Data transmission methods and apparatuses, first device and second device

Abstract

The present application belongs to the technical field of communications. Disclosed are data transmission methods and apparatuses, a first device and a second device. A data transmission method of the embodiments of the present application comprises: a first device processes first sensing measurement data on the basis of first sensing configuration information, so as to obtain second sensing measurement data, the first sensing configuration information comprising at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window or a data processing window indication, the data processing window indication being used for indicating the data processing window; and the first device sends the second sensing measurement data.

Description

Data transmission method and apparatus, first device, and second device

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese Patent Application No. 202411352080.7, filed September 26, 2024, the entire contents of which are incorporated herein by reference. TECHNICAL FIELD

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

[0004] In a communication and perception fusion scenario, a perception device (e.g., a user equipment (UE) or a base station, etc.) often needs to send perception measurement data obtained by a perception measurement to other devices, such as other perception devices or perception function nodes, etc. However, in the related art, the perception device often directly sends the perception measurement data obtained by the perception measurement to the other devices, resulting in a large resource overhead. SUMMARY

[0005] Embodiments of the present application provide a data transmission method and apparatus, a first device, and a second device, which can reduce the resource overhead of perception measurement data transmission.

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

[0007] The first device processes first perception measurement data according to first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication; the data processing window indication is used to indicate the data processing window.

[0008] The first device sends the second perception measurement data.

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

[0010] A processing module is configured to process first perception measurement data according to first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication; the data processing window indication is used to indicate the data processing window.

[0011] A sending module is configured to send the second perception measurement data.

[0012] In a third aspect, a data transmission method is provided, the method comprising:

[0013] The second device sends first sensing configuration information to the first device; wherein the first sensing configuration information is used for processing sensing measurement data, and the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication used for indicating the data processing window.

[0014] In a fourth aspect, a data transmission apparatus is provided, the apparatus comprising:

[0015] The sending module is configured to send first sensing configuration information to the first device; wherein the first sensing configuration information is used for processing sensing measurement data, and the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication used for indicating the data processing window.

[0016] In a fifth aspect, a data transmission apparatus is provided, the apparatus being configured to perform the steps of the method of the first aspect, or to implement the steps of the method of the third aspect.

[0017] In a sixth aspect, a first device is provided, the first device comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions being executed by the processor to implement the steps of the method of the first aspect.

[0018] In a seventh aspect, a first device is provided, the first device comprising a processor and a communication interface, wherein the processor is configured to process first sensing measurement data according to first sensing configuration information to obtain second sensing measurement data; wherein the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication used for indicating the data processing window.

[0019] The communication interface is configured to send the second sensing measurement data.

[0020] In an eighth aspect, a second device is provided, the second device comprising a processor and a memory, the memory storing a program or instructions executable on the processor, the program or instructions being executed by the processor to implement the steps of the method of the third aspect.

[0021] In a ninth aspect, a second device is provided, comprising a processor and a communication interface, wherein the communication interface is configured to send first sensing configuration information to a first device; wherein the first sensing configuration information is used for processing sensing measurement data, and the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication used for indicating the data processing window.

[0022] In a tenth aspect, a readable storage medium is provided, wherein a program or instruction is stored on the readable storage medium, and the program or instruction is executed by a processor to implement the steps of the method according to the first aspect or the steps of the method according to the third aspect.

[0023] In an eleventh aspect, a wireless communication system is provided, comprising a first device and a second device, wherein the first device is configured to implement the steps of the data transmission method according to the first aspect, and the second device is configured to implement the steps of the data transmission method according to the third aspect.

[0024] In a twelfth aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to run a program or instruction to implement the steps of the method according to the first aspect or the steps of the method according to the third aspect.

[0025] In a thirteenth aspect, a computer program / program product is provided, wherein the computer program / program product is stored in a storage medium, and the computer program / program product is executed by at least one processor to implement the steps of the method according to the first aspect or the steps of the method according to the third aspect.

[0026] In the embodiments of the present application, the first device processes the first sensing measurement data according to the first sensing configuration information to obtain second sensing measurement data, wherein the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication used for indicating the data processing window; and the second sensing measurement data is sent. In the embodiments of the present application, the first device performs at least one of normalization, quantization, and source coding on the first sensing measurement data based on the first sensing configuration information, which is advantageous to reduce the size of the sensing measurement data to be transmitted, and further advantageous to reduce the resource cost of the sensing measurement data transmission. BRIEF DESCRIPTION OF DRAWINGS

[0027] FIG. 1 is a block diagram of a wireless communication system to which embodiments of the present application can be applied;

[0028] FIG. 2 is a schematic diagram of different sensing manners of communication and sensing fusion according to an embodiment of the present application;

[0029] FIG. 3 is a schematic diagram of a data plane protocol stack of UE-RAN according to an embodiment of the present application;

[0030] FIG. 4 is a schematic diagram of time domain target range detection according to an embodiment of the present application;

[0031] FIG. 5 is a schematic diagram of time delay-Doppler domain target range detection according to an embodiment of the present application;

[0032] FIG. 6 is a flowchart of a data transmission method according to an embodiment of the present application;

[0033] FIG. 7a is a schematic diagram of probability density distribution of a real part of data according to an embodiment of the present application;

[0034] FIG. 7b is a schematic diagram of probability density distribution of an imaginary part of data according to an embodiment of the present application;

[0035] FIG. 7c is a schematic diagram of probability density distribution of a magnitude of data according to an embodiment of the present application;

[0036] FIG. 7d is a schematic diagram of probability density distribution of a phase of data according to an embodiment of the present application;

[0037] FIG. 8 is a flowchart of another data transmission method according to an embodiment of the present application;

[0038] FIG. 9 is a flowchart of another data transmission method according to an embodiment of the present application;

[0039] FIG. 10 is a flowchart of another data transmission method according to an embodiment of the present application;

[0040] FIG. 11 is a structural diagram of a data transmission apparatus according to an embodiment of the present application;

[0041] FIG. 12 is a structural diagram of another data transmission apparatus according to an embodiment of the present application;

[0042] FIG. 13 is a structural diagram of a communication device according to an embodiment of the present application;

[0043] FIG. 14 is a structural diagram of a terminal according to an embodiment of the present application;

[0044] FIG. 15 is a structural diagram of a network side device according to an embodiment of the present application;

[0045] FIG. 16 is a structural diagram of another network side device according to an embodiment of the present application. DETAILED DESCRIPTION

[0046] With reference to the drawings and the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly described. Obviously, the described embodiments are only some of the embodiments of the present application, but not all of the embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those of ordinary skill in the art are within the scope of the present application.

[0047] The terms "first", "second", and the like in the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second" are generally a class, and are not limited to the number of objects, for example, the first object can be one or more. In addition, "or" in the present application means at least one of the connected objects. For example, the protection scope of "A or B" at least covers three schemes, namely, scheme one: including A and not including B; scheme two: including B and not including A; scheme three: including A and B. In addition, the terms "A and / or B", "at least one of A and B", "at least one of A or B" also at least cover the above three schemes, respectively. The character " / " generally represents that the objects before and after are in an "or" relationship.

[0048] The term "indication" in the present application can be a direct indication (or explicit indication) or an indirect indication (or implicit indication). Among them, the direct indication can be understood as that the sender explicitly informs the receiver of specific information, operation to be performed or request 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 request result according to the judgment result.

[0049] 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

[0050] ​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.

[0051] 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.

[0052] 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, software function modules running on a dedicated hardware, or virtualized function modules instantiated on a platform (for example, a cloud platform).

[0053] For the convenience of understanding, some contents related to the embodiments of the present application are described as follows:

[0054] I. Integrated sensing and communication

[0055] 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), radar and communication integration, etc. Each application has different requirements, limitations, and regulatory issues. ISAC has attracted great research interest and attention from academia and industry.

[0056] 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) improved efficiency and reduced cost. The advantages of integrated sensing and communication mainly include three aspects: 1) reduced device cost and size, 2) improved spectrum utilization, and 3) improved system performance.

[0057] In the embodiments of the present application, the typical integrated sensing and communication scenarios that can be expected to be achieved according to the technical upgrade of the communication system architecture are exemplarily shown in Table 1 as follows.

[0058] Table 1: Typical integrated sensing and communication scenarios

[0059] 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:

[0060] 1) Base station self-generated and self-received sensing: In this sensing mode, base station A transmits a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0061] 2) Inter-BS air interface sensing: BS B receives the sensing signal sent by BS A, and performs sensing measurement;

[0062] 3) Uplink air interface sensing: BS A receives the sensing signal sent by terminal A, and performs sensing measurement;

[0063] 4) Downlink air interface sensing: terminal B receives the sensing signal sent by BS B, and performs sensing measurement;

[0064] 5) Terminal self-sensing: terminal A sends a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0065] 6) Inter-terminal Sidelink sensing: terminal B receives the sensing signal sent by terminal A, and performs sensing measurement.

[0066] It is worth noting that each sensing method in Figure 2 takes one sensing signal sending 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 sending 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.

[0067] II. Quantization method and source coding method

[0068] Quantization is the discretization of 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 compression and expansion, etc. Therefore, A-law and μ-law quantizers are also commonly known as A-law compression and μ-law compression.

[0069] 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 (for example, by an algorithm). A common method is to divide the maximum value of the absolute value of the data set sample, thereby limiting the numerical range to [-1, 1] or [0, 1]. The greater the value of mu, the higher the compression benefit of small signals. The smaller the value of mu, the closer to uniform quantization.

[0070] 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, to transform the source output symbol sequence into the shortest code word sequence, so that the average information carried by each code element of the latter is maximized, while ensuring that the original symbol sequence can be recovered without distortion.

[0071] 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 (i.e., 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.

[0072] III. Data Plane

[0073] 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.

[0074] IV. Perception-related Indicators

[0075] The perception-related indicators include at least one of the following:

[0076] 1. Receive power-related indicators, including:

[0077] The first index (perceived target associated path received power): the linear average value (unit: W) of the received power of the path associated with the perceived target in the channel response measured by the first signal on the resource unit carrying the first signal. The resource unit is the time domain and / or the frequency domain resource unit; the first signal can be a perceived signal such as a dedicated signal for a perceived service, or a communication signal such as a reference signal, a synchronization signal, etc.

[0078] 2. The index related to the interference and noise power, including:

[0079] The second index: the linear average value (unit: W) of the power of the path other than the path associated with the perceived target in the channel response of the first signal on the target resource, and the sum of 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 high layer signaling);

[0080] The second index = total received power - the first index; wherein the total received power can be represented as: the linear average value (unit: W) of the total received power (including the received power of the signals of the serving cell and the non-serving cell, the adjacent channel interference and the thermal noise, etc.) on the target resource; or the total received power = RSSI*K1, K1 is a coefficient, the measurement resource of the received signal strength indication (RSSI) is the target resource or other resource (for example, the resource configured by the high layer signaling), and the RSSI definition can be referred to 3GPP TS38.215;

[0081] The third index: the linear average value (unit: 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 high layer signaling); wherein the target resource can be the time-frequency domain resource unit carrying the first signal;

[0082] The third index = total received power - first signal received power; wherein the first signal received power is the reference signal received power (RSRP) of the first signal, and the RSRP definition can be referred to TS38.215.

[0083] The fourth index: the linear average value (unit: W) of the power of the path other than the path associated with the perceived target in the channel response of the first signal on the target resource;

[0084] The fourth index = RSRP of the first signal - the first index.

[0085] 3. Several indexes related to the Signal to Interference Plus Noise Ratio (SINR) / Signal Noise Ratio (SNR) / Signal-to-Interference Ratio (SIR) / Reference Signal Received Quality (RSRQ) of the sensing signal, including:

[0086] The fifth index (i.e., the first kind of sensing SINR / SNR / SIR) = the first index / the second index;

[0087] The sixth index (i.e., the second kind of sensing SINR / SNR / SIR) = the first index / the third index;

[0088] The seventh index (i.e., the third kind of sensing SINR / SNR / SIR) = the first index / the fourth index;

[0089] The eighth index (i.e., the sensing RSRQ) = K2*the first index / total received power, K2 being a coefficient.

