Data transmission methods and apparatuses, and related device

Abstract

The present application belongs to the technical field of communications. Disclosed in the present application are data transmission methods and apparatuses, and a related device. A data transmission method in the embodiments of the present application comprises: on the basis of at least one of first information and sensing configuration information, a first device performs a first operation on first measurement data, so as to obtain second measurement data, wherein the first information is used to characterize a feature corresponding to the first measurement data, and the first measurement data is obtained on the basis of sensing measurement; and the first device sends the second measurement data to a second device.

Description

Data transmission method, apparatus and related device

[0001] Cross-reference to related applications

[0002] The present disclosure claims priority to Chinese Patent Application No. 202411353245.2, filed on September 26, 2024, entitled “Data transmission method, apparatus and related device”, the entire contents of which are incorporated herein by reference in its entirety. TECHNICAL FIELD

[0003] The present application belongs to the field of communication technology, and specifically relates to a data transmission method, apparatus and related device. BACKGROUND

[0004] In related technologies, a sensing and communication system can share the same frequency band and hardware to realize the fusion of communication and sensing, which can improve frequency efficiency and reduce hardware cost. In the system that fuses communication and sensing, the sensing measurement data of a first device (such as a terminal or a base station) needs to be transmitted to a second device (such as a sensing function node) for processing. In related technologies, after the first device performs sensing measurement, the measurement data obtained by the sensing measurement is directly transmitted to the second device, which results in a large resource overhead for transmitting the sensing measurement data. SUMMARY

[0005] Embodiments of the present application provide a data transmission method, apparatus and related device, which can solve the problem of large resource overhead for transmitting sensing measurement data.

[0006] In a first aspect, a data transmission method is provided, the method comprising:

[0007] The first device performs a first operation on the first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, the first information being used to represent a feature corresponding to the first measurement data, and the first measurement data being obtained based on sensing measurement.

[0008] The first device transmits the second measurement data to a second device.

[0009] In a second aspect, a data transmission method is provided, the method comprising:

[0010] The second device receives second measurement data transmitted by a first device;

[0011] The second device performs a second operation on the second measurement data to obtain third measurement data.

[0012] The second operation is determined based on at least one of first information and sensing configuration information, and the first information is used to represent a feature corresponding to the first measurement data obtained by sensing measurement.

[0013] In a third aspect, a data transmission apparatus is provided, comprising:

[0014] a processing module configured to perform a first operation on first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on sensing measurement;

[0015] a sending module configured to send the second measurement data to a second device.

[0016] In a fourth aspect, a data transmission apparatus is provided, comprising:

[0017] a receiving module configured to receive second measurement data sent by a first device;

[0018] a processing module configured to perform a second operation on the second measurement data, to obtain third measurement data;

[0019] wherein the second operation is determined based on at least one of first information and sensing configuration information, and the first information is used to represent a feature corresponding to first measurement data obtained by sensing measurement.

[0020] In a fifth aspect, a data transmission apparatus is provided, which is configured to perform the steps of the method according to the first aspect, or implement the steps of the method according to the second aspect.

[0021] In a sixth aspect, a first device is provided, comprising a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the method according to the first aspect.

[0022] In a seventh aspect, a first device is provided, comprising a processor and a communication interface, wherein:

[0023] the processor is configured to perform a first operation on first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on sensing measurement;

[0024] the communication interface is configured to send the second measurement data to a second device.

[0025] In an eighth aspect, a second device is provided, comprising a processor and a memory, wherein the memory stores programs or instructions executable on the processor, and the programs or instructions are executed by the processor to implement the steps of the method according to the second aspect.

[0026] In a ninth aspect, a second device is provided, comprising a processor and a communication interface, wherein

[0027] a communication interface configured to receive second measurement data transmitted by the first device;

[0028] a processor configured to perform a second operation on the second measurement data to obtain third measurement data;

[0029] wherein the second operation is determined based on at least one of first information and sensing configuration information, the first information being used to represent a feature corresponding to the first measurement data obtained by the sensing measurement.

[0030] In a tenth aspect, a readable storage medium is provided, the readable storage medium storing a program or instructions, the program or instructions being executed by a processor to implement the steps of the method according to the first aspect, or to implement the steps of the method according to the second aspect.

[0031] In an eleventh aspect, a wireless communication system is provided, comprising a first device and a second device, the first device being configured to implement the steps of the method according to the first aspect, and the second device being configured to implement the steps of the method according to the second aspect.

[0032] In a twelfth aspect, a chip is provided, the chip comprising a processor and a communication interface, the communication interface being coupled to the processor, and the processor being configured to run a program or instructions to implement the method according to the first aspect, or to implement the method according to the second aspect.

[0033] In a thirteenth aspect, a computer program / program product is provided, the computer program / program product being stored in a storage medium, and the computer program / program product being executed by at least one processor to implement the method according to the first aspect, or to implement the method according to the second aspect.

[0034] In the embodiments of the present application, the first device performs a first operation on the first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, the first information being used to represent a feature corresponding to the first measurement data, and the first measurement data being obtained based on a sensing measurement; and the first device transmits the second measurement data to the second device. In this way, after the first operation on the first measurement data obtained by the sensing measurement based on at least one of the first information and the sensing configuration information, the transmission of the sensing measurement data can be optimized according to the feature corresponding to the first measurement data and / or the sensing configuration information, so that the resource overhead of the transmission of the sensing measurement data can be reduced. BRIEF DESCRIPTION OF DRAWINGS

[0035] FIG. 1 is a block diagram of a wireless communication system to which embodiments of the present application can be applied;

[0036] FIG. 2 is a schematic diagram of a sensing mode to which embodiments of the present application can be applied;

[0037] FIG. 3 is an example diagram of a data plane protocol stack of a UE-RAN in the related art;

[0038] FIG. 4 is a schematic diagram of a time delay domain target range detection provided by embodiments of the present application;

[0039] FIG. 5 is a schematic diagram of a time delay-Doppler domain target range detection provided by embodiments of the present application;

[0040] FIG. 6 is a flowchart of a data transmission method provided by embodiments of the present application;

[0041] FIG. 7 is one of display interface diagrams of a probability density function provided by embodiments of the present application;

[0042] FIG. 8 is another of display interface diagrams of a probability density function provided by embodiments of the present application;

[0043] FIG. 9 is one of schematic diagrams of a data transmission flow provided by embodiments of the present application;

[0044] FIG. 10 is another of schematic diagrams of a data transmission flow provided by embodiments of the present application;

[0045] FIG. 11 is a flowchart of a data transmission method provided by embodiments of the present application;

[0046] FIG. 12 is a schematic diagram of a structure of a data transmission apparatus provided by embodiments of the present application;

[0047] FIG. 13 is a schematic diagram of a structure of a data transmission apparatus provided by embodiments of the present application;

[0048] FIG. 14 is a schematic diagram of a structure of a communication device provided by embodiments of the present application;

[0049] FIG. 15 is a schematic diagram of a structure of a terminal provided by embodiments of the present application;

[0050] FIG. 16 is a schematic diagram of a structure of a network side device provided by embodiments of the present application;

[0051] FIG. 17 is a schematic diagram of a structure of a network side device provided by embodiments of the present application. DETAILED DESCRIPTION

[0052] The technical solutions in embodiments of the present application will be clearly described below with reference to the drawings in embodiments of the present application. Obviously, the described embodiments are some but not all of embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art belong to the scope of protection of the present application.

[0053] The terms "first", "second", and the like in the specification are used for distinguishing between similar objects and not necessarily for describing a sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances and that the embodiments of the application described herein are capable of functioning in other sequences than the one described herein. The terms "comprise", "comprising", "include", "including", and the like are used herein to indicate the presence of stated features, steps or components, but not to the exclusion of one or more other features, steps or components. The terms "and / or" and "at least one of" used herein in the context of "A and / or B" and "at least one of A and B" should be interpreted as "A, B, or both A and B". The term "about" indicates that the value described by the term is within 20% of the stated value. The term "coupled" as used herein refers to either a direct connection or an indirect connection or an indirect connection through one or more intervening components or layers. The term "connected" as used herein refers to either a direct connection or an indirect connection through one or more intervening components or layers.

[0054] The term "indicate" in the present application can be a direct indication (or explicit indication) or an indirect indication (or implicit indication). The direct indication can be understood as that the sender explicitly informs the receiver of the specific information, the operation to be performed or the requested result, etc. in the sent indication. The indirect indication can be understood as that the receiver determines the corresponding information according to the indication sent by the sender, or judges and determines the operation to be performed or the requested result, etc. according to the judgment result.

[0055] It is worth noting that the technology described in the embodiments of the present application is not limited to Long Term Evolution (LTE) / LTE-Advanced (LTE-A) systems, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the described technology can be used in the above-mentioned systems and radio technologies, as well as in other systems and radio technologies. The following description describes a New Radio (NR) system for example purposes, and NR terminology is used in most of the following description, but these technologies can also be applied to systems other than NR systems, such as 6th Generation (6G) communication systems. th

[0056] ​FIG. 1 shows a block diagram of a wireless communication system to which embodiments of the present application can be applied. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 can be a terminal-side device such as a mobile phone, a Tablet Personal Computer, a Laptop Computer, a notebook computer, a Personal Digital Assistant (PDA), a palmtop computer, a netbook, an Ultra-mobile Personal Computer (UMPC), a Mobile Internet Device (MID), an Augmented Reality (AR) device, a Virtual Reality (VR) device, a robot, a wearable device, a flight vehicle, a Vehicle User Equipment (VUE), a shipboard device, a Pedestrian User Equipment (PUE), a smart home (a home device with a wireless communication function such as a refrigerator, a television, a washing machine, or furniture), a game console, a Personal Computer (PC), a kiosk, or a self-service machine. The wearable device includes a smart watch, a smart bracelet, a smart earphone, smart glasses, smart jewelry (a smart bracelet, a smart necklace, a smart ring, a smart necklace, a smart anklet, a smart necklace, etc.), a smart wristband, smart clothes, etc. The vehicle-mounted device can also be referred to as 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 embodiments of the present application. The network-side device 12 can include an access network device or a core network device. The access network device can also be referred to as a Radio Access Network (RAN) device, a radio access network function, or a radio access network unit. The access network device can include a base station, a Wireless Local Area Network (WLAN) Access Point (AP), or a Wireless Fidelity (WiFi) node, etc.The base station can 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 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 transmit / receive point (TRP), or some other suitable terminology in the art, and is not limited to a particular technical terminology, provided that the same technical effect is achieved. It should be noted that in the embodiments of the present application, only the base station in the NR system is taken as an example for introduction, and the specific type of the base station is not limited.

[0057] The core network device can also be referred to as a core network node, a core network function, or a core network network element, etc., which includes but is not limited to at least one of the following: a mobility management entity (MME), an access and mobility management function (AMF), a session management function (SMF), a user plane function (UPF), a policy control function (PCF), a policy and charging rules function (PCRF), an edge application server discovery function (EASDF), a unified data management (UDM), a unified data repository (UDR), a home subscriber server (HSS), a centralized network configuration (CNC), a network repository function (NRF), a network exposure function (NEF), a local NEF (L-NEF), a binding support function (BSF), an application function (AF), a location management function (LMF), a gateway mobile location center (GMLC), a network data analytics function (NWDAF), etc. It should be noted that only the core network device in the NR system is taken as an example for introduction in the embodiments of the present application, and the specific type of the core network device is not limited. If the name of the core network device mentioned in the embodiments of the present application changes in the subsequent protocol version (for example, 6G), it is also within the protection scope of the present application.

[0058] Optionally, the core network device can be implemented by one or more function modules in one device, or can be implemented by multiple devices together, and the embodiments of the present application do not make a specific limitation hereon. It can be understood that the above function modules can be network elements in a hardware device, can be software function modules running on a special hardware, or can be virtualized function modules instantiated on a platform (for example, a cloud platform).

[0059] For the convenience of understanding, some contents related to the embodiments of the present application are explained as follows:

[0060] 1. Integrated sensing and communication

[0061] Sensing and communication systems are usually designed separately and occupy different frequency bands. Integrated sensing and communication (ISAC) can enable sensing and communication systems to share the same frequency band and hardware, improve frequency efficiency, and reduce hardware cost. 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 of autonomous vehicles, indoor positioning and activity recognition based on Wi-Fi, communication and sensing of unmanned aircraft, extended reality (XR), integration of radar and communication, etc. Each application has different requirements, limitations, and regulatory issues. ISAC has attracted great research interest and attention from academia and industry.

[0062] ISAC can achieve integrated low-cost implementation of communication and sensing dual functions through hardware device sharing and software-defined functions. The main features are: 1) unified and simplified architecture, 2) reconfigurable and extensible functions, 3) efficiency improvement and cost reduction. The advantages of integrated communication and sensing are mainly in three aspects: 1) reduced device cost and size, 2) improved spectrum utilization, and 3) improved system performance.

[0063] In the embodiments of the present application, according to the technical upgrade of the communication system architecture, typical communication and sensing integrated scenarios that are expected to be realized are exemplarily shown in the following table.

[0064] In the embodiments of the present application, regarding sensing signals, according to the difference between the sensing signal sending node and the receiving node, there are six basic sensing modes, as shown in FIG. 2 (taking a base station as an example of an access network node), which specifically include:

[0065] 1) Base station self-emission and self-reception sensing: In this sensing mode, base station A transmits a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0066] 2) Inter-BS air interface sensing: Base station B receives the sensing signal transmitted by base station A, and performs sensing measurement;

[0067] 3) Uplink air interface sensing: Base station A receives the sensing signal transmitted by terminal A, and performs sensing measurement;

[0068] 4) Downlink air interface sensing: Terminal B receives the sensing signal transmitted by base station B, and performs sensing measurement;

[0069] 5) Terminal self-sensing: Terminal A transmits a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0070] 6) Inter-terminal Sidelink sensing: Terminal B receives the sensing signal transmitted by terminal A, and performs sensing measurement.

[0071] It is worth noting that each sensing method in Figure 2 takes one sensing signal transmitting node and one sensing signal receiving node as an example. In actual systems, one or more different sensing methods can be selected according to different sensing use cases and sensing requirements, and there can be one or more transmitting nodes and receiving nodes for each sensing method. The sensing targets in Figure 2 take people and vehicles as examples, and it is assumed that people and vehicles do not carry or install signal receiving / transmitting devices. However, the sensing targets of actual scenarios will be more diverse.

[0072] 2. Quantization method and source coding method

[0073] Quantization is a process of discretizing numerical values, so that numerical values can be represented by a certain number of bits. According to the characteristics of the quantization interval, it is divided into uniform quantization and non-uniform quantization. Uniform quantization, also known as linear coding, is characterized by the same interval (i.e. width) of each quantization interval. Assuming that the value range of the signal is [-X, Y], when the number of quantization bits is k, the quantization order is M = 2 k k. Then the quantization interval is Non-uniform quantization includes A-law, μ-law, etc. The principle of A-law and μ-law is to perform a nonlinear transformation on the input signal, so that under the same number of quantization bits, a certain range of input signals can have better quantization accuracy. For example, A-law has higher quantization accuracy when the input signal amplitude is small. A-law quantization is usually approximated by a broken line method, such as 13 broken line A-law companding, etc. Therefore, A-law and μ-law quantizers are also commonly known as A-law compression and μ-law compression.

[0074] The mu-law compression formula is y = ln(l + mu * x) / ln(l + mu), where x is the normalized quantizer input, and y is the normalized quantizer output. Normalization is to limit the data to be processed within a certain range after processing (by an algorithm). A common method is to divide the maximum value of the absolute value of the data set sample, so as to limit the numerical range to [-1, 1] or [0, 1]. The greater the value of mu, the higher the compression benefit of the small signal. The smaller the value of mu, the closer to uniform quantization.

[0075] Source coding is a transformation of source symbols for the purpose of improving the effectiveness of communication, or a transformation of source symbols for the purpose of reducing or eliminating source redundancy. Therefore, source coding is also called a data compression method. According to whether the original signal can be recovered without distortion, it is divided into lossless source coding and lossy source coding. Specifically, lossless source coding is to find a method according to the statistical characteristics of the source output symbol sequence, and to transform the source output symbol sequence into the shortest code word sequence, so that the average information amount carried by each code element of the latter is maximized, while ensuring that the original symbol sequence can be recovered without distortion.

[0076] The source coding theorem shows that (in the limit case, as the length of the independent and identically distributed random variable data stream tends to infinity) it is impossible to compress the data to a code rate (the average number of bits per symbol) smaller than the Shannon entropy of the source without losing information. However, it is possible to make the code rate arbitrarily close to the Shannon entropy with a very small probability of loss. Common lossless source coding methods include Huffman coding, arithmetic coding and other entropy coding methods, and lossy source coding includes MPEG-2 and H.264.

[0077] 3. Data plane

[0078] The data plane is a protocol stack for data collection and transmission within a mobile network. An example of a data plane protocol stack is shown in FIG. 3. The data plane is composed of core network data plane functions, radio access network data plane functions, and UE data plane functions, and has end-to-end connectivity. The data plane is responsible for data control, including data collection coordination, data collection configuration, or data transmission configuration, etc. The data plane is also responsible for data acquisition, data transmission, data preprocessing, data privacy and security, data analysis, data storage, or data services, etc.

