix, partially orthogonal matrix, random sparse matrix, Toplitz and circulant matrix, circulant matrix and Hadamard matrix.

[0191] In some embodiments, the observation matrix may be indicated by a second mapping function (also referred to as a candidate second mapping function) and a corresponding second parameter. That is, the second device configures at least one second mapping function for determining the observation matrix to the first device through signaling. For any second mapping function of the at least one second mapping function, a set of second parameters may be given to determine the corresponding observation matrix.

[0192] Optionally, any one of the at least one second mapping function corresponds to an ID, and the ID can uniquely indicate the corresponding second mapping function.

[0193] Optionally, for any one of the at least one second mapping functions, the second device also configures a candidate second parameter set to the first device through signaling. The candidate second parameter set includes several groups of second parameters, each group of second parameters corresponds to an ID; for any second mapping function, given the ID of the corresponding second parameter, the corresponding observation matrix can be determined. Therefore, given the second mapping function, the corresponding observation matrix can be uniquely determined by the second parameter ID.

[0194] Optionally, for any one of the at least one second mapping function, the second device configures the first device through signaling a method for determining a second parameter corresponding to the second mapping function, that is, the second parameter can be determined according to the configured rule and the second identifier.

[0195] Optionally, the second identifier may include at least one of the following: a device identifier; a sensing area identifier; an identifier of whether to be used for sensing; a sensing service identifier; a sensing service type identifier; a sensing target identifier; a tag identifier associated with the sensing target; or a sensing measurement quantity identifier.

[0196] Optionally, the parameter type in the second parameter includes at least one of the following: a random number seed, a probability of a specific result in a random experiment, a size of an observation matrix, a mean of random numbers, and a variance of random numbers.

[0197] In the embodiments of the present application, the probability of a specific result in a random experiment can be understood as the probability of "1" appearing in the random experiment.

[0198] Optionally, the function type of the at least one second mapping function includes at least one of the following: a generating function of a random Bernoulli matrix, a generating function of a random Gaussian matrix, a generating function of a partially orthogonal matrix, a generating function of a random sparse matrix, a generating function of a Toplitz and circulant matrix, a generating function of a cyclic matrix and a Hadamard matrix.

[0199] Optionally, in some embodiments, the third information includes at least one of the following:

[0200] A set of candidate sparse matrices;

[0201] at least one third mapping function;

[0202] a candidate third parameter set, the candidate third parameter set comprising at least one set of third parameters of at least one third mapping function;

[0203] The third logo;

[0204] A rule for determining a third parameter of at least one third mapping function according to the third identifier;

[0205] The third identifier is used to determine a third parameter of at least one third mapping function, and the third mapping function is used to determine the sparse matrix.

[0206] In the embodiment of the present application, the sparse matrix determined based on the third information can be understood as a candidate sparse matrix, and the target sparse matrix indicated by the above-mentioned first indication information is included in the candidate sparse matrix.

[0207] In some embodiments, the sparse matrix may be indicated by a candidate sparse matrix set, that is, the second device configures a candidate sparse matrix set including several sparse matrices to the first device through signaling, each sparse matrix corresponds to an ID, and the ID can uniquely indicate the corresponding sparse matrix.

[0208] Optionally, the types of candidate sparse matrices in the candidate sparse matrix set include at least one of the following: discrete Fourier transform (DFT) matrix, inverse discrete Fourier transform IDFT (IDFT) matrix, discrete cosine transform (DCT) matrix, discrete wavelet transform (DWT) matrix.

[0209] In some embodiments, a sparse matrix may be indicated by a candidate sparse matrix set. That is, the second device configures at least one third mapping function for determining the sparse matrix to the first device through signaling. For any third mapping function of the at least one third mapping function, a corresponding sparse matrix may be determined by giving a set of third parameters.

[0210] Optionally, any one of the at least one third mapping function corresponds to an ID, and the ID can uniquely indicate the corresponding third mapping function.

[0211] Optionally, for any one of the at least one third mapping functions, the second device further configures a candidate third parameter set to the first device through signaling. The candidate third parameter set includes several groups of third parameters, each group of third parameters corresponds to an ID; for any third mapping function, given a group of third parameter IDs, the corresponding sparse matrix can be determined. Therefore, given the third mapping function, the corresponding sparse matrix can be uniquely determined by the ID of the third parameter.

[0212] Optionally, for any one of the at least one third mapping functions, the second device configures a method for determining a third parameter corresponding to the third mapping function to the first device through signaling, that is, the third parameter can be determined according to the configured rules and the third identifier.

[0213] Optionally, the third identifier may include at least one of the following: a device identifier; a sensing area identifier; an identifier of whether to be used for sensing; a sensing service identifier; a sensing service type identifier; a sensing target identifier; a tag identifier associated with the sensing target; or a sensing measurement quantity identifier.

[0214] Optionally, in some embodiments, the parameter type in the third parameter includes at least one of the following: the number of points of DFT, the number of points of IDFT, the number of points of DCT and the wavelet basis of DWT.

[0215] Optionally, in some embodiments, the function type of the at least one third mapping function includes at least one of the following: DFT, IDFT, DCT and DWT.

[0216] Optionally, the target configuration information further includes at least one of the following:

[0217] a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount;

[0218] an indication of whether to allow the first device to compress the first measurement amount before reporting;

[0219] Indicative information of a compression dimension allowing compression of the first measurement quantity;

[0220] A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

[0221] Optionally, the second device may configure the compression limit indication according to perceived performance requirements.

[0222] Optionally, the number of sample points of the first measurement quantity before compression is N, and the number of sample points of the second measurement quantity after compression is M (M is the number of rows of the above-mentioned sensing matrix, and M < N). The compression limit indication is used to limit the value range of M. For example, in some high-precision sensing application scenarios, it is required that M > M1, and in some low-precision sensing application scenarios, it is required that M > M2, where M1 > M2; if the value of M determined according to the target index is M0, and if M2 < M0 < M1; then for the above high-precision sensing scenario, M = M1 to meet the high-precision requirements while compressing data, and for the above low-precision sensing application scenario, M = M2 to save the data transmission overhead.

[0223] Optionally, in some embodiments, the compression limit indication includes at least one of the following:

[0224] The first compression limit indication in the time delay dimension or frequency dimension;

[0225] The second compression limit indication in the Doppler dimension or slow time dimension;

[0226] The third compression limit indication in the azimuth direction or the horizontal direction of the antenna array;

[0227] The fourth compression limit indication in the elevation direction or the vertical direction of the antenna array;

[0228] The fifth compression limit indication in the first target dimension;

[0229] The sixth compression limit indication in the second target dimension;

[0230] The seventh compression limit indication jointly in the first dimension, second dimension, third dimension, and fourth dimension;

[0231] Wherein, the first target dimension includes a combined dimension of any two of the first dimension, second dimension, third dimension, and fourth dimension, the second target dimension includes a combined dimension of any three of the first dimension, second dimension, third dimension, and fourth dimension, the first dimension includes the time delay dimension or frequency dimension, the second dimension includes the Doppler dimension or slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the elevation direction or the vertical direction of the antenna array.

[0232] Optionally, in some embodiments, the compression limit indication satisfies any one of the following:

[0233] The compression limit indication is used to indicate the range of the number of sample points of the second measurement quantity after the first measurement quantity is compressed in the corresponding dimension;

[0234] The compression limit indication is used to indicate a range of a ratio of the number of sample points of the second measurement quantity in a corresponding dimension after the first measurement quantity is compressed to the number of sample points before compression.

[0235] In the embodiment of the present application, the compression limit indication is used to indicate that the ratio of the number of sample points of the second measurement amount in the corresponding dimension after the first measurement amount is compressed to the number of sample points before compression can be understood as M / N. In some embodiments, there are more scattering points in the delay dimension, and the M value of the delay dimension is larger; there are fewer targets in the Doppler dimension, and the M value of the Doppler dimension is smaller.

[0236] It should be noted that in the embodiments of the present application, the number of sample points of the data (including the number of sample points of the first measurement quantity and the number of sample points of the second measurement quantity) refers to the number of sample points on the dimension associated with the target sensor matrix. For example, if the first measurement quantity is two-dimensional data of the first dimension-the second dimension, and the target sensor matrix is ​​associated with only one dimension of the second dimension, that is, the data is compressed only on the second dimension, then the number of sample points of the data described in the present application is the number of sample points of the data on the second dimension.