[0090] Wherein, the definition of the sensing target correlation path and the calculation method of each index are as follows:

[0091] 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. Wherein, the LOS path can be considered as the first-arriving path under normal circumstances (satisfying the LOS condition between the signal transmitting and receiving devices), and the target path refers to the path associated with the part of the signal propagation reflected by the sensing target. The process of transforming the channel response H(k) into the first domain after the terminal obtains the channel response H(k) also includes specific pre-processing (such as clutter elimination, smoothing filtering, etc.) of the channel data in the first domain, and then determining the target path in the first domain.

[0092] Wherein, the first domain includes one of the following:

[0093] Delay domain;

[0094] Doppler domain;

[0095] Azimuth angle domain;

[0096] elevation angle domain (zenith angle domain);

[0097] a domain combining at least two of the delay domain, the Doppler domain, the azimuth angle domain and the elevation angle domain, for example, a delay-Doppler domain, a delay-Doppler-angle domain, etc.

[0098] 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 domain (the first domain) 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 OFDM symbol index), which can be transformed into a delay-Doppler domain (the first domain) by inverse Fourier transform along the frequency domain and Fourier transform along the time domain; 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 (an antenna index or a port index), which can be transformed into a delay-Doppler-angle domain (the first domain) by inverse Fourier transform along the frequency domain, Fourier transform along the time domain and Fourier transform along the antenna domain.

[0099] wherein the target path refers to a path associated with a reflection of a sensing target in signal propagation, and a specific determination method can be according to a path in the channel information of the first domain satisfying a first condition, and the first condition includes at least one of:

[0100] 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 of a noise threshold, or the preset threshold is a constant false alarm rate (CFAR) detection threshold.

[0101] Optionally, the path whose amplitude or power exceeds the preset threshold or is within the preset interval range can be further screened, for example, a clustering process is performed, at least one path in multiple paths reflected by the same target is selected as a target path, or multiple paths belonging to the same target are combined, for example, weighted combination to obtain a target path.

[0102] 2) the amplitude or power of the path is greater than that of other paths within a specific interval range in 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 in the first domain.

[0103] 3) Doppler of the path exceeds a preset threshold or is located in a preset interval range.

[0104] 4) Time delay of the path exceeds a preset threshold or is located in a preset interval range.

[0105] 5) Angle of the path exceeds a preset threshold or is located in a preset interval range.

[0106] 6) 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., a Reconfigurable Intelligence Surface (RIS) / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is located in a preset interval range.

[0107] 7) 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., a RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is located in a preset interval range.

[0108] 8) 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., a RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is located in a preset interval range.

[0109] 9) 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., a RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is located in a preset interval range.

[0110] 10) Amplitude or power or phase of the path satisfies a specific modulation rule, which is a modulation rule of a Tag / backscatter device or a RIS, i.e., a path associated with a perceived target can be a path modulated and reflected by a Tag / backscatter device or a RIS.

[0111] It should be noted that each of the above first conditions can also be set according to 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 corresponding preset threshold or being located in a corresponding preset interval range reaches a corresponding 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 corresponding preset threshold or are located in a corresponding preset interval range reaches a corresponding preset number within a preset time window.

[0112] The preset threshold or preset interval range can be sent to the terminal by other devices, and the other devices determine the preset threshold or preset interval range according to target prior information or sensing demand; or the preset threshold or preset interval range can be determined by the terminal according to target prior information or sensing demand.

[0113] The sensing prior information or sensing demand includes the following information:

[0114] The sensing service or sensing service type can be, for example, detection of whether a target exists, positioning, trajectory tracking, 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 distance sensing, medium distance sensing, and long distance sensing), according to a sensing precision (coarse granularity sensing and fine granularity 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 a highway scene target detection, the target speed should be in the range of 60 km / h-150 km / h, which can be used as sensing prior information.

[0115] The 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.

[0116] The sensing object type classifies sensing objects according to possible motion characteristics of the sensing objects. Each sensing object type includes information such as a typical motion speed range, a typical motion acceleration range, and a typical RCS range of a typical sensing object.

[0117] 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.

[0118] Quality of Service (QoS) of perception: a performance index of perception on a target area or a perception object, including at least one of the following:

[0119] Perception resolution (further divided into: ranging resolution, angle resolution, velocity resolution, imaging resolution, etc.);

[0120] Perception accuracy (further divided into: ranging accuracy, angle accuracy, velocity accuracy, positioning accuracy, etc.);

[0121] Perception range (further divided into: ranging range, velocity range, angle range, imaging range, etc.);

[0122] Perception time delay (the time interval from sending a perception signal to obtaining a perception result, or the time interval from initiating a perception requirement to obtaining a perception result);

[0123] Perception update rate (the time interval between two adjacent perception executions and obtaining a perception result);

[0124] Detection probability (the probability of being correctly detected in the presence of a perception object);

[0125] False alarm probability (the probability of falsely detecting a perception target in the absence of a perception object);

[0126] Maximum number of perceivable targets.

[0127] Taking time delay domain target range selection as an example, as shown in FIG. 4, according to the first condition 1, the ranges whose amplitudes exceed a preset threshold are determined to be satisfied, and the ranges 0, 1 and 2 are obtained through clustering processing and further screening.

[0128] Alternatively, a plurality of ranges belonging to the same target after clustering can be merged, for example, weighted to obtain a target range;

[0129] Alternatively, according to the first condition 2, local peak value detection is performed to obtain the target ranges 0, 1 and 2. That is, the range with the largest amplitude or power compared with X (X≥1) adjacent ranges is found as the target range; optionally, before the local peak value detection, the channel data in the time delay domain is preprocessed through smoothing filtering or clutter elimination.

[0130] Alternatively, taking time delay-Doppler domain target range selection as an example, as shown in FIG. 5, according to the first condition 2, local peak value detection is performed to obtain the target ranges 0 and 1.

[0131] For frequency range 1, the reference point of the first index 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 index measured and reported by the receiving device cannot be lower than the index of any single receiving channel. For frequency range 2, the first index measured by a certain receiving channel needs to be measured on the combined signal on multiple antenna elements corresponding to the receiving channel.

[0132] In some optional embodiments, the first index is calculated as follows:

[0133] 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 can be taken as the first index, 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.

[0134] In some optional embodiments, the calculation of the received power of the first signal can be as follows:

[0135] 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.

[0136] In some other optional embodiments, the calculation of the received power of the first signal can be as follows:

[0137] 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.

[0138] In some optional embodiments, the total received power is calculated as follows:

[0139] The total received power

[0140] In some optional embodiments, the second index is calculated as follows:

[0141] 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) and the first signal X(k) is calculated. filter1(k), i.e., Y filter1 (k)=H filter1 (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.

[0142] 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.

[0143] In some optional embodiments, the third indicator is calculated as follows:

[0144] 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.

[0145] 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.

[0146] In some alternative embodiments, the third indicator is calculated as follows:

[0147] 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 Wherein N represents the number of first-dimension sampling points.

[0148] 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:

[0149] Method 1: Calculate the target index of each sensing target respectively. For example, in FIG. 4, determine the radius associated with each sensing target respectively, and then calculate the respective target index corresponding to each sensing target; at this time, when calculating the second index corresponding to a sensing target (such as sensing target A), there are two methods: the second index of sensing target A = total received power - first index of sensing target A; or, if there are two sensing targets in total: A and B, then the second index of sensing target A = total received power - first index of sensing target A - first index of sensing target B; similarly, there are two ways to calculate the fourth index: the fourth index of sensing target A = RSRP of the first signal - first index of sensing target A; or, if there are two sensing targets in total: A and B, then the fourth index of sensing target A = RSRP of the first signal - first index of sensing target A - first index of sensing target B.

[0150] Method 2: Calculate a target index for multiple sensing targets. For example, in FIG. 8, determine the radius associated with any sensing target, and then use all these radii as target radii; which is equivalent to regarding multiple sensing targets as a virtual sensing target, and then calculating the target index corresponding to the virtual sensing target.

[0151] Five, sensing measurement data

[0152] The sensing measurement data in this embodiment is generated by a sensing 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 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 and fourth level measurement quantities below are also commonly referred to as sensing results. The measurement results of the second level and / or first level measurement quantities are also referred to as sensing measurement data.

[0153] a) 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 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.);

[0154] b) second level measurement (basic measurement), including: time delay, Doppler, angle, signal strength, and their multi-dimensional combination representation;

[0155] c) third level measurement (basic attribute / state), including: distance, speed, angle / orientation, Radar Cross Section (RCS), acceleration;

[0156] d) 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.

[0157] Five, sensing function or sensing function node

[0158] The sensing function or sensing function node includes at least one of the following functions:

[0159] Receiving a sensing service request, determining the required sensing measurement according to the sensing service request;

[0160] Receiving sensing measurement results (also known as sensing measurement data, i.e. the value of sensing measurement), generating sensing results (third level measurement);

[0161] Sending sensing results, responding to sensing service requests;

[0162] Control of sensing service quality (QoS), i.e. control of sensing related nodes to meet sensing service QoS requirements;

[0163] Determination of 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 UE (such as mobile phone). Wherein the sensing assistant node refers to the sensing information such as other sensors and the like for providing sensing assistance, geographic position information and the like for improving the performance of wireless sensing;

[0164] Determination of sensing link or sensing mode, wherein the sensing link can include Uu link (base station sends / UE receives or base station receives / UE sends), sidelink (inter-UE transceiver), echo link (base station self-sending self-receiving, UE self-sending self-receiving), inter-base-station transceiver link (inter-base-station transceiver);The sensing mode can include base station sending UE receiving, UE sending base station receiving, base station self-sending self-receiving, inter-UE transceiver, inter-base-station transceiver, UE self-sending self-receiving;

[0165] Determination of sensing signal, potential sensing signal includes reference signal and data signal, wherein the reference signal can be communication reference signal or sensing dedicated reference signal;

[0166] Determination of time-frequency resource used for sensing, potential sensing resource includes time-frequency resource (such as guard band) not used in communication, time-frequency resource (such as reference signal or data signal) commonly used in communication, and time-frequency resource dedicated for sensing. Further, the configuration of sensing signal needs to be determined, potential configuration includes time, frequency and spatial domain resource information of sensing signal. If the node determining sensing time-frequency resource is not the transmitting node of sensing signal, the sensing signal configuration is sent to the sensing signal transmitting node;

[0167] Determination of configuration of sensing measurement quantity, potential configuration includes indication of sensing signal to be measured, number or time of sensing signal to be measured, reporting indication of measurement result (i.e. sensing measurement data) and the like. If the node determining sensing measurement quantity configuration is not the receiving and measuring node of sensing signal, the sensing measurement quantity configuration is sent to the sensing signal receiving node;

[0168] Determination and configuration of transmission channel for reporting of sensing measurement result, including establishment, modification or release of transmission channel and the like;

[0169] The AMF is determined 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. In at least one of the following cases, the perception function node needs to determine the AMF: 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 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 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 TA) of the perception node required to transmit the 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 AMF UE NGAP ID) and the like.

[0170] The data transmission method provided by the embodiments of the present application will be described in detail below in combination with the accompanying drawings and some embodiments and application scenarios.

[0171] Please refer to FIG. 6, which is a flowchart of a data transmission method provided by an embodiment of the present application. The method can be executed by a first device. As shown in FIG. 6, the method comprises the following steps:

[0172] In step 601, the first device processes first perception measurement data according to first perception configuration information to obtain second perception measurement data. The first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication. The data processing window indication is used to indicate the data processing window.

[0173] The first device can be a terminal or a base station. The first perception measurement data can be perception measurement data obtained by the first device through perception measurement, or can be perception measurement data received by the first device. For example, the first device is a base station, and the first perception measurement data is perception measurement data received by the base station from a terminal and needs to be sent to a perception function node. It should be noted that the related content of the perception measurement data in the present embodiment can be referred to the foregoing related description of the perception measurement data, which will not be repeated here.