[0079] 4. Perception-related indicators

[0080] The perception-related indicators include at least one of the following:

[0081] The first type: received power-related indicators, including at least one of the following indicators:

[0082] (1) The first index (the received power of the path associated with the sensing target): the linear average value (in W) of the received power of the path associated with the sensing target in the channel response measured for the first signal on the resource unit carrying the first signal. The resource unit is a time-domain and / or frequency-domain resource unit; the first signal can be a sensing signal such as a dedicated signal for sensing service or a communication signal such as a reference signal, a synchronization signal, etc.

[0083] The second type: the index related to the interference and noise power, including at least one of the following indexes:

[0084] The second index: the linear average value (in W) of the sum of the power of the path other than the path associated with the sensing target in the channel response of the first signal on the target resource and the linear average value of the interference and noise power of the other signal other than the first signal on the target resource or other resource (for example, the resource configured by the higher layer signaling);

[0085] The second index = the total received power - the first index; wherein the total received power can be represented as: the linear average value (in W) of the total received power (including the received power of the signal of the serving cell and non-serving cell, adjacent channel interference and thermal noise, etc.) on the target resource; or the total received power = RSSI*K1, K1 is a coefficient, the measurement resource of RSSI is the target resource or other resource (for example, the resource configured by the higher layer signaling), and the definition of the received signal strength indication (RSSI) is the same as 3GPP TS 38.215;

[0086] The third index: the linear average value (in W) of the interference and noise power of the other signal other than the first signal on the target resource or other resource (for example, the resource configured by the higher layer signaling); wherein the target resource can be a time-frequency domain resource unit carrying the first signal;

[0087] The third index = the total received power - the received power of the first signal; wherein the received power of the first signal is the reference signal receiving power (RSRP) of the first signal, and the definition of RSRP is the same as TS 38.215.

[0088] The fourth index: the linear average value (in W) of the power of the path other than the path associated with the sensing target in the channel response of the first signal on the target resource;

[0089] The fourth index = the RSRP of the first signal - the first index.

[0090] The third type: several indicators related to perceived SINR / SNR / SIR / Reference Signal Received Quality (RSRQ), including at least one of the following indicators:

[0091] The fifth indicator (the first perceived SINR / SNR / SIR) = the first indicator / the second indicator;

[0092] The sixth indicator (the second perceived SINR / SNR / SIR) = the first indicator / the third indicator;

[0093] The seventh indicator (the third perceived SINR / SNR / SIR) = the first indicator / the fourth indicator;

[0094] The eighth indicator (perceived RSRQ) = K2*the first indicator / total received power, K2 is a coefficient.

[0095] The above-mentioned various indicators are explained as follows:

[0096] The definition of the perceived target correlation radius and the calculation method of the various indicators:

[0097] The signal receiving device performs channel estimation based on the transmitted first signal X(k) and the received signal Y(k) corresponding to the first signal to obtain channel response information H(k) = Y(k) / X(k), where k = 0, 1, 2, …, K-1 represents the resource unit index. After the terminal obtains the channel response H(k), it is transformed into the first domain, and the target path and the Line of Sight (LOS) path are determined in the first domain. The target path or the LOS path can also refer to a specific sample in the first domain. In general, the LOS path can be considered as the first-arriving path when the LOS condition is met between the signal transmitting and receiving devices, and the target path refers to the path associated with the reflection of the perceived target in signal propagation. The terminal obtains the channel response H(k), and in the process of transforming it into the first domain, it also includes specific preprocessing (such as clutter elimination, smoothing filtering, etc.) of the channel data in the first domain, and then determines the target path in the first domain.

[0098] The first domain includes one of the following:

[0099] Delay dimension;

[0100] Doppler dimension;

[0101] Azimuth angle dimension;

[0102] Elevation angle dimension;

[0103] at least two of the delay dimension, the Doppler dimension, the azimuth angle dimension, and the elevation angle dimension. For example, delay-Doppler dimension, delay-Doppler-angle dimension, etc.

[0104] For example, H(f) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), which can be transformed into a delay dimension (first dimension) by inverse Fourier transform of H(f); for another example, H(f, t) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), and t = 0, 1, 2, …, M-1 represents a time domain sample point (e.g., an orthogonal frequency division multiplexing (OFDM) symbol index), which can be transformed into a delay-Doppler dimension (first dimension) by inverse Fourier transform along the frequency domain dimension and Fourier transform along the time domain dimension; for another example, H(f, t, s) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), t = 0, 1, 2, …, M-1 represents a time domain sample point (e.g., an OFDM symbol index), and s = 0, 1, 2, …, P-1 represents a spatial domain sample point (antenna index or port index), which can be transformed into a delay-Doppler-angle dimension (first dimension) by inverse Fourier transform along the frequency domain dimension, Fourier transform along the time domain dimension, and Fourier transform along the antenna domain dimension.

[0105] The target path refers to a part of the associated path that has passed through the reflection of the perceived target in signal propagation. The specific determination method can be according to the path in the channel information of the first domain that satisfies the first condition, and the first condition includes at least one of the following:

[0106] 1. The amplitude or power of the path exceeds a preset threshold or is within a preset interval range; for example, the preset threshold is x times the noise threshold, or the preset threshold is a constant false alarm rate (CFAR) detection threshold;

[0107] 2. Optionally, the path that satisfies the amplitude or power exceeding the preset threshold or being within the preset interval range can be further screened, for example, clustering processing is performed, at least one path that has passed through the reflection of the same target is selected as a target path, or a plurality of paths belonging to the same target are combined, for example, weighted combination to obtain a target path;

[0108] 3. The amplitude or power of the path is greater than the amplitude or power of other paths within a specific interval range of the first domain, that is, a peak value or a relative peak value in the first domain is searched as a target path, or described as X (X≥1) paths with the largest amplitude or power within the specific interval range of the first domain.

[0109] 4. Doppler of the path exceeds a preset threshold or is in a preset interval range;

[0110] 5. Time delay of the path exceeds a preset threshold or is in a preset interval range;

[0111] 6. Angle of the path exceeds a preset threshold or is in a preset interval range;

[0112] 7. Difference between amplitude or power of the path and that of a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an Intelligent Reflection Surface (RIS) / Backscatter / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0113] 8. Doppler difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0114] 9. Time delay difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0115] 10. Angle difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0116] 11. Amplitude or power or phase of the path meets a specific modulation rule, which is a modulation rule of a Tag / backscatter device or an RIS, i.e., a path associated with a perceived target can be a path modulated and reflected by a Tag / backscatter device or an RIS;

[0117] It should be noted that each of the above first conditions can also be based on a result of a period of time statistics; for example, a proportion of the above indicators (e.g., Doppler of the path, time delay of the path, etc.) exceeding a preset threshold or being in a preset interval range reaches a preset proportion within a preset time window, or a number of times that the above indicators (e.g., Doppler of the path, time delay of the path, etc.) exceed a preset threshold or are in a preset interval range reaches a preset number within a preset time window;

[0118] The preset threshold or the set interval range is sent by other devices to the receiving device, and is determined by other devices according to the sensing prior information or sensing demand. Alternatively, the preset threshold or the set interval range is determined by the receiving device according to the sensing prior information or sensing demand.

[0119] The sensing prior information or sensing demand can include the following information:

[0120] (1) Sensing service or sensing service type. The sensing service can be, for example, detection of whether a target exists, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, category division, radar cross section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, expression recognition, face recognition, respiratory monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environment reconstruction, topography, building / vegetation distribution detection, people flow or vehicle flow detection, crowd density or vehicle density detection, etc. The sensing service type can be classification of a plurality of different sensing services according to certain characteristics, for example, classification into detection type sensing services (for example, including intrusion detection and fall detection), parameter estimation type sensing services (distance, angle, and speed calculation), and recognition type sensing services (action recognition and identity recognition). The sensing service type can also be classified according to a sensing range (short-range sensing, medium-range sensing, and long-range sensing), according to a sensing precision (coarse-grained sensing and fine-grained sensing), according to power consumption / energy consumption, according to resource occupation, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory frequency can be determined according to the gender and age of a person (for example, male: 13-21 times / minute, female: 15-20 times / minute; adult: 12-20 times / minute, child: about 30-40 times / minute), which can be used as sensing prior information. For example, in the sensing demand, the corresponding service is highway scene target detection, and the target speed should be in the range of 60-150 km / h, which can be used as sensing prior information.

[0121] (2) Sensing target area: refers to a position area of a sensing object, or a position area that needs to be imaged or reconstructed. For example, a preset interval range of a time delay of a sensing target correlation radius is determined according to the approximate position / distance of the sensing object.

[0122] (3) Sensing object type: classification of sensing objects according to possible motion characteristics of the sensing objects. Each sensing object type includes information such as a motion speed range, a motion acceleration range, and a typical RCS range of a typical sensing object.

[0123] (4) The number of perceived targets; for example, the camera perception result can be used as a kind of perception prior information to obtain the number of perceived targets.

[0124] (5) The quality of service (QoS) of perception: the performance index of the perception of the target area or the perception object, including at least one of the following:

[0125] - the perception resolution (which can be further divided into: the ranging resolution, the angle resolution, the speed resolution, and the imaging resolution);

[0126] - the perception accuracy (which can be further divided into: the ranging accuracy, the angle accuracy, the speed accuracy, and the positioning accuracy);

[0127] - the perception range (which can be further divided into: the ranging range, the speed range, the angle range, and the imaging range);

[0128] - the perception time delay (the time interval from the sending of the perception signal to the obtaining of the perception result, or the time interval from the initiation of the perception demand to the obtaining of the perception result);

[0129] - the perception update rate (the time interval between two adjacent perception executions and the obtaining of the perception result);

[0130] - the detection probability (the probability of being correctly detected in the presence of the perception object);

[0131] - the false alarm probability (the probability of the false detection of the perception target in the absence of the perception object);

[0132] - the maximum number of perceivable targets.

[0133] Taking the time delay domain target path selection as an example, as shown in FIG. 4, the paths whose amplitudes exceed the preset threshold are determined according to the first condition 1, and the target paths 0, 1, and 2 are obtained through clustering processing and further screening;

[0134] Optionally, the multiple paths belonging to the same target after clustering can be combined, for example, weighted combination, to obtain the target path.

[0135] Alternatively, the target paths 0, 1, and 2 are obtained through local peak detection according to the first condition 2. That is, the path with the largest amplitude or power compared with X (X≥1) adjacent paths is found as the target path; optionally, before the local peak detection, the channel data in the time delay domain is preprocessed through smoothing filtering or clutter elimination.

[0136] Alternatively, taking the time delay-Doppler domain target path selection as an example, as shown in FIG. 5, the target paths 0 and 1 are obtained through local peak detection according to the first condition 2.

[0137] For frequency range 1, the reference point of the first indicator can be the antenna connector of the receiving device, such as a terminal. For frequency range 1, if the receiving device has multiple receiving channels, the first indicator measured and reported by the receiving device cannot be lower than the indicator of any single receiving channel. For frequency range 2, the first indicator measured by a certain receiving channel needs to be measured on the combined signal on multiple antenna elements corresponding to the receiving channel.

[0138] For example, another calculation method (optional) of the first indicator is as follows:

[0139] Optionally, when calculating the received power of the sensing target associated range, the difference between the power of the sensing target associated range in the first dimension and may be taken as the first indicator, where N1 represents the number of the sensing target associated ranges. is the average power of the multiple ranges other than the first range set in the first dimension.

[0140] For example, the calculation method of the received power of the first signal is as follows:

[0141] The received power of the first signal can be that, after the receiving device obtains the channel response H(k), the channel response H(k) is transformed to the first dimension, the first range set is determined in the first dimension, and then the power sum of all ranges in the first range set is calculated.

[0142] For example, another calculation method (optional) of the received power of the first signal is as follows:

[0143] The received power of the first signal can also be the difference between the power sum of all ranges in the first range set in the first dimension and , where N2 represents the number of ranges in the first range set.

[0144] For example, the calculation method of the total received power is as follows:

[0145] The total received power

[0146] For example, the calculation method of the second indicator is as follows:

[0147] The channel response H(k) is subjected to first filtering to obtain H filter1 (k), and then the first filtered received signal Y filter1 (k) is calculated according to H filter1 (k) and the first signal X(k), that is, Y filter1 (k) = Hfilter1 (k)X(k). Then subtract the received signal Y(k) after the first filtering process from the received signal Y(k). filter1 (k) thus obtaining the interference and noise signal Y σ1 (k), i.e., Y σ1 (k)=Y(k)-Y filter1 (k), and then calculate the second index.

[0148] The first filtering process is used to eliminate noise and interference in the first dimension, as well as paths associated with non-perceived targets. For example, the first filtering process sets the amplitude / power / intensity / energy of paths other than those associated with perceived targets in Figure 4 to zero. The channel response H after the first filtering process... filter1 (k) does not contain noise and interference, nor does it contain paths associated with non-perceived targets; it only contains paths associated with perceived targets.

[0149] For example, the third indicator is calculated as follows:

[0150] The channel response H(k) is processed by a second filter to obtain H. filter2 (k), then according to H filter2 The received signal Y after the second filtering process is calculated from the first signal X(k) and the first signal X(k). filter2 (k), i.e., Y filter2 (k)=H filter2 (k)X(k). Then subtract the received signal Y(k) after the second filtering process from the received signal Y(k). filter2 (k) thus obtaining the interference and noise signal Y σ2 (k), i.e., Y σ2 (k)=Y(k)-Y filter2 (k), and then calculate the third index.

[0151] The second filtering process can be noise interference suppression processing on the first dimension (e.g., setting the amplitude / power / intensity / energy of other paths besides the first path set in Figure 4 to zero), or MMSE filtering. The channel response H after the second filtering process... filter2 (k) does not contain noise and interference, but only contains paths from the first path set.

[0152] As an example, another (optional) way to calculate the third indicator is as follows:

[0153] Based on the average power of multiple paths outside the first path set in the first dimension The third index P was calculated. σ2 ,Right now Where N represents the number of sampling points in the first dimension.

[0154] It should be noted that if the receiving device judges multiple sensing targets, or the receiving device obtains the number of sensing targets according to sensing prior information or sensing requirements, the following methods can be used:

[0155] Method 1: Calculate the target indicators of each sensing target respectively. For example, in FIG. 4, the radii associated with each sensing target are determined respectively, and then the respective target indicators corresponding to each sensing target are calculated. At this time, there are two methods for calculating the second indicator corresponding to a sensing target (such as sensing target A): assuming that there are two sensing targets: A and B, the second indicator of sensing target A = total received power - first indicator of sensing target A; or, the second indicator of sensing target A = total received power - first indicator of sensing target A - first indicator of sensing target B; similarly, there are two methods for calculating the fourth indicator: assuming that there are two sensing targets: A and B, the fourth indicator of sensing target A = RSRP of the first signal - first indicator of sensing target A; or, the fourth indicator of sensing target A = RSRP of the first signal - first indicator of sensing target A - first indicator of sensing target B.

[0156] Method 2: Calculate one target indicator for multiple sensing targets. For example, in FIG. 4, the radii associated with any sensing target are determined, and then these radii are all taken as the radii associated with the sensing target; which is equivalent to regarding multiple sensing targets as a virtual sensing target, and then calculating the target indicator corresponding to the virtual sensing target.

[0157] 5. Sensing measurement data

[0158] The sensing measurement data in this embodiment is generated by the first device (UE or base station), and can also be referred to as sensing data or sensing result, etc. As for the sensing measurement data, one optional classification method is to divide the sensing measurement quantities into the following four categories (this specification focuses on the description of the measurement quantities, and can also be divided into three categories or not classified, etc., and the four categories are only for illustration). According to the relationship between the sensing measurement quantity and the sensing service, the third-level measurement quantity and the fourth-level measurement quantity are usually also referred to as the sensing result. The measurement results of the second-level and / or first-level measurement quantities are also referred to as sensing measurement data.

[0159] The sensing measurement quantity includes at least one of the following:

[0160] (1) First level measurement (received signal / raw channel information), including: received signal / channel response complex result, amplitude / phase, I / Q and their operation results (operations include addition / subtraction / multiplication / division, matrix addition / subtraction / multiplication, matrix transpose, trigonometric relationship operation, square root operation and power operation, etc., and threshold detection results of the above operation results, maximum / minimum value extraction results, etc.; operations also include Fast Fourier Transform (FFT) / Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) / Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform and digital filtering, etc., and threshold detection results of the above operation results, maximum / minimum value extraction results, etc.);

[0161] (2) Second level measurement (basic measurement), including: time delay, Doppler, angle, signal strength, and their multi-dimensional combination representation;

[0162] (3) Third level measurement (basic attribute / state), including: distance, speed, angle / orientation, Radar Cross Section (RCS), acceleration;

[0163] (4) Fourth level measurement (advanced attribute / state), including: spatial position, whether the target exists, trajectory, action, expression, vital signs, quantity, imaging result, weather, air quality, shape, material, composition.

[0164] 6、Sensing function

[0165] The sensing function node includes at least one of the following functions:

[0166] (1) Receive a sensing service request, and determine the required sensing measurement according to the sensing service request.

[0167] (2) Receive sensing measurement results (also known as sensing measurement data, i.e. the value of the sensing measurement), and generate sensing results (third level measurement)

[0168] (3) Send sensing results, and respond to the sensing service request

[0169] (4) Control of sensing service quality (QoS), i.e. control of sensing-related nodes to meet the sensing service QoS requirements.