[0237] Optionally, in some embodiments, the sensing matrix is ​​associated with a third target dimension, the third target dimension includes any one of the first dimension, the second dimension, the third dimension and the fourth dimension or a joint dimension of at least two dimensions, the first dimension includes a delay dimension or a frequency dimension, the second dimension includes a Doppler dimension or a slow time dimension, the third dimension includes an azimuth direction or a horizontal direction of an antenna array, and the fourth dimension includes an elevation direction or a vertical direction of an antenna array. The third target dimension is indicated by indication information of a compression dimension that allows compression of the first measurement quantity in the target configuration information.

[0238] Optionally, for the OFDM signal waveform, the delay dimension and the frequency dimension are a pair of transform domains: performing IFFT on the frequency dimension data can obtain the delay dimension data, and performing FFT on the delay dimension data can obtain the frequency dimension data; therefore, the delay dimension and the frequency dimension can be regarded as one dimension.

[0239] Optionally, the Doppler dimension and the slow time dimension are also a pair of transform domains: performing FFT on the slow time dimension data can obtain Doppler dimension data, and performing FFT on the Doppler dimension data can obtain slow time dimension data; therefore, the Doppler dimension and the slow time dimension can be regarded as one dimension.

[0240] Optionally, the azimuth dimension and the horizontal direction of the antenna array are also a pair of transformation domains: performing FFT on the data of each antenna unit along the horizontal direction of the antenna array can obtain the azimuth angle spectrum, and performing IFFT on the azimuth angle spectrum can restore the data of each antenna unit along the horizontal direction of the antenna array; therefore, the azimuth direction and the horizontal direction of the antenna array can be regarded as one dimension.

[0241] Optionally, the elevation dimension and the vertical direction of the antenna array are also a pair of transformation domains: performing FFT on the data of each antenna unit of the antenna array along the vertical direction can obtain the elevation angle spectrum, and performing IFFT on the elevation angle spectrum can restore the data of each antenna unit of the antenna array along the vertical direction; therefore, the elevation direction and the vertical direction of the antenna array can be regarded as one dimension.

[0242] In some embodiments, if the sensing matrix is ​​associated with the Doppler dimension / slow time dimension, that is, the third target dimension includes the Doppler dimension / slow time dimension, then the sensing matrix is ​​used to perform data compression on the first measurement quantity in the Doppler dimension / slow time dimension; if the sensing matrix is ​​associated with the delay dimension / frequency dimension-Doppler dimension / slow time dimension, that is, the third target dimension includes the joint dimension of the delay dimension / frequency dimension-Doppler dimension / slow time dimension, then the sensing matrix is ​​used to perform data compression on the first measurement quantity in the delay dimension / frequency dimension-Doppler dimension / slow time dimension.

[0243] Optionally, in some embodiments, before the first device compresses the first measurement amount based on the target sensing matrix to obtain the second measurement amount, the method further includes at least one of the following:

[0244] The first device determines a target information value according to the target indicator, wherein the target information value is associated with the target sensing matrix;

[0245] The first device determines the target sensing matrix based on the target information value.

[0246] In the embodiment of the present application, after the target configuration information determines the method for acquiring the sensor matrix, the target information value can uniquely determine the target sensor matrix, and the target information value can be used by the first device to indicate the target sensor matrix to the second device.

[0247] Optionally, in some embodiments, the target information value is used to represent the number of sample points in a third target dimension after the first measurement quantity is compressed, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array, and the target information value is associated with the target sensing matrix.

[0248] In order to better understand the present application, the signal measurement reporting processing method of the present application is described in detail below through some examples.

[0249] In some embodiments, Figure 3As shown, the signal measurement reporting processing method may include the following process:

[0250] Step 301: The second device sends a first signaling to the first device, where the first signaling carries target configuration information;

[0251] Step 302: The first device obtains a first measurement quantity of a target signal, and determines a target indicator according to the first measurement quantity;

[0252] Step 303: the first device determines a target sensing matrix according to the target indicator, and compresses the first measurement amount based on the target sensing matrix to obtain a second measurement amount;

[0253] Step 304: The first device sends a second signaling to the second device, where the second signaling carries a second measurement value and first indication information, where the first indication information is used to indicate a target sensor matrix.

[0254] In some embodiments, a target sensing matrix may be determined from a set of candidate sensing matrices.

[0255] In this embodiment, the target configuration information includes: first information, the first information is used to indicate the method for obtaining the first sensor matrix. In this case, the target configuration information does not need to include: second information and third information, the second information is used to indicate the method for obtaining the observation matrix, the observation matrix is ​​used to determine the second sensor matrix; the third information is used to indicate the method for obtaining the sparse matrix, the sparse matrix is ​​used to determine the second sensor matrix.

[0256] Since the irrelevance between the elements (rows or columns) of the measurement matrix and the elements (rows or columns) of the sparse matrix must be considered in the design of the sensor matrix, in a specific implementation, if the sensor matrix is ​​directly indicated by the target configuration information (rather than indirectly indicating the sensor matrix by indicating the measurement matrix and the sparse matrix), then the method of the candidate sensor matrix set is a more convenient method. Therefore, the candidate sensor matrix set in the target configuration information includes several pre-designed sensor matrices.

[0257] Assuming that the size of the first measurement quantity before compression (the number of sample points in any one, two, three, or four dimensions of the first dimension, the second dimension, the third dimension, and the fourth dimension) is N, and the size of the second measurement quantity after compression is M, then the size of the sensor matrix in the candidate sensor matrix set is M×N.

[0258] Optionally, the candidate sensing matrix set can be in the following form:

[0259] The candidate sensing matrix set includes at least one subset (for example, respectively recorded as: a first candidate sensing matrix subset, a second candidate sensing matrix subset, etc.);

[0260] The N values ​​of the candidate sensor matrices in each subset are the same, and the N values ​​of different subsets are different;

[0261] Each candidate sensing matrix in each subset corresponds to at least one M value;

[0262] The candidate sensing matrix corresponding to an M value in each subset may be one or more;

[0263] Each candidate sensor matrix in the entire candidate sensor matrix set corresponds to a unique ID.

[0264] For example, the first candidate sensor matrix subset includes 3 candidate sensor matrices, the N value of all candidate sensor matrices is N1, and the M values ​​of each candidate sensor matrix are M1, M2 and M3 respectively; the second candidate sensor matrix subset includes 4 candidate sensor matrices, the N value of all candidate sensor matrices is N2, and the M values ​​of each candidate sensor matrix are M4, M5, M6 and M7 respectively; the third candidate sensor matrix subset includes 6 candidate sensor matrices, the N value of all candidate sensor matrices is N3, and the M values ​​of each candidate sensor matrix are M8, M9, M10, M11, M12, M13, M14, M15, M16, M17, M18, M19, M20, M21, M22, M23, M24, M25, M26, M27, M28, M29, M30, M31, M32, M33, M34, M35, M36, M37, M38, M39, M40, M41, M42, M43, M44, M45, M46, M47, M48, M49, M50, M51, M52, M53, M54, M55 10 、M 11 、M 12 and M 13 .

[0265] In actual work, after the first device obtains the first measurement amount, the target indicator is determined according to the first measurement amount, and the N value can be determined according to the first measurement amount. The first device determines the M value according to the compression limit indication, the target indicator and the N value in the target configuration information. Finally, a candidate sensor matrix is ​​selected from the candidate sensor matrix set as the target sensor matrix according to the N value and the M value. The first device compresses the first measurement amount using the target sensor matrix to obtain the second measurement amount.

[0266] In the above working process, in addition to the candidate sensor matrix set, the target configuration information may also include at least one of the following: a first preset threshold; an indication of whether the first device is allowed to compress the first measurement quantity and then report it; indication information of the compression dimension of allowing compression of the first measurement quantity; and an indication of compression limit for the first device to perform compression on the first measurement quantity.

[0267] The first device performs data compression according to the dimension indicated in the target configuration information that allows data compression and the target sensing matrix determined by the M value determined by the target indicator. For example, if the target configuration information indicates that data compression is allowed in the slow time dimension or the Doppler dimension, the first device performs data compression only in the slow time dimension or the Doppler dimension.

[0268] Finally, corresponding to the above working process, the second signaling reported by the second device to the first device includes: the second measurement value and the ID of the target sensor matrix in the candidate sensor matrix set.