[0174] The normalization parameter is used for normalization-related processing of the first perception measurement data. For example, the normalization parameter can include but is not limited to at least one of a normalization window, indication information for indicating whether to report the maximum value for normalization, and the like.

[0175] The quantization parameter is used for quantizing the first perception measurement data. For example, the quantization parameter can include at least one of a quantization method, a quantization object, a quantization bit number, and the like.

[0176] The source coding parameter is used for source coding the first perception measurement data. For example, the source coding parameter can include at least one of a source coding method, a compression rate, and the like.

[0177] The data processing window can be used to indicate a data set for each data processing or normalization. For example, if a data set composed of N×M×X perception measurement data of M Orthogonal Frequency Division Multiplexing (OFDM) symbols of N antennas is referred to as S1, and a data set composed of M×X perception measurement data of M OFDM symbols of each antenna is referred to as Qi, where i is the serial number of the antenna of 1, 2, …, N, the data processing window can be the data set S1 or the data set Qi. For example, each normalization is performed on all data in the data set S1.

[0178] The data processing window indication is used to indicate the data processing window. For example, the second device can indicate the data processing window by display. For example, the data processing window can be indicated by an IE. For example, 01 indicates that the data processing window is a data set composed of perception measurement data of each OFDM symbol (i.e., perception measurement data of X subcarriers of each OFDM symbol of N antennas), 10 indicates that the data processing window is a data set composed of perception measurement data of each antenna (i.e., perception measurement data of X subcarriers of M OFDM symbols of each antenna), and 11 indicates that the data processing window is a data set composed of perception measurement data of multiple OFDM symbols and multiple antennas (i.e., perception measurement data of X subcarriers of M OFDM symbols of N antennas). Alternatively, the data processing window can be indicated implicitly. For example, the data processing window can be indicated implicitly by at least one of a measurement object and a measurement report configuration.

[0179] Some or all of the parameters in the first perception configuration information can be configured by the second device, or some or all of the parameters in the first perception configuration information can be predefined by a protocol, or some or all of the parameters in the first perception configuration information can be determined by the first device. The second device can be a terminal, a base station, a perception function node, or the like.

[0180] It should be noted that in the case that part or all of the parameters in the first perception configuration information are determined by the first device, the first device can send part or all of the parameters in the first perception configuration information to the second device, so that the second device processes the perception measurement data processed by the first device based on part or all of the parameters in the first perception configuration information.

[0181] The first device processes the first perception measurement data according to the first perception configuration information can include at least one of normalizing, quantizing, source coding, etc. of the first perception measurement data by the first device according to the first perception configuration information.

[0182] Exemplarily, the first device or the second device can determine part or all of the parameters in the first perception configuration information according to the characteristics of the first perception measurement data.

[0183] It should be noted that different perception use cases have different processing of perception measurement data. Exemplarily, the perception use cases can be divided into the following categories according to the characteristics of the required perception measurement data:

[0184] 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, without joint processing of multiple OFDM symbol perception measurement data;

[0185] 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, without joint processing of multi-antenna data for angle estimation;

[0186] Point cloud or trajectory type, the feature of this type is that the perception result is calculated according to the perception measurement data of multiple time domain symbols and multiple antennas. For example, trajectory needs to be identified based on Doppler estimation for moving targets, and the position (such as position coordinates) of the perception target is obtained through distance estimation and angle. Point cloud usually includes three-dimensional coordinates (x, y, z), velocity and / or signal reflection intensity. If the perception target in the perception use case is a moving target or a stationary target, three-dimensional coordinates and velocity can be used to represent the moving target.

[0187] Since the process of obtaining perception results from 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 calculation of a perception result needs to be preserved in the process of perception measurement and perception data transmission. For example, for point cloud or trajectory-based perception, the value size relationship of perception measurement data of multiple antennas and multiple time domain symbols (such as OFDM symbols) needs to be preserved in the process of transmission of perception measurement data. That is, in the process of normalization or quantization, the perception measurement data that needs to be jointly processed can be processed as a data set. 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.

[0188] Therefore, the embodiment of the present application can determine the first configuration information according to the characteristic information of the perception measurement data, so that the first perception measurement data is processed based on the first configuration information and then transmitted, which is beneficial to reducing the resource overhead of perception measurement data transmission while ensuring the quality of perception services (such as perception accuracy).

[0189] Step 602, the first device transmits the second perception measurement data.

[0190] Exemplarily, the first device can transmit the second perception measurement data to the second device or the third device, and then the second device or the third device can process the second perception measurement data. For example, if the first device has performed source coding on the first perception measurement data, the second device or the third device can perform source decoding on the received second perception measurement data. If the first device has performed quantization processing on the first perception measurement data, that is, the above-mentioned second perception measurement data is quantized data, the second device or the third device can process the quantized data based on the quantization parameter to obtain the perception measurement data recovered from the quantized data.

[0191] The second device can be a device that transmits the first configuration information to the first device, and the second device can be a device for perception data processing, that is, the device for perception control is separated from the device for perception data processing.

[0192] That is, the first device can receive a sensing signal to obtain sensing measurement data through sensing measurement, and process the obtained sensing measurement data according to the sensing configuration information (for example, the first sensing configuration information), or the first device can receive the sensing measurement data, and process the received sensing measurement data according to the sensing configuration information (for example, the first sensing configuration information). The second device can be a node that sends the sensing configuration information (for example, the first sensing configuration information) and receives the sensing measurement data, for example, the second device sends the first sensing configuration information to the first device, and receives the sensing measurement data from the first device; or the second device can be a node that sends the sensing configuration information (for example, the first sensing configuration information), and the third device is a node that receives the sensing measurement data, for example, the second device sends the first sensing configuration information to the first device and the third device, and the third device receives the sensing measurement data from the first device.

[0193] For ease of understanding, the embodiments of the present application are described below in conjunction with examples:

[0194] Taking trajectory tracking as an example. It is assumed that in this sensing use case, M OFDM symbols of N antennas are configured for sensing measurement, and X subcarriers on each OFDM symbol are used for sensing. Here, the frequency domain channel estimation H or the delay Doppler is taken as an example of sensing measurement data. Since the sensing measurement data of channel estimation H or delay Doppler is a complex number, it can be represented by amplitude and phase, or by real part and imaginary part. For ease of 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. A data set composed of N×M×X sensing measurement data of M OFDM symbols of N antennas is referred to as S1; a data set composed of M×X sensing 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 following data set is taken as an example of division from the antenna dimension, and can also be divided by other dimensions (such as OFDM symbol, etc.), which is not limited in the present embodiment.

[0195] In order to meet the requirements of the trajectory tracking sensing use case, the sensing measurement data can be at least one of normalized, quantized, and source coded before being transmitted.

[0196] Implementation 1: Taking the data set S1 as a data processing window for processing and transmission, which can include the following steps:

[0197] Step a1, normalization.

[0198] Obtain the maximum value in S1. If the sensing measurement data is represented by mode 1, the maximum value is the maximum value A of all amplitude values in the data set S1 max , that is, Amax = max(A1, A2,... A8), where y = N x M x X. If the perception measurement data is represented in the way 2, the maximum value is the maximum value of the real part and the maximum value of the absolute value of the imaginary part in S1. The real part and the imaginary part are processed separately. If the perception measurement data is real number, it is processed in the same way as the real part or the imaginary part respectively.

[0199] Divide each perception measurement data in S1 by A max The range of the amplitude value is controlled in [0, 1], i.e. the maximum value is 1; or each perception measurement data in S1 is divided by the maximum value in the way 2 mentioned above, and the range of the value is controlled in [-1, 1], i.e. the maximum value is 1 and the minimum value is -1.

[0200] Step a2, quantization.

[0201] According to the number of quantization bits, the amplitude and the phase are quantized respectively. The optional quantization methods include uniform quantization, A-law or μ-law, etc. The amplitude and the phase can adopt the same quantization method, or can adopt different quantization methods.

[0202] Alternatively, according to the number of quantization bits, the real part and the imaginary part are quantized. The optional quantization methods include uniform quantization, A-law or μ-law, etc. The real part and the imaginary part can adopt the same quantization method, or can adopt different quantization methods. Since the characteristics of the real part and the imaginary part are similar, the same quantization method is generally adopted.

[0203] Step a3, source coding.

[0204] According to the distribution characteristics of the quantized data, etc., it is determined whether to perform source coding. For example, as shown in FIG. 7a and FIG. 7b, the value distribution of the real part and the imaginary part is concentrated around the value of 0, and thus the source coding can reduce the number of bits required for each perception measurement data. If the source coding is performed, the quantized perception measurement data is source coded.

[0205] It can be understood that, if the perception measurement data is not normalized and quantized, the perception measurement data without normalization and quantization can be source coded.

[0206] Step a4, transmitting the perception measurement data processed by at least one of the aforementioned steps a1 and a3 according to the transmission resource configuration.

[0207] Embodiment 2: transmitting the perception measurement data in the data set Q i Processing and transmission as a data processing window, i.e. from Q1 to Q N Processing each data set, which can include the following steps:

[0208] Step b1, normalization.

[0209] Obtain Q i The maximum value of all amplitude values in Q i . That is, A i-max = max(A1, A2,... A z ), where z = M x X. If the perceptual measurement data is represented in the manner 2, the maximum value is Q i , the maximum value of the real part and the maximum value of the absolute value of the imaginary part. The real part and the imaginary part are processed separately. If the perceptual measurement data is real, it is similar to the processing of the real part or the imaginary part respectively.

[0210] Divide each perceptual measurement data in the set Q i by A i-max Control the range of the amplitude value in [0, 1], that is, the maximum value is 1. Or divide each perceptual measurement data in the set Q i by the maximum value in the manner 2 mentioned above, control the numerical range in [-1, 1], that is, the maximum value is 1 and the minimum value is -1.

[0211] Step b2, quantization.

[0212] According to the number of quantization bits, the amplitude and the phase are quantized respectively. The optional quantization 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.

[0213] Or according to the number of quantization bits, the real part and the imaginary part are quantized. The optional quantization 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 similar, the same quantization method is generally adopted.

[0214] Step b3, source coding.

[0215] According to the distribution characteristics of the quantized data and the like, it is determined whether to perform source coding. For example, as shown in FIG. 7c, the numerical distribution of the amplitude is concentrated around the value 0, so that the number of bits required for each perceptual measurement data can be reduced through source coding. As shown in FIG. 7d, the phase is uniformly distributed between [-π, π], so that it is difficult to obtain gain through entropy coding, which is one of the source coding.

[0216] Step b4, transmit the perceptual measurement data according to the transmission resource configuration.

[0217] The perceptual measurement data transmitted in this embodiment not only includes the quantized perceptual measurement data or the source coded perceptual measurement data, but also includes the maximum value Ai-max .

[0218] It should be noted that the above process takes trajectory tracking as an example, if it is other perception use cases, then the maximum value in the normalization process is determined according to the characteristics of the perception measurement data required by the perception use case, whether the data processing window of the perception measurement data is determined.

[0219] In the embodiment of the application, the first device processes the first perception measurement data according to the first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information includes at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window or a data processing window indication; the data processing window indication is used to indicate the data processing window; and the second perception measurement data is transmitted, that is, in the embodiment of the application, the first device at least one of normalizes, quantizes and source codes the first perception measurement data based on the first perception configuration information, which is advantageous to reduce the size of the number of perception measurement data to be transmitted, and further advantageous to reduce the resource overhead of perception measurement data transmission.

[0220] Optionally, the quantization parameter includes at least one of the following: a quantization method or a quantization method indication, a quantization method related parameter, a quantization object or a quantization object indication, a quantization bit number, first indication information;

[0221] The quantization method indication is used to indicate the quantization method, the quantization object indication is used to indicate the quantization object, and the first indication information is used to indicate the first mapping table, the first mapping table is a mapping table in at least one mapping table preconfigured or pre-defined by a protocol, and each mapping table includes a mapping relationship between a value before quantization and a value after quantization.

[0222] For example, the above quantization method can include but is not limited to uniform quantization, A-law, mu-law and the like. The above A-law and mu-law quantization methods can be further subdivided, for example, the above A-law can include 13-fold line A-law and the like.