[0170] (5) Determine the sensing signal transmitting or receiving node or sensing assistant node. The sensing signal transmitting or receiving node in the mobile communication system includes network equipment (such as base station) and user equipment (User Equipment, UE, i.e. terminal) (such as mobile phone). The sensing assistant node refers to the sensing information of other sensors and the like, geographic location information and the like for providing sensing assistance to improve the performance of wireless sensing.

[0171] (6) Determine the sensing link or sensing mode. The sensing link can include Uu link (base station transmission / UE reception or base station reception / UE transmission), sidelink (inter-UE transmission and reception), echo link (base station self-transmission and self-reception, UE self-transmission and self-reception), inter-base station transmission and reception link (inter-base station transmission and reception); the sensing mode can include base station transmission / UE reception, UE transmission / base station reception, base station self-transmission and self-reception, inter-UE transmission and reception, inter-base station transmission and reception, and UE self-transmission and self-reception.

[0172] (7) Determine the sensing signal. The potential sensing signal includes reference signal and data signal. The reference signal can be a communication reference signal or a sensing dedicated reference signal.

[0173] (8) Determine the time-frequency resource used for sensing. The potential sensing resource includes unused time-frequency resource in communication (such as guard band), commonly used time-frequency resource in communication (such as reference signal or data signal), and sensing dedicated time-frequency resource. Further, the configuration of the sensing signal needs to be determined. The potential configuration includes time, frequency and spatial domain resource information of the sensing signal. If the node determining the sensing time-frequency resource is not the transmitting node of the sensing signal, the sensing signal configuration is sent to the sensing signal transmitting node.

[0174] (9) Determine the configuration of the sensing measurement quantity. The potential configuration includes the indication of the sensing signal to be measured, the number or time of the sensing signal to be measured, the reporting indication of the measurement result (i.e. sensing measurement data) and the like. If the node determining the sensing measurement quantity configuration is not the receiving and measuring node of the sensing signal, the sensing measurement quantity configuration is sent to the sensing signal receiving node.

[0175] (10) Determine and configure the transmission channel for reporting the sensing measurement result, including establishing, modifying or releasing the transmission channel and the like.

[0176] (11) determining the AMF, when the network side determines the perception function node according to the geographical range of the requested perception service and the geographical range of the perception service provided by the perception function node, the perception function node needs to determine the AMF in at least one of the following cases: 1) when the UE is a perception signal sending node or a perception signal receiving node or a perception auxiliary node, and the perception target is a certain UE, the perception function node selects the AMF based on the geographical area of the required perception, and according to the tracking area identity (TAI) of the AMF requested from the NRF, and / or the AMF ID / location, etc.; 2) when the perception data needs to be transmitted through the AMF (for example, defined as a non-access layer (Non Access Stratum, NAS) message or a NAS layer as a transmission bearer protocol layer of the perception data), the perception function node selects the AMF based on the geographical position information (such as tracking area (Tracking Area, TA), etc.) of the perception node of the required transmission data, and according to the TAI of the AMF requested from the NRF, and / or the AMF ID / location, etc.; 3) when the perception target is a 3GPP UE, the perception function node determines the AMF according to the UE identifier (such as the AMF UE NGAP ID), etc.

[0177] The data transmission method, device and related equipment provided by the embodiments of the present application will be described in detail below in combination with the drawings and some embodiments and application scenarios.

[0178] Referring to FIG. 6, FIG. 6 is a flowchart of a data transmission method provided by an embodiment of the present application, as shown in FIG. 6, the data transmission method comprises the following steps:

[0179] Step 101, the first device performs a first operation on the first measurement data based on at least one of the first information and the perception configuration information, to obtain second measurement data, the first information being used to represent the characteristics corresponding to the first measurement data, the first measurement data being obtained based on perception measurement;

[0180] Step 102, the first device sends the second measurement data to the second device.

[0181] Wherein, the first device can obtain the first measurement data (i.e. perception measurement data) based on perception measurement; or, the first measurement data can be obtained by other devices based on perception measurement; the present application does not limit this.

[0182] The first operation can include: first processing; normalization; quantization; source coding; and the like, and embodiments of the present application do not limit the first operation. The first processing can be used to reduce the data amount of the first measurement data. For example, the measurement data after the first processing is the difference between the first part of data and the second part of data, the first part of data is part of the measurement data in the first measurement data, and the second part of data is the measurement data in the first measurement data except the first part of data.

[0183] It should be noted that the first measurement data and the second measurement data can be considered as perception measurement data, the first measurement data can be considered as perception measurement data before processing (or optimization), and the second measurement data can be considered as perception measurement data after processing (or optimization). The perception measurement data can be briefly described as measurement data.

[0184] In related technologies, the perception measurement data of the first device (such as a terminal or a base station) under the communication and perception fusion usually needs to be transmitted to the second device (such as a perception function node) for processing. In order to reduce the overhead of perception, it is necessary to reduce the data amount of the perception measurement data to be transmitted as much as possible. At the same time, it is also necessary to ensure the quality of service (such as the accuracy of perception) of perception. The functions of the quantization method and the source coding method are to convert the analog signal of the source into a digital signal to realize the digital transmission of the analog signal, and to compress data. In related technologies, the perception measurement data transmission parameters of the UE or the base station are usually determined by other devices, and it is difficult to support more appropriate parameters according to the real-time characteristics of the perception measurement data. Furthermore, related technologies do not involve how to optimize the transmission of the perception measurement data. Embodiments of the present application can optimize the transmission of the perception measurement data through the first operation. The optimization direction can be to achieve higher accuracy of the perception measurement data under the same data amount of the perception measurement data. The optimization direction can also be to achieve a smaller data amount of the perception measurement data under the same accuracy of the perception measurement data.

[0185] The processing schemes (i.e., the schemes of the first operation) of the perception measurement data corresponding to different perception use cases are different. According to the characteristics of the required perception measurement data, the perception use cases can be divided into the following categories:

[0186] (1) Environment reconstruction type. The feature of this type is that the perception result can be calculated according to the perception measurement data of a single time domain symbol. For example, the perception result is calculated based on the perception measurement data on a single OFDM symbol, and multiple OFDM symbol perception measurement data joint processing is not required.

[0187] (2) Only speed measurement or only distance measurement type. The feature of this type is that the perception result can be calculated according to the perception measurement data of a single antenna, and multiple antenna data perception measurement data joint processing is not required for angle estimation.

[0188] (3) Point cloud or trajectory type, which is characterized by calculating the perception result according to the perception measurement data of multiple time domain symbols and multiple antennas. For example, the trajectory needs to identify the moving target based on the Doppler estimation, and the position (such as the position coordinates) of the perceived target is obtained through the distance estimation and the angle. The point cloud usually includes three-dimensional coordinates (x, y, z), velocity and / or signal reflection intensity. If the perceived target in the perception use case is a moving target or a stationary target, the three-dimensional coordinates and the velocity can be used to represent the moving target.

[0189] Since the process of obtaining the perception result by processing the perception measurement data is usually irrelevant to the absolute size of the data, the relative size relationship of the data in the data set required for the perception result calculation needs to be preserved in the process of the perception measurement and the perception data transmission. For example, for the point cloud or trajectory type perception, the value size relationship of the perception measurement data of multiple antennas and multiple time domain symbols (such as OFDM symbols) needs to be preserved in the process of the perception measurement data transmission. That is, the perception measurement data that needs to be jointly processed can be processed as a data set in the process of normalization or quantization. If the time delay of the perception measurement data is considered, when the perception measurement data that needs to be jointly processed is divided into multiple data sets for processing, the relative size relationship between the data sets needs to be transmitted.

[0190] In the following, the set of perception measurement data that needs to be jointly processed in the first measurement data obtained by the perception measurement is referred to as the first data set. If the perception is continuously performed (such as trajectory tracking) in a period of time, the UE or the base station as the perception signal receiving node (such as the first device) needs to report the perception measurement data multiple times. The UE or the base station in the embodiment of the present application can determine the related parameters according to the perception configuration information, generate the perception measurement data, and send the perception measurement data.

[0191] In the embodiment of the present application, the first operation can include at least one of the first processing, normalization, quantization and source coding.

[0192] The first processing can be processing of the perception measurement data for the purpose of reducing the numerical range of the perception measurement data or reducing the data amount of the perception measurement data. Take the first processing based on the reference data as an example for illustration. Assuming that the number of receiving antennas is N, the number of OFDM symbols of this time perception measurement is M, and the number of subcarriers on each OFDM symbol is X. Here, taking the frequency domain channel estimation H or the time delay Doppler as an example of the perception measurement data. Then the channel estimation H on each antenna is a two-dimensional complex matrix of M columns and X rows. The corresponding time delay Doppler is also a two-dimensional complex matrix of M columns and X rows through processing (such as 2-dimensional Fast Fourier transform (FFT)), where each row corresponds to a different time delay, and each column corresponds to a different Doppler. Since the perception measurement data of the channel estimation H or the time delay Doppler is a complex number, it can be represented by amplitude and phase, or by real part and imaginary part. In order to facilitate the description, the amplitude and phase mode is referred to as mode 1, and the real part and imaginary part mode is referred to as mode 2. Then for the perception use case of environmental reconstruction, the first data set is composed of N×X perception measurement data of N antennas and X subcarriers of each OFDM symbol. For the perception use case of only speed measurement or only distance measurement, the first data set is composed of M×X perception measurement data of M OFDM symbols of each antenna. For the perception use case of point cloud or trajectory tracking, the first data set is composed of N×M×X perception measurement data of N antennas and M OFDM symbols.

[0193] The smaller the numerical range of the data is, the fewer the number of bits required to achieve the same quantization precision is. Therefore, the data amount of the perception measurement data can be reduced by configuring the first device (such as a UE or a base station) to perform the first processing.

[0194] The first processing can include at least one of the following:

[0195] Method (1): Determine the first data subset (denoted as A) in the first data set (denoted as S1) as the reference data set. The data set with the first data subset as the reference data set is referred to as the second data set. Here, the second data set is the data (denoted as B, B=S1-A) in the first data set other than the first data subset. The difference between the data of the second data set and the reference data set (i.e. the first data subset) is taken as the third data set (denoted as B'). For example, if the perception measurement data set Q j is taken as the first data subset A, then B=S1-Q j . That is, B is the perception measurement data set excluding antenna j. For any Q i (in which i is an integer in the interval [1, N] excluding j), Q i The corresponding data set in the set B' is denoted as Q' iQ' in the third data set B' i = Q i - Q j In the foregoing example, the perception measurement data of a certain antenna is taken as the first data subset, which is used as the reference data. According to the characteristics of the perception measurement data, the perception measurement data corresponding to a certain OFDM symbol, a certain subcarrier, a certain time delay value, or a certain Doppler value can also be taken as the reference data Q j In addition, if the perception measurement data is represented in the form of amplitude and phase, the first processing is usually performed on the amplitude.

[0196] Method (2): The first data set at time t1 (denoted as S1 t1 ) is determined as the reference data set. The first data set at time t2 (denoted as S1 t2 ) with the first data set as the reference data set is called the second data set. The difference between the data of the second data set and the parameter data set (i.e., S1 t1 ) is the third data set. Here, the third data set is denoted as S', S' = S1 t2 - S1 t1 According to whether the perception measurement data of the reference data set S1 t1 contains the perception target, the following two cases can be divided:

[0197] (a) When the perception measurement data of the reference data set S1 t1 does not contain the perception target, for example, the network configures the UE or the base station to perform perception measurement to obtain S1 t1 under the condition that there is no perception target according to the relevant information (such as the prior information of the position range of the perception target). S1 t1 is clutter. Then, the method described by method (2) can eliminate the clutter and improve the accuracy of the perception measurement data.

[0198] (b) When the perception measurement data of the reference data set S1 t1 contains the perception target, and the time interval between t1 and t2 satisfies the case that the two perception measurement data sets have correlation. The method described by method (2) can reduce the numerical range of the perception measurement data. Then, under the condition of the same quantization accuracy, fewer bits can be used. Or when the same number of quantization bits is used, the perception measurement data has higher accuracy by the method described by method (2). Moreover, the method described by method (2) can also have a large number of values close to zero, and then this part of the data close to zero can not be transmitted.

[0199] In addition, normalization, quantization or source coding refers to the processing of perception measurement data for the purpose of discretization or data compression of perception measurement data. An example of normalization, quantization or source coding with trajectory tracking is described as follows. If it is another perception use case, the data set of perception measurement data and whether to transmit the maximum value information in the normalization process can be determined according to the characteristics of the perception measurement data required by the perception use case.

[0200] Suppose that in this perception use case, M OFDM symbols of N antennas are configured for perception measurement, and X subcarriers on each OFDM symbol are used for perception. Here, frequency domain channel estimation H or delay Doppler is taken as an example of perception measurement data. Since the perception measurement data of channel estimation H or delay Doppler is a complex number, it can be represented by amplitude and phase, or by real and imaginary parts. For the purpose of description, the amplitude and phase mode is referred to as mode 1, and the real and imaginary part mode is referred to as mode 2. The data set composed of N x M x X perception measurement data of M OFDM symbols of N antennas is referred to as S1. The data set composed of M x X perception measurement data of M OFDM symbols of each antenna is referred to as Q i , where i is the serial number of the antenna of 1, 2, …, N. The subsequent data set is divided by the antenna dimension as an example, and can also be divided by other dimensions (such as OFDM symbols, etc.).

[0201] In order to meet the requirements of the trajectory tracking perception use case, the perception measurement data can be normalized and / or quantized by the following method before transmission.

[0202] Method 1: S1 is taken as the data set for processing and transmission

[0203] (1) Normalization

[0204] The maximum value in S1 is obtained. If the perception measurement data is represented by mode 1, the maximum value is the maximum value of all amplitude values in S1. That is, A max = max (A1, A2, …, A y ), where y = N x M x X. If the perception measurement data is represented by mode 2, the maximum value is the maximum value of the absolute values of the real and imaginary parts in S1. The latter maximum value is the maximum value of the real part and the maximum value of the absolute value of the imaginary part, and then the real part and the imaginary part are processed separately. If the perception measurement data is a real number, it is similar to the processing of the real part or the imaginary part respectively.

[0205] Each perception measurement data in the S1 set is divided by A maxThe range of the amplitude value is controlled to be [0, 1], i.e. the maximum value is 1. Alternatively, each of the perception measurement data in the set S1 is divided by the maximum value of the aforementioned manner 2, and the numerical range is controlled to be [-1, 1], i.e. the maximum value is 1 and the minimum value is -1.

[0206] (2) Quantization

[0207] According to the number of quantization bits, the amplitude and the phase are respectively quantized, and the potential methods include uniform quantization, A-law or μ-law, etc. The amplitude and the phase can adopt the same quantization method or different quantization methods.

[0208] Alternatively, according to the number of quantization bits, the real part and the imaginary part are quantized, and the potential methods include uniform quantization, A-law or μ-law, etc. The real part and the imaginary part can adopt the same quantization method or different quantization methods. Since the characteristics of the real part and the imaginary part are usually similar, the same quantization method is generally adopted.

[0209] (3) Source coding (optional)

[0210] According to the distribution characteristics of the quantized data, etc., it is determined whether to perform source coding. For example, as shown in FIG. 7, the numerical distribution of the real part or the imaginary part is concentrated around the value 0, and thus the number of bits required for each perception measurement data can be reduced through source coding.

[0211] If source coding is performed, the quantized data is source coded.

[0212] (4) Transmission of the perception measurement data according to the transmission resource configuration

[0213] Method two: the data set is processed and transmitted as Q i , i.e. from Q1to Q N , and the processing is performed on each data set.

[0214] (1) Normalization

[0215] The maximum value in Q i is obtained. If the perception measurement data is represented in manner 1, the maximum value is the maximum value of all the amplitude values in Q i . That is, A i-max = max (A1, A2, … A z ), where z = M x X. If the perception measurement data is represented in manner 2, the maximum value is the maximum value of the real part and the imaginary part in Q i . The latter maximum value is the maximum value of the real part and the maximum value of the imaginary part, and then the real part and the imaginary part are processed separately. If the perception measurement data is a real number, it is processed similarly to the real part or the imaginary part.

[0216] Q iEach of the perception measurement data in the set is divided by A i-max The range of the amplitude value is controlled in [0, 1], i.e. the maximum value is 1. Or the Q i Each of the perception measurement data in the set is divided by the maximum value of the aforementioned way 2, and the numerical range is controlled in [-1, 1], i.e. the maximum value is 1 and the minimum value is -1.

[0217] (2) Quantization

[0218] According to the number of quantization bits, the amplitude and the phase are quantized respectively, and the potential methods include uniform quantization, A-law or μ-law, etc. Among them, the amplitude and the phase can adopt the same quantization method, or different quantization methods.

[0219] Or according to the number of quantization bits, the real part and the imaginary part are quantized, and the potential methods include uniform quantization, A-law or μ-law, etc. Among them, the real part and the imaginary part can adopt the same quantization method, or different quantization methods. Since the characteristics of the real part and the imaginary part are usually similar, the same quantization method is generally adopted.

[0220] (3) Source coding (optional)

[0221] According to the distribution characteristics of the quantized data, etc., it is determined whether to perform source coding. For example, as shown in FIG. 8, the numerical distribution of the amplitude is concentrated in the values near 0, so that the number of bits required for each perception measurement data can be reduced through source coding. As shown in FIG. 8, the phase is uniformly distributed between [-π, π], so that it is difficult to obtain gain through entropy coding, etc.

[0222] If source coding is performed, the quantized data is source coded.