[0269] In some embodiments, a target measurement matrix and thus a target sensing matrix may be determined from a set of candidate measurement matrices.

[0270] In this embodiment, the target configuration information may include: at least one of the second information and the third information, the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine the second sensor matrix; the third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine the second sensor matrix. In this case, the target configuration information does not need to include the first information, and the first information is used to indicate a method for obtaining the first sensor matrix.

[0271] The sensing matrix is ​​obtained by matrix multiplication between the measurement matrix and the sparse matrix. Therefore, by indicating the acquisition methods of the measurement matrix and the sparse matrix respectively, the acquisition method of the sensing matrix can be indirectly indicated.

[0272] In this embodiment, the acquisition method for indicating the observation matrix may be to indicate the observation matrix through a candidate observation matrix set; the acquisition method for indicating the sparse matrix may be to indicate the sparse matrix through a third mapping function and a third parameter. (For sparse matrices including discrete Fourier transform matrices, discrete cosine transform matrices, and wavelet transform matrices, after a third mapping function is given, the corresponding matrix can be generated uniquely by the size of the matrix, that is, indicating the sparse matrix through a third mapping function and a third parameter is a preferred solution). Therefore, the target configuration information includes: a candidate observation matrix set, and a third mapping function of the sparse matrix.

[0273] The third mapping function of the sparse matrix can be configured by the first signaling, or can be agreed upon by the protocol as a certain mapping function (for example, discrete Fourier transform); wherein the configuration by the first signaling can support multiple mapping functions. The candidate measurement matrix set includes several pre-designed measurement matrices.

[0274] Assuming that the size of the first measurement before compression (the number of sample points in any one, two, three, or four dimensions of the first, second, third, and fourth dimensions) is N, and the size of the second measurement after compression is M, the size of the candidate observation matrix is ​​M×N, and the size of the target sparse matrix is ​​N×N. It should be noted that the target sparse matrix here can be determined according to the third mapping function of the sparse matrix in the target configuration information and the size of the target sparse matrix.

[0275] Optionally, the candidate observation matrix set can be in the following form:

[0276] The candidate measurement matrix set includes at least one subset (for example, respectively recorded as: a first candidate measurement matrix subset, a second candidate measurement matrix subset, etc.);

[0277] The N values ​​of the candidate observation matrices in each subset are the same, and the N values ​​of different subsets are different.

[0278] Each candidate measurement matrix in each subset corresponds to at least one M value;

[0279] The candidate measurement matrix corresponding to an M value in each subset can be one or more;

[0280] Each candidate observation matrix in the entire candidate observation matrix set corresponds to a unique ID.

[0281] For example, the first candidate observation matrix subset contains 3 candidate observation matrices, the N value of all candidate observation matrices is N1, and the M values ​​of each candidate observation matrix are M1, M2 and M3 respectively; the second candidate observation matrix subset contains 4 candidate observation matrices, the N value of all candidate observation matrices is N2, and the M values ​​of each candidate observation matrix are M4, M5, M6 and M7 respectively; the third candidate observation matrix subset contains 6 candidate observation matrices, the N value of all candidate observation matrices is N3, and the M values ​​of each candidate observation matrix are M8, M9, M10, M11 and M12 respectively. 10 、M 11 、M 12 and M 13 .

[0282] In actual work, after the first device obtains the first measurement, the target indicator is determined according to the first measurement, and the N value can be determined according to the first measurement. The first device determines the M value according to the target indicator and the N value. Finally, a candidate observation matrix is ​​selected from the candidate observation matrix set as the target observation matrix according to the N value and the M value. The first device performs matrix multiplication operation on the target observation matrix (size is M×N) and the above-mentioned target sparse matrix (size is N×N) to obtain the target observation matrix (size is M×N), and compresses the first measurement using the target sensing matrix to obtain the second measurement.

[0283] In the above working process, in addition to the candidate sensor matrix set, the target configuration information may also include at least one of the following: a first preset threshold; an indication of whether the first device is allowed to compress the first measurement quantity and then report it; indication information of the compression dimension of allowing compression of the first measurement quantity; and an indication of compression limit for the first device to perform compression on the first measurement quantity.

[0284] The first device determines the target sensing matrix for data compression according to the dimension indicated in the target configuration information that allows data compression, and the target observation matrix determined according to the M value determined by the target indicator. For example, if the target configuration information indicates that data compression is allowed in the slow time dimension or the Doppler dimension, the first device performs data compression only in the slow time dimension or the Doppler dimension.

[0285] Finally, corresponding to the above working process, the second signaling reported by the second device to the first device includes: the second measurement value and the ID of the target observation matrix in the candidate observation matrix set.

[0286] Optionally, in some embodiments, the target observation matrix may be determined according to the second mapping function, and then the target sensing matrix may be determined.

[0287] In this embodiment, the target configuration information may include: second information and third information, wherein the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine the second sensor matrix; and the third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine the second sensor matrix. In this case, the target configuration information does not need to include the first information, and the first information is used to indicate a method for obtaining the first sensor matrix.

[0288] The difference between this embodiment and the above-mentioned example of determining the target measurement matrix from the candidate measurement matrix set and then determining the target sensor matrix is ​​that: the acquisition method for indicating the measurement matrix is ​​to indicate the measurement matrix through the second mapping function and the second parameter of the measurement matrix. In addition, the indication method of the sparse matrix in this embodiment is the same as the above-mentioned embodiment, that is, the sparse matrix is ​​indicated through the third mapping function and the third parameter of the sparse matrix.

[0289] The second mapping function of the measurement matrix can be configured by the first signaling, or can be agreed upon by the protocol as a certain mapping function (eg, random Gaussian function, random Bernoulli function); wherein the configuration by the first signaling can support multiple mapping functions.

[0290] The third mapping function of the sparse matrix may be configured by the first signaling, or may be agreed upon by the protocol as a certain mapping function (eg, discrete Fourier transform); wherein the configuration by the first signaling may support a variety of mapping functions.

[0291] Assuming that the size of the first measurement before compression (the number of sample points in any one, two, three, or four dimensions of the first, second, third, and fourth dimensions) is N, and the size of the second measurement after compression is M, the size of the target observation matrix is ​​M×N, and the size of the target sparse matrix is ​​N×N. It should be noted that the target observation matrix here is determined by the second mapping function and the second parameter in the target configuration information, and the target sparse matrix is ​​determined by the third mapping function and the third parameter in the target configuration information.

[0292] In actual work, after the first device obtains the first measurement amount, the value of N can be determined according to the first measurement amount. The target sparse matrix can be determined according to the value of N and the third mapping function in the target configuration information.

[0293] In addition, the target index is determined according to the first measurement quantity, and the N value can determine the M value. The target observation matrix can be determined according to the N value, the M value, the second mapping function, and the method for obtaining the second parameter of the second mapping function given in the target configuration information.

[0294] For example, when the second mapping function is a random Gaussian function, the parameter types of the second parameter of the second mapping function include: a random number seed, a mean value and a variance of the random number; for another example, when the second mapping function is a random Bernoulli function, the parameter types of the second parameter of the second mapping function include: a random number seed, a probability of a specific event (for example, the occurrence of '1') in a Bernoulli experiment, and the second parameter here can be determined by the following method:

[0295] At least part of the target configuration information included in the first signaling sent by the second device to the first device includes at least one of the above-mentioned second parameters;

[0296] According to the agreement, at least one of the above second parameters can be set to a default value;

[0297] At least one of the above-mentioned second parameters is determined according to the target information value.

[0298] In the above working process, in addition to the candidate sensor matrix set, the target configuration information may also include at least one of the following: a first preset threshold; an indication of whether the first device is allowed to compress the first measurement quantity and then report it; indication information of the compression dimension of allowing compression of the first measurement quantity; and an indication of compression limit for the first device to perform compression on the first measurement quantity.

[0299] The first device performs data compression according to the dimension indicated in the target configuration information that allows data compression, according to the determined target observation matrix and the target sparsely determined target sensing matrix. For example, if the target configuration information indicates that data compression is allowed in the slow time dimension or the Doppler dimension, the first device performs data compression only in the slow time dimension or the Doppler dimension.

[0300] Finally, corresponding to the above working process, the second signaling reported by the second device to the first device includes at least one of the following: a second measurement amount, a type of a second mapping function, a second parameter, and a type of a third mapping function.