[0223] The above quantization method indication is used to indicate the quantization method, for example, two bits (bit) are used to indicate the quantization method, wherein 01 represents uniform quantization, 10 represents A-law, and 11 represents mu-law and the like. The above quantization method related parameter, that is, the parameter required by the above quantization method, for example, the mu value in the mu-law compression formula.

[0224] The above quantization object represents the object to be quantized, for example, when the perception measurement data is a complex number, the quantization object can include at least one of the amplitude, phase, real part and imaginary part.

[0225] The quantization object indicates an object to be quantized. For example, the quantization object can be indicated by an information element (IE) of 1 bit, where 0 indicates amplitude and phase, and 1 indicates real part and imaginary part.

[0226] The quantization bit number indicates a number of bits of the perception measurement data. For example, 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.

[0227] The first indication information indicates a first mapping table, which includes a mapping relationship between a value before quantization and a value after quantization. Thus, the value after quantization of each value in the perception measurement data can be quickly determined based on the first mapping table, so as to implement quantization of the perception measurement data. For example, the second device can pre-configure a plurality of mapping tables, and can select the first mapping table from the plurality of mapping tables according to the characteristic information of the first perception measurement data, and indicate the first mapping table to the first device. Thus, the first device can perform quantization based on the first mapping table.

[0228] Optionally, the quantization object includes 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.

[0229] Alternatively,

[0230] The quantization object includes at least one of amplitude, phase, real part, and imaginary part.

[0231] It should be noted that the first-level measurement quantity, the second-level measurement quantity, the third-level measurement quantity, and the fourth-level measurement quantity of the present embodiment can refer to the foregoing related descriptions of the first-level measurement quantity, the second-level measurement quantity, the third-level measurement quantity, and the fourth-level measurement quantity, and will not be described here.

[0232] It should be noted that the perception measurement data belonging to a complex number can be represented by amplitude and phase, or can be represented by real part and imaginary part. Therefore, the quantization object can include at least one of amplitude, phase, real part, and imaginary part.

[0233] Optionally, different mapping tables correspond to different first parameters, and the first parameter includes at least one of a quantization object, a quantization method, and a quantization bit number.

[0234] In the present embodiment, different mapping tables can be configured for different quantization objects, quantization methods, and quantization bit numbers. Thus, the quantization object, the quantization method, and the quantization bit number can be implicitly indicated based on the mapping table, which is beneficial to saving resource overhead of quantization parameter configuration.

[0235] The embodiment is described below in conjunction with examples:

[0236] Example 1: Table 2 shows an example of a mapping table using 6 quantization bits for amplitude quantization using a uniform quantization method. Alternatively, a mapping table can also be defined for phase, real part, or imaginary part, etc. According to different quantization methods and the number of quantization bits, multiple mapping tables can also be defined, and thus the mapping table used is indicated by the first indication information, which is a way of implicitly configuring the quantization method, quantization object, and quantization bits. The first device (e.g., terminal) quantizes the value of the perception measurement data according to the mapping table to obtain a quantized value, i.e., a quantization value, and the second device (e.g., base station) can obtain the value of the perception measurement data corresponding to the quantization value according to the mapping table.

[0237] Table 2

[0238] Example 2: Table 3 shows an example of a mapping table using 3 quantization bits for phase quantization using a uniform quantization method. Alternatively, a mapping table can also be defined for phase, real part, or imaginary part, etc. According to different quantization methods and the number of quantization bits, multiple mapping tables can also be defined, and thus the mapping table used is indicated by the first indication information, which is a way of implicitly configuring the quantization method, quantization object, and quantization bits. The first device (e.g., base station) quantizes the value of the perception measurement data according to the mapping table to obtain a quantized value, i.e., a quantization value, and the second device (e.g., perception function node) can obtain the value of the perception measurement data corresponding to the quantization value according to the mapping table.

[0239] Table 3

[0240] Alternatively, the normalization parameter comprises at least one of: second indication information, a normalization window or a normalization window indication, third indication information.

[0241] The normalization window indication is used to indicate the normalization window; the second indication information is used to indicate whether to normalize or not to normalize, and the third indication information is used to indicate whether to report or not to report the maximum value for normalization.

[0242] The second indication information is used to indicate whether to perform normalization or not. Optionally, whether to perform normalization can be indicated in a displayed manner, for example, whether to perform normalization can be indicated by an IE of one bit, for example, 1 indicates to perform normalization, and 0 indicates not to perform normalization, or 0 indicates to perform normalization, and 1 indicates not to perform normalization; or whether to perform normalization can be indicated in an implicit manner, for example, by predefining in a protocol or by the second device indicating that the maximum value does not exceed 1 or the absolute value of the maximum value does not exceed 1 to implicitly indicate to perform normalization.

[0243] The normalization window is used to indicate a data set to which normalization is performed each time. For example, if a data set composed of N×M×X sensing measurement data of M OFDM symbols of N antennas is referred to as S1, and a data set composed of M×X sensing measurement data of M OFDM symbols of each antenna is referred to as Qi, where i is the serial number of the antenna of 1, 2, …, N, the normalization window can be the data set S1, that is, normalization is performed on all data in the data set S1 each time, or the normalization window can be the data set Qi, that is, normalization is performed on all data in the data set Qi each time. It should be noted that the normalization window can also be referred to as a joint processing window or a data set, etc.

[0244] The normalization window indication is used to indicate a normalization window. For example, the second device can indicate the normalization window in a displayed manner, for example, the normalization window can be indicated by 1 bit, for example, 1 indicates the data set S1, and 0 indicates the data set Qi; or the normalization window can be indicated in an implicit manner, for example, the normalization window can be implicitly indicated by at least one of the configuration of a measurement object and a measurement report.

[0245] It should be noted that in some optional embodiments, the normalization window and the data processing window can represent the same parameter, and therefore, in the case that the first sensing configuration information includes the data processing window or the data processing window indication, the normalization parameter can not include the normalization window or the normalization window indication; in the case that the normalization parameter can include the normalization window or the normalization window indication, the first sensing configuration information can not include the data processing window or the data processing window indication.

[0246] The third indication information is used to indicate whether to report or not to report the maximum value for normalization. It should be noted that in the case that the normalization window includes all the perception measurement data required to obtain the perception result, for example, the data set S1, the maximum value for normalization can not be reported; in the case that the normalization window only includes part of the perception measurement data required to obtain the perception result, for example, the data set Qi, the maximum value for normalization needs to be reported, for example, the A i-max , and then the second device can obtain the numerical value of the perception measurement data required for joint processing according to the maximum value for normalization.

[0247] Optionally, the source coding parameter includes at least one of the following: fourth indication information, a source coding method, or a source coding method indication, a compression rate;

[0248] The fourth indication information is used to indicate whether to perform or not to perform source coding, and the source coding method indication is used to indicate the source coding method.

[0249] In the embodiment, the fourth indication information is used to indicate whether to perform or not to perform source coding. For example, 1 bit can be used to indicate whether to perform source coding, for example, 1 indicates to perform source coding, and 0 indicates not to perform source coding, or 0 indicates to perform source coding, and 1 indicates not to perform source coding. For example, in the case that the fourth indication information indicates to perform source coding, at least one of the amplitude, phase, real part, imaginary part, etc. of the perception measurement data can be source coded.

[0250] The source coding method can include but is not limited to Huffman coding, arithmetic coding, or AI model-based source coding, etc. The source coding method indication is used to indicate the source coding method. For example, one IE is used to indicate the source coding method, for example, 01 indicates Huffman coding, 10 indicates arithmetic coding, 11 indicates AI model-based source coding, etc.

[0251] The compression rate represents the ratio of the input data amount and the output data amount of the source coding. The compression rate corresponds to the source coding method or parameter.

[0252] Optionally, the data processing window indication includes at least one of the following:

[0253] The number of perception measurement data to be reported;

[0254] The configuration of the measurement object;

[0255] The configuration of the measurement report.

[0256] In this embodiment, the data processing window is implicitly indicated by at least one of the number of the perception measurement data to be reported, the configuration of the measurement object and the configuration of the measurement report, which is beneficial to save the overhead of the indication of the data processing window.

[0257] The embodiment is described below in conjunction with examples:

[0258] Embodiment 1: The data processing window is implicitly indicated by the number of the perception measurement data to be reported.

[0259] For example, if the number of the perception measurement data to be reported is NXMX, the data processing window (i.e. the data set) is composed of the perception measurement data of N antennas and M OFDM symbols.

[0260] For another example, if the number of the perception measurement data to be reported is MX, the data processing window (i.e. the data set) is composed of the perception measurement data of M OFDM symbols.

[0261] Embodiment 2: The data processing window is implicitly indicated by the configuration of the measurement object.

[0262] For example, if the measurement object is M OFDM symbols and X subcarriers, and the number of the antennas to be measured by the terminal is N, the data processing window (i.e. the data set) is the perception measurement data set composed of NXMX perception measurement data.

[0263] Embodiment 3: The data processing window is implicitly indicated by the configuration of the measurement object and the configuration of the measurement report.

[0264] For example, if the measurement object is M OFDM symbols and X subcarriers, and the number of the antennas to be measured by the terminal is N, and the configuration of the measurement report indicates that the measurement report is event triggered reporting of the perception measurement data satisfying a preset condition, for example, the perception measurement data is greater than a first threshold, or the perception measurement data belongs to a first time delay interval, or the perception measurement data belongs to a first Doppler interval, the data processing window (i.e. the data set) can be the perception measurement data obtained according to the configuration of the measurement object and the configuration of the measurement report.

[0265] Embodiment 4: The data processing window is indicated by the configuration of the measurement report.

[0266] Exemplarily, the configuration of the measurement report can comprise indication information for indicating the perception measurement data to be reported, for example, the perception measurement data to be reported can be indicated by one IE, for example, 01 indicates that the perception measurement data to be reported is a data set composed of perception measurement data of each OFDM symbol (i.e. perception measurement data of X subcarriers of each OFDM symbol of each of the aforementioned N antennas), 10 indicates that the perception measurement data to be reported is a data set composed of perception measurement data of each antenna (i.e. perception measurement data of X subcarriers of M OFDM symbols of each of the aforementioned antennas), and 11 indicates that the perception measurement data to be reported is a data set composed of perception measurement data of multiple OFDM symbols and multiple antennas (i.e. perception measurement data of X subcarriers of M OFDM symbols of the aforementioned N antennas), in which case the data processing window can be the aforementioned perception measurement data to be reported.

[0267] Exemplarily, on the basis that the configuration of the measurement report can comprise indication information for indicating the perception measurement data to be reported, the configuration of the measurement report indicates that the measurement report is event triggered reporting of the perception measurement data satisfying a preset condition, for example, the perception measurement data is greater than a first threshold, or the perception measurement data belongs to a first time delay interval, or the perception measurement data belongs to a first Doppler interval, and in this case the data processing window (i.e. data set) can be the perception measurement data obtained according to the indication information for indicating the perception measurement data to be reported and the configuration of the measurement report.

[0268] It should be noted that the configuration information of the measurement object and the like perception signal is usually determined by the base station, rather than the perception function node. Therefore, in the case where the first device is a base station and the second device is a perception function node, the aforementioned data processing window indication usually does not comprise the configuration of the measurement object.

[0269] Optionally, the data processing window is determined according to at least one of the following:

[0270] perception requirement;

[0271] data amount of the perception measurement data;

[0272] resource size for reporting the perception measurement data.

[0273] The perception requirement of the embodiment can refer to the related description of the perception requirement described above, and will not be repeated here.

[0274] The embodiment will be described below in combination with examples:

[0275] For determining the data processing window according to the sensing requirement, for example, for data with lower real-time requirement, the data processing window can be determined as all the sensing measurement data that needs to be jointly processed; for data with higher real-time requirement, the data processing window can be determined as part of the sensing measurement data that needs to be jointly processed, so as to ensure the delay requirement.