[0223] (4) The perception measurement data is transmitted according to the transmission resource configuration. In this method, the transmitted perception measurement data not only includes the quantized perception measurement data or the source coded perception measurement data, but also includes the maximum value A i-max used in the normalization process. i-max One method is to transmit A i-max and the aforementioned perception measurement data. Another method is to take one of A 1-max as a reference value, for example, to take A i as a reference value, so that the reference value does not need to be transmitted. The ratio of A 2-max to the reference value and the aforementioned perception measurement data is transmitted.

[0224] In the embodiments of the present application, the first device performs a first operation on the first measurement data based on at least one of the first information and the perception configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on perception measurement; and the first device sends the second measurement data to the second device. In this way, the first measurement data obtained based on perception measurement is first operated based on at least one of the first information and the perception configuration information before transmission, which can consider the feature corresponding to the first measurement data and / or optimize the transmission of the perception measurement data according to the perception configuration information, thereby reducing the resource overhead of transmitting the perception measurement data.

[0225] Optionally, the first information includes at least one of the following:

[0226] a probability distribution feature parameter of the first measurement data;

[0227] first indication information determined based on the first measurement data, wherein the first indication information is used to indicate a target change degree, the target change degree is a change degree of an output data range of the first processing relative to an input data range, and the first operation includes the first processing;

[0228] a perception-related index value determined based on the first measurement data;

[0229] a number of reported measurement data determined based on the first measurement data;

[0230] a data amount of reported measurement data determined based on the first measurement data;

[0231] a quantization bit number of the first measurement data;

[0232] a quantization error of the first measurement data;

[0233] an average bit number corresponding to the first measurement data.

[0234] The probability distribution feature parameter of the first measurement data can be understood as a probability distribution feature parameter of the perception measurement data, and potential probability distribution features are as follows:

[0235] uniformly distributed or approximately uniformly distributed in a certain interval. For example, the difference between the maximum value and the minimum value of the probability density in a certain interval is less than a threshold, and the probability distribution diagram is shown in the probability distribution curve of the phase described above;

[0236] centrally distributed in a certain interval. For example, the probability density in a certain interval is greater than a threshold, and the probability distribution diagram is shown in the probability distribution curve of the real part, the imaginary part or the amplitude shown in FIG. 7.

[0237] The first indication information is used to indicate a target change degree, which can be considered as a change degree of an input data range and an output data range of the first processing, for example, a reduction degree.

[0238] The perception-related index value determined based on the first measurement data can include a perception SINR, SNR, SIR, or RSRQ-related index.

[0239] The number of reported measurement data determined based on the first measurement data can be understood as the number of perception measurement data, that is, the number of perception measurement data transmitted by one perception measurement report.

[0240] The data amount of reported measurement data determined based on the first measurement data can be understood as the data amount of perception measurement data, that is, the length of perception measurement data transmitted by one perception measurement report.

[0241] The quantization bit number of the first measurement data can be understood as the bit number of perception measurement data quantization, that is, the bit number used by one perception measurement data quantization.

[0242] The average bit number corresponding to the first measurement data can be understood as the average bit number of perception measurement data. When at least one of the first processing or source coding is performed on the perception measurement data after quantization, the average bit number of perception measurement data refers to the average bit number of perception measurement data transmitted after the above process.

[0243] In this embodiment, the first measurement data obtained by the perception measurement is subjected to the first operation based on the above first information and then transmitted, which can optimize the transmission of perception measurement data by considering the characteristics corresponding to the first measurement data, thereby reducing the resource overhead of transmitting perception measurement data.

[0244] Optionally, the perception configuration information includes at least one of the following:

[0245] A threshold value of the perception-related index;

[0246] A maximum number of reported measurement data;

[0247] A maximum data amount of reported measurement data;

[0248] A maximum value of the quantization bit number of reported measurement data;

[0249] A maximum quantization error of reported measurement data;

[0250] A maximum value of the average bit number corresponding to reported measurement data;

[0251] A usable quantization scheme;

[0252] Available normalization schemes;

[0253] Available source coding schemes;

[0254] Triggering events for quantization;

[0255] Triggering events for the first processing;

[0256] Triggering events for source coding.

[0257] The threshold value of the perception-related index can include a threshold value of a perception-related index such as a perception SINR, a SNR, an SIR, or an RSRQ.

[0258] The maximum number of reported measurement data can be understood as a maximum number of perception measurement data, i.e., a maximum number of perception measurement data transmitted by one perception measurement report.

[0259] The maximum data amount of reported measurement data can be understood as a maximum data amount of perception measurement data, i.e., a maximum length such as 8000 bits of perception measurement data transmitted by one perception measurement report.

[0260] The maximum value of the quantization bit number of reported measurement data can be understood as a maximum value of the quantization bit number of perception measurement data, i.e., a maximum bit number that can be used for quantization of one perception measurement data.

[0261] The maximum value of the average bit number corresponding to the reported measurement data can be understood as a maximum value of the average bit number of perception measurement data, i.e., a maximum value of the average bit number of perception measurement data transmitted after the first processing or the source coding.

[0262] In an embodiment, the first device can select a quantization scheme based on available quantization schemes in the perception configuration information.

[0263] In an embodiment, the first device can select a normalization scheme based on available normalization schemes in the perception configuration information.

[0264] In an embodiment, the first device can select a source coding scheme based on available source coding schemes in the perception configuration information.

[0265] In an embodiment, the first device can determine whether to perform quantization based on whether a triggering event for quantization in the perception configuration information is satisfied.

[0266] In an embodiment, the first device can determine whether to perform the first processing based on whether a triggering event for the first processing in the perception configuration information is satisfied.

[0267] In an implementation, the first device can determine whether to perform source coding based on whether a trigger event of source coding in the awareness configuration information is satisfied.

[0268] In this implementation, the first measurement data obtained by the awareness measurement is transmitted after the first operation based on the awareness configuration information, which can optimize the transmission of the awareness measurement data according to the awareness configuration information, thereby reducing the resource overhead of the transmission of the awareness measurement data.

[0269] Optionally, the threshold value of the awareness-related index comprises at least one of:

[0270] a minimum value of the awareness-related index;

[0271] a threshold value of a difference between the awareness-related index corresponding to the measurement data after quantization and the awareness-related index corresponding to the measurement data before quantization;

[0272] a threshold value of a difference between the awareness-related index corresponding to the measurement data after source coding and the awareness-related index corresponding to the measurement data before source coding.

[0273] The minimum value of the awareness-related index can be a minimum value of awareness SINR, SNR, SIR or RSRQ or a minimum awareness SINR, SNR, SIR or RSRQ. The first device (such as a UE or a base station) can obtain the awareness SINR, SNR, SIR or RSRQ of the awareness measurement data (the first measurement data or the second measurement data) according to the protocol-defined awareness SINR, SNR, SIR or RSRQ calculation method and / or network configuration information (such as awareness target index, awareness noise range), thereby determining whether the awareness measurement data satisfies the requirement of the awareness configuration information.

[0274] The perception-related index corresponding to the quantized measurement data can refer to quantizing the measurement data and then calculating the perception-related index. The threshold value of the difference between the perception-related index corresponding to the quantized measurement data and the perception-related index corresponding to the measurement data before quantization can refer to a threshold value of the deterioration of the perception SINR, SNR, SIR or RSRQ of the measurement data before quantization (i.e., quantization input data) and the measurement data after quantization (i.e., quantization output data) meeting a preset condition, for example, the deterioration of the perception SNR being less than the threshold value. For example, when the perception SNR is greater than 15 dB, the deterioration of the perception SNR is not more than 3 dB, and when the perception SNR is less than 5 dB, the deterioration of the perception SNR is not more than 1 dB. One use method of this parameter is that the first device (such as a UE or a base station) can determine whether the change of the perception SINR, SNR, SIR or RSRQ of the quantization input data and the perception SINR, SNR, SIR or RSRQ of the quantization output data meets the requirement of the perception configuration information, and then determine which quantization method to use and how many quantization bits are used.

[0275] The perception-related index corresponding to the source-encoded measurement data can refer to source-encoding the measurement data and then calculating the perception-related index. The threshold value of the difference between the perception-related index corresponding to the source-encoded measurement data and the perception-related index corresponding to the measurement data before source-encoding can refer to a threshold value of the deterioration of the perception SINR, SNR, SIR or RSRQ of the measurement data before source-encoding (i.e., source-encoding input data) and the measurement data after source-encoding (i.e., source-encoding output data) meeting a preset condition, for example, the deterioration of the perception SNR being less than the threshold value. For example, when the perception SNR is greater than 15 dB, the deterioration of the perception SNR is not more than 3 dB, and when the perception SNR is less than 5 dB, the deterioration of the perception SNR is not more than 1 dB. One use method of this parameter is that when the first device (such as a UE or a base station) uses lossy source encoding, the UE or the base station can determine whether the change of the perception SINR, SNR, SIR or RSRQ of the source-encoding input data and the perception SINR, SNR, SIR or RSRQ of the source-encoding output data meets the requirement of the perception configuration information, and then determine which source-encoding method to use.

[0276] Optionally, the first operation includes at least one of the following:

[0277] The first processing includes at least one of the following:

[0278] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the first measurement data, and the second part of data being measurement data other than the first part of data in the first measurement data.

[0279] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing first processing on the first measurement data to obtain measurement data after the first processing, and the second measurement data includes the measurement data after the first processing.

[0280] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing first processing on the first measurement data to obtain measurement data after the first processing; performing normalization processing on the measurement data after the first processing to obtain normalized measurement data; and the second measurement data includes the normalized measurement data.

[0281] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing first processing on the first measurement data to obtain measurement data after the first processing; performing normalization processing on the measurement data after the first processing to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; and the second measurement data includes the quantized measurement data.

[0282] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing first processing on the first measurement data to obtain measurement data after the first processing; performing normalization processing on the measurement data after the first processing to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; performing source coding processing on the quantized measurement data to obtain source coded measurement data; and the second measurement data includes the source coded measurement data.

[0283] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing normalization processing on the first measurement data to obtain normalized measurement data; and the second measurement data includes the normalized measurement data.

[0284] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing normalization processing on the first measurement data to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; and the second measurement data includes the quantized measurement data.

[0285] In an implementation, the first operation on the first measurement data to obtain the second measurement data can include: performing normalization processing on the first measurement data to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; and performing source coding processing on the quantized measurement data to obtain source coded measurement data; and the second measurement data includes the source coded measurement data.

[0286] In this implementation, at least one of the first processing, normalization, quantization, and source coding is performed on the first measurement data obtained by the perception measurement before transmission, which can optimize the transmission of the perception measurement data, reduce the data volume of the transmitted perception measurement data, and thus reduce the resource overhead for transmitting the perception measurement data.

[0287] Optionally, the first operation on the first measurement data by the first device to obtain the second measurement data based on at least one of the first information and the perception configuration information includes:

[0288] The first device determines the second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information.

[0289] The first device performs the first operation on the first measurement data based on the second information to obtain the second measurement data.

[0290] The second information is used to indicate at least one of the following:

[0291] whether to perform the first processing, whether to perform quantization, a quantization scheme, a quantization object, a quantization bit number, whether to perform normalization, a normalization scheme, whether to perform source coding, and a source coding scheme.

[0292] The second information can be used to describe a scheme of the first operation.

[0293] The second information is used to indicate whether to perform the first processing, which can be understood as that the second information includes a first processing indication used to indicate whether to perform the first processing. If the first processing is performed, the second information can further include a reference data indication and a second data set indication. The reference data indication is used to indicate reference data used in the first processing, and the second data set indication is used to indicate a second data set used in the first processing.

[0294] The second information is used to indicate a quantization scheme (or expressed as a quantization method), which can be understood as that the second information includes a quantization scheme indication. For example, 01 indicates uniform quantization, 10 indicates A-law, 11 indicates mu-law, etc. Optionally, the second information can also include a quantization parameter required by the quantization scheme, such as a mu value, etc. For example, the quantization scheme can also be indicated by an identifier corresponding to a mapping table used for quantization.

[0295] The second information is used to indicate a quantization object, which can be understood as that the second information includes a quantization object (object) indication, indicating the object to be quantized. The quantization object can be at least one of a first-level measurement quantity, a second-level measurement quantity, a third-level measurement quantity, and a fourth-level measurement quantity; and / or, when the perception measurement data is a complex number, the quantization object is at least one of an amplitude, a phase, a real part, and an imaginary part. The amplitude and the phase can be quantized, or the real part and the imaginary part can be quantized according to the characteristics of the perception measurement data, etc. For example, the quantization method can be indicated by an information element (IE). For example, 0 indicates the amplitude and the phase, and 1 indicates the real part and the imaginary part.

[0296] The second information can include a quantization bit number, which is used to indicate a quantization bit number of the perception measurement data. The quantization bit number can include at least one of a total bit number, an amplitude quantization bit number, a phase quantization bit number, a real part quantization bit number, and an imaginary part quantization bit number.

[0297] The second information is used to indicate whether to perform source coding, which can be understood as that the second information includes a source coding indication, indicating whether to perform source coding. If source coding is performed, the optional second information can also include a source coding scheme indication. For example, the source coding scheme (or expressed as a source coding method) can be indicated by an information element (IE). For example, 01 indicates Huffman coding, 10 indicates arithmetic coding, 11 indicates source coding based on an AI model, etc.

[0298] The first device determines the second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information, which can include that the first device determines the second information corresponding to the first measurement data based on whether the first information meets a reporting requirement corresponding to the perception configuration information; or, the first device determines the second information corresponding to the first measurement data based on whether the first information meets a predefined reporting requirement; or, the first device determines the second information corresponding to the first measurement data based on whether the first information meets a reporting requirement determined according to a perception requirement; etc., which is not limited by the embodiments of the present application.

[0299] In an implementation, the first device (e.g., a UE or a base station) determines second information (e.g., second parameters) according to first information (e.g., first parameters) of the perception measurement data (e.g., first measurement data) and perception configuration information, which enables the parameters of the aforementioned first processing, normalization, quantization, or source coding to be more matched to real-time features of the perception measurement data.

[0300] In this implementation, the second information corresponding to the first measurement data is determined according to at least one of the first information and the perception configuration information, the first operation is performed on the first measurement data according to the determined second information to obtain second measurement data, and the second measurement data obtained through the first operation is transmitted, which can optimize the transmission of the perception measurement data and reduce the data volume of the transmitted perception measurement data, thereby reducing the resource overhead of the transmission of the perception measurement data.

[0301] Optionally, the first device determines the second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information, including:

[0302] The first device determines the second information corresponding to the first measurement data based on whether the first information meets the reporting requirement corresponding to the perception configuration information.

[0303] For example, the reporting requirement corresponding to the perception configuration information can include a threshold value of a perception-related index, and the first device can determine whether the value of the perception-related index meets the threshold value based on the first measurement data. When the threshold value is not met, the second information is determined, so that the second measurement data obtained by performing the first operation on the first measurement data based on the second information can meet the threshold value of the perception-related index.

[0304] For example, the reporting requirement corresponding to the perception configuration information can include a maximum number of measurement data to be reported, and the first device can determine whether the number of measurement data to be reported meets the maximum number in the reporting requirement based on the first measurement data. When the maximum number is not met, the second information is determined, so that the second measurement data obtained by performing the first operation on the first measurement data based on the second information can meet the maximum number in the reporting requirement.

[0305] For example, the reporting requirement corresponding to the perception configuration information can include a maximum data volume of measurement data to be reported, and the first device can determine the data volume of the measurement data to be reported based on the first measurement data. When the maximum data volume is not met, the second information is determined, so that the second measurement data obtained by performing the first operation on the first measurement data based on the second information can meet the maximum data volume in the reporting requirement.

[0306] It should be noted that other perception configuration information (such as the maximum value of the quantization bit number of the reported measurement data, the maximum quantization error of the reported measurement data, and the maximum value of the average bit number corresponding to the reported measurement data) corresponds to similar reporting requirements, which will not be described here.

[0307] In this embodiment, the first device determines the second information corresponding to the first measurement data based on whether the first information meets the reporting requirement corresponding to the perception configuration information, so as to determine the optimization scheme of the first measurement data obtained by perception measurement, and to optimize the first measurement data by the determined optimization scheme, thereby reducing the resource overhead of transmitting the perception measurement data.

[0308] Optionally, the first processing includes:

[0309] determining a first subset from a first set, the first set being determined based on the first measurement data, and the first subset including part of the measurement data in the first set;

[0310] determining a second set, the second set being the measurement data in the first set except the first subset;

[0311] determining a difference between the measurement data in the second set and the measurement data in the first subset;

[0312] wherein the measurement data after the first processing is the difference.

[0313] wherein the measurement data in the first subset can be the first part of data, and the measurement data in the second set can be the second part of data.

[0314] wherein the first subset can be considered as reference data. The first subset can be the measurement data of a certain antenna, and according to the characteristics of the perception measurement data, the first subset can also be the measurement data corresponding to a certain OFDM symbol, a certain subcarrier, a certain time delay value, or a certain Doppler value, and the present embodiment does not limit the first subset.

[0315] Taking the measurement data of antenna j as an example, the second set can be the measurement data in the first set except the measurement data of antenna j, and the difference between the measurement data in the second set and the measurement data in the first subset can mean that the difference between the measurement data of each antenna except antenna j and the measurement data of antenna j is determined respectively. It can be understood that the measurement data of each antenna has an alignment relationship, and the data types are the same, so the difference can be calculated.