[0301] Reference Figure 4 The present application also provides a signal measurement reporting processing method, such as Figure 4 As shown, the signal measurement reporting processing method includes:

[0302] Step 401: A second device receives a second measurement value and first indication information from a first device, where the first indication information is used to indicate a target sensor matrix;

[0303] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal, and the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0304] Optionally, the first indication information includes at least one of the following:

[0305] compressing the first measurement amount to obtain second indication information of the second measurement amount;

[0306] Target indicators;

[0307] a target information value, the target information value being associated with the target sensing matrix;

[0308] information indicating a compressed dimension of the first measurement;

[0309] An identification of the first sensor matrix in the set of candidate sensor matrices;

[0310] an identification of a first mapping function for determining a first sensing matrix;

[0311] Used to determine a first parameter of a first sensing matrix with a first mapping function;

[0312] An identifier for determining a first parameter of the first sensing matrix with a first mapping function;

[0313] The target observation matrix is ​​identified in the set of candidate observation matrices;

[0314] an identification of a second mapping function for determining a target measurement matrix;

[0315] Used to determine a second parameter of the target observation matrix with a second mapping function;

[0316] An identifier for determining a second parameter of a target measurement matrix with a second mapping function;

[0317] The identification of the target sparse matrix in the set of candidate sparse matrices;

[0318] an identification of a third mapping function for determining a target sparse matrix;

[0319] A third parameter for determining a target sparse matrix with a third mapping function;

[0320] An identifier for determining a third parameter of a target sparse matrix with a third mapping function;

[0321] At least one of the target observation matrix and the target sparse matrix is ​​used to determine a second sensing matrix, and the target sensing matrix includes one of the first sensing matrix and the second sensing matrix.

[0322] Optionally, before the second device receives the second measurement amount and the first indication information from the first device, the method further includes:

[0323] The second device sends a first preset threshold to the first device, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount.

[0324] Optionally, the first measurement quantity is a measurement quantity of a target dimension spectrum, and the target dimension spectrum includes at least one of the following:

[0325] A one-dimensional spectrum, wherein the dimension of the one-dimensional spectrum includes a first dimension, a second dimension, a third dimension or a fourth dimension;

[0326] A two-dimensional spectrum, wherein the dimension of the two-dimensional spectrum includes a joint dimension of any two of the first dimension, the second dimension, the third dimension, and the fourth dimension;

[0327] A three-dimensional spectrum, wherein the dimensions of the three-dimensional spectrum include the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0328] A four-dimensional spectrum, wherein the dimensions of the four-dimensional spectrum include the joint dimension of any four items of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0329] Among them, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0330] Optionally, the target indicator further includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

[0331] Optionally, the second indicator includes at least one of the following: reference signal received power RSRP, reference signal received quality RSRQ, received signal strength indication RSSI, signal-to-noise ratio SNR, signal-to-interference and noise ratio SINR, perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR, perceived signal power indication and perceived signal quality indication.

[0332] Optionally, before the second device receives the second measurement amount and the first indication information from the first device, the method further includes:

[0333] The second device sends target configuration information to the first device, where the target configuration information is used to indicate a method for acquiring a sensing matrix for compressing the first measurement quantity.

[0334] Optionally, the target configuration information includes at least one of the following:

[0335] First information, where the first information is used to indicate a method for acquiring a first sensing matrix;

[0336] second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix;

[0337] The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

[0338] Optionally, the first information includes at least one of the following:

[0339] A set of candidate sensing matrices;

[0340] at least one first mapping function;

[0341] a candidate first parameter set, the candidate first parameter set comprising at least one set of first parameters of at least one first mapping function;

[0342] First logo;

[0343] A rule for determining a first parameter of at least one first mapping function according to the first identifier;

[0344] The first identifier is used to determine a first parameter of at least one first mapping function, and the first mapping function is used to determine the first sensing matrix.

[0345] Optionally, the second information includes at least one of the following:

[0346] A set of candidate observation matrices;

[0347] at least one second mapping function;

[0348] a candidate second parameter set, the candidate second parameter set comprising at least one set of second parameters of at least one second mapping function;

[0349] Second identification;

[0350] A rule for determining a second parameter of at least one second mapping function according to the second identifier;

[0351] The second identifier is used to determine a second parameter of at least one second mapping function, and the second mapping function is used to determine the observation matrix.

[0352] Optionally, the candidate measurement matrix types in the candidate measurement matrix set include at least one of the following: a random Bernoulli matrix, a random Gaussian matrix, a partially orthogonal matrix, a random sparse matrix, a Toplitz and circulant matrix, a circulant matrix and a Hadamard matrix.

[0353] Optionally, the parameter type in the second parameter includes at least one of the following: a random number seed, a probability of a specific result in a random experiment, a size of an observation matrix, a mean of random numbers, and a variance of random numbers.

[0354] Optionally, the function type of the at least one second mapping function includes at least one of the following: a generating function of a random Bernoulli matrix, a generating function of a random Gaussian matrix, a generating function of a partially orthogonal matrix, a generating function of a random sparse matrix, a generating function of a Toplitz and circulant matrix, a generating function of a cyclic matrix and a Hadamard matrix.

[0355] Optionally, the third information includes at least one of the following:

[0356] A set of candidate sparse matrices;

[0357] at least one third mapping function;

[0358] a candidate third parameter set, the candidate third parameter set comprising at least one set of third parameters of at least one third mapping function;

[0359] The third logo;

[0360] A rule for determining a third parameter of at least one third mapping function according to the third identifier;

[0361] The third identifier is used to determine a third parameter of at least one third mapping function, and the third mapping function is used to determine the sparse matrix.

[0362] Optionally, the types of candidate sparse matrices in the candidate sparse matrix set include at least one of the following: discrete Fourier transform DFT matrix, inverse discrete Fourier transform IDFT matrix, discrete cosine transform DCT matrix, discrete wavelet transform DWT matrix.

[0363] Optionally, the parameter type in the third parameter includes at least one of the following: the number of DFT points, the number of IDFT points, the number of DCT points and the wavelet basis of DWT.

[0364] Optionally, the function type of the at least one third mapping function includes at least one of the following: DFT, IDFT, DCT and DWT.

[0365] Optionally, the target configuration information further includes at least one of the following:

[0366] a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount;

[0367] an indication of whether to allow the first device to compress the first measurement amount before reporting;

[0368] Indicative information of a compression dimension allowing compression of the first measurement quantity;

[0369] A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

[0370] Optionally, the compression limit indication includes at least one of the following:

[0371] A first compression limit indication in a delay dimension or a frequency dimension;

[0372] A second compression limit indication in the Doppler dimension or the slow time dimension;

[0373] A third compression limit indication in azimuth or in the horizontal direction of the antenna array;

[0374] a fourth compression limit indication in the elevation direction or the vertical direction of the antenna array;

[0375] a fifth compression limit indication of the first target dimension;

[0376] a sixth compression limit indication of the second target dimension;

[0377] A seventh compression limit indication of the union of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0378] Among them, the first target dimension includes the joint dimension of any two of the first dimension, the second dimension, the third dimension and the fourth dimension, the second target dimension includes the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0379] Optionally, the compression limit indication satisfies any one of the following:

[0380] The compression limit indication is used to indicate the range of the number of sample value points of the second measurement quantity in the corresponding dimension after the first measurement quantity is compressed;

[0381] The compression limit indication is used to indicate a range of a ratio of the number of sample points of the second measurement quantity in a corresponding dimension after the first measurement quantity is compressed to the number of sample points before compression.

[0382] Optionally, the sensing matrix is ​​associated with a third target dimension, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0383] Optionally, the target information value is used to represent the number of sample points in a third target dimension after the first measurement quantity is compressed, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array, and the target information value is associated with the target sensing matrix.

[0384] The signal measurement report processing method provided in the embodiment of the present application may be executed by a signal measurement report processing device. In the embodiment of the present application, the signal measurement report processing device executing the signal measurement report processing method is taken as an example to illustrate the signal measurement report processing device provided in the embodiment of the present application.