[0276] For determining the data processing window according to the data amount of the sensing measurement data, for example, in the case that the data amount of the sensing measurement data is small, the data processing window can be determined as all the sensing measurement data that needs to be jointly processed; in the case that the data amount of the sensing measurement data is large, the data processing window can be determined as part of the sensing measurement data that needs to be jointly processed.

[0277] For determining the data processing window according to the resource size for reporting the sensing measurement data, for example, the sensing measurement data that can be carried by the resource size can be obtained as the data processing window.

[0278] In the embodiment, the data processing window is determined according to at least one of the sensing requirement, the data amount of the sensing measurement data and the resource size for reporting the sensing measurement data, so that the sensing measurement data is processed based on the data processing window, which is beneficial to ensuring the transmission of the processed sensing measurement data and the quality of the sensing service.

[0279] Optionally, the data processing window comprises a first processing window or a second processing window.

[0280] The first processing window comprises all the sensing measurement data that needs to be jointly processed, and the second processing window comprises part of the sensing measurement data that needs to be jointly processed.

[0281] In the embodiment, the first processing window comprises all the sensing measurement data that needs to be jointly processed, for example, all the sensing measurement data needed for obtaining the sensing result. The second processing window comprises part of the sensing measurement data that needs to be jointly processed, for example, part of the sensing measurement data needed for obtaining the sensing result.

[0282] For example, in the case that M OFDM symbols of N antennas are configured for sensing measurement, and X subcarriers on each OFDM symbol are configured for sensing, the first processing window can be a data set composed of NXMX sensing measurement data of M OFDM symbols of N antennas, i.e., data set S1; and the second processing window can be a data set composed of MX sensing measurement data of M OFDM symbols of each antenna, i.e., data set Q i .

[0283] In this embodiment, for all the perception measurement data requiring joint processing, one-time processing can be performed on all the perception measurement data requiring joint processing based on the first processing window, or different parts of the perception measurement data requiring joint processing can be processed in sequence based on the second processing window, so that the flexibility of perception measurement data processing can be improved.

[0284] Optionally, in the case where the data processing window is the second processing window, the second perception measurement data comprises quantized or source coded perception measurement data and a target value.

[0285] The target value comprises at least one of the following: a maximum value in the first perception measurement data for normalization, and a target ratio; the target ratio is a ratio between a reference value and the maximum value in the first perception measurement data for normalization, and the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data being perception measurement data requiring joint processing and processed before the first perception measurement data.

[0286] It can be understood that, in this embodiment, normalization processing is performed on the perception measurement data before quantization or source coding.

[0287] The third perception measurement data can be any perception measurement data processed before the first perception measurement data.

[0288] In an embodiment, the first device can report the maximum value used in each normalization processing, for example, in the case where the data processing window is the data set Q i , the first device can send A i-max to the second device after performing normalization processing on the data set Q i according to A i-max . In this way, the second device can process the received perception measurement data according to the maximum value used in each normalization processing to obtain the perception measurement data before normalization processing. Through this embodiment, it is beneficial for the second device to quickly obtain the maximum value used in normalization processing according to each data set.

[0289] In another embodiment, the ratio between the maximum value used in current normalization processing and a reference value can be reported, wherein the reference value can be the maximum value used in previous normalization processing. For example, in the case where the data processing window is the data set Q i , A 1-max is used as the reference value, and the ratio between the maximum value used in normalization processing of each data set Q iAfter normalization, report the maximum value used for normalization and A. 1-max The ratio, for example, the sum after normalizing the data set Q2, reports the maximum value A used to normalize the data set Q2. 2-max With A 1-max The ratio; for the data set Q C The sum after normalization is reported to the dataset Q. C The maximum value A used for normalization C-max With A 1-max The ratio, and so on. This implementation method saves resources while ensuring the second device can obtain the values ​​of each sensing measurement data before normalization.

[0290] Optionally, the method further includes:

[0291] The first device receives the first sensing configuration information.

[0292] For example, the first device can receive first sensing configuration information from the second device, that is, the second device configures the relevant parameters for processing the sensing measurement data for the first device, which helps to improve the flexibility of the configuration of the relevant parameters for processing the sensing measurement data.

[0293] For example, the second device can flexibly configure the first sensing configuration information for the first device based on the feature information of the sensing use case, the channel environment, and the available transmission resources. In this way, the first device can process the sensing measurement data based on the first configuration information and then transmit it. This not only helps to reduce the transmission overhead of the sensing measurement data, but also helps to improve the quantization accuracy of the sensing measurement data, thereby meeting the transmission requirements of sensing measurement data under different sensing use cases, different channel environments, and different available transmission resources.

[0294] Optionally, the method further includes:

[0295] The first device receives second sensing configuration information; wherein the second sensing configuration information includes at least one of the following: fifth indication information and sixth indication information; the fifth indication information is used to indicate increasing or decreasing the number of quantization bits; the sixth indication information is used to indicate increasing or decreasing the compression ratio;

[0296] The first device processes the fourth sensing measurement data according to the second sensing configuration information and the first sensing configuration information to obtain the fifth sensing measurement data;

[0297] The first device sends the fifth sensing measurement data.

[0298] In the embodiment, when the first device needs to transmit the perception measurement data for multiple times, the second device can dynamically adjust the configuration information of the perception measurement data according to the perception-related index corresponding to the received perception measurement data, and then the first device can process the subsequent perception measurement data based on the adjusted configuration information, which is beneficial to guarantee the quality of the perception service.

[0299] For example, the second device receives the second perception measurement data, and determines whether to adjust at least one of the quantization bit number and the compression rate according to whether the perception SINR, SNR, SIR or RSRQ of the second perception measurement data meets the minimum perception SINR, SNR, SIR or RSRQ requirement. In the case where the second device indicates that the quantization bit number needs to be adjusted, the first device can adjust, for example, increase or decrease, the quantization bit number configured by the first configuration information, and then obtain the adjusted quantization bit number. In the case where the second device indicates that the compression rate needs to be adjusted, the first device can adjust, for example, increase or decrease, the compression rate configured by the first configuration information, and then obtain the adjusted compression rate. Then, the first device can process the fourth perception measurement data based on the adjusted quantization bit number and the adjusted compression rate. It can be understood that the parameters in the first configuration information that are not adjusted can continue to be used.

[0300] It should be noted that the above-mentioned perception-related index can refer to the related description of the perception-related index described above, and will not be repeated here. The fourth perception measurement data can be any perception measurement data different from the first perception measurement data. The fifth perception measurement data is the perception measurement data obtained after processing the fourth perception measurement data.

[0301] It should be further noted that in the embodiment, the quantization bit number step for increasing or decreasing the quantization bit number, the compression rate step for increasing or decreasing the compression rate, and the like can be pre-defined by a protocol, configured by the second device, determined by the first device, and the like, which is not limited in the embodiment.

[0302] Optionally, the second perception configuration information further includes at least one of the following: a quantization bit number step, a compression rate step, a first multiple, and a second multiple.

[0303] The first multiple is a multiple of the quantization bit number adjustment amount relative to the quantization bit number step, and the second multiple is a multiple of the compression rate adjustment amount relative to the compression rate step.

[0304] The quantization bit number step is used to represent the bit number change amount when the quantization bit number is adjusted each time, for example, 1, which means that the bit number is adjusted by 1 each time.

[0305] The compression rate step is used to indicate the compression rate change amount when the source coding is adjusted each time, for example, 5%, that is, 5% is adjusted each time.

[0306] The first multiple is a multiple of the quantization bit adjustment amount relative to the quantization bit step, and the first device can determine the quantization bit adjustment amount based on the first multiple and the quantization bit step.

[0307] The second multiple is a multiple of the compression rate adjustment amount relative to the compression rate step, and the first device can determine the compression rate adjustment amount based on the second multiple and the compression rate step.

[0308] In this embodiment, at least one of the quantization bit step, the compression rate step, the first multiple, and the second multiple is carried in the second perception configuration information, which is advantageous to more accurately control the adjustment amount of the quantization bit and the compression rate, and is further advantageous to save transmission overhead while ensuring the perception service quality.

[0309] Optionally, the first device processes the fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data, including:

[0310] The first device processes the fourth perception measurement data according to the second perception configuration information, the first perception configuration information, and the second parameter to obtain fifth perception measurement data.

[0311] The second parameter is a protocol predefined parameter, and the second parameter includes at least one of the following: the quantization bit step and the compression rate step.

[0312] For example, when the fifth indication information of the second perception configuration information indicates to increase or decrease the quantization bit, the first device can increase or decrease the quantization bit based on the protocol predefined quantization bit step; when the sixth indication information of the second perception configuration information indicates to increase or decrease the compression rate, the first device can increase or decrease the compression rate based on the protocol predefined compression rate step.

[0313] The protocol predefined quantization bit step can also be referred to as a default quantization bit step, and the protocol predefined compression rate step can also be referred to as a default compression rate step.

[0314] In this embodiment, at least one of the quantization bit and the compression rate can be indicated to be increased or decreased through the second perception configuration information, and at least one of the quantization bit step and the compression rate step can be predefined by the protocol, so that the resource overhead of parameter configuration can be reduced while the at least one of the quantization bit and the compression rate can be flexibly adjusted.

[0315] Optionally, the method further comprises:

[0316] The first device reports first capability information;

[0317] The first capability information comprises at least one of the following:

[0318] A supported quantization method;

[0319] Seventh indication information for indicating support or non-support of source coding;

[0320] A supported source coding method;

[0321] A supported maximum quantization bit number.

[0322] The maximum quantization bit number can also be referred to as a maximum bit width.

[0323] In this embodiment, the first device reports the first capability information of the first device, which is beneficial for the second device to more accurately configure the first configuration information for the first device.

[0324] Optionally, the first device is an access network device, and the first device sends the second sensing measurement data, comprising:

[0325] The first device sends the second sensing measurement data to a sensing function node based on a first control plane interface, a first user plane interface, or a first interface configuration;

[0326] The first control plane interface is a control plane interface between the access network device and the sensing function node, the first user plane interface is a user plane interface between the access network device and the sensing function node, and the first interface configuration is an interface configuration between the access network device and the sensing function node.

[0327] Exemplarily, the first control plane interface can be a 5G N2 interface. The first user plane interface can be a 5G N3 interface. The first interface configuration can include but is not limited to an IP address, a port number, etc.

[0328] In this embodiment, the access network device can send the second sensing measurement data to the sensing function node based on the first control plane interface, the first user plane interface, or the first interface configuration, which can ensure data transmission between the access network device and the sensing function node.

[0329] Please refer to FIG. 8, which is a flowchart of a data transmission method provided by an embodiment of the present application. The method can be executed by the second device, as shown in FIG. 8, comprising the following steps:

[0330] In step 801, the second device sends first perception configuration information to the first device; wherein the first perception configuration information is used for processing perception measurement data, and the first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication; and the data processing window indication is used for indicating the data processing window.

[0331] Optionally, the quantization parameter comprises at least one of the following: a quantization method or a quantization method indication, a quantization method related parameter, a quantization object or a quantization object indication, a quantization bit number, and first indication information.

[0332] The quantization method indication is used for indicating the quantization method, the quantization object indication is used for indicating the quantization object, and the first indication information is used for indicating a first mapping table; the first mapping table is a mapping table in at least one mapping table that is preconfigured or protocol predefined, and each mapping table comprises a mapping relationship between a value before quantization and a value after quantization.

[0333] Optionally, the quantization object comprises at least one of the following: a first level measurement quantity, a second level measurement quantity, a third level measurement quantity, and a fourth level measurement quantity.

[0334] Or,

[0335] The quantization object comprises at least one of the following: an amplitude, a phase, a real part, and an imaginary part.

[0336] Optionally, different mapping tables correspond to different first parameters; and the first parameter comprises at least one of the following: a quantization object, a quantization method, and a quantization bit number.

[0337] Optionally, the normalization parameter comprises at least one of the following: second indication information, a normalization window or a normalization window indication, and third indication information.

[0338] The normalization window indication is used for indicating the normalization window; the second indication information is used for indicating whether to perform normalization or not; and the third indication information is used for indicating whether to report or not a maximum value used for normalization.

