Data transmission methods and apparatuses, and related device

Abstract

The present application belongs to the technical field of communications. Disclosed are data transmission methods and apparatuses, and a related device. A data transmission method in the embodiments of the present application comprises: a first device performing first processing on first measurement data, so as to obtain processed measurement data, wherein the data volume of the processed measurement data is less than the data volume of the first measurement data, and the first measurement data is obtained on the basis of sensing measurement; on the basis of the processed measurement data, the first device acquiring second measurement data; and the first device sending the second measurement data to a second device.

Description

Data transmission method, apparatus and related device

[0001] Cross-reference to Related Applications

[0002] This application claims priority to the Chinese Patent Application No. 202411353176.5, filed on September 26, 2024, and entitled "Data transmission method, apparatus and related device", the content of which is incorporated herein by reference in its entirety. TECHNICAL FIELD

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

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

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

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

[0007] A first device performs first processing on first measurement data to obtain processed measurement data, a data amount of the processed measurement data being less than a data amount of the first measurement data, the first measurement data being obtained based on sensing measurement;

[0008] The first device obtains second measurement data based on the processed measurement data;

[0009] The first device transmits the second measurement data to a second device.

[0010] In a second aspect, a data transmission method is provided, the method comprising:

[0011] A second device receives second measurement data transmitted by a first device;

[0012] The second device performs third processing on the second measurement data based on sensing configuration information to obtain third measurement data.

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

[0014] a processing module configured to perform first processing on first measurement data to obtain processed measurement data, the processed measurement data having a data volume smaller than that of the first measurement data, the first measurement data being obtained based on a perception measurement;

[0015] the processing module is further configured to obtain second measurement data based on the processed measurement data;

[0016] a sending module configured to send the second measurement data to a second device.

[0017] In a fourth aspect, a data transmission apparatus is provided, comprising:

[0018] a receiving module configured to receive second measurement data sent by a first device;

[0019] a processing module configured to perform third processing on the second measurement data based on perception configuration information to obtain third measurement data.

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

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

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

[0023] the processor is configured to perform first processing on first measurement data to obtain processed measurement data, the processed measurement data having a data volume smaller than that of the first measurement data, the first measurement data being obtained based on a perception measurement;

[0024] the processor is further configured to obtain second measurement data based on the processed measurement data;

[0025] the communication interface is configured to send the second measurement data to a second device.

[0026] In an eighth aspect, a second device is provided, comprising a processor and a memory, the memory storing programs or instructions executable on the processor, the programs or instructions being executed by the processor to implement the steps of the method according to the second aspect.

[0027] In a ninth aspect, a second device is provided, comprising a processor and a communication interface, wherein

[0028] a communication interface configured to receive second measurement data transmitted by the first device;

[0029] a processor configured to perform third processing on the second measurement data based on the sensing configuration information to obtain third measurement data.

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

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

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

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

[0034] In the embodiments of the present application, the first device performs first processing on first measurement data to obtain processed measurement data, the data amount of the processed measurement data being less than the data amount of the first measurement data, and the first measurement data being obtained based on sensing measurement; the first device obtains second measurement data based on the processed measurement data; and the first device transmits the second measurement data to the second device. In this way, at least the first processing is performed on the first measurement data before transmission, and the data amount of the transmission can be reduced through the first processing, thereby reducing the resource consumption of the transmission of the sensing measurement data. BRIEF DESCRIPTION OF DRAWINGS

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

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

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

[0038] FIG. 4 is a schematic diagram of a time delay domain target range detection according to an embodiment of the present application;

[0039] FIG. 5 is a schematic diagram of a time delay-Doppler domain target range detection according to an embodiment of the present application;

[0040] FIG. 6 is a flowchart of a data transmission method according to an embodiment of the present application;

[0041] FIG. 7 is a display interface diagram of a probability density function according to an embodiment of the present application;

[0042] FIG. 8 is a schematic diagram of a data transmission flow according to an embodiment of the present application;

[0043] FIG. 9 is a flowchart of a data transmission method according to another embodiment of the present application;