[0316] In this embodiment, through the first processing, the difference between the measurement data in the second set and the measurement data in the first subset is determined, and the difference is taken as the measurement data after the first processing, so that the amount of perception measurement data can be reduced, and the resource overhead of transmitting the perception measurement data can be reduced.

[0317] Optionally, the first processing comprises:

[0318] The first measurement data at the first time and the first measurement data at the second time are determined from the first set, and the first set is determined based on the first measurement data;

[0319] The difference between the first measurement data at the second time and the first measurement data at the first time is determined;

[0320] The measurement data after the first processing is the difference.

[0321] The first measurement data at the first time can be regarded as reference data.

[0322] The first measurement data at the first time can be the first part of data, and the first measurement data at the second time can be the second part of data.

[0323] In an embodiment, the first measurement data at the first time does not contain the perception target. For example, the network configures the first device (such as a UE or a base station) to perform perception measurement without the perception target according to relevant information (such as prior information such as the position range of the perception target), and the first measurement data at the first time is clutter data. Through the first processing, the clutter can be eliminated, and the accuracy of the perception measurement data can be improved.

[0324] In an embodiment, the first measurement data at the first time contains the perception target, and the time interval between the first time t1 and the second time t2 satisfies the case that the two sets of perception measurement data have correlation. Through the first processing, the numerical range of the perception measurement data can be reduced, so that in the case of the same quantization accuracy, fewer bits can be used. Or when the same number of quantization bits is used, through the first processing, the perception measurement data can have higher accuracy. Moreover, through the first processing, the measurement data after the first processing can have a large number of values close to zero, and then this part of data close to zero can not be transmitted, so that the transmission overhead can be reduced.

[0325] In this embodiment, through the first processing, the difference between the measurement data in the second set and the measurement data in the first subset is determined, and the difference is taken as the measurement data after the first processing, so that the amount of perception measurement data can be reduced, and the resource overhead of transmitting the perception measurement data can be reduced.

[0326] Optionally, the first set is any one of the following:

[0327] a set of measurement data corresponding to a plurality of OFDM symbols of a plurality of antennas in the first measurement data;

[0328] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data;

[0329] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data;

[0330] a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data;

[0331] a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of one antenna in the first measurement data;

[0332] a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data;

[0333] a set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data;

[0334] a set of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data;

[0335] a set of measurement data corresponding to a plurality of Dopplers of one antenna in the first measurement data.

[0336] Optionally, the first operation comprises:

[0337] obtaining a maximum value of measurement data in one or more third sets;

[0338] determining a ratio of each measurement data in the third set to the maximum value to obtain a processed third set;

[0339] quantizing measurement data in the processed third set according to a number of quantization bits to obtain quantized measurement data;

[0340] obtaining second measurement data based on the quantized measurement data;

[0341] wherein the third set is any one of the following:

[0342] a set of measurement data corresponding to a plurality of OFDM symbols of a plurality of antennas in the first measurement data or measurement data after the first processing;

[0343] A set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data or the measurement data after the first processing;

[0344] A set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data or the measurement data after the first processing;

[0345] A set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0346] A set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data or the measurement data after the first processing;

[0347] A set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0348] A set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data or the measurement data after the first processing;

[0349] A set of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0350] A set of measurement data corresponding to a plurality of Dopplers of one antenna in the first measurement data or the measurement data after the first processing.

[0351] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the measurement data in the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data.

[0352] The maximum value of the measurement data in the third set can be the maximum value of all amplitude values of the measurement data in the third set, or the maximum value of the absolute values of the real and imaginary parts of the measurement data in the third set. The ratio of each measurement data in the third set to the maximum value is determined to obtain the processed third set. Each measurement data in the third set is divided by the maximum value of the amplitude values to control the range of the amplitude values to [0, 1], i.e. the maximum value is 1. Or each measurement data in the third set is divided by the maximum value of the absolute values of the real and imaginary parts to control the range of the values to [-1, 1], i.e. the maximum value is 1 and the minimum value is -1.

[0353] It can be understood that obtaining the maximum value of the measurement data in the one or more third sets, determining the ratio of each measurement data in the third set to the maximum value, and obtaining the processed third set are used to realize normalization.

[0354] The method further includes: determining whether to perform source coding based on the distribution characteristics of the quantized measurement data; in a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain second measurement data; and in a case where it is determined not to perform source coding, the second measurement data being the quantized measurement data.

[0355] In this embodiment, by performing normalization and quantization on the first measurement data or the measurement data after the first processing through the first operation, the amount of data of the perception measurement data can be reduced, and the resource overhead of transmitting the perception measurement data can be reduced.

[0356] Optionally, the obtaining of the second measurement data based on the quantized measurement data includes:

[0357] determining whether to perform source coding based on the distribution characteristics of the quantized measurement data;

[0358] in a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain second measurement data.

[0359] In this embodiment, in a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain second measurement data can further reduce the amount of data of the perception measurement data and reduce the resource overhead of transmitting the perception measurement data.

[0360] Optionally, in a case where the first operation includes normalization and the number of the third sets is a plurality, the method further includes any one of the following:

[0361] the first device sends, to the second device, the maximum value of the measurement data in each of the third sets;

[0362] the first device sends, to the second device, the association relationship of the maximum values of the measurement data in the plurality of third sets.

[0363] The association relationship of the maximum values of the measurement data in the plurality of third sets can be represented by a ratio, for example, taking the maximum value of the measurement data in a certain third set as a reference value, and representing the association relationship by the ratio of the maximum values of the measurement data in other third sets to the reference value.

[0364] In this embodiment, the first device sends the maximum value of the measurement data in each third set to the second device, or the first device sends the correlation relationship of the maximum values of the measurement data in multiple third sets to the second device, so that the second device can learn the maximum value or the correlation relationship of the maximum values used in the normalization process of the measurement data in the third set, thereby learning the relative size relationship between multiple third sets, facilitating the second device to restore the received perception measurement data.

[0365] Optionally, the method further comprises:

[0366] The first device receives the perception configuration information sent by the second device.

[0367] The first device can be a node that receives a perception signal for perception measurement, and can perform perception measurement to obtain first measurement data; or the first device can be configured to receive perception measurement data (e.g., first measurement data) and process the perception measurement data (e.g., first measurement data) according to the received perception configuration information.

[0368] The second device can be a node that sends perception configuration information and receives perception measurement data (e.g., second measurement data); or the second device can be configured to send perception configuration information to the first device and the third device. The third device can be configured to receive perception configuration information and receive perception measurement data from the first device, and obtain perception measurement data (e.g., second measurement data) according to the perception configuration information.

[0369] In this embodiment, the first device receives the perception configuration information sent by the second device, can perform a first operation on the first measurement data obtained by perception measurement based on the perception configuration information before transmission, and can optimize the transmission of the perception measurement data according to the perception configuration information, thereby reducing the resource overhead of the transmission of the perception measurement data.

[0370] The following is supplemented by several examples:

[0371] Due to the movement of the perception target, the movement of the perception node, or the change of the surrounding environment, the performance indicators of the perception measurement data (e.g., indicators related to received power, indicators related to interference and noise power, indicators related to perception SINR, SNR, SIR, or RSRQ, etc.) are dynamically changed. The embodiments of the present application define the configuration of the perception measurement and / or the configuration of the transmission of the perception measurement data, and also implement the interaction process between the perception measurement node (the first device (e.g., UE or base station)) and the perception function node (the second device), thereby optimizing the perception measurement and the transmission of the perception measurement data, and efficiently performing the perception measurement and the transmission of the perception measurement data, which reduces the perception overhead and meets the requirements of the perception service.

[0372] In the following examples, the first information is taken as the first parameter, and the second information is taken as the second parameter.

[0373] Example 1: Perception measurement data transmission based on conditions (first parameter)

[0374] The main idea of this example is that the UE or base station obtains the perception measurement data and transmits the perception measurement data according to the real-time characteristics of the perception measurement data (i.e., the first parameter) and the protocol-defined calculation method of the perception measurement data, which can solve the problem of mismatch or poor match between the perception configuration parameters and the real-time characteristics of the perception measurement data. This method can reduce the transmission overhead of the perception measurement data and also improve the quantization accuracy of the perception measurement data.

[0375] When the UE is the perception signal receiving node, the UE needs to receive the perception signal and perform measurement. FIG. 9 is a flow of perception measurement and perception measurement data reporting of the UE or base station. The network is a radio access network node (such as a base station, etc.) and / or a core network function node (such as a perception function node, etc.). When the base station is the perception signal receiving node, the base station needs to receive the perception signal and perform measurement. The perception function node can be a core network function node or a radio access network function node. In the following, the UE or base station is referred to as the first device, and the network node that transmits the perception configuration information to the UE or base station is referred to as the second device.

[0376] Step (0): (Optional) The first device receives the perception configuration information. The perception configuration information includes at least one of the following:

[0377] (a) Indication of available non-uniform quantization method, one method is to indicate the quantization method through an information element (IE). For example, 01 represents A-law, 10 represents μ-law, etc. Optionally, the quantization parameters required by the quantization method, such as the μ value, etc., can also be included.

[0378] (b) Quantization object indication, indicating the object to be quantized. The quantization object is at least one of the first-level measurement quantity, the second-level measurement quantity, the third-level measurement quantity, and the fourth-level measurement quantity. And / or, when the perception measurement data is a complex number, the quantization object is at least one of the amplitude, the phase, the real part, and the imaginary part. The amplitude and the phase are quantized, or the real part and the imaginary part are quantized according to the characteristics of the perception measurement data, etc. One method is to indicate the quantization method through an information element (IE). For example, 0 represents the amplitude and the phase, and 1 represents the real part and the imaginary part.

[0379] (c) Number of quantization bits, used to indicate the number of quantization bits of the perception measurement data. The number of quantization bits includes at least one of the total number of bits, the number of amplitude quantization bits, the number of phase quantization bits, the number of real part quantization bits, and the number of imaginary part quantization bits.

[0380] (d) Available source coding method indication, one method is to indicate the source coding method through an information element (IE). For example, 01 indicates Huffman coding, 10 indicates arithmetic coding, 11 indicates source coding based on a certain AI model, etc.

[0381] If step (1) can indicate the above-mentioned perception configuration information through the protocol-defined calculation method of perception measurement data, then there is no step 0.

[0382] Step (1): The first device receives the perception signal, performs perception measurement to obtain first perception measurement data. The first device determines the second parameter used for processing the first perception measurement data according to the calculation method of the perception measurement data, thereby obtaining the second perception measurement data. The calculation method of the perception measurement data is at least one of the following:

[0383] (a) If the change degree of the input data range and the output data range of the first processing meets the preset condition, the first processing is performed on the first perception measurement data. An example is that the absolute value of the maximum value of the input data divided by the absolute value of the maximum value of the output data is not less than 10. An example is that the number of perception measurement data meeting the first preset condition meets the second preset condition, such as the number of perception measurement data less than the first threshold being greater than the second threshold.

[0384] (b) If the probability density of the first perception measurement data in a certain interval meets the preset condition, the quantization method is uniform quantization. An example is that the difference between the maximum value and the minimum value of the probability density in a certain interval is less than a threshold value; or the quantization method can also be indicated by a mapping table, which contains information such as quantization method indication, quantization object indication and quantization bit number. An example of uniform quantization of amplitude is shown in the following table:

[0385] (c) If the probability density of the first perception measurement data in a certain interval meets the preset condition, the quantization method is non-uniform quantization (such as A-law, mu-law, etc.). An example is that the minimum value of the probability density in a certain interval is greater than a threshold value; or the quantization method can also be indicated by a mapping table, which contains information such as quantization method indication, quantization object indication and quantization bit number. An example of non-uniform quantization of amplitude is shown in the following table:

[0386] (d) If the probability distribution of the quantized perception measurement data meets the preset condition in a certain interval of probability density, the perception measurement data is source coded (such as Huffman coding, arithmetic coding or source coding based on a certain AI model, etc.). An example is that the maximum value (or N probability densities) of the probability density is greater than a threshold value.

[0387] Step (2): The first device sends the sensing measurement data according to the sensing measurement data transmission configuration (also can be called sensing measurement data reporting configuration).

[0388] If the protocol defines the default quantization method as amplitude uniform quantization and phase uniform quantization, and no first processing and source coding are performed, the first device sends the sensing measurement data in the case that the first device generates the sensing measurement data by using the default method.

[0389] Optionally, the first device sends the second parameter. The second parameter includes at least one of the following:

[0390] The first processing indication is used to indicate whether the first processing is performed. If the first processing is performed, the reference data indication, the second data set indication, or the period of the reference data can also be included;

[0391] The quantization method indication is used to indicate the quantization method. For example, 01 represents uniform quantization, 10 represents A-law, 11 represents μ-law, etc. Optionally, the quantization parameters required by the quantization method, such as the μ value, can also be included. One method is to indicate by the identifier corresponding to the mapping table used for quantization;

[0392] The source coding indication is used to indicate whether the source coding is performed. If the source coding is performed, the source coding method indication can also be optionally included. One method is to indicate the source coding method by an information element (IE). For example, 01 represents Huffman coding, 10 represents arithmetic coding, and 11 represents source coding based on a certain AI model, etc.

[0393] Step (3): The second device receives the sensing measurement data sent by the first device. Optionally, the corresponding sensing measurement data is obtained according to the second parameter.

[0394] Optionally, the network processes the sensing measurement data to generate the required sensing result.

[0395] Example Two: Sensing measurement data transmission based on conditions (first parameter and sensing configuration information)

[0396] Example One is that the first device obtains the sensing measurement data according to the real-time characteristics of the sensing measurement data (i.e., the first parameter) and the calculation method of the sensing measurement data defined by the protocol. The main idea of this example is that the first device performs sensing measurement according to the first parameter and the sensing configuration information, and sends the sensing measurement data. Thus, the problem that the sensing configuration parameters do not match or do not match well with the real-time characteristics of the sensing measurement data is solved. This method can reduce the transmission overhead of the sensing measurement data, and can also improve the quantization accuracy of the sensing measurement data. As shown in FIG. 10, the flow of sensing measurement and sensing measurement data reporting includes:

[0397] Step (0): (Optional) The first device sends capability information to the network. The capability information includes at least one of the following:

[0398] Supported quantization method information. For example, uniform quantization, A-law or μ-law. A-law and μ-law can be further divided into 13-fold A-law and other sub-algorithms;

[0399] Indication of whether source coding is supported;

[0400] Supported source coding method information. For example, Huffman coding, arithmetic coding, a certain identified AI model (such as an autoencoder, etc.);

[0401] Supported maximum number of quantization bits (also referred to as maximum bit width).

[0402] Step (1): The first device receives a first message sent by the second device, and the first message contains sensing configuration information. The first message can be an RRC message, a physical layer message, or a data plane message. The sensing configuration information includes at least one of the following:

[0403] (1) Sensing SINR, SNR, SIR, or RSRQ-related index threshold value, including at least one of the following:

[0404] (a) Minimum sensing SINR, SNR, SIR, or RSRQ. The UE or base station obtains the sensing SINR, SNR, SIR, or RSRQ of the sensing measurement data according to the protocol-defined sensing SINR, SNR, SIR, or RSRQ calculation method and / or network configuration information (such as sensing target index, sensing noise range) to determine whether the sensing measurement data meets the requirements of this sensing configuration information;

[0405] (b) Quantization output data and input data compared to sensing SINR, SNR, SIR, or RSRQ degradation meets a predetermined condition, for example, sensing SNR degradation is less than a threshold value. For example, when the sensing SNR is greater than 15 dB, the sensing SNR degradation does not exceed 3 dB, and when the sensing SNR is less than 5 dB, the sensing SNR degradation does not exceed 1 dB. One method of using this parameter is that the UE or base station can determine whether the change in the sensing SINR, SNR, SIR, or RSRQ of the quantization input data and the sensing SINR, SNR, SIR, or RSRQ of the quantization output data meets the requirements of this sensing configuration information, and then determines which quantization method to use, how many quantization bits, etc. quantization parameters;

[0406] (c) the source coding output data and the input data compared, the perceived SINR, SNR, SIR or RSRQ is deteriorated to meet the preset condition, for example, the perceived SNR is deteriorated less than the threshold value. For example, when the perceived SNR is greater than 15dB, the perceived SNR is deteriorated no more than 3dB, and when the perceived SNR is less than 5dB, the perceived SNR is deteriorated no more than 1dB. One use of this parameter is that when the UE or the base station uses lossy source coding, the UE or the base station can determine whether the change of the perceived SINR, SNR, SIR or RSRQ of the source coding output data and the perceived SINR, SNR, SIR or RSRQ of the source coding input data meets the requirement of the perceived configuration information, and then determines which source coding method to use;

[0407] (2) the maximum number of bits of the perceived measurement data quantization, i.e. the maximum number of bits that can be used for one perceived measurement data quantization;

[0408] (3) the maximum quantization error;

[0409] (4) the maximum number of perceived measurement data, i.e. the maximum number of perceived measurement data transmitted in one perceived measurement report;

[0410] (5) the maximum data size of the perceived measurement data, i.e. the maximum length of the perceived measurement data transmitted in one perceived measurement report, such as 8000 bits, etc.;

[0411] (6) the maximum value of the average number of bits of the perceived measurement data, when at least one of the first processing or the source coding is performed on the basis of the quantization of the perceived measurement data, the maximum value of the average number of bits of the perceived measurement data refers to the maximum value of the average number of bits of the transmitted perceived measurement data allowed to be used after the above process;

[0412] (7) the available quantization method;

[0413] (8) the available source coding method.