[0385] Reference Figure 5 The embodiment of the present application also provides a signal measurement reporting processing device, such as Figure 5 As shown, the signal measurement reporting processing device 500 includes:

[0386] A compression module 501 is used to compress a first measurement amount of a target signal based on a target sensor matrix to obtain a second measurement amount, wherein the target sensor matrix is ​​a sensor matrix determined based on a target indicator of the target signal;

[0387] A first sending module 502 is used to send the second measurement amount and first indication information to a second device, where the first indication information is used to indicate the target sensor matrix;

[0388] The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0389] Optionally, the first indication information includes at least one of the following:

[0390] compressing the first measurement amount to obtain second indication information of the second measurement amount;

[0391] Target indicators;

[0392] a target information value, the target information value being associated with the target sensing matrix;

[0393] information indicating a compressed dimension of the first measurement;

[0394] An identification of the first sensor matrix in the set of candidate sensor matrices;

[0395] an identification of a first mapping function for determining a first sensing matrix;

[0396] Used to determine a first parameter of a first sensing matrix with a first mapping function;

[0397] An identifier for determining a first parameter of the first sensing matrix with a first mapping function;

[0398] The target observation matrix is ​​identified in the set of candidate observation matrices;

[0399] an identification of a second mapping function for determining a target measurement matrix;

[0400] Used to determine a second parameter of the target observation matrix with a second mapping function;

[0401] An identifier for determining a second parameter of a target measurement matrix with a second mapping function;

[0402] The identification of the target sparse matrix in the set of candidate sparse matrices;

[0403] an identification of a third mapping function for determining a target sparse matrix;

[0404] A third parameter for determining a target sparse matrix with a third mapping function;

[0405] An identifier for determining a third parameter of a target sparse matrix with a third mapping function;

[0406] At least one of the target observation matrix and the target sparse matrix is ​​used to determine a second sensing matrix, and the target sensing matrix includes one of the first sensing matrix and the second sensing matrix.

[0407] Optionally, the signal measurement reporting processing device 500 further includes:

[0408] An acquisition module, used to acquire a first preset threshold, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount;

[0409] The method for the first device to obtain the first preset threshold includes at least one of the following: receiving relevant configuration information of the first preset threshold from the second device, and agreeing on the relevant configuration information of the first preset threshold by protocol.

[0410] Optionally, the first measurement quantity is a measurement quantity of a target dimension spectrum, and the target dimension spectrum includes at least one of the following:

[0411] A one-dimensional spectrum, wherein the dimension of the one-dimensional spectrum includes a first dimension, a second dimension, a third dimension or a fourth dimension;

[0412] A two-dimensional spectrum, wherein the dimension of the two-dimensional spectrum includes a joint dimension of any two of the first dimension, the second dimension, the third dimension, and the fourth dimension;

[0413] A three-dimensional spectrum, wherein the dimensions of the three-dimensional spectrum include the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0414] A four-dimensional spectrum, wherein the dimensions of the four-dimensional spectrum include the joint dimension of any four items of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0415] Among them, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0416] Optionally, the target indicator further includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

[0417] Optionally, the second indicator includes at least one of the following: reference signal received power RSRP, reference signal received quality RSRQ, received signal strength indication RSSI, signal-to-noise ratio SNR, signal-to-interference and noise ratio SINR, perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR, perceived signal power indication and perceived signal quality indication.

[0418] Optionally, the signal measurement reporting processing device 500 further includes:

[0419] an acquisition module, used for acquiring target configuration information, where the target configuration information is used for indicating a method for acquiring a sensor matrix for compressing the first measurement amount;

[0420] The method for acquiring the target configuration information includes at least one of the following: at least part of the information in the target configuration information is agreed upon by protocol, and at least part of the information in the target configuration information is received from the second device.

[0421] Optionally, the target configuration information includes at least one of the following:

[0422] First information, where the first information is used to indicate a method for acquiring a first sensing matrix;

[0423] second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix;

[0424] The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

[0425] Optionally, the first information includes at least one of the following:

[0426] A set of candidate sensing matrices;

[0427] at least one first mapping function;

[0428] a candidate first parameter set, the candidate first parameter set comprising at least one set of first parameters of at least one first mapping function;

[0429] First logo;

[0430] A rule for determining a first parameter of at least one first mapping function according to the first identifier;

[0431] The first identifier is used to determine a first parameter of at least one first mapping function, and the first mapping function is used to determine the first sensing matrix.

[0432] Optionally, the second information includes at least one of the following:

[0433] A set of candidate observation matrices;

[0434] at least one second mapping function;

[0435] a candidate second parameter set, the candidate second parameter set comprising at least one set of second parameters of at least one second mapping function;

[0436] Second identification;

[0437] A rule for determining a second parameter of at least one second mapping function according to the second identifier;

[0438] The second identifier is used to determine a second parameter of at least one second mapping function, and the second mapping function is used to determine the observation matrix.

[0439] Optionally, the candidate measurement matrix types in the candidate measurement matrix set include at least one of the following: a random Bernoulli matrix, a random Gaussian matrix, a partially orthogonal matrix, a random sparse matrix, a Toplitz and circulant matrix, a circulant matrix and a Hadamard matrix.

[0440] Optionally, the parameter type in the second parameter includes at least one of the following: a random number seed, a probability of a specific result in a random experiment, a size of an observation matrix, a mean of random numbers, and a variance of random numbers.

[0441] Optionally, the function type of the at least one second mapping function includes at least one of the following: a generating function of a random Bernoulli matrix, a generating function of a random Gaussian matrix, a generating function of a partially orthogonal matrix, a generating function of a random sparse matrix, a generating function of a Toplitz and circulant matrix, a generating function of a cyclic matrix and a Hadamard matrix.

[0442] Optionally, the third information includes at least one of the following:

[0443] A set of candidate sparse matrices;

[0444] at least one third mapping function;

[0445] a candidate third parameter set, the candidate third parameter set comprising at least one set of third parameters of at least one third mapping function;

[0446] The third logo;

[0447] A rule for determining a third parameter of at least one third mapping function according to the third identifier;

[0448] The third identifier is used to determine a third parameter of at least one third mapping function, and the third mapping function is used to determine the sparse matrix.

[0449] Optionally, the types of candidate sparse matrices in the candidate sparse matrix set include at least one of the following: discrete Fourier transform DFT matrix, inverse discrete Fourier transform IDFT matrix, discrete cosine transform DCT matrix, discrete wavelet transform DWT matrix.

[0450] Optionally, the parameter type in the third parameter includes at least one of the following: the number of DFT points, the number of IDFT points, the number of DCT points and the wavelet basis of DWT.

[0451] Optionally, the function type of the at least one third mapping function includes at least one of the following: DFT, IDFT, DCT and DWT.

[0452] Optionally, the target configuration information further includes at least one of the following:

[0453] a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount;

[0454] an indication of whether to allow the first device to compress the first measurement amount before reporting;

[0455] Indicative information of a compression dimension allowing compression of the first measurement quantity;

[0456] A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

[0457] Optionally, the compression limit indication includes at least one of the following:

[0458] A first compression limit indication in a delay dimension or a frequency dimension;

[0459] A second compression limit indication in the Doppler dimension or the slow time dimension;

[0460] A third compression limit indication in azimuth or in the horizontal direction of the antenna array;

[0461] a fourth compression limit indication in the elevation direction or the vertical direction of the antenna array;

[0462] a fifth compression limit indication of the first target dimension;

[0463] a sixth compression limit indication of the second target dimension;

[0464] A seventh compression limit indication of the union of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0465] Among them, the first target dimension includes the joint dimension of any two of the first dimension, the second dimension, the third dimension and the fourth dimension, the second target dimension includes the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0466] Optionally, the compression limit indication satisfies any one of the following:

[0467] The compression limit indication is used to indicate the range of the number of sample value points of the second measurement quantity in the corresponding dimension after the first measurement quantity is compressed;

[0468] The compression limit indication is used to indicate a range of a ratio of the number of sample points of the second measurement quantity in a corresponding dimension after the first measurement quantity is compressed to the number of sample points before compression.

[0469] Optionally, the sensing matrix is ​​associated with a third target dimension, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0470] Optionally, the signal measurement reporting processing device 500 further includes:

[0471] A determination module is used to perform at least one of the following: determining a target information value according to the target indicator, wherein the target information value is associated with the target sensing matrix; and determining the target sensing matrix based on the target information value.

[0472] Optionally, the target information value is used to represent the number of sample points in a third target dimension after the first measurement quantity is compressed, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array, and the target information value is associated with the target sensing matrix.