[0339] Optionally, the source coding parameter comprises at least one of the following: fourth indication information, a source coding method or a source coding method indication, and a compression rate.

[0340] The fourth indication information is used for indicating whether to perform source coding or not; and the source coding method indication is used for indicating the source coding method.

[0341] Optionally, the data processing window indication comprises at least one of the following:

[0342] a number of perception measurement data to be reported;

[0343] a configuration of a measurement object;

[0344] a configuration of a measurement report.

[0345] Optionally, the data processing window is determined according to at least one of the following:

[0346] a perception requirement;

[0347] a data volume of the perception measurement data;

[0348] a resource size for reporting the perception measurement data.

[0349] Optionally, the data processing window comprises a first processing window or a second processing window.

[0350] The first processing window comprises all perception measurement data that needs to be jointly processed, and the second processing window comprises part of the perception measurement data that needs to be jointly processed.

[0351] Optionally, in a case where the data processing window is the second processing window, the second perception measurement data comprises quantized or source coded perception measurement data and a target value.

[0352] The target value comprises at least one of the following: a maximum value in the first perception measurement data for normalization, a target ratio; the target ratio is a ratio between a reference value and the maximum value in the first perception measurement data for normalization, the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data is perception measurement data that is processed before the first perception measurement data among all perception measurement data that needs to be jointly processed.

[0353] Optionally, the first perception configuration information is determined according to at least one of the following: feature information of perception measurement data to be processed, a perception requirement, a resource available for perception measurement data transmission, and a channel environment for perception measurement data transmission.

[0354] Optionally, the method further comprises:

[0355] The second device sends second perception configuration information to the first device; the second perception configuration information comprises at least one of the following: fifth indication information and sixth indication information; the fifth indication information is used to indicate an increase or decrease in the number of quantization bits; and the sixth indication information is used to indicate an increase or decrease in the compression rate.

[0356] Optionally, the second perception configuration information further comprises at least one of the following: a quantization bit number step, a compression rate step, a first multiple, and a second multiple.

[0357] wherein the first multiple is a multiple of the quantization bit number adjustment amount relative to the quantization bit number step, and the second multiple is a multiple of the compression rate adjustment amount relative to the compression rate step.

[0358] Optionally, the method further comprises:

[0359] the second device receives second perception measurement data from the first device;

[0360] the second device determines a perception-related index according to the second perception measurement data;

[0361] the second device determines the second perception configuration information according to the perception-related index.

[0362] Exemplarily, the second device determines whether to update the perception configuration information, such as adjusting the quantization bit number, the compression rate, etc., according to the perception-related index (such as perception SINR / SNR / SIR, etc.) corresponding to the received perception measurement data. For example, when the perception SINR / SNR / SIR is greater than 15 dB, the requirement of the perception service quality can be met even if a smaller quantization bit number is used, at this time, the quantization bit number can be increased.

[0363] Optionally, the method further comprises:

[0364] the second device receives first capability information reported by the first device;

[0365] wherein the first capability information comprises at least one of the following:

[0366] supported quantization method;

[0367] seventh indication information for indicating support or non-support of source coding;

[0368] supported source coding method;

[0369] supported maximum quantization bit number.

[0370] It should be noted that the implementation manner of the embodiment can refer to the related description of the embodiment shown in FIG. 6, which will not be repeated here.

[0371] The embodiments of the present application are described below in combination with examples:

[0372] Example 1: The UE receives the sensing configuration information of the network side device, performs sensing measurement and sensing measurement data transmission based on the sensing configuration information, thereby solving the problem of large sensing measurement data transmission overhead. Through the method provided in this example, the transmission overhead of sensing measurement data can be reduced, and the quantization accuracy of sensing measurement data can be improved, thereby meeting the transmission requirements of sensing test data in different sensing use cases, different channel environments, and different available transmission resources.

[0373] Referring to FIG. 9, the data transmission method provided in this example includes the following steps:

[0374] Step a0: The UE sends first capability information to the network side device.

[0375] Step a1: The UE receives a first message sent by the network side device, and the first message contains first sensing configuration information. The first message can be an RRC message, a physical layer message, or a data plane message, etc. The first sensing configuration information can refer to the related description of the foregoing embodiments, which will not be repeated here.

[0376] Step a2: The UE generates first sensing measurement data according to the sensing measurement, and processes the first sensing measurement data based on the received first sensing configuration information to obtain second sensing measurement data.

[0377] Step a3: The UE sends the sensing measurement data (i.e., the second sensing measurement data) according to the sensing measurement data transmission configuration (which can also be referred to as the sensing measurement data reporting configuration).

[0378] Optionally, in the case where the first sensing configuration information indicates that the maximum value used for normalization needs to be transmitted, the UE also reports the maximum value used for normalization, so that the network side device can obtain the numerical value of the sensing measurement data that needs to be jointly processed according to the maximum value used for normalization. The specific way of reporting the maximum value used for normalization can refer to the related description of the foregoing embodiments, which will not be repeated here.

[0379] Step a4: The network side device receives the sensing measurement data (i.e., the second sensing measurement data) sent by the UE.

[0380] Optionally, if the UE is configured to perform source coding on the sensing measurement data, the network side device performs source decoding on the received sensing measurement data. In addition, the network side device can also obtain the sensing measurement data corresponding to the quantization data according to the quantization method, quantization object, or quantization bit number configuration.

[0381] In some optional embodiments, the network side device can process the sensing measurement data to generate the required sensing result.

[0382] Example 2: The base station receives the first sensing configuration information of the sensing function node, and performs sensing measurement and sensing measurement data transmission based on the first sensing configuration. The main difference between the first sensing configuration information of this example and that of example 1 is the configuration of the data processing window (i.e. data set). The method provided by this example can solve the problem of large sensing measurement data transmission overhead, and can also improve the quantization accuracy of sensing measurement data, thereby meeting the transmission requirements of sensing test data under different sensing use cases, different channel environments and different available transmission resources.

[0383] It should be noted that when the base station is the receiving node of the sensing signal, the base station needs to receive the sensing signal and perform measurement. Figure 10 shows the flow of base station sensing measurement and sensing measurement data reporting. The sensing function node can be a core network function node or a radio access network function node.

[0384] As shown in Figure 10, the data transmission method provided by this example includes the following steps:

[0385] Step b1, the base station receives the first message sent by the sensing function node, and the first message contains the first sensing configuration information.

[0386] The first sensing configuration information can refer to the related description of the foregoing embodiments, which will not be repeated here.

[0387] Step b2, the base station performs sensing measurement to generate first sensing measurement data, and processes the first sensing measurement data according to the received first sensing configuration information to obtain second sensing measurement data.

[0388] Step b3, the base station sends the sensing measurement data (i.e. second sensing measurement data) to the sensing function node according to the control plane interface (such as 5G N2 interface), user plane interface (such as 5G N3 interface) or interface configuration (such as IP address, port number, etc.) between the base station and the sensing function.

[0389] Step b4, the sensing function node receives the sensing measurement data (i.e. second sensing measurement data) sent by the base station.

[0390] Optionally, if the base station is configured to source encode the sensing measurement data, the sensing function node source decodes the received sensing measurement data. In addition, the sensing function node can obtain the sensing measurement data corresponding to the quantization data according to the quantization method, quantization object or quantization bit number configuration.

[0391] Optionally, the sensing function node can process the sensing measurement data to generate the required sensing result.

[0392] In conclusion, by the data transmission method provided in the embodiments of the present application, the UE or the base station can use the perception measurement data with a more appropriate number of bits according to the normalized, quantized or source coded perception configuration information. The method can be used to reduce the transmission overhead of the perception measurement data or improve the quantization accuracy of the perception measurement data, thereby meeting the transmission requirements of the perception test data under different perception use cases, different channel environments and different available transmission resources. Further, the second perception configuration information such as the quantization bit number step, the increase / decrease of the quantization bit number indication, the compression rate step, and the increase / decrease of the compression rate indication supports the dynamic adjustment of the perception measurement data configuration, thereby reducing the control overhead of the perception measurement data configuration.

[0393] It should be noted that 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 method is executed by a data transmission device as an example, and the data transmission device provided in the embodiments of the present application is described.

[0394] The embodiments of the present application provide a data transmission device. As an example, the data transmission device can be a communication device or a component in the communication device, such as 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 specifically.

[0395] The data transmission apparatus comprises 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 by hardware. When implemented by hardware, the processing module can be implemented by a processor, which can include a general-purpose 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 devices, 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.

[0396] Specifically, referring to FIG. 11, when the data transmission apparatus is a terminal or a component in the terminal, the data transmission apparatus 1100 comprises a processing module 1101 configured to process first perception measurement data according to first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window or a data processing window indication; the data processing window indication is used to indicate the data processing window.

[0397] The data transmission apparatus comprises 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 by hardware. When implemented by hardware, the processing module can be implemented by a processor, which can include a general-purpose 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 devices, 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.

[0398] Optionally, the quantization parameter comprises at least one of the following: a quantization device or a quantization device indication, a quantization device related parameter, a quantization object or a quantization object indication, a quantization bit number, first indication information.

[0399] The quantization device indication is used to indicate the quantization device, the quantization object indication is used to indicate the quantization object, and the first indication information is used to indicate a first mapping table, which is a mapping table in at least one preconfigured or protocol predefined mapping table, each of the mapping tables comprising a mapping relationship between a value before quantization and a value after quantization.

[0400] Optionally, the quantization object comprises at least one of the following: a first level measurement quantity, a second level measurement quantity, a third level measurement quantity, and a fourth level measurement quantity.

[0401] Or,

[0402] The quantization object comprises at least one of the following: an amplitude, a phase, a real part, and an imaginary part.

[0403] Optionally, different mapping tables correspond to different first parameters, and the first parameters comprise at least one of the following: a quantization object, a quantization device, and a number of quantization bits.

[0404] Optionally, the normalization parameter comprises at least one of the following: second indication information, a normalization window, or a normalization window indication, and third indication information.

[0405] The normalization window indication is used to indicate a normalization window; the second indication information is used to indicate whether normalization is performed or not; and the third indication information is used to indicate whether a maximum value for normalization is reported or not.

[0406] Optionally, the source coding parameter comprises at least one of the following: fourth indication information, a source coding device, or a source coding device indication, and a compression rate.

[0407] The fourth indication information is used to indicate whether source coding is performed or not; and the source coding device indication is used to indicate a source coding device.

[0408] Optionally, the data processing window indication comprises at least one of the following:

[0409] A number of perception measurement data to be reported;

[0410] A configuration of a measurement object;

[0411] A configuration of a measurement report.

[0412] Optionally, the data processing window is determined according to at least one of the following:

[0413] A perception demand;

[0414] A data volume of perception measurement data;

[0415] A resource size for reporting of perception measurement data.

[0416] Optionally, the data processing window comprises a first processing window or a second processing window.

[0417] The first processing window comprises all perception measurement data that needs to be jointly processed; and the second processing window comprises part of the perception measurement data that needs to be jointly processed.

[0418] Optionally, in the case that the data processing window is the second processing window, the second perception measurement data comprises quantized or source coded perception measurement data and a target value;

[0419] Optionally, the target value comprises at least one of: a maximum value in the first perception measurement data for normalization, a target ratio; the target ratio is a ratio between a reference value and the maximum value in the first perception measurement data for normalization, the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data is perception measurement data processed before the first perception measurement data among all perception measurement data to be jointly processed.

[0420] Optionally, the apparatus further comprises:

[0421] a receiving module configured to receive the first perception configuration information.

[0422] Optionally, the apparatus further comprises a receiving module configured to receive second perception configuration information; wherein the second perception configuration information comprises at least one of: fifth indication information, sixth indication information; the fifth indication information is used to indicate an increase or decrease in quantization bit number; the sixth indication information is used to indicate an increase or decrease in compression rate;

[0423] the processing module is further configured to process fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data;

[0424] the sending module is further configured to send the fifth perception measurement data.