[0044] FIG. 10 is a schematic diagram of a data transmission apparatus according to an embodiment of the present application;

[0045] FIG. 11 is a schematic diagram of a data transmission apparatus according to another embodiment of the present application;

[0046] FIG. 12 is a schematic diagram of a communication device according to an embodiment of the present application;

[0047] FIG. 13 is a schematic diagram of a terminal according to an embodiment of the present application;

[0048] FIG. 14 is a schematic diagram of a network side device according to an embodiment of the present application;

[0049] FIG. 15 is a schematic diagram of a network side device according to another embodiment of the present application. DETAILED DESCRIPTION

[0050] The technical solutions in the embodiments of the present application will be clearly described below with reference to the drawings in the embodiments of the present application. 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 in the present application, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present application.

[0051] The terms "first," "second," etc., used in this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such terms can be used interchangeably where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same class, not limited in number; for example, the first object can be one or more. Furthermore, "or" in this application indicates at least one of the connected objects. For example, the scope of protection for "A or B" covers at least three scenarios: Scenario 1: including A but not B; Scenario 2: including B but not A; Scenario 3: including both A and B. In addition, the terms "A and / or B," "at least one of A and B," and "at least one of A or B" also cover at least the above three scenarios. The character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0052] The term "instruction" in this application can be either a direct instruction (or explicit instruction) or an indirect instruction (or implicit instruction). A direct instruction can be understood as one in which the sender explicitly informs the receiver of specific information, the operation to be performed, or the requested result, etc., in the instruction sent. An indirect instruction can be understood as one in which the receiver determines the corresponding information based on the instruction sent by the sender, or makes a judgment and determines the operation to be performed or the requested result, etc., based on the judgment result.

[0053] 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

[0054] ​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.

[0055] 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.

[0056] Optionally, the core network device can be implemented by one or more function modules in one device, or can be implemented by multiple devices together, and the embodiments of the present application do not make a specific limitation hereon. It can be understood that the above function modules can be network elements in a hardware device, can be software function modules running on a special hardware, or can be virtualized function modules instantiated on a platform (for example, a cloud platform).

[0057] For the convenience of understanding, some contents related to the embodiments of the present application are explained as follows:

[0058] 1. Integrated sensing and communication

[0059] Sensing and communication systems are usually designed separately and occupy different frequency bands. Integrated sensing and communication (ISAC) can enable sensing and communication systems to share the same frequency band and hardware, improve frequency efficiency, and reduce hardware cost. ISAC will become a key technology for future wireless communication systems to support many important application scenarios. Typical applications of ISAC include: navigation and obstacle avoidance of autonomous vehicles, indoor positioning and activity recognition based on Wi-Fi, communication and sensing of unmanned aircraft, extended reality (XR), integration of radar and communication, etc. Each application has different requirements, limitations, and regulatory issues. ISAC has attracted great research interest and attention from academia and industry.

[0060] ISAC can achieve integrated low-cost implementation of communication and sensing dual functions through hardware device sharing and software-defined functions. The main features are: 1) unified and simplified architecture, 2) reconfigurable and extensible functions, 3) efficiency improvement and cost reduction. The advantages of integrated communication and sensing are mainly in three aspects: 1) reduced device cost and size, 2) improved spectrum utilization, and 3) improved system performance.

[0061] In the embodiments of the present application, according to the technical upgrade of the communication system architecture, typical communication and sensing integrated scenarios that are expected to be realized are exemplarily shown in the following table.

[0062] 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:

[0063] 1) Base station self-emission and self-reception sensing: In this sensing mode, base station A transmits a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0064] 2) Inter-BS air interface sensing: Base station B receives the sensing signal transmitted by base station A, and performs sensing measurement;

[0065] 3) Uplink air interface sensing: Base station A receives the sensing signal transmitted by terminal A, and performs sensing measurement;

[0066] 4) Downlink air interface sensing: Terminal B receives the sensing signal transmitted by base station B, and performs sensing measurement;

[0067] 5) Terminal self-sensing: Terminal A transmits a sensing signal and performs sensing measurement by receiving the echo of the sensing signal;

[0068] 6) Inter-terminal Sidelink sensing: Terminal B receives the sensing signal transmitted by terminal A, and performs sensing measurement.