[0473] Reference Figure 6 The embodiment of the present application also provides a signal measurement reporting processing device, such as Figure 6 As shown, the signal measurement reporting processing device 600 includes:

[0474] The receiving module 601 is configured to receive a second measurement value and first indication information from a first device, where the first indication information is used to indicate a target sensor matrix;

[0475] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal, and the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0476] Optionally, the first indication information includes at least one of the following:

[0477] compressing the first measurement amount to obtain second indication information of the second measurement amount;

[0478] Target indicators;

[0479] a target information value, the target information value being associated with the target sensing matrix;

[0480] information indicating a compressed dimension of the first measurement;

[0481] An identification of the first sensor matrix in the set of candidate sensor matrices;

[0482] an identification of a first mapping function for determining a first sensing matrix;

[0483] Used to determine a first parameter of a first sensing matrix with a first mapping function;

[0484] An identifier for determining a first parameter of the first sensing matrix with a first mapping function;

[0485] The target observation matrix is ​​identified in the set of candidate observation matrices;

[0486] an identification of a second mapping function for determining a target measurement matrix;

[0487] Used to determine a second parameter of the target observation matrix with a second mapping function;

[0488] An identifier for determining a second parameter of a target measurement matrix with a second mapping function;

[0489] The identification of the target sparse matrix in the set of candidate sparse matrices;

[0490] an identification of a third mapping function for determining a target sparse matrix;

[0491] A third parameter for determining a target sparse matrix with a third mapping function;

[0492] An identifier for determining a third parameter of a target sparse matrix with a third mapping function;

[0493] At least one of the target observation matrix and the target sparse matrix is ​​used to determine a second sensing matrix, and the target sensing matrix includes one of the first sensing matrix and the second sensing matrix.

[0494] Optionally, the signal measurement reporting processing device 600 further includes:

[0495] The second sending module is used to send a first preset threshold to the first device, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount.

[0496] Optionally, the first measurement quantity is a measurement quantity of a target dimension spectrum, and the target dimension spectrum includes at least one of the following:

[0497] A one-dimensional spectrum, wherein the dimension of the one-dimensional spectrum includes a first dimension, a second dimension, a third dimension or a fourth dimension;

[0498] A two-dimensional spectrum, wherein the dimension of the two-dimensional spectrum includes a joint dimension of any two of the first dimension, the second dimension, the third dimension, and the fourth dimension;

[0499] A three-dimensional spectrum, wherein the dimensions of the three-dimensional spectrum include the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0500] A four-dimensional spectrum, wherein the dimensions of the four-dimensional spectrum include the joint dimension of any four items of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0501] Among them, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0502] Optionally, the target indicator further includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

[0503] Optionally, the second indicator includes at least one of the following: reference signal received power RSRP, reference signal received quality RSRQ, received signal strength indication RSSI, signal-to-noise ratio SNR, signal-to-interference and noise ratio SINR, perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR, perceived signal power indication and perceived signal quality indication.

[0504] Optionally, the signal measurement reporting processing device 600 further includes:

[0505] The second sending module is used to send target configuration information to the first device, where the target configuration information is used to indicate a method for acquiring a sensor matrix for compressing the first measurement quantity.

[0506] Optionally, the target configuration information includes at least one of the following:

[0507] First information, where the first information is used to indicate a method for acquiring a first sensing matrix;

[0508] second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix;

[0509] The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

[0510] Optionally, the first information includes at least one of the following:

[0511] A set of candidate sensing matrices;

[0512] at least one first mapping function;

[0513] a candidate first parameter set, the candidate first parameter set comprising at least one set of first parameters of at least one first mapping function;

[0514] First logo;

[0515] A rule for determining a first parameter of at least one first mapping function according to the first identifier;

[0516] The first identifier is used to determine a first parameter of at least one first mapping function, and the first mapping function is used to determine the first sensing matrix.

[0517] Optionally, the second information includes at least one of the following:

[0518] A set of candidate observation matrices;

[0519] at least one second mapping function;

[0520] a candidate second parameter set, the candidate second parameter set comprising at least one set of second parameters of at least one second mapping function;

[0521] Second identification;

[0522] A rule for determining a second parameter of at least one second mapping function according to the second identifier;

[0523] The second identifier is used to determine a second parameter of at least one second mapping function, and the second mapping function is used to determine the observation matrix.

[0524] Optionally, the candidate measurement matrix types in the candidate measurement matrix set include at least one of the following: a random Bernoulli matrix, a random Gaussian matrix, a partially orthogonal matrix, a random sparse matrix, a Toplitz and circulant matrix, a circulant matrix and a Hadamard matrix.

[0525] Optionally, the parameter type in the second parameter includes at least one of the following: a random number seed, a probability of a specific result in a random experiment, a size of an observation matrix, a mean of random numbers, and a variance of random numbers.

[0526] Optionally, the function type of the at least one second mapping function includes at least one of the following: a generating function of a random Bernoulli matrix, a generating function of a random Gaussian matrix, a generating function of a partially orthogonal matrix, a generating function of a random sparse matrix, a generating function of a Toplitz and circulant matrix, a generating function of a cyclic matrix and a Hadamard matrix.

[0527] Optionally, the third information includes at least one of the following:

[0528] A set of candidate sparse matrices;

[0529] at least one third mapping function;

[0530] a candidate third parameter set, the candidate third parameter set comprising at least one set of third parameters of at least one third mapping function;

[0531] The third logo;

[0532] A rule for determining a third parameter of at least one third mapping function according to the third identifier;

[0533] The third identifier is used to determine a third parameter of at least one third mapping function, and the third mapping function is used to determine the sparse matrix.

[0534] Optionally, the types of candidate sparse matrices in the candidate sparse matrix set include at least one of the following: discrete Fourier transform DFT matrix, inverse discrete Fourier transform IDFT matrix, discrete cosine transform DCT matrix, discrete wavelet transform DWT matrix.

[0535] Optionally, the parameter type in the third parameter includes at least one of the following: the number of DFT points, the number of IDFT points, the number of DCT points and the wavelet basis of DWT.

[0536] Optionally, the function type of the at least one third mapping function includes at least one of the following: DFT, IDFT, DCT and DWT.

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

[0538] a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount;

[0539] an indication of whether to allow the first device to compress the first measurement amount before reporting;

[0540] Indicative information of a compression dimension allowing compression of the first measurement quantity;

[0541] A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

[0542] Optionally, the compression limit indication includes at least one of the following:

[0543] A first compression limit indication in a delay dimension or a frequency dimension;

[0544] A second compression limit indication in the Doppler dimension or the slow time dimension;

[0545] A third compression limit indication in azimuth or in the horizontal direction of the antenna array;

[0546] a fourth compression limit indication in the elevation direction or the vertical direction of the antenna array;

[0547] a fifth compression limit indication of the first target dimension;

[0548] a sixth compression limit indication of the second target dimension;

[0549] A seventh compression limit indication of the union of the first dimension, the second dimension, the third dimension and the fourth dimension;

[0550] Among them, the first target dimension includes the joint dimension of any two of the first dimension, the second dimension, the third dimension and the fourth dimension, the second target dimension includes the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0551] Optionally, the compression limit indication satisfies any one of the following:

[0552] The compression limit indication is used to indicate the range of the number of sample value points of the second measurement quantity in the corresponding dimension after the first measurement quantity is compressed;

[0553] The compression limit indication is used to indicate a range of a ratio of the number of sample points of the second measurement quantity in a corresponding dimension after the first measurement quantity is compressed to the number of sample points before compression.

[0554] Optionally, the sensing matrix is ​​associated with a third target dimension, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

[0555] Optionally, the target information value is used to represent the number of sample points in a third target dimension after the first measurement quantity is compressed, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array, and the target information value is associated with the target sensing matrix.

[0556] The signal measurement reporting processing device in the embodiment of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or it can be other devices other than a terminal. Exemplarily, the terminal can include but is not limited to the types of terminals 11 listed above, and other devices can be servers, network attached storage (Network Attached Storage, NAS), etc., which are not specifically limited in the embodiment of the present application.

[0557] The signal measurement reporting processing device provided in the embodiment of the present application can achieve Figures 2 to 4 The various processes implemented by the method embodiment and achieving the same technical effect are not described here to avoid repetition.

[0558] like Figure 7 As shown, an embodiment of the present application also provides a communication device 700, including a processor 701 and a memory 702, and the memory 702 stores a program or instruction that can be executed on the processor 701. When the program or instruction is executed by the processor 701, the various steps of the above-mentioned signal measurement reporting processing method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0559] The embodiment of the present application also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the following Figure 2Or the steps in the method embodiment shown in 4. This terminal embodiment corresponds to the above-mentioned terminal side method embodiment, and each implementation process and implementation method of the above-mentioned method embodiment can be applied to this terminal embodiment and can achieve the same technical effect. Specifically, Figure 8 A schematic diagram of the hardware structure of a terminal for implementing an embodiment of the present application.