[0414] Alternatively, the perceived configuration includes a trigger event of the second parameter. The trigger event includes at least one of the following:

[0415] the trigger event of the non-uniform quantization, wherein the trigger event includes at least one of the following and the corresponding trigger threshold: the probability distribution parameter of the perceived measurement data, the index related to the perceived SINR, SNR, SIR or RSRQ, the average number of bits of the perceived measurement data quantization, the number of the perceived measurement data, and the data size of the perceived measurement data;

[0416] The trigger event of the first processing, wherein the trigger event comprises at least one of the following: a change degree parameter of an input data range and an output data range of the first processing, a sensing SINR, SNR, SIR or RSRQ related index, a quantity of sensing measurement data, a data amount of the sensing measurement data, and a corresponding trigger threshold;

[0417] The trigger event of the source coding, wherein the trigger event comprises at least one of the following: a probability distribution parameter of the sensing measurement data, a compression rate, a sensing SINR, SNR, SIR or RSRQ related index, an average bit number of the sensing measurement data quantization, a quantity of the sensing measurement data, a data amount of the sensing measurement data, and a corresponding trigger threshold.

[0418] An example of the trigger event of the non-uniform quantization (Event 1\2\3), the trigger event of the first processing (Event 4), and the trigger event of the source coding (Event 5) is shown in the following table (the time name and the serial number are only for example).

[0419] The trigger event is as follows:

[0420] (1) Event (event type): Event 1

[0421] Event description:

[0422] The minimum value of the probability density of a certain interval is higher than the threshold;

[0423] Event example (i.e. determination criterion):

[0424] Entry condition: the minimum value of the probability density of a certain interval > Thresh1 (threshold value);

[0425] Exit condition: the minimum value of the probability density of a certain interval < Thresh2 (threshold value);

[0426] Or,

[0427] Entry condition: the minimum value of the probability density of a certain interval - reference > Thresh (threshold value);

[0428] Exit condition: the minimum value of the probability density of a certain interval + reference < Thresh (threshold value).

[0429] It should be noted that the event can also have only an entry condition; Thresh1 and Thresh2 can be the same or different; by setting the reference, the number of non-uniform switches can be reduced, and frequent opening or closing of the non-uniform quantization can be avoided.

[0430] Second parameter:

[0431] Non-uniform quantization is adopted, and the amplitude uses mapping table A and the phase uses mapping table B.

[0432] (2) Event (event type): Event 2

[0433] Event description:

[0434] The minimum value of the probability density of a certain interval is higher than a threshold, and the perceived SNR / SINR / SIR / RSRQ is lower than a threshold value;

[0435] Event example (i.e., decision criteria):

[0436] Entry condition: the minimum value of the probability density of a certain interval > Thresh1 (threshold value); and the perceived SNR / SINR / SIR / RSRQ < Thresh1';

[0437] Exit condition: the minimum value of the probability density of a certain interval < Thresh2 (threshold value), and the perceived SNR / SINR / SIR / RSRQ > Thresh2';

[0438] Or

[0439] Entry condition: the minimum value of the probability density of a certain interval-reference > Thresh (threshold value), and the perceived SNR / SINR / SIR / RSRQ + reference < Thresh';

[0440] Exit condition: the minimum value of the probability density of a certain interval + reference < Thresh (threshold value), and the perceived SNR / SINR / SIR / RSRQ-reference > Thresh' (threshold value);

[0441] It should be noted that the event can also have only an entry condition; Thresh1, Thresh1', Thresh2 and Thresh2' can be the same or different; by setting reference, the number of non-uniform switching can be reduced, and frequent opening or closing of non-uniform quantization can be avoided.

[0442] Second parameter:

[0443] Non-uniform quantization (such as A-law) is adopted;

[0444] The quantization object is the real part and the virtual part, and the quantization bit number is N.

[0445] (3) Event (event type): Event 3

[0446] Event description: the minimum value of the probability density of a certain interval is higher than a threshold, and the data volume of the perceived measurement data is higher than a threshold value;

[0447] Event example (i.e. decision criterion):

[0448] Entry condition: the minimum value of the probability density of a certain interval > Thresh1 (threshold value), and the data volume of the perception measurement data > Thresh1';

[0449] Exit condition: the minimum value of the probability density of a certain interval < Thresh2 (threshold value), and the data volume of the perception measurement data < Thresh2';

[0450] Or

[0451] Entry condition: the minimum value of the probability density of a certain interval + reference > Thresh (threshold value), and the data volume of the perception measurement data + reference > Thresh';

[0452] Exit condition: the minimum value of the probability density of a certain interval + reference < Thresh (threshold value), and the data volume of the perception measurement data - reference < Thresh' (threshold value);

[0453] It should be noted that the event can also have only an entry condition; Thresh1, Thresh1', Thresh2 and Thresh2' can be the same or different; by setting reference, the number of non-uniform switches can be reduced, avoiding frequent opening or closing of non-uniform quantization.

[0454] Second parameter:

[0455] Non-uniform quantization (such as u-law, u = 128) is adopted, the quantization object is the real part and the imaginary part, and the quantization bit number is N.

[0456] (4) Event (event type): Event 4

[0457] Event description:

[0458] The degree of change of the input data range and the output data range of the first processing is higher than the threshold;

[0459] This event assumes that the degree of change of the input data range and the output data range of the first processing is equal to the absolute value of the maximum value of the input data divided by the absolute value of the maximum value of the output data, denoted as R.

[0460] Event example (i.e. decision criterion):

[0461] Entry condition: R > Thresh1 (threshold value);

[0462] Exit condition: R < Thresh2 (threshold value);

[0463] or

[0464] Entry condition: R-reference > Thresh (threshold value);

[0465] Exit condition: R+reference < Thresh (threshold value);

[0466] It should be noted that the event can also have only an entry condition; Thresh1 and Thresh2 can be the same or different; by setting reference, the number of times of switching the first processing can be reduced, avoiding frequent opening or closing of the first processing.

[0467] Second parameter:

[0468] Adopt the first processing.

[0469] (5) Event (event type): Event 5

[0470] Event description:

[0471] Compression rate is higher than threshold; this event assumes that the compression rate is equal to the input data amount of source coding divided by the output data amount.

[0472] Event example (i.e. determination criterion):

[0473] Entry condition: Compression rate > Thresh1 (threshold value);

[0474] Exit condition: Compression rate < Thresh2 (threshold value);

[0475] or

[0476] Entry condition: Compression rate-reference > Thresh (threshold value);

[0477] Exit condition: Compression rate+reference < Thresh (threshold value);

[0478] It should be noted that the event can also have only an entry condition; Thresh1 and Thresh2 can be the same or different; by setting reference, the number of times of switching the source coding can be reduced, avoiding frequent opening or closing of the source coding.

[0479] Step (2): The first device receives the sensing signal and performs sensing measurement. The second parameter is determined according to the received sensing configuration information, and sensing measurement data is generated.

[0480] Step (3): The first device transmits the sensing measurement data and the second parameter according to the sensing measurement data transmission configuration (which can also be referred to as sensing measurement data reporting configuration).

[0481] Optionally, the first device sends the second parameter. The second parameter comprises at least one of the following:

[0482] The first processing indication, used to indicate whether to perform the first processing. If the first processing is performed, the reference data indication, the second data set indication or the period of the reference data can also be included;

[0483] The quantization method indication. One method is to indicate the quantization method through an information element (IE). For example, 01 represents uniform quantization, 10 represents A-law, 11 represents μ-law, etc. Optionally, the quantization parameter required by the quantization method, such as the μ value, etc. can also be included. One method is to indicate through the corresponding identifier of the mapping table used for quantization;

[0484] The quantization object indication, used to indicate the object to be quantized. The quantization object is at least one of the first-level measurement quantity, the second-level measurement quantity, the third-level measurement quantity, the fourth-level measurement quantity. And / or, when the perception measurement data is a complex number, the quantization object is at least one of the amplitude, the phase, the real part and the imaginary part. The amplitude and the phase are quantized, or the real part and the imaginary part are quantized according to the characteristics of the perception measurement data, etc. One method is to indicate the quantization method through an information element (IE). For example, 0 represents the amplitude and the phase, and 1 represents the real part and the imaginary part;

[0485] The quantization bit number, used to indicate the quantization bit number of the perception measurement data. The quantization bit number comprises at least one of the total bit number, the amplitude quantization bit number, the phase quantization bit number, the real part quantization bit number and the imaginary part quantization bit number;

[0486] The source coding indication, used to indicate whether to perform the source coding. If the source coding is performed, the source coding method indication can also be included optionally. One method is to indicate the source coding method through an information element (IE). For example, 01 represents the Huffman coding, 10 represents the arithmetic coding, 11 represents the source coding based on a certain AI model, etc.

[0487] Step (4): The second device receives the perception measurement data sent by the first device. The corresponding perception measurement data is obtained according to the second parameter.

[0488] Optionally, the network processes the perception measurement data to generate the required perception result.

[0489] In the embodiments of the present application, the UE or the base station performs sensing measurement, and determines the second parameter related to sensing measurement data processing according to the first parameter (a probability distribution characteristic parameter of the sensing measurement data, a variation degree parameter of an input data range and an output data range of the first processing, an index related to sensing SINR, SNR, SIR or RSRQ, a quantity of the sensing measurement data, a data quantity of the sensing measurement data, a quantity of quantized bits of the sensing measurement data, a quantization error, an average quantity of bits of the sensing measurement data). Alternatively, the UE or the base station performs sensing measurement, and determines the second parameter related to sensing measurement data processing according to the first parameter and sensing configuration information (a threshold value of an index related to sensing SINR, SNR, SIR or RSRQ, a maximum quantity of quantized bits of the sensing measurement data, a maximum quantization error, a maximum quantity of the sensing measurement data, a maximum data quantity of the sensing measurement data, a maximum value of an average quantity of bits of the sensing measurement data, an available quantization method, an available source coding method, a second parameter triggering event (a triggering event of non-uniform quantization, a triggering event of the first processing, a triggering event of source coding)). The embodiments of the present application can solve the problem that the sensing configuration parameter does not match or does not well match the real-time characteristics of the sensing measurement data, can reduce the transmission overhead of the sensing measurement data, and can also improve the quantization precision of the sensing measurement data.

[0490] Referring to FIG. 11, FIG. 11 is a flowchart of a data transmission method provided by the embodiments of the present application. As shown in FIG. 11, the data transmission method comprises the following steps:

[0491] Step 201: The second device receives second measurement data sent by the first device.

[0492] Step 202: The second device performs a second operation on the second measurement data to obtain third measurement data.

[0493] The second operation is determined based on at least one of the first information and the sensing configuration information, and the first information is used to represent a characteristic corresponding to the first measurement data obtained by sensing measurement.

[0494] The third measurement data can be measurement data restored from the second measurement data, and the sensing result corresponding to the third measurement data can be equivalent to the sensing result corresponding to the first measurement data.

[0495] Optionally, the method further comprises:

[0496] The second device sends the sensing configuration information to the first device.

[0497] The sensing configuration information comprises at least one of the following:

[0498] A threshold value of a sensing-related index.

[0499] a maximum number of reported measurement data;

[0500] a maximum data volume of reported measurement data;

[0501] a maximum value of quantization bit number of reported measurement data;

[0502] a maximum quantization error of reported measurement data;

[0503] a maximum value of average bit number corresponding to reported measurement data;

[0504] an available quantization scheme;

[0505] an available normalization scheme;

[0506] an available source coding scheme;

[0507] a triggering event of quantization;

[0508] a triggering event of first processing;

[0509] a triggering event of source coding.

[0510] Optionally, the threshold value of the perception-related index comprises at least one of:

[0511] a minimum value of the perception-related index;

[0512] a threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization;

[0513] a threshold value of a difference between the perception-related index corresponding to the measurement data after source coding and the perception-related index corresponding to the measurement data before source coding.

[0514] Optionally, the method further comprises:

[0515] the second device receives second information sent by the first device;

[0516] the second device performs a second operation on the second measurement data, comprising:

[0517] the second device performs the second operation on the second measurement data based on the second information;

[0518] wherein the second information is used to indicate at least one of:

[0519] whether to perform first processing; whether to perform quantization; a quantization scheme; a quantization object; a quantization bit number; whether to perform normalization; a normalization scheme; whether to perform source coding; a source coding scheme.

[0520] Optionally, the method further comprises any one of the following:

[0521] The second device receives the maximum value of the measurement data in each third set sent by the first device;

[0522] The second device receives the association relationship of the maximum values of the measurement data in multiple third sets sent by the first device;

[0523] The second device performs a second operation on the second measurement data, comprising:

[0524] The second device performs a second operation on the second measurement data based on the maximum value of the measurement data in each third set or the association relationship;

[0525] Wherein, the third set is any one of the following:

[0526] A set of measurement data corresponding to multiple OFDM symbols of multiple antennas in the first measurement data or the measurement data after the first processing;

[0527] A set of measurement data corresponding to multiple OFDM symbols of one antenna in the first measurement data or the measurement data after the first processing;

[0528] A set of measurement data corresponding to multiple antennas and multiple subcarriers of one OFDM symbol in the first measurement data or the measurement data after the first processing;

[0529] A set of measurement data corresponding to multiple time delays and multiple Dopplers of multiple antennas in the first measurement data or the measurement data after the first processing;

[0530] A set of measurement data corresponding to multiple time delays and multiple Dopplers of one antenna in the first measurement data or the measurement data after the first processing;

[0531] A set of measurement data corresponding to multiple time delays of multiple antennas in the first measurement data or the measurement data after the first processing;

[0532] A set of measurement data corresponding to multiple time delays of one antenna in the first measurement data or the measurement data after the first processing;

[0533] A set of measurement data corresponding to multiple Dopplers of multiple antennas in the first measurement data or the measurement data after the first processing;

[0534] A set of measurement data corresponding to multiple Dopplers of one antenna in the first measurement data or the measurement data after the first processing.

[0535] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data.

[0536] It should be noted that the embodiment is as an implementation of the second device corresponding to the embodiment shown in FIG. 6, and the specific implementation can refer to the related description of the embodiment shown in FIG. 6. To avoid repeated description, the embodiment will not be described again.

[0537] The application embodiment further provides a data transmission method, and the data transmission method comprises the following steps:

[0538] The second device sends the perception configuration information to the first device;

[0539] The perception configuration information comprises at least one of the following:

[0540] A threshold value of the perception-related index;

[0541] A maximum number of the reported measurement data;

[0542] A maximum data volume of the reported measurement data;

[0543] A maximum value of a quantization bit number of the reported measurement data;

[0544] A maximum quantization error of the reported measurement data;

[0545] A maximum value of an average bit number corresponding to the reported measurement data;

[0546] A usable quantization scheme;

[0547] A usable normalization scheme;

[0548] A usable source coding scheme;

[0549] A triggering event of quantization;

[0550] A triggering event of the first processing;

[0551] A triggering event of source coding.

[0552] Optionally, the threshold value of the perception-related index comprises at least one of the following:

[0553] A minimum value of the perception-related index;

[0554] A threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization;

[0555] A threshold value of a difference between a perception-related index corresponding to the measurement data after source coding and a perception-related index corresponding to the measurement data before source coding.

[0556] The third device can be configured to receive the perception configuration information, and obtain the perception measurement data (e.g., the second measurement data) according to the perception configuration information.

[0557] The data transmission method provided in the embodiments of the present application can be executed by a data transmission device. In the embodiments of the present application, the data transmission device is taken as an example to illustrate the data transmission device provided in the embodiments of the present application.

[0558] The data transmission device provided in the embodiments of the present application can be a communication device or a component in the communication device, for example, a chip. The communication device can be a terminal, a network side device or a server, etc. For example, the terminal can include, but is not limited to, the types of the terminal 11 listed above, the network side device can include, but is not limited to, the types of the network side device 12 listed above, and the embodiments of the present application are not limited in this regard.

[0559] The data transmission device includes a receiving module, a sending module and a processing module. The receiving module, the sending module and the processing module can be implemented by software or hardware. When implemented by hardware, the processing module can be implemented by a processor, for example, a general processor, a special purpose processor, etc., such as a central processing unit (CPU), a microprocessor, a digital signal processor (DSP), an artificial intelligent (AI) processor, a graphics processing unit (GPU), an application specific integrated circuit (ASIC), a network processor (NP), a field programmable gate array (FPGA) or other programmable logic device, a gate circuit, a transistor, a discrete hardware component, etc. The receiving module and the sending module can be implemented by a communication interface, which can include one or more of a transceiver, a pin, a circuit, a bus, a radio frequency unit, etc.

[0560] Specifically, referring to FIG. 12, when the data transmission device is the first device or a component in the first device, the data transmission device 300 includes:

[0561] The processing module 301 is configured to perform a first operation on the first measurement data based on at least one of the first information and the perception configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on perception measurement.

[0562] The sending module 302 is configured to send the second measurement data to a second device.

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

[0564] A probability distribution feature parameter of the first measurement data;

[0565] First indication information determined based on the first measurement data, wherein the first indication information is used to indicate a target change degree, the target change degree is a change degree of an output data range of the first processing relative to an input data range, and the first operation includes the first processing;

[0566] A perception-related index value determined based on the first measurement data;

[0567] A number of reported measurement data determined based on the first measurement data;

[0568] A data amount of reported measurement data determined based on the first measurement data;

[0569] A quantization bit number of the first measurement data;

[0570] A quantization error of the first measurement data;

[0571] An average bit number corresponding to the first measurement data.