[0069] It is worth noting that each sensing method in Figure 2 takes one sensing signal transmitting node and one sensing signal receiving node as an example. In actual systems, one or more different sensing methods can be selected according to different sensing use cases and sensing requirements, and there can be one or more transmitting nodes and receiving nodes for each sensing method. The sensing targets in Figure 2 take people and vehicles as examples, and it is assumed that people and vehicles do not carry or install signal receiving / transmitting devices. However, the sensing targets of actual scenarios will be more diverse.

[0070] 2. Quantization method and source coding method

[0071] Quantization is a process of discretizing numerical values, so that numerical values can be represented by a certain number of bits. According to the characteristics of the quantization interval, it is divided into uniform quantization and non-uniform quantization. Uniform quantization, also known as linear coding, is characterized by the same interval (i.e. width) of each quantization interval. Assuming that the value range of the signal is [-X, Y], when the number of quantization bits is k, the quantization order is M = 2 k k. Then the quantization interval is Non-uniform quantization includes A-law, μ-law, etc. The principle of A-law and μ-law is to perform a nonlinear transformation on the input signal, so that under the same number of quantization bits, a certain range of input signals can have better quantization accuracy. For example, A-law has higher quantization accuracy when the input signal amplitude is small. A-law quantization is usually approximated by a broken line method, such as 13 broken line A-law companding, etc. Therefore, A-law and μ-law quantizers are also commonly known as A-law compression and μ-law compression.

[0072] The mu-law compression formula is y = ln(l + mu * x) / ln(l + mu), where x is the normalized quantizer input, and y is the normalized quantizer output. Normalization is to limit the data to be processed within a certain range after processing (by an algorithm). A common method is to divide the maximum value of the absolute value of the data set sample, so as to limit the numerical range to [-1, 1] or [0, 1]. The greater the value of mu, the higher the compression benefit of the small signal. The smaller the value of mu, the closer to uniform quantization.

[0073] Source coding is a transformation of source symbols for the purpose of improving the effectiveness of communication, or a transformation of source symbols for the purpose of reducing or eliminating source redundancy. Therefore, source coding is also called a data compression method. According to whether the original signal can be recovered without distortion, it is divided into lossless source coding and lossy source coding. Specifically, lossless source coding is to find a method according to the statistical characteristics of the source output symbol sequence, and to transform the source output symbol sequence into the shortest code word sequence, so that the average information amount carried by each code element of the latter is maximized, while ensuring that the original symbol sequence can be recovered without distortion.

[0074] The source coding theorem shows that (in the limit case, as the length of the independent and identically distributed random variable data stream tends to infinity) it is impossible to compress the data to a code rate (the average number of bits per symbol) smaller than the Shannon entropy of the source without losing information. However, it is possible to make the code rate arbitrarily close to the Shannon entropy with a very small probability of loss. Common lossless source coding methods include Huffman coding, arithmetic coding and other entropy coding methods, and lossy source coding includes MPEG-2 and H.264.

[0075] 3. Data plane

[0076] 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.

[0077] 4. Perception-related indicators

[0078] The perception-related indicators include at least one of the following:

[0079] The first type: received power-related indicators, including at least one of the following indicators:

[0080] (1) The first index (the received power of the path associated with the sensing target): the linear average value (in W) of the received power of the path associated with the sensing target in the channel response measured for the first signal on the resource unit carrying the first signal. The resource unit is a time-domain and / or frequency-domain resource unit; the first signal can be a sensing signal such as a dedicated signal for sensing service or a communication signal such as a reference signal, a synchronization signal, etc.