[0425] Optionally, the second perception configuration information further comprises at least one of: a quantization bit number step, a compression rate step, a first multiple, a second multiple;

[0426] wherein the first multiple is a multiple of a quantization bit number adjustment amount relative to a quantization bit number step, and the second multiple is a multiple of a compression rate adjustment amount relative to a compression rate step.

[0427] Optionally, the first device processes fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data, comprising:

[0428] the first device processes fourth perception measurement data according to the second perception configuration information, the first perception configuration information and a second parameter to obtain fifth perception measurement data;

[0429] The second parameter is a protocol predefined parameter, and the second parameter includes at least one of a quantization bit number step, a compression rate step.

[0430] Optionally, the sending module is further configured to report the first capability information.

[0431] The first capability information includes at least one of the following:

[0432] A supported quantization device;

[0433] Seventh indication information for indicating support or non-support of source coding;

[0434] A supported source coding device;

[0435] A supported maximum quantization bit number.

[0436] Optionally, the first device is an access network device, and the sending module is specifically configured to:

[0437] Send the second awareness measurement data to an awareness function node based on a first control plane interface, a first user plane interface or a first interface configuration;

[0438] The first control plane interface is a control plane interface between the access network device and the awareness function node, the first user plane interface is a user plane interface between the access network device and the awareness function node, and the first interface configuration is an interface configuration between the access network device and the awareness function node.

[0439] The data transmission apparatus provided by the embodiments of the present application can implement each process implemented by the method embodiment of FIG. 6 and achieve the same technical effects. To avoid repetition, details are not described herein.

[0440] Referring to FIG. 12, when the data transmission apparatus is a network side device or a component in the network side device, the data transmission apparatus 1200 includes a sending module 1201 configured to send first awareness configuration information to a first device; the first awareness configuration information is used for processing awareness measurement data, and the first awareness configuration information includes at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window or a data processing window indication; the data processing window indication is used for indicating a data processing window.

[0441] Optionally, the quantization parameter includes at least one of the following: a quantization method or a quantization method indication, a quantization method related parameter, a quantization object or a quantization object indication, a quantization bit number, first indication information;

[0442] The quantization method is used for indicating a quantization method, the quantization object is used for indicating a quantization object, the first indication information is used for indicating a first mapping table, and the first mapping table is a mapping table in at least one mapping table preconfigured or pre-defined by a protocol. Each mapping table includes a mapping relationship between a value before quantization and a value after quantization.

[0443] Optionally, the quantization object includes at least one of a first-level measurement, a second-level measurement, a third-level measurement, and a fourth-level measurement.

[0444] Or,

[0445] The quantization object includes at least one of an amplitude, a phase, a real part, and an imaginary part.

[0446] Optionally, different mapping tables correspond to different first parameters, and the first parameter includes at least one of a quantization object, a quantization method, and a number of quantization bits.

[0447] Optionally, the normalization parameter includes at least one of second indication information, a normalization window or a normalization window indication, and third indication information.

[0448] The normalization window indication is used for indicating a normalization window, the second indication information is used for indicating whether to perform normalization, and the third indication information is used for indicating whether to report a maximum value for normalization.

[0449] Optionally, the source coding parameter includes at least one of fourth indication information, a source coding method or a source coding method indication, and a compression rate.

[0450] The fourth indication information is used for indicating whether to perform source coding, and the source coding method indication is used for indicating a source coding method.

[0451] Optionally, the data processing window indication includes at least one of:

[0452] A number of perception measurement data to be reported;

[0453] Configuration of a measurement object;

[0454] Configuration of a measurement report.

[0455] Optionally, the data processing window is determined according to at least one of:

[0456] Perception demand;

[0457] Data volume of perception measurement data;

[0458] Resource size for reporting of perception measurement data.

[0459] Optionally, the data processing window comprises a first processing window or a second processing window.

[0460] Optionally, the first processing window comprises all of the perception measurement data requiring joint processing, and the second processing window comprises part of the perception measurement data requiring joint processing.

[0461] Optionally, in the case that the data processing window is the second processing window, the second perception measurement data comprises quantized or source coded perception measurement data and a target value.

[0462] Optionally, the target value comprises at least one of: a maximum value in the first perception measurement data for normalization, and a target ratio; the target ratio is a ratio between a reference value and the maximum value in the first perception measurement data for normalization, and the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data being perception measurement data requiring joint processing and processed before the first perception measurement data.

[0463] Optionally, the first perception configuration information is determined according to at least one of: characteristic information of the perception measurement data requiring processing, perception demand, resource available for perception measurement data transmission, and channel environment of perception measurement.

[0464] Optionally, the sending module is further configured to send second perception configuration information to the first device; and the second perception configuration information comprises at least one of: fifth indication information and sixth indication information; the fifth indication information is used to indicate an increase or decrease in quantization bit number; and the sixth indication information is used to indicate an increase or decrease in compression rate.

[0465] Optionally, the second perception configuration information further comprises at least one of: quantization bit number step, compression rate step, first multiple, and second multiple.

[0466] Optionally, the first multiple is a multiple of a quantization bit number adjustment amount relative to a quantization bit number step, and the second multiple is a multiple of a compression rate adjustment amount relative to a compression rate step.

[0467] Optionally, the apparatus further comprises:

[0468] a receiving module configured to receive second perception measurement data from the first device;

[0469] a processing module configured to determine a perception-related index according to the second perception measurement data.

[0470] the processing module is further configured to determine the second perception configuration information according to the perception-related index.

[0471] Optionally, the apparatus further comprises:

[0472] a receiving module configured to receive first capability information reported by the first device;

[0473] The first capability information comprises at least one of the following:

[0474] a supported quantization method;

[0475] a seventh indication information indicating support or non-support of source coding;

[0476] a supported source coding method;

[0477] a supported maximum quantization bit number.

[0478] The data transmission apparatus provided by the embodiments of the present application can implement each process of the method embodiments of FIG. 8 and achieve the same technical effects. To avoid repetition, details are not described herein.

[0479] As shown in FIG. 13, the embodiments of the present application further provide a communication device 1300, which comprises a processor 1301 and a memory 1302, and the memory 1302 stores programs or instructions executable on the processor 1301. For example, when the communication device 1300 is a first device, the programs or instructions are executed by the processor 1301 to implement each step of the above data transmission method embodiments and achieve the same technical effects. When the communication device 1300 is a second device, the programs or instructions are executed by the processor 1301 to implement each step of the above data transmission method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0480] The embodiments of the present application further provide a terminal comprising a processor and a communication interface, wherein 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. The terminal embodiments correspond to the above terminal-side method embodiments, and each implementation process and implementation manner of the above method embodiments can be applied to the terminal embodiments and achieve the same technical effects. The terminal can be the data transmission apparatus shown in FIG. 9. Specifically, FIG. 14 is a schematic diagram of a hardware structure of a terminal implementing the embodiments of the present application.

[0481] The terminal 1400 includes, but is not limited to, at least part of the following components: a radio frequency unit 1401, a network module 1402, an audio output unit 1403, an input unit 1404, a sensor 1405, a display unit 1406, a user input unit 1407, an interface unit 1408, a memory 1409, and a processor 1410, etc.

[0482] Those skilled in the art can understand that the terminal 1400 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 1410 through a power management system, so that the power management system can realize the functions of managing charging, discharging, power consumption management and the like. The terminal structure shown in FIG. 14 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 here.

[0483] It should be understood that in the embodiments of the present application, the input unit 1404 can include a graphics processor 14041 and a microphone 14042. The graphics processor 14041 processes 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 1406 can include a display panel 14061, which can be configured in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit 1407 includes at least one of a touch panel 14071 and other input devices 14072. The touch panel 14071 is also called a touch screen. The touch panel 14071 can include two parts of a touch detection device and a touch controller. The other input devices 14072 can include, but are not limited to, a physical keyboard, function keys (such as volume control keys, on-off keys, etc.), trackballs, mice, joysticks, which are not described here.

[0484] In the embodiments of the present application, after the radio frequency unit 1401 receives the downlink data from the network side device, it can be transmitted to the processor 1410 for processing. In addition, the radio frequency unit 1401 can send uplink data to the network side device. Generally, the radio frequency unit 1401 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

[0485] The memory 1409 can be used to store software programs or instructions and various data. The memory 1409 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 1409 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 1409 in the embodiments of the present application includes but is not limited to these and any other suitable types of memory.

[0486] The processor 1410 can include one or more processing units; optionally, the processor 1410 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 1410.

[0487] The processor 1410 is configured to process the first perception measurement data according to first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information includes at least one of the following: a normalization parameter, a quantization parameter, a signal source coding parameter, a data processing window, or a data processing window indication; and the data processing window indication is used to indicate the data processing window.

[0488] The radio frequency unit 1401 is configured to transmit the second perception measurement data.

[0489] It can be understood that the implementation process of each implementation mode mentioned in the embodiment can refer to the related description of the foregoing first device side method embodiment, and achieve the same or corresponding technical effects. To avoid repetition, it will not be described here.

[0490] 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. 8 are implemented. The network side device embodiment corresponds to the above-mentioned first device side or second device side method embodiment. Each implementation process and implementation mode of the above-mentioned method embodiment can be applied to the network side device embodiment, and the same technical effects can be achieved.

[0491] Specifically, the embodiment of the application further provides a network side device, which can be a data transmission apparatus shown in FIG. 10. As shown in FIG. 15, the network side device 1500 comprises an antenna 1501, a radio frequency device 1502, a baseband device 1503, a processor 1504 and a memory 1505. The antenna 1501 is connected with the radio frequency device 1502. In the uplink direction, the radio frequency device 1502 receives information through the antenna 1501, and sends the received information to the baseband device 1503 for processing. In the downlink direction, the baseband device 1503 processes the information to be sent and sends it to the radio frequency device 1502, and the radio frequency device 1502 processes the received information and sends it out through the antenna 1501.

[0492] The method performed by the network side device in the above embodiment can be implemented in the baseband device 1503, which comprises a baseband processor.

[0493] The baseband device 1503 may, for example, comprise at least one baseband board, and a plurality of chips are arranged on the baseband board, as shown in FIG. 15. One of the chips is, for example, a baseband processor, which is connected with the memory 1505 through a bus interface to call programs in the memory 1505 and execute the network device operations shown in the above method embodiments.

[0494] The network side device can further comprise a network interface 1506, which is, for example, a common public radio interface (Common Public Radio Interface, CPRI).

[0495] Specifically, the network side device 1500 in the embodiments of the present application further includes instructions or programs stored in the storage 1505 and executable on the processor 1504, the processor 1504 invokes the instructions or programs in the storage 1505 to perform the method performed by each module shown in FIG. 9 or FIG. 10, and achieves the same technical effects. To avoid repetition, details are not described herein.

[0496] Specifically, the embodiments of the present application further provide a network side device. As shown in FIG. 16, the network side device 1600 includes a processor 1601, a network interface 1602 and a storage 1603. The network side device can be the data transmission apparatus shown in FIG. 10. The network interface 1602 is, for example, a common public radio interface (CPRI).

[0497] Specifically, the network side device 1600 in the embodiments of the present application further includes instructions or programs stored in the storage 1603 and executable on the processor 1601, the processor 1601 invokes the instructions or programs in the storage 1603 to perform the method performed by each module shown in FIG. 10, and achieves the same technical effects. To avoid repetition, details are not described herein.

[0498] The embodiments of the present application further provide a readable storage medium, the readable storage medium stores programs or instructions, the programs or instructions are executed by a processor to implement each process of the above-mentioned data transmission method embodiments, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0499] The processor is the processor in the terminal in the above-mentioned 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, etc. In some examples, the readable storage medium can be a non-transitory readable storage medium.

[0500] The embodiments of the present application further provide a chip, the chip includes a processor and a communication interface, the communication interface and the processor are coupled, the processor is used to run programs or instructions to implement each process of the above-mentioned data transmission method embodiments, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0501] It should be understood that the chip mentioned in the embodiments 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.

[0502] The embodiment of the present application further provides a computer program / program product stored in a storage medium, which is executed by at least one processor to implement the processes of the above data transmission method embodiment, and can achieve the same technical effects. To avoid repetition, details are not described herein.