[0560] The terminal 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809 and at least some of the components of a processor 810.

[0561] Those skilled in the art will appreciate that the terminal 800 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 810 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Figure 8 The terminal structure shown in the figure does not constitute a limitation on the terminal. The terminal may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0562] It should be understood that in the embodiment of the present application, the input unit 804 may include a graphics processing unit (GPU) 8041 and a microphone 8042, and the graphics processor 8041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 807 includes a touch panel 8071 and at least one of other input devices 8072. The touch panel 8071 is also called a touch screen. The touch panel 8071 may include two parts: a touch detection device and a touch controller. Other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0563] In the embodiment of the present application, after receiving downlink data from the network side device, the radio frequency unit 801 can transmit the data to the processor 810 for processing; in addition, the radio frequency unit 801 can send uplink data to the network side device. Generally, the radio frequency unit 801 includes but is not limited to an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

[0564] The memory 809 can be used to store software programs or instructions and various data. The memory 809 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.), etc. In addition, the memory 809 may include a volatile memory or a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 809 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0565] The processor 810 may include one or more processing units; optionally, the processor 810 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 810.

[0566] Wherein, when the terminal is a first device, the processor 810 is used to compress a first measurement amount of a target signal based on a target sensing matrix to obtain a second measurement amount, and the target sensing matrix is ​​a sensing matrix determined based on a target indicator of the target signal;

[0567] The radio frequency unit 801 is used to send the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensor matrix;

[0568] The target indicator includes a first indicator, and the first indicator is used to indicate a sparse characteristic of a power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain, and an angle domain;

[0569] When the terminal is a second device, the radio frequency unit 801 is configured to receive a second measurement amount and first indication information from a first device, where the first indication information is used to indicate a target sensor matrix;

[0570] Among them, the target sensing matrix is ​​a sensing matrix determined based on the target indicator of the target signal, and the target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

[0571] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of method embodiment 888 and achieve the same or corresponding technical effect. To avoid repetition, it will not be repeated here.

[0572] The embodiment of the present application also provides a network side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the following Figure 2 Or the steps of the method embodiment shown in 4. This network side device embodiment corresponds to the above network side device method embodiment, and each implementation process and implementation method of the above method embodiment can be applied to this network side device embodiment and can achieve the same technical effect.

[0573] Specifically, the embodiment of the present application also provides a network side device. Fig. 9 As shown, the network side device 900 includes: an antenna 91, a radio frequency device 92, a baseband device 93, a processor 94 and a memory 95. The antenna 91 is connected to the radio frequency device 92. In the uplink direction, the radio frequency device 92 receives information through the antenna 91 and sends the received information to the baseband device 93 for processing. In the downlink direction, the baseband device 93 processes the information to be sent and sends it to the radio frequency device 92. The radio frequency device 92 processes the received information and sends it out through the antenna 91.

[0574] The method executed by the network-side device in the above embodiment may be implemented in the baseband device 93, which includes a baseband processor.

[0575] The baseband device 93 may include, for example, at least one baseband board on which a plurality of chips are arranged. Fig. 9As shown, one of the chips is, for example, a baseband processor, which is connected to the memory 95 through a bus interface to call the program in the memory 95 to execute the network device operations shown in the above method embodiment.

[0576] The network side device may further include a network interface 96, which is, for example, a Common Public Radio Interface (CPRI).

[0577] Specifically, the network side device 900 of the embodiment of the present application further includes: instructions or programs stored in the memory 95 and executable on the processor 94, and the processor 94 calls the instructions or programs in the memory 95 to execute. Figure 5 Or the method executed by each module shown in 6, and achieves the same technical effect, to avoid repetition, it will not be repeated here.

[0578] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, each process of the above-mentioned signal measurement reporting processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0579] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory ROM, a random access memory RAM, a magnetic disk or an optical disk. In some examples, the readable storage medium may be a non-transient readable storage medium.

[0580] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned signal measurement and reporting processing method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0581] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0582] The embodiment of the present application further provides a computer program / program product, which is stored in a storage medium, and is executed by at least one processor to implement the various processes of the above-mentioned signal measurement reporting processing method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0583] An embodiment of the present application also provides a wireless communication system, including: a first device and a second device, wherein the first device can be used to execute the steps of the signal measurement reporting processing method on the first device side as described above, and the second device can be used to execute the steps of the signal measurement reporting processing method on the second device side as described above.

[0584] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0585] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general hardware platform, and of course, can also be implemented by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, disk, CD, etc.), including several instructions to enable a terminal or a network-side device to execute the methods described in each embodiment of the present application.

[0586] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of the present application and the scope of protection of the claims, and these implementation methods are all within the protection of the present application.

Claims

1. A signal measurement reporting processing method, characterized in that: include: The first device compresses a first measurement amount of a target signal based on a target sensing matrix to obtain a second measurement amount, wherein the target sensing matrix is ​​a sensing matrix determined based on a target indicator of the target signal; The first device sends the second measurement amount and first indication information to the second device, where the first indication information is used to indicate the target sensing matrix; The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

2. The method according to claim 1, characterized in that The first indication information includes at least one of the following: compressing the first measurement amount to obtain second indication information of the second measurement amount; Target indicators; a target information value, the target information value being associated with the target sensing matrix; information indicating a compressed dimension of the first measurement; An identification of the first sensor matrix in the set of candidate sensor matrices; an identification of a first mapping function for determining a first sensing matrix; Used to determine a first parameter of a first sensing matrix with a first mapping function; An identifier for determining a first parameter of the first sensing matrix with a first mapping function; The target observation matrix is ​​identified in the set of candidate observation matrices; an identification of a second mapping function for determining a target measurement matrix; Used to determine a second parameter of the target observation matrix with a second mapping function; An identifier for determining a second parameter of a target measurement matrix with a second mapping function; The identification of the target sparse matrix in the set of candidate sparse matrices; an identification of a third mapping function for determining a target sparse matrix; A third parameter for determining a target sparse matrix with a third mapping function; An identifier for determining a third parameter of a target sparse matrix with a third mapping function; At least one of the target observation matrix and the target sparse matrix is ​​used to determine a second sensing matrix, and the target sensing matrix includes one of the first sensing matrix and the second sensing matrix.

3. The method according to claim 1 or 2, characterized in that: Before the first device compresses the first measurement amount of the target signal based on the target sensing matrix to obtain the second measurement amount, the method further includes: The first device acquires a first preset threshold, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount; The method for the first device to obtain the first preset threshold includes at least one of the following: the first device receives relevant configuration information of the first preset threshold from the second device, and the relevant configuration information of the first preset threshold is agreed upon by a protocol.

4. The method according to any one of claims 1 to 3, characterized in that: The first measurement quantity is a measurement quantity of a target dimension spectrum, and the target dimension spectrum includes at least one of the following: A one-dimensional spectrum, wherein the dimension of the one-dimensional spectrum includes a first dimension, a second dimension, a third dimension or a fourth dimension; A two-dimensional spectrum, wherein the dimension of the two-dimensional spectrum includes a joint dimension of any two of the first dimension, the second dimension, the third dimension, and the fourth dimension; A three-dimensional spectrum, wherein the dimensions of the three-dimensional spectrum include the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension; A four-dimensional spectrum, wherein the dimensions of the four-dimensional spectrum include the joint dimension of any four items of the first dimension, the second dimension, the third dimension and the fourth dimension; Among them, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

5. The method according to any one of claims 1 to 4, characterized in that: The target indicator also includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

6. The method according to claim 5, characterized in that The second indicator includes at least one of the following: reference signal received power RSRP, reference signal received quality RSRQ, received signal strength indication RSSI, signal-to-noise ratio SNR, signal-to-interference and noise ratio SINR, perceived signal amplitude, perceived signal power, perceived SNR, perceived SINR, perceived signal power indication and perceived signal quality indication.