[0081] The second type: the index related to the interference and noise power, including at least one of the following indexes:

[0082] The second index: the linear average value (in W) of the sum of the power of the path other than the path associated with the sensing target in the channel response of the first signal on the target resource and the linear average value of the interference and noise power of the other signal other than the first signal on the target resource or other resource (for example, the resource configured by the higher layer signaling);

[0083] The second index = the total received power - the first index; wherein the total received power can be represented as: the linear average value (in W) of the total received power (including the received power of the signal of the serving cell and non-serving cell, adjacent channel interference and thermal noise, etc.) on the target resource; or the total received power = RSSI*K1, K1 is a coefficient, the measurement resource of RSSI is the target resource or other resource (for example, the resource configured by the higher layer signaling), and the received signal strength indication (RSSI) is defined in the same way as 3GPP TS38.215;

[0084] The third index: the linear average value (in W) of the interference and noise power of the other signal other than the first signal on the target resource or other resource (for example, the resource configured by the higher layer signaling); wherein the target resource can be a time-frequency domain resource unit carrying the first signal;

[0085] The third index = the total received power - the first signal received power; wherein the first signal received power is the reference signal receiving power (RSRP) of the first signal, and the RSRP is defined in the same way as TS38.215.

[0086] The fourth index: the linear average value (in W) of the power of the path other than the path associated with the sensing target in the channel response of the first signal on the target resource;

[0087] The fourth index = the RSRP of the first signal - the first index.

[0088] The third type: several indicators related to perceived SINR / SNR / SIR / Reference Signal Received Quality (RSRQ), including at least one of the following indicators:

[0089] The fifth indicator (the first perceived SINR / SNR / SIR) = the first indicator / the second indicator;

[0090] The sixth indicator (the second perceived SINR / SNR / SIR) = the first indicator / the third indicator;

[0091] The seventh indicator (the third perceived SINR / SNR / SIR) = the first indicator / the fourth indicator;

[0092] The eighth indicator (perceived RSRQ) = K2*the first indicator / total received power, K2 is a coefficient.

[0093] The above-mentioned various indicators are explained as follows:

[0094] The definition of the perceived target correlation radius and the calculation method of the various indicators:

[0095] 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 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 part of the path associated with the reflection of the perceived target in signal propagation. 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 preprocessing (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.

[0096] Wherein, the first domain includes one of the following:

[0097] Delay dimension;

[0098] Doppler dimension;

[0099] Azimuth angle dimension;

[0100] Elevation angle dimension;

[0101] at least two of the delay dimension, the Doppler dimension, the azimuth angle dimension, and the elevation angle dimension. For example, delay-Doppler dimension, delay-Doppler-angle dimension, etc.

[0102] For example, H(f) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), which can be transformed into a delay dimension (first dimension) by inverse Fourier transform of H(f); for another example, H(f, t) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), and t = 0, 1, 2, …, M-1 represents a time domain sample point (e.g., an orthogonal frequency division multiplexing (OFDM) symbol index), which can be transformed into a delay-Doppler dimension (first dimension) by inverse Fourier transform along the frequency domain dimension and Fourier transform along the time domain dimension; for another example, H(f, t, s) is a channel response, where f = 0, 1, 2, …, N-1 represents a frequency domain sample point (e.g., a subcarrier index), t = 0, 1, 2, …, M-1 represents a time domain sample point (e.g., an OFDM symbol index), and s = 0, 1, 2, …, P-1 represents a spatial domain sample point (an antenna index or a port index), which can be transformed into a delay-Doppler-angle dimension (first dimension) by inverse Fourier transform along the frequency domain dimension, Fourier transform along the time domain dimension, and Fourier transform along the antenna domain dimension.