[0572] Optionally, the perception configuration information includes at least one of the following:

[0573] A threshold value of a perception-related index;

[0574] A maximum number of reported measurement data;

[0575] A maximum data amount of reported measurement data;

[0576] A maximum quantization bit number of reported measurement data;

[0577] A maximum quantization error of reported measurement data;

[0578] A maximum average bit number corresponding to reported measurement data;

[0579] A usable quantization scheme;

[0580] A usable normalization scheme;

[0581] Available source coding schemes;

[0582] Triggering events for quantization;

[0583] Triggering events for the first processing;

[0584] Triggering events for source coding.

[0585] Optionally, the threshold value of the perception-related index comprises at least one of:

[0586] A minimum value of the perception-related index;

[0587] A threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization;

[0588] A threshold value of a difference between the perception-related index corresponding to the measurement data after source coding and the perception-related index corresponding to the measurement data before source coding.

[0589] Optionally, the first operation comprises at least one of:

[0590] The first processing; normalization; quantization; source coding;

[0591] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data.

[0592] Optionally, the processing module is specifically configured to:

[0593] Determine second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information;

[0594] Perform a first operation on the first measurement data based on the second information, to obtain second measurement data;

[0595] The second information is used to indicate at least one of:

[0596] Whether to perform the first processing; whether to perform quantization; a quantization scheme; a quantization object; a number of quantization bits; whether to perform normalization; a normalization scheme; whether to perform source coding; a source coding scheme.

[0597] Optionally, the processing module is specifically configured to:

[0598] Determine second information corresponding to the first measurement data based on whether the first information meets a reporting requirement corresponding to the perception configuration information.

[0599] Optionally, the first processing comprises:

[0600] determining a first subset from the first set, the first set being determined based on the first measurement data, the first subset comprising part of the measurement data in the first set;

[0601] determining a second set, the second set being the measurement data in the first set except the first subset;

[0602] determining a difference between the measurement data in the second set and the measurement data in the first subset;

[0603] wherein the measurement data after the first processing is the difference.

[0604] Optionally, the first processing comprises:

[0605] determining a first measurement data at a first time and a first measurement data at a second time from the first set, the first set being determined based on the first measurement data;

[0606] determining a difference between the first measurement data at the second time and the first measurement data at the first time;

[0607] wherein the measurement data after the first processing is the difference.

[0608] Optionally, the first set is any one of:

[0609] a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing, OFDM, symbols of a plurality of antennas in the first measurement data;

[0610] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data;

[0611] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data;

[0612] a set of measurement data corresponding to a plurality of time delays and Dopplers of a plurality of antennas in the first measurement data;

[0613] a set of measurement data corresponding to a plurality of time delays and Dopplers of one antenna in the first measurement data;

[0614] a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data;

[0615] a set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data;

[0616] a plurality of sets of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data;

[0617] a plurality of sets of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data.

[0618] Optionally, the first operation comprises:

[0619] obtaining a maximum value of measurement data in one or more third sets;

[0620] determining a ratio of each measurement data in the third set to the maximum value, to obtain a processed third set;

[0621] quantizing measurement data in the processed third set according to a number of quantization bits, to obtain quantized measurement data;

[0622] obtaining second measurement data based on the quantized measurement data;

[0623] wherein the third set is any one of:

[0624] a plurality of sets of measurement data corresponding to a plurality of OFDM symbols of a plurality of antennas in the first measurement data or measurement data after the first processing;

[0625] a plurality of sets of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data or measurement data after the first processing;

[0626] a plurality of sets of measurement data corresponding to a plurality of subcarriers and a plurality of antennas of one OFDM symbol in the first measurement data or measurement data after the first processing;

[0627] a plurality of sets of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data or measurement data after the first processing;

[0628] a plurality of sets of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of one antenna in the first measurement data or measurement data after the first processing;

[0629] a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or measurement data after the first processing;

[0630] a plurality of sets of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data or measurement data after the first processing;

[0631] a plurality of sets of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data or measurement data after the first processing;

[0632] A set of measurement data corresponding to a plurality of Dopplers of one antenna in the first measurement data or the measurement data after the first processing.

[0633] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the measurement data in the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data.

[0634] Optionally, the obtaining the second measurement data based on the quantized measurement data comprises:

[0635] Determining whether to perform source coding based on the distribution feature of the quantized measurement data.

[0636] In a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain the second measurement data.

[0637] Optionally, in a case where the first operation comprises normalization and the number of the third sets is a plurality, the sending module is further configured to perform any one of the following:

[0638] Sending, to the second device, a maximum value of measurement data in each of the third sets;

[0639] Sending, to the second device, a correlation relationship of maximum values of measurement data in a plurality of the third sets.

[0640] Optionally, the apparatus further comprises:

[0641] The receiving module is configured to receive the sensing configuration information sent by the second device.

[0642] Referring to FIG. 13, when the data transmission apparatus is the second device or a component in the second device, the data transmission apparatus 400 comprises:

[0643] The receiving module 401 is configured to receive second measurement data sent by the first device;

[0644] The processing module 402 is configured to perform a second operation on the second measurement data to obtain third measurement data.

[0645] The second operation is determined based on at least one of first information and sensing configuration information, the first information being used to represent a feature corresponding to the first measurement data obtained by sensing measurement.

[0646] Optionally, the apparatus further comprises:

[0647] The sending module is configured to send the sensing configuration information to the first device.

[0648] The perception configuration information includes at least one of the following:

[0649] A threshold value of the perception-related index;

[0650] A maximum number of the reported measurement data;

[0651] A maximum data volume of the reported measurement data;

[0652] A maximum value of a quantization bit number of the reported measurement data;

[0653] A maximum quantization error of the reported measurement data;

[0654] A maximum value of an average bit number corresponding to the reported measurement data;

[0655] A usable quantization scheme;

[0656] A usable normalization scheme;

[0657] A usable source coding scheme;

[0658] A triggering event of quantization;

[0659] A triggering event of the first processing;

[0660] A triggering event of source coding.

[0661] Optionally, the threshold value of the perception-related index includes at least one of the following:

[0662] A minimum value of the perception-related index;

[0663] A threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization;

[0664] A threshold value of a difference between the perception-related index corresponding to the measurement data after source coding and the perception-related index corresponding to the measurement data before source coding.

[0665] Optionally, the receiving module is further configured to receive second information sent by the first device;

[0666] The processing module is specifically configured to perform a second operation on the second measurement data based on the second information;

[0667] The second information is used to indicate at least one of the following:

[0668] Whether to perform the first processing; whether to perform quantization; a quantization scheme; a quantization object; a quantization bit number; whether to perform normalization; a normalization scheme; whether to perform source coding; and a source coding scheme.

[0669] Optionally, the receiving module is further configured to receive any one of the following:

[0670] receive a maximum value of the measurement data in each third set sent by the first device;

[0671] receive a correlation relationship of the maximum values of the measurement data in multiple third sets sent by the first device;

[0672] The processing module is specifically configured to:

[0673] perform a second operation on the second measurement data based on the maximum value of the measurement data in each third set or the correlation relationship;

[0674] The third set is any one of the following:

[0675] a set of measurement data corresponding to multiple OFDM symbols of multiple antennas in the first measurement data or the measurement data after the first processing;

[0676] a set of measurement data corresponding to multiple OFDM symbols of one antenna in the first measurement data or the measurement data after the first processing;

[0677] a set of measurement data corresponding to multiple antennas and multiple subcarriers of one OFDM symbol in the first measurement data or the measurement data after the first processing;

[0678] a set of measurement data corresponding to multiple time delays and multiple Dopplers of multiple antennas in the first measurement data or the measurement data after the first processing;

[0679] a set of measurement data corresponding to multiple time delays and multiple Dopplers of one antenna in the first measurement data or the measurement data after the first processing;

[0680] a set of measurement data corresponding to multiple time delays of multiple antennas in the first measurement data or the measurement data after the first processing;

[0681] a set of measurement data corresponding to multiple time delays of one antenna in the first measurement data or the measurement data after the first processing;

[0682] a set of measurement data corresponding to multiple Dopplers of multiple antennas in the first measurement data or the measurement data after the first processing;

[0683] a set of measurement data corresponding to multiple Dopplers of one antenna in the first measurement data or the measurement data after the first processing.

[0684] The measurement data after the first processing is determined based on a difference between first part data and second part data, the first part data is part of the first measurement data, and the second part data is measurement data other than the first part data in the first measurement data.

[0685] The data transmission apparatus provided by the embodiments of the present application can implement each process implemented by the method embodiments of FIG. 6 or FIG. 11, and achieve the same technical effects. To avoid repetition, details are not described herein.

[0686] As shown in FIG. 14, the embodiments of the present application further provide a communication device 500, which includes a processor 501 and a memory 502, and the memory 502 stores programs or instructions executable on the processor 501. For example, when the communication device 500 is a first device, the programs or instructions are executed by the processor 501 to implement each step of the data transmission method embodiments applied to the first device described above, and achieve the same technical effects. When the communication device 500 is a second device, the programs or instructions are executed by the processor 501 to implement each step of the data transmission method embodiments applied to the second device described above, and achieve the same technical effects. To avoid repetition, details are not described herein.

[0687] The embodiments of the present application further provide a terminal, which includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run programs or instructions to implement the steps in the method embodiments shown in FIG. 6 or FIG. 11. The terminal embodiments correspond to the terminal-side method embodiments described above, and each implementation process and implementation manner of the method embodiments described above can be applied to the terminal embodiments, and achieve the same technical effects. The terminal can be the data transmission apparatus shown in FIG. 12. Specifically, FIG. 15 is a schematic diagram of a hardware structure of a terminal implementing the embodiments of the present application.

[0688] The terminal 600 includes, but is not limited to, at least part of the following components: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609, and a processor 610, etc.

[0689] Those skilled in the art can understand that the terminal 600 can further include a power supply (such as a battery) for supplying power to each component, and the power supply can be logically connected to the processor 610 through a power management system, so as to realize functions such as management of charging, discharging, and power consumption management through the power management system. The terminal structure shown in FIG. 15 does not constitute a limitation on the terminal, and the terminal can include more or fewer components than those shown, or combine certain components, or different component arrangements, which are not described herein.

[0690] It should be understood that in the embodiments of the present application, the input unit 604 can include a graphics processor 6041 and a microphone 6042, and the graphics processor 6041 performs target operation on image data of a still picture or a video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 606 can include a display panel 6061, which can be configured in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit 607 includes at least one of a touch panel 6071 and other input devices 6072. The touch panel 6071 is also called a touch screen. The touch panel 6071 can include two parts of a touch detection device and a touch controller. The other input devices 6072 can include, but are not limited to, a physical keyboard, function keys (such as volume control keys, on-off keys, etc.), a trackball, a mouse, a joystick, and the like, which will not be described here.

[0691] In the embodiments of the present application, after the radio frequency unit 601 receives the downlink data from the network side device, it can be transmitted to the processor 610 for target operation; in addition, the radio frequency unit 601 can send uplink data to the network side device. Generally, the radio frequency unit 601 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

[0692] The memory 609 can be used to store software programs or instructions and various data. The memory 609 can mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area can store an operating system, application programs or instructions required by at least one function (such as a sound playing function, an image playing function, etc.), and the like. In addition, the memory 609 can include a volatile memory or a non-volatile memory. The non-volatile memory can be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically EPROM (EEPROM), or a flash memory. The volatile memory can 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 (DDR SDRAM), an enhanced SDRAM (ESDRAM), a synch link DRAM (SLDRAM), and a direct memory bus random access memory (Direct Rambus RAM, DRRAM). The memory 609 in the embodiments of the present application includes but is not limited to these and any other suitable types of memory.

[0693] The processor 610 can include one or more processing units; optionally, the processor 610 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and an application program, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 610.

[0694] The processor 610 is configured to perform a first operation on the first measurement data based on at least one of first information and perception configuration information, to obtain second measurement data, the first information being used to represent a feature corresponding to the first measurement data, and the first measurement data being obtained based on perception measurement.

[0695] The radio frequency unit 601 is configured to send the second measurement data to a second device.

[0696] Optionally, the first information comprises at least one of:

[0697] a probability distribution feature parameter of the first measurement data;

[0698] first indication information determined based on the first measurement data, the first indication information being used to indicate a target change degree, the target change degree being a change degree of an output data range of the first processing relative to an input data range, the first operation comprising the first processing;

[0699] a perception-related index value determined based on the first measurement data;

[0700] a number of reported measurement data determined based on the first measurement data;

[0701] a data volume of reported measurement data determined based on the first measurement data;

[0702] a quantization bit number of the first measurement data;

[0703] a quantization error of the first measurement data;

[0704] an average bit number corresponding to the first measurement data.

[0705] Optionally, the perception configuration information comprises at least one of:

[0706] a threshold value of a perception-related index;

[0707] a maximum number of reported measurement data;

[0708] a maximum data volume of reported measurement data;

[0709] a maximum value of a quantization bit number of reported measurement data;

[0710] a maximum quantization error of reported measurement data;

[0711] a maximum value of an average bit number corresponding to reported measurement data;

[0712] an available quantization scheme;

[0713] an available normalization scheme;

[0714] an available source coding scheme;

[0715] a triggering event of quantization;

[0716] a triggering event of the first processing;

[0717] a triggering event of source coding.

[0718] Optionally, the threshold value of the perception-related index comprises at least one of:

[0719] a minimum value of the perception-related index;

[0720] a threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization;

[0721] a threshold value of a difference between the perception-related index corresponding to the measurement data after source coding and the perception-related index corresponding to the measurement data before source coding.

[0722] Optionally, the first operation comprises at least one of:

[0723] first processing; normalization; quantization; source coding;

[0724] wherein the measurement data after the first processing is determined based on a difference between first part data and second part data, the first part data being part of the first measurement data, and the second part data being measurement data in the first measurement data other than the first part data.

[0725] Optionally, the processor 610 is specifically configured to:

[0726] determine second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information;

[0727] perform first operation on the first measurement data based on the second information, to obtain second measurement data;

[0728] wherein the second information is used to indicate at least one of:

[0729] whether to perform first processing; whether to perform quantization; a quantization scheme; a quantization object; a number of quantization bits; whether to perform normalization; a normalization scheme; whether to perform source coding; a source coding scheme.

[0730] Optionally, the processor 610 is specifically configured to:

[0731] determine second information corresponding to the first measurement data based on whether the first information meets a reporting requirement corresponding to the perception configuration information.

[0732] Optionally, the first processing comprises:

[0733] determining a first subset from a first set, the first set being determined based on the first measurement data, and the first subset comprising part of measurement data in the first set;

[0734] determining a second set of measurement data, the second set being the measurement data in the first set except the first subset;

[0735] determining a difference between the measurement data in the second set and the measurement data in the first subset;

[0736] wherein the measurement data after the first processing is the difference.

[0737] Optionally, the first processing comprises:

[0738] determining a first measurement data at a first time and a first measurement data at a second time from a first set, the first set being determined based on the first measurement data;

[0739] determining a difference between the first measurement data at the second time and the first measurement data at the first time;

[0740] wherein the measurement data after the first processing is the difference.

[0741] Optionally, the first set is any one of:

[0742] a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing, OFDM, symbols of a plurality of antennas in the first measurement data;

[0743] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data;

[0744] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data;

[0745] a set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of a plurality of antennas in the first measurement data;

[0746] a set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of one antenna in the first measurement data;

[0747] a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data;

[0748] a set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data;

[0749] a set of measurement data corresponding to a plurality of dopplers of a plurality of antennas in the first measurement data;

[0750] a set of measurement data corresponding to a plurality of dopplers of one antenna in the first measurement data.

[0751] Optionally, the first operation comprises:

[0752] obtaining a maximum value of the measurement data in the one or more third sets;

[0753] determining a ratio of each measurement data in the third set to the maximum value, to obtain a processed third set;

[0754] quantizing the measurement data in the processed third set according to a number of quantization bits, to obtain quantized measurement data;

[0755] obtaining second measurement data based on the quantized measurement data;

[0756] The third set is any one of the following:

[0757] a set of measurement data corresponding to a plurality of OFDM symbols of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0758] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data or the measurement data after the first processing;

[0759] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data or the measurement data after the first processing;

[0760] a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0761] a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of one antenna in the first measurement data or the measurement data after the first processing;

[0762] a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0763] a set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data or the measurement data after the first processing;

[0764] a set of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data or the measurement data after the first processing;

[0765] a set of measurement data corresponding to a plurality of Dopplers of one antenna in the first measurement data or the measurement data after the first processing.

[0766] The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the first measurement data, and the second part of data being measurement data other than the first part of data in the first measurement data.

[0767] Optionally, the obtaining the second measurement data based on the quantized measurement data comprises:

[0768] determining whether to perform source coding based on the distribution feature of the quantized measurement data.

[0769] In a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain the second measurement data.

[0770] Optionally, in a case where the first operation comprises normalization and the number of the third sets is a plurality, the radio frequency unit 601 is further configured to perform any one of the following:

[0771] sending, to the second device, a maximum value of measurement data in each of the third sets;

[0772] sending, to the second device, a correlation relationship of maximum values of measurement data in a plurality of the third sets.

[0773] Optionally, the apparatus further comprises:

[0774] a radio frequency unit 601, configured to receive the sensing configuration information sent by the second device.