7. The method according to any one of claims 1 to 6, characterized in that: Before the first device compresses the first measurement amount of the target signal based on the target sensing matrix to obtain the second measurement amount, the method further includes: The first device acquires target configuration information, where the target configuration information is used to indicate a method for acquiring a sensor matrix for compressing the first measurement amount; The method for acquiring the target configuration information includes at least one of the following: at least part of the information in the target configuration information is agreed upon by protocol, and at least part of the information in the target configuration information is received from the second device.

8. The method according to claim 7, characterized in that The target configuration information includes at least one of the following: First information, where the first information is used to indicate a method for acquiring a first sensing matrix; second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix; The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

9. The method according to claim 8, characterized in that The first information includes at least one of the following: A set of candidate sensing matrices; at least one first mapping function; a candidate first parameter set, the candidate first parameter set comprising at least one set of first parameters of at least one first mapping function; First logo; A rule for determining a first parameter of at least one first mapping function according to the first identifier; The first identifier is used to determine a first parameter of at least one first mapping function, and the first mapping function is used to determine the first sensing matrix.

10. The method according to claim 8, characterized in that The second information includes at least one of the following: A set of candidate observation matrices; at least one second mapping function; a candidate second parameter set, the candidate second parameter set comprising at least one set of second parameters of at least one second mapping function; Second identification; A rule for determining a second parameter of at least one second mapping function according to the second identifier; The second identifier is used to determine a second parameter of at least one second mapping function, and the second mapping function is used to determine the observation matrix.

11. The method according to claim 10, characterized in that The candidate measurement matrix types in the candidate measurement matrix set include at least one of the following: a random Bernoulli matrix, a random Gaussian matrix, a partially orthogonal matrix, a random sparse matrix, a Toplitz and circulant matrix, a circulant matrix and a Hadamard matrix.

12. The method according to claim 10, characterized in that The parameter types in the second parameters include at least one of the following: a random number seed, a probability of a specific result in a random experiment, a size of an observation matrix, a mean of random numbers, and a variance of random numbers.

13. The method according to claim 10, characterized in that The function type of the at least one second mapping function includes at least one of the following: a generating function of a random Bernoulli matrix, a generating function of a random Gaussian matrix, a generating function of a partially orthogonal matrix, a generating function of a random sparse matrix, a generating function of a Toplitz and circulant matrix, a generating function of a rotatory matrix and a Hadamard matrix.

14. The method according to claim 8, characterized in that The third information includes at least one of the following: A set of candidate sparse matrices; at least one third mapping function; a candidate third parameter set, the candidate third parameter set comprising at least one set of third parameters of at least one third mapping function; The third logo; A rule for determining a third parameter of at least one third mapping function according to the third identifier; The third identifier is used to determine a third parameter of at least one third mapping function, and the third mapping function is used to determine the sparse matrix.

15. The method according to claim 14, characterized in that The types of candidate sparse matrices in the candidate sparse matrix set include at least one of the following: discrete Fourier transform DFT matrix, inverse discrete Fourier transform IDFT matrix, discrete cosine transform DCT matrix, discrete wavelet transform DWT matrix.

16. The method according to claim 14, characterized in that The parameter type in the third parameter includes at least one of the following: the number of points of DFT, the number of points of IDFT, the number of points of DCT and the wavelet basis of DWT.

17. The method according to claim 14, characterized in that The function type of the at least one third mapping function includes at least one of the following: DFT, IDFT, DCT and DWT.

18. The method according to claim 8, characterized in that The target configuration information also includes at least one of the following: a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount; an indication of whether to allow the first device to compress the first measurement amount before reporting; Indicative information of a compression dimension allowing compression of the first measurement quantity; A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

19. The method according to claim 18, characterized in that The compression limit indication includes at least one of the following: A first compression limit indication in a delay dimension or a frequency dimension; A second compression limit indication in the Doppler dimension or the slow time dimension; A third compression limit indication in azimuth or in the horizontal direction of the antenna array; a fourth compression limit indication in the elevation direction or the vertical direction of the antenna array; a fifth compression limit indication of the first target dimension; a sixth compression limit indication of the second target dimension; A seventh compression limit indication of the union of the first dimension, the second dimension, the third dimension and the fourth dimension; Among them, the first target dimension includes the joint dimension of any two of the first dimension, the second dimension, the third dimension and the fourth dimension, the second target dimension includes the joint dimension of any three of the first dimension, the second dimension, the third dimension and the fourth dimension, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array.

20. The method according to claim 7, characterized in that The sensing matrix is ​​associated with a third target dimension, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the elevation direction or the vertical direction of the antenna array.

21. The method according to any one of claims 1 to 20, characterized in that The target information value is used to represent the number of sample points in the third target dimension after the first measurement quantity is compressed. The third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions. The first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the pitch direction or the vertical direction of the antenna array. The target information value is associated with the target sensor matrix.

22. A signal measurement reporting processing method, characterized in that: include: The second device receives a second measurement amount and first indication information from the first device, where the first indication information is used to indicate a target sensing matrix; Among them, the target sensing matrix is ​​a sensing matrix determined based on the target index of the target signal, and the target index includes a first index, and the first index is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of the delay domain, the Doppler domain and the angle domain.

23. The method according to claim 22, characterized in that Before the second device receives the second measurement amount and the first indication information from the first device, the method further includes: The second device sends a first preset threshold to the first device, where the first preset threshold is used to determine the first indicator in conjunction with the first measurement amount.

24. The method according to any one of claims 22 or 23, characterized in that: The target indicator also includes a second indicator, and the second indicator is used to represent the signal quality of the target signal.

25. The method according to any one of claims 22 to 24, characterized in that Before the second device receives the second measurement amount and the first indication information from the first device, the method further includes: The second device sends target configuration information to the first device, where the target configuration information is used to indicate a method for acquiring a sensing matrix for compressing a first measurement quantity.

26. The method according to claim 25, characterized in that The target configuration information includes at least one of the following: First information, where the first information is used to indicate a method for acquiring a first sensing matrix; second information, where the second information is used to indicate a method for obtaining an observation matrix, and the observation matrix is ​​used to determine a second sensing matrix; The third information is used to indicate a method for obtaining a sparse matrix, and the sparse matrix is ​​used to determine a second sensing matrix.

27. The method according to claim 26, characterized in that The target configuration information also includes at least one of the following: a first preset threshold, wherein the first preset threshold is used to determine the first indicator together with a first measurement amount; an indication of whether to allow the first device to compress the first measurement amount before reporting; Indicative information of a compression dimension allowing compression of the first measurement quantity; A compression limit indication of a first measurement quantity is performed on the first device, where the compression limit indication is used to indicate a range of sample value points of data allowed to be compressed.

28. The method according to claim 25, characterized in that The sensing matrix is ​​associated with a third target dimension, and the third target dimension includes any one dimension of the first dimension, the second dimension, the third dimension and the fourth dimension, or a joint dimension of at least two dimensions, the first dimension includes the delay dimension or the frequency dimension, the second dimension includes the Doppler dimension or the slow time dimension, the third dimension includes the azimuth direction or the horizontal direction of the antenna array, and the fourth dimension includes the elevation direction or the vertical direction of the antenna array.

29. A signal measurement reporting processing device, characterized in that: include: A compression module, configured to compress a first measurement amount of a target signal based on a target sensor matrix to obtain a second measurement amount, wherein the target sensor matrix is ​​a sensor matrix determined based on a target indicator of the target signal; A first sending module, configured to send the second measurement amount and first indication information to a second device, where the first indication information is used to indicate the target sensor matrix; The target indicator includes a first indicator, and the first indicator is used to indicate the sparse characteristics of the power distribution of the target signal in a first domain, and the first domain includes at least one of a delay domain, a Doppler domain and an angle domain.

30. A signal measurement reporting processing device, characterized in that: include: A receiving module, configured to receive a second measurement value and first indication information from a first device, wherein the first indication information is used to indicate a target sensor matrix; Among them, the target sensing matrix is ​​a sensing matrix determined based on the target index of the target signal, and the target index includes a first index, and the first index is used to indicate the sparse characteristics of the power distribution of the target signal in the first domain, and the first domain includes at least one of the delay domain, the Doppler domain and the angle domain.

31. A terminal, characterized in that: It includes a processor and a memory, the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the signal measurement reporting processing method according to any one of claims 1 to 28 are implemented.

32. A network side device, characterized in that: It includes a processor and a memory, the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the signal measurement reporting processing method according to any one of claims 1 to 28 are implemented.

33. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the signal measurement reporting processing method according to any one of claims 1 to 28 are implemented.

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