[0503] The embodiment of the present application further provides a wireless communication system, which comprises a first device and a second device. The first device can be used to execute the steps of the above data transmission method, and the second device can be used to execute the steps of the above data transmission method.

[0504] It should be noted that, in this document, the terms "comprising", "including", or any other variant thereof are intended to cover non-exclusive inclusions, so that processes, methods, articles, or devices including a series of elements not only include those elements, but also include other elements not explicitly listed, or further include elements inherent to such processes, methods, articles, or devices. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article, or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but can also include performing functions in a substantially simultaneous manner or in reverse order, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted, or combined. In addition, the features described with reference to certain examples can be combined in other examples.

[0505] From the above description of the embodiments, those skilled in the art can clearly understand that the above embodiment method can be realized by means of 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 device execute the method described in each embodiment of the present application.

[0506] 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, and the above specific embodiments are only illustrative, not restrictive. 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, and these embodiments all belong to the protection scope of the present application.

Claims

1. A method of data transmission, wherein, Comprise: The first device processes the first perception measurement data according to the first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information comprises at least one of the following: normalization parameter, quantization parameter, source coding parameter, data processing window or data processing window indication; the data processing window indication is used to indicate the data processing window; The first device sends the second perception measurement data.

2. The method of claim 1, wherein, The quantization parameter comprises at least one of the following: quantization method or quantization method indication, quantization method related parameter, quantization object or quantization object indication, quantization bit number, first indication information; Wherein, the quantization method indication is used to indicate the quantization method, the quantization object indication is used to indicate the quantization object, and the first indication information is used to indicate the first mapping table, the first mapping table is a mapping table in at least one mapping table preconfigured or protocol predefined, each of the mapping table comprises the mapping relationship between the value before quantization and the value after quantization.

3. The method of claim 2, wherein, The quantization object comprises at least one of the following: first level measurement quantity, second level measurement quantity, third level measurement quantity, fourth level measurement quantity; Or, The quantization object comprises at least one of the following: amplitude, phase, real part, imaginary part.

4. The method of claim 2 or 3, wherein, Different mapping tables correspond to different first parameters, and the first parameter comprises at least one of the following: quantization object, quantization method, quantization bit number.

5. The method of any one of claims 1 to 4, wherein, The normalization parameter comprises at least one of the following: second indication information, normalization window or normalization window indication, third indication information; Wherein, the normalization window indication is used to indicate the normalization window; the second indication information is used to indicate whether to normalize or not, and the third indication information is used to indicate whether to report or not the maximum value for normalization.

6. The method of any one of claims 1 to 5, wherein, The source coding parameter comprises at least one of the following: fourth indication information, source coding method or source coding method indication, compression rate; Wherein, the fourth indication information is used to indicate whether to source code or not, and the source coding method indication is used to indicate the source coding method.

7. The method of any one of claims 1 to 6, wherein, The data processing window indication comprises at least one of the following: The number of perception measurement data to be reported; The configuration of measurement object; The configuration of measurement report.

8. The method of any one of claims 1 to 7, wherein, The data processing window is determined according to at least one of the following: Perception demand; Data volume of perception measurement data; Resource size for perception measurement data reporting.

9. The method of any one of claims 1 to 8, wherein, The data processing window comprises first processing window or second processing window; Wherein, the first processing window comprises all perception measurement data that need to be jointly processed, and the second processing window comprises part of the perception measurement data that need to be jointly processed in all perception measurement data.

10. The method of claim 9, wherein, In the case that the data processing window is the second processing window, the second perception measurement data comprises quantized or source coded perception measurement data and target value; The target value includes at least one of the following: a maximum value in the first perception measurement data for normalization, a target ratio; the target ratio is a ratio between a reference value and a maximum value in the first perception measurement data for normalization, the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data is perception measurement data processed before the first perception measurement data among all perception measurement data to be jointly processed.

11. The method of any one of claims 1 to 10, wherein, The method further includes: The first device receives the first perception configuration information.

12. The method of any one of claims 1 to 11, wherein, The method further includes: The first device receives second perception configuration information; wherein the second perception configuration information includes at least one of the following: fifth indication information, sixth indication information; the fifth indication information is used to indicate an increase or decrease in the number of quantization bits; the sixth indication information is used to indicate an increase or decrease in the compression rate; The first device processes fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data; The first device sends the fifth perception measurement data.

13. The method of claim 12, wherein, The second perception configuration information further includes at least one of the following: a quantization bit step, a compression rate step, a first multiple, a second multiple; The first multiple is a multiple of the quantization bit adjustment amount relative to the quantization bit step, and the second multiple is a multiple of the compression rate adjustment amount relative to the compression rate step.

14. The method of claim 12, wherein, The first device processes fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data, including: The first device processes fourth perception measurement data according to the second perception configuration information, the first perception configuration information and a second parameter to obtain fifth perception measurement data; The second parameter is a protocol predefined parameter, and the second parameter includes at least one of the following: a quantization bit step, a compression rate step.

15. The method of any one of claims 1 to 14, wherein, The method further includes: The first device reports first capability information; The first capability information includes at least one of the following: A supported quantization method; Seventh indication information indicating support or non-support of source coding; A supported source coding method; A supported maximum quantization bit number.

16. The method of any one of claims 1 to 15, wherein, The first device is an access network device, and the first device sending the second perception measurement data includes: The first device sends the second perception measurement data to a perception function node based on a first control plane interface, a first user plane interface or a first interface configuration; The first control plane interface is a control plane interface between the access network device and the perception function node, the first user plane interface is a user plane interface between the access network device and the perception function node, and the first interface configuration is an interface configuration between the access network device and the perception function node.

17. A data transmission method, wherein, It includes: The second device sends first sensing configuration information to the first device; wherein the first sensing configuration information is used for processing sensing measurement data, and the first sensing configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication; the data processing window indication is used for indicating a data processing window.

18. The method of claim 17, wherein, The quantization parameter comprises at least one of the following: a quantization method or a quantization method indication, a quantization method related parameter, a quantization object or a quantization object indication, a quantization bit number, and first indication information; The quantization method indication is used for indicating a quantization method, the quantization object indication is used for indicating a quantization object, and the first indication information is used for indicating a first mapping table; the first mapping table is a mapping table in at least one mapping table which is preconfigured or protocol predefined, and each mapping table comprises a mapping relationship between a value before quantization and a value after quantization.

19. The method of claim 18, wherein, The quantization object comprises at least one of the following: a first level measurement quantity, a second level measurement quantity, a third level measurement quantity, and a fourth level measurement quantity. Or, The quantization object comprises at least one of the following: an amplitude, a phase, a real part, and an imaginary part.

20. The method of claim 18 or 19, wherein, Different mapping tables correspond to different first parameters; the first parameter comprises at least one of the following: a quantization object, a quantization method, and a quantization bit number.

21. The method of any one of claims 17-20, wherein, The normalization parameter comprises at least one of the following: second indication information, a normalization window or a normalization window indication, and third indication information; The normalization window indication is used for indicating a normalization window; the second indication information is used for indicating whether to perform normalization or not, and the third indication information is used for indicating whether to report or not a maximum value used for normalization.

22. The method of any one of claims 17-21, wherein, The source coding parameter comprises at least one of the following: fourth indication information, a source coding method or a source coding method indication, and a compression rate; The fourth indication information is used for indicating whether to perform source coding or not, and the source coding method indication is used for indicating a source coding method.

23. The method of any one of claims 17-22, wherein, The data processing window indication comprises at least one of the following: A number of sensing measurement data to be reported; Configuration of a measurement object; Configuration of a measurement report.

24. The method of any one of claims 17-23, wherein, The data processing window is determined according to at least one of the following: A sensing requirement; A data volume of sensing measurement data; A resource size used for reporting sensing measurement data.

25. The method of any one of claims 17-24, wherein, The data processing window comprises a first processing window or a second processing window; The first processing window comprises all sensing measurement data which needs to be jointly processed, and the second processing window comprises part of the sensing measurement data which needs to be jointly processed.

26. The method of claim 25, wherein, In a case where the data processing window is the second processing window, second sensing measurement data comprises sensing measurement data after quantization or source coding and a target value; The target value includes at least one of the following: a maximum value in the first perception measurement data for normalization, a target ratio; the target ratio is a ratio between a reference value and a maximum value in the first perception measurement data for normalization, the reference value is a maximum value in third perception measurement data for normalization, the third perception measurement data is perception measurement data processed before the first perception measurement data among all perception measurement data to be jointly processed.

27. The method of any one of claims 17-26, wherein, The first perception configuration information is determined according to at least one of the following: characteristic information of the perception measurement data to be processed, perception demand, resource available for perception measurement data transmission, channel environment of perception measurement.

28. The method of any one of claims 17-27, wherein, The method further includes: The second device sends second perception configuration information to the first device; wherein the second perception configuration information includes at least one of the following: fifth indication information, sixth indication information; the fifth indication information is used to indicate an increase or decrease in the number of quantization bits; the sixth indication information is used to indicate an increase or decrease in the compression rate.

29. The method of claim 28, wherein, The second perception configuration information further includes at least one of the following: quantization bit step, compression rate step, first multiple, second multiple; The first multiple is a multiple of the quantization bit adjustment amount relative to the quantization bit step, and the second multiple is a multiple of the compression rate adjustment amount relative to the compression rate step.

30. The method of claim 28 or 29, wherein, The method further includes: The second device receives second perception measurement data from the first device; The second device determines a perception-related index according to the second perception measurement data; The second device determines the second perception configuration information according to the perception-related index.

31. The method of any one of claims 17-30, wherein, The method further includes: The second device receives first capability information reported by the first device; The first capability information includes at least one of the following: Supported quantization method; Seventh indication information indicating support or non-support of source coding; Supported source coding method; Supported maximum quantization bit number.

32. A data transmission apparatus, comprising: Comprise: A processing module for processing first perception measurement data according to first perception configuration information to obtain second perception measurement data; wherein the first perception configuration information includes at least one of the following: normalization parameter, quantization parameter, source coding parameter, data processing window or data processing window indication; the data processing window indication is used to indicate a data processing window; A sending module for sending the second perception measurement data.

33. The apparatus of claim 32, wherein, The apparatus further comprises: A receiving module for receiving the first perception configuration information.

34. The apparatus of claim 32 or 33, wherein, The apparatus further comprises a receiving module for receiving second perception configuration information; wherein the second perception configuration information includes at least one of the following: fifth indication information, sixth indication information; the fifth indication information is used to indicate an increase or decrease in the number of quantization bits; the sixth indication information is used to indicate an increase or decrease in the compression rate; The processing module is further configured to process fourth perception measurement data according to the second perception configuration information and the first perception configuration information to obtain fifth perception measurement data; The sending module is further configured to send the fifth perception measurement data.

35. A data transmission apparatus, wherein, Comprise: The sending module is configured to send first perception configuration information to the first device, wherein the first perception configuration information is used for processing the perception measurement data, and the first perception configuration information comprises at least one of the following: a normalization parameter, a quantization parameter, a source coding parameter, a data processing window, or a data processing window indication.

36. The apparatus of claim 35, wherein, The sending module is further configured to send second perception configuration information to the first device, wherein the second perception configuration information comprises at least one of the following: fifth indication information and sixth indication information, the fifth indication information is used for indicating an increase or decrease in the number of quantization bits, and the sixth indication information is used for indicating an increase or decrease in the compression rate.

37. A first device, wherein, A processor and a memory, 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 data transmission method according to any one of claims 1 to 16.

38. A second device, wherein, A processor and a memory, 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 data transmission method according to any one of claims 17 to 31.

39. A readable storage medium, wherein, The readable storage medium stores programs or instructions, and the programs or instructions are executed by the processor to implement the steps of the data transmission method according to any one of claims 1 to 16, or implement the steps of the data transmission method according to any one of claims 17 to 31.

40. A computer program product, wherein, The computer program product is executed by at least one processor to implement the steps of the data transmission method according to any one of claims 1 to 16, or implement the steps of the data transmission method according to any one of claims 17 to 31.

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