[0775] It can be understood that the implementation processes of the implementation manners mentioned in the embodiment can refer to the related descriptions of the method embodiments of FIG. 6 or FIG. 11, and achieve the same or corresponding technical effects. To avoid repetition, they will not be described here again.

[0776] The embodiment of the application further provides a network side device comprising a processor and a communication interface, the communication interface and the processor are coupled, the processor is used to run programs or instructions, and the steps of the method embodiments shown in FIG. 6 or FIG. 11 are implemented. The network side device embodiment corresponds to the first device or the second device method embodiment, and each implementation process and implementation manner of the above method embodiments can be applied to the network side device embodiment, and the same technical effects can be achieved.

[0777] Specifically, the embodiment of the present application further provides a network side device, which can be the data transmission apparatus shown in FIG. 12 or FIG. 13. As shown in FIG. 16, the network side device 700 includes an antenna 701, a radio frequency device 702, a baseband device 703, a processor 704 and a memory 705. The antenna 701 is connected with the radio frequency device 702. In the uplink direction, the radio frequency device 702 receives information through the antenna 701, and sends the received information to the baseband device 703 for target operation. In the downlink direction, the baseband device 703 performs target operation on the information to be sent, and sends the information to the radio frequency device 702, and the radio frequency device 702 performs target operation on the received information and sends the information out through the antenna 701.

[0778] The method performed by the network side device in the above embodiment can be implemented in the baseband device 703, which includes a baseband processor.

[0779] The baseband device 703 can include at least one baseband board, for example, as shown in FIG. 16, a plurality of chips are arranged on the baseband board, one of the chips is a baseband processor, for example, which is connected with the memory 705 through a bus interface to call the program in the memory 705 and perform the network device operation shown in the above method embodiment.

[0780] The network side device can further include a network interface 706, which is a common public radio interface (CPRI), for example.

[0781] Specifically, the network side device 700 of the embodiment of the present application further includes instructions or programs stored in the memory 705 and executable on the processor 704, the processor 704 calls the instructions or programs in the memory 705 to perform the method executed by each module shown in FIG. 12 or FIG. 13, and achieves the same technical effect, to avoid repetition, therefore, it will not be described here.

[0782] Specifically, the embodiment of the present application further provides a network side device. As shown in FIG. 17, the network side device 800 includes a processor 801, a network interface 802 and a memory 803. The network side device can be the data transmission apparatus shown in FIG. 12 or FIG. 13. The network interface 802 is a common public radio interface (CPRI), for example.

[0783] Specifically, the network side device 800 of the embodiment of the present application further includes instructions or programs stored in the memory 803 and executable on the processor 801, the processor 801 calls the instructions or programs in the memory 803 to perform the method executed by each module shown in FIG. 12 or FIG. 13, and achieves the same technical effect, to avoid repetition, therefore, it will not be described here.

[0784] The embodiment of the present application further provides a readable storage medium, which stores a program or instructions, and the program or instructions are executed by a processor to realize the processes of the data transmission method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0785] The processor is the processor in the terminal or the network side device in the above embodiments. The readable storage medium includes a computer readable storage medium, such as a computer readable only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk. In some examples, the readable storage medium can be a non-transitory readable storage medium.

[0786] The embodiment of the present application further provides a chip, which includes a processor and a communication interface, the communication interface is coupled with the processor, and the processor is used to run a program or instructions to realize the processes of the data transmission method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0787] It should be understood that the chip mentioned in the embodiment of the present application can also be referred to as a system chip, a system chip, a chip system or a system on chip, etc.

[0788] 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 realize the processes of the data transmission method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0789] The embodiment of the present application further provides a wireless communication system, which includes a first device and a second device. The first device can be used to execute the steps of the data transmission method applied to the first device, and the second device can be used to execute the steps of the data transmission method applied to the second device.

[0790] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises a", "comprising", or the like does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element. Furthermore, it is to be understood that the methods and apparatuses of the present application can be carried out by specific hardware, by software, or by a combination of hardware and software. It is therefore, contemplated to this patent to cover any and all modifications, variations, or equivalents that fall within the scope of the present application. Accordingly, where a concept can have been illustrated in only one of the exemplary embodiments, various aspects of the concept can be modified and / or combined to produce a variety of other embodiments that are not specifically illustrated. Thus, for purposes of describing the present application, certain aspects of the application can be presented in terms of sequences of actions, but it should be appreciated that these sequences are examples and are not limiting. The sequences of actions could be changed, and other sequences could be implemented. Moreover, it should be appreciated that descriptions, if any, of any aspects of the application in terms of an overall exchange are provided for the convenience of the reader and are not intended in any way to limit the various embodiments of the application. Therefore, various embodiments of this application can be practiced in the absence of an exchange.

[0791] From the above description of the embodiments, it is apparent that the method of the above embodiments can be realized by means of a computer software product and general hardware platform, of course, it can also be realized by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disc, optical disc, etc.), and includes a plurality of instructions for making the terminal or network side equipment execute the method described in various embodiments of the present application.

[0792] The embodiments of the present application are described above in combination with the drawings, but the present application is not limited to the above specific embodiments, the above specific embodiments are only illustrative, but not limiting, and those skilled in the art can make many forms of embodiments under the inspiration of the present application without departing from the scope of the present application and the protection scope of the claims.

Claims

A data transmission method comprises: A first device performs a first operation on first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on sensing measurement; The first device sends the second measurement data to a second device. The method of claim 1, wherein, The first information comprises at least one of: A probability distribution feature parameter of the first measurement data; First indication information determined based on the first measurement data, wherein the first indication information is used to indicate a target change degree, and the target change degree is a change degree of an output data range of the first processing relative to an input data range, and the first operation comprises the first processing; A sensing-related index value determined based on the first measurement data; A number of reported measurement data determined based on the first measurement data; A data amount of reported measurement data determined based on the first measurement data; A quantization bit number of the first measurement data; A quantization error of the first measurement data; An average bit number corresponding to the first measurement data. The method according to claim 1 or 2, wherein The sensing configuration information comprises at least one of: A threshold value of a sensing-related index; A maximum number of reported measurement data; A maximum data amount of reported measurement data; A maximum value of a quantization bit number of reported measurement data; A maximum quantization error of reported measurement data; A maximum value of an average bit number corresponding to reported measurement data; An available quantization scheme; An available normalization scheme; An available source coding scheme; A triggering event of quantization; A triggering event of the first processing; A triggering event of source coding. The method of claim 3, wherein, The threshold value of the sensing-related index comprises at least one of: A minimum value of the sensing-related index; A threshold value of a difference value of the sensing-related index corresponding to measurement data after quantization relative to the sensing-related index corresponding to measurement data before quantization; A threshold value of a difference value of the sensing-related index corresponding to measurement data after source coding relative to the sensing-related index corresponding to measurement data before source coding. The method of any one of claims 1-4, wherein The first operation comprises at least one of: The first processing; normalization; quantization; source coding; Wherein the measurement data after the first processing is determined based on a difference value between a first part of data and a second part of data, the first part of data is part of the measurement data in the first measurement data, and the second part of data is measurement data in the first measurement data except the first part of data. The method of claim 5, wherein, The first device performs a first operation on the first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, comprising: The first device determines second information corresponding to the first measurement data based on at least one of first information and sensing configuration information; The first device performs a first operation on the first measurement data based on the second information, to obtain second measurement data; Wherein the second information is used to indicate at least one of: Whether to perform the first processing; whether to perform quantization; a quantization scheme; a quantization object; a quantization bit number; whether to perform normalization; a normalization scheme; whether to perform source coding; a source coding scheme. The method of claim 6, wherein, The first device determines second information corresponding to the first measurement data based on at least one of the first information and the sensing configuration information, including: The first device determines second information corresponding to the first measurement data based on whether the first information meets the reporting requirement corresponding to the sensing configuration information. The method of any one of claims 2-7, wherein, The first processing includes: Determining a first subset from a first set, the first set being determined based on the first measurement data, the first subset including part of the measurement data in the first set; Determining a second set, the second set being the measurement data in the first set except the first subset; Determining a difference between the measurement data in the second set and the measurement data in the first subset; Wherein, the measurement data after the first processing is the difference. The method of any one of claims 2-7, wherein, The first processing includes: Determining the first measurement data at a first time and the first measurement data at a second time from a first set, the first set being determined based on the first measurement data; Determining a difference between the first measurement data at the second time and the first measurement data at the first time; Wherein, the measurement data after the first processing is the difference. The method according to claim 8 or 9, wherein The first set is any one of: A set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing, OFDM, symbols of a plurality of antennas in the first measurement data; A set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data; A set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data; A set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of a plurality of antennas in the first measurement data; A set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of one antenna in the first measurement data; A set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data; A set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data; A set of measurement data corresponding to a plurality of dopplers of a plurality of antennas in the first measurement data; A set of measurement data corresponding to a plurality of dopplers of one antenna in the first measurement data. The method of any one of claims 1-10, wherein The first operation includes: Obtaining a maximum value of the measurement data in one or more third sets; Determining a ratio of each measurement data in the third set to the maximum value to obtain a processed third set; Quantizing the measurement data in the processed third set according to a number of quantization bits to obtain quantized measurement data; Obtaining second measurement data based on the quantized measurement data; Wherein, the third set is any one of: A set of measurement data corresponding to a plurality of OFDM symbols of a plurality of antennas in the first measurement data or the measurement data after the first processing; A set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data or the measurement data after the first processing; A set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing; a plurality of sets of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data or the measurement data after the first processing. The method of claim 11, wherein, The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the measurement data in the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data. The method further comprises: determining whether to perform source coding based on the distribution characteristics of the quantized measurement data; The method according to claim 11 or 12, wherein in a case where it is determined to perform source coding, performing source coding on the quantized measurement data to obtain second measurement data. In a case where the first operation comprises normalization and the number of the third sets is a plurality, the method further comprises any one of the following: the first device sends, to the second device, a maximum value of measurement data in each of the third sets; The method of any one of claims 1-13, wherein the first device sends, to the second device, a correlation relationship of maximum values of measurement data in the plurality of third sets. The method further comprises: the first device receives the sensing configuration information sent by the second device. A data transmission method comprises: the second device receives second measurement data sent by the first device; the second device performs a second operation on the second measurement data to obtain third measurement data; The method of claim 15, wherein, wherein the second operation is determined based on at least one of first information and sensing configuration information, the first information being used to represent characteristics corresponding to first measurement data obtained by sensing measurement. The method further comprises: the second device sends the sensing configuration information to the first device; wherein the sensing configuration information comprises at least one of the following: a threshold value of a sensing-related index; a maximum number of reported measurement data; a maximum data volume of reported measurement data; a maximum value of quantization bit numbers of reported measurement data; a maximum quantization error of reported measurement data; a maximum average bit number corresponding to reported measurement data; an available quantization scheme; an available normalization scheme; an available source coding scheme; a triggering event of quantization; a triggering event of the first processing; The method of claim 16, wherein, a triggering event of source coding. The threshold value of the sensing-related index comprises at least one of the following: a minimum value of the sensing-related index; a threshold value of a difference between the perception-related index corresponding to the measurement data after quantization and the perception-related index corresponding to the measurement data before quantization; a threshold value of a difference between the perception-related index corresponding to the measurement data after source coding and the perception-related index corresponding to the measurement data before source coding. The method of any one of claims 15-17, wherein, The method further comprises: The second device receives second information sent by the first device; The second device performs a second operation on the second measurement data, comprising: The second device performs a second operation on the second measurement data based on the second information; The second information is used to indicate at least one of the following: whether to perform the first processing; whether to perform quantization; a quantization scheme; a quantization object; a number of quantization bits; whether to perform normalization; a normalization scheme; whether to perform source coding; and a source coding scheme. The method of any one of claims 15-18, wherein, The method further comprises any one of the following: The second device receives a maximum value of measurement data in each third set sent by the first device; The second device receives a correlation relationship of maximum values of measurement data in multiple third sets sent by the first device; The second device performs a second operation on the second measurement data, comprising: The second device performs a second operation on the second measurement data based on the maximum value of measurement data in each third set or the correlation relationship; The third set is any one of the following: a set of measurement data corresponding to multiple OFDM symbols of multiple antennas in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple OFDM symbols of one antenna in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple antennas and multiple subcarriers of one OFDM symbol in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple time delays and multiple Dopplers of multiple antennas in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple time delays and multiple Dopplers of one antenna in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple time delays of multiple antennas in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple time delays of one antenna in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple Dopplers of multiple antennas in the first measurement data or measurement data after the first processing; a set of measurement data corresponding to multiple Dopplers of one antenna in the first measurement data or measurement data after the first processing; The measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data being part of the measurement data in the first measurement data, and the second part of data being measurement data in the first measurement data other than the first part of data. A data transmission apparatus, comprising: The processing module is configured to perform a first operation on the first measurement data based on at least one of the first information and the perception configuration information, to obtain second measurement data, wherein the first information is used to represent a feature corresponding to the first measurement data, and the first measurement data is obtained based on a perception measurement. The sending module is configured to send the second measurement data to a second device. The apparatus of claim 20, wherein The first information includes at least one of the following: a probability distribution feature parameter of the first measurement data; first indication information determined based on the first measurement data, wherein the first indication information is used to indicate a target change degree, and the target change degree is a change degree of an output data range of the first processing relative to an input data range, and the first operation includes the first processing; a perception-related index value determined based on the first measurement data; a number of reported measurement data determined based on the first measurement data; a data amount of reported measurement data determined based on the first measurement data; a quantization bit number of the first measurement data; a quantization error of the first measurement data; an average bit number corresponding to the first measurement data. The apparatus of claim 20 or 21, wherein The perception configuration information includes at least one of the following: a threshold value of a perception-related index; a maximum number of reported measurement data; a maximum data amount of reported measurement data; a maximum value of a quantization bit number of reported measurement data; a maximum quantization error of reported measurement data; a maximum value of an average bit number corresponding to reported measurement data; an available quantization scheme; an available normalization scheme; an available source coding scheme; a triggering event of quantization; a triggering event of the first processing; a triggering event of source coding. The apparatus of any one of claims 20-22, wherein The first operation includes at least one of the following: the first processing; normalization; quantization; source coding; wherein the measurement data after the first processing is determined based on a difference between a first part of data and a second part of data, the first part of data is part of the measurement data in the first measurement data, and the second part of data is measurement data in the first measurement data other than the first part of data. The apparatus of any one of claims 20-23, wherein The processing module is specifically configured to: determine second information corresponding to the first measurement data based on at least one of the first information and the perception configuration information; perform the first operation on the first measurement data based on the second information, to obtain second measurement data; wherein the second information is used to indicate at least one of the following: whether to perform the first processing; whether to perform quantization; a quantization scheme; a quantization object; a quantization bit number; whether to perform normalization; a normalization scheme; whether to perform source coding; and a source coding scheme. The apparatus of claim 24, wherein The processing module is specifically configured to: determine the second information corresponding to the first measurement data based on whether the first information meets a reporting requirement corresponding to the perception configuration information. A data transmission apparatus includes: a receiving module configured to receive second measurement data sent by a first device; a processing module configured to perform a second operation on the second measurement data, to obtain third measurement data; wherein the second operation is determined based on at least one of first information and perception configuration information, and the first information is used to represent a feature corresponding to first measurement data obtained by a perception measurement. The apparatus of claim 26, wherein The apparatus further includes: The sending module is configured to send the sensing configuration information to the first device. The sensing configuration information comprises at least one of the following: a threshold value of a sensing-related index; a maximum number of reported measurement data; a maximum data volume of reported measurement data; a maximum value of quantization bit number of reported measurement data; a maximum quantization error of reported measurement data; a maximum value of average bit number corresponding to reported measurement data; an available quantization scheme; an available normalization scheme; an available source coding scheme; a triggering event of quantization; a triggering event of first processing; a triggering event of source coding. A communication device comprising a processor and a memory, the memory storing programs or instructions executable on the processor, the programs or instructions being executed by the processor to implement the steps of the data transmission method according to any one of claims 1-14, or to implement the steps of the data transmission method according to any one of claims 15-19. A readable storage medium having stored thereon programs or instructions, the programs or instructions being executed by a processor to implement the steps of the data transmission method according to any one of claims 1-14, or to implement the steps of the data transmission method according to any one of claims 15-19. A computer program / program product, the computer program / program product being executed by at least one processor to implement the steps of the data transmission method according to any one of claims 1-14, or to implement the steps of the data transmission method according to any one of claims 15-19. A first device comprising a processor and a communication interface, wherein The processor is configured to perform a first operation on first measurement data based on at least one of first information and sensing configuration information, to obtain second measurement data, the first information being used to represent a feature corresponding to the first measurement data, the first measurement data being obtained based on sensing measurement; The communication interface is configured to send the second measurement data to a second device. A second device comprising a processor and a communication interface, wherein The communication interface is configured to receive second measurement data sent by a first device; The processor is configured to perform a second operation on the second measurement data, to obtain third measurement data; The second operation is determined based on at least one of first information and sensing configuration information, the first information being used to represent a feature corresponding to first measurement data obtained by sensing measurement. A wireless communication system comprising: A first device and a second device, the first device being configured to implement the steps of the data transmission method according to any one of claims 1-14, and the second device being configured to implement the steps of the data transmission method according to any one of claims 15-19. A chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being configured to run programs or instructions to implement the steps of the data transmission method according to any one of claims 1-14, or to implement the steps of the data transmission method according to any one of claims 15-19.

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