[0103] The target path refers to a part of the associated path that has passed through the reflection of the perceived target in signal propagation. The specific determination method can be according to the path in the channel information of the first domain that satisfies the first condition, and the first condition includes at least one of the following:

[0104] 1. The amplitude or power of the path exceeds a preset threshold or is within a preset interval range; for example, the preset threshold is x times the noise threshold, or the preset threshold is a constant false alarm rate (CFAR) detection threshold;

[0105] 2. Optionally, the path that satisfies the amplitude or power exceeding the preset threshold or being within the preset interval range can be further screened, for example, clustering processing is performed, at least one path that has passed through the reflection of the same target is selected as a target path, or a plurality of paths belonging to the same target are combined, for example, weighted combination to obtain a target path;

[0106] 3. The amplitude or power of the path is greater than the amplitude or power of other paths within a specific interval range of the first domain, that is, a peak value or a relative peak value in the first domain is searched as a target path, or described as X (X≥1) paths with the largest amplitude or power within the specific interval range of the first domain.

[0107] 4. Doppler of the path exceeds a preset threshold or is in a preset interval range;

[0108] 5. Time delay of the path exceeds a preset threshold or is in a preset interval range;

[0109] 6. Angle of the path exceeds a preset threshold or is in a preset interval range;

[0110] 7. Difference between amplitude or power of the path and that of a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an Intelligent Reflection Surface (RIS) / Backscatter / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0111] 8. Doppler difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0112] 9. Time delay difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0113] 10. Angle difference between the path and a first-arriving path (e.g., LOS path) or a reference path (e.g., a path of a signal reflected by a known target (e.g., an RIS / Backscatter device / other known passive target, etc.)) exceeds a preset threshold or is in a preset interval range;

[0114] 11. Amplitude or power or phase of the path meets a specific modulation rule, which is a modulation rule of a Tag / backscatter device or an RIS, i.e., a path associated with a perceived target can be a path modulated and reflected by a Tag / backscatter device or an RIS;

[0115] It should be noted that each of the above first conditions can also be based on a result of a period of time statistics; for example, a proportion of the above indicators (e.g., Doppler of the path, time delay of the path, etc.) exceeding a preset threshold or being in a preset interval range reaches a preset proportion within a preset time window, or a number of times that the above indicators (e.g., Doppler of the path, time delay of the path, etc.) exceed a preset threshold or are in a preset interval range reaches a preset number within a preset time window;

[0116] The preset threshold or the set interval range is sent by other devices to the receiving device, and is determined by other devices according to the sensing prior information or sensing demand. Alternatively, the preset threshold or the set interval range is determined by the receiving device according to the sensing prior information or sensing demand.

[0117] The sensing prior information or sensing demand can include the following information:

[0118] (1) Sensing service or sensing service type. The sensing service can be, for example, detection of whether a target exists, positioning, speed detection, distance detection, angle detection, acceleration detection, material analysis, component analysis, shape detection, category division, radar cross section (RCS) detection, polarization scattering characteristic detection, fall detection, intrusion detection, quantity statistics, indoor positioning, gesture recognition, lip reading, gait recognition, expression recognition, face recognition, respiratory monitoring, heart rate monitoring, pulse monitoring, humidity / brightness / temperature / atmospheric pressure monitoring, air quality monitoring, weather condition monitoring, environment reconstruction, topography, building / vegetation distribution detection, people flow or vehicle flow detection, crowd density or vehicle density detection, etc. The sensing service type can be classification of a plurality of different sensing services according to certain characteristics, for example, classification into detection type sensing services (for example, including intrusion detection and fall detection), parameter estimation type sensing services (distance, angle, and speed calculation), and recognition type sensing services (action recognition and identity recognition). The sensing service type can also be classified according to the sensing range (short-range sensing, medium-range sensing, and long-range sensing), the sensing precision (coarse-grained sensing and fine-grained sensing), the power consumption / energy consumption, the resource occupation, etc. If the sensing service is respiratory monitoring, the corresponding normal respiratory frequency can be determined according to the gender and age of a person (for example, male: 13-21 times / minute, female: 15-20 times / minute; adult: 12-20 times / minute, child: about 30-40 times / minute), which can be used as sensing prior information. For example, in the sensing demand, the corresponding service is highway scene target detection, and the target speed should be in the range of 60-150 km / h, which can be used as sensing prior information.

[0119] (2) Sensing target area: refers to the position area of a sensing object or a position area that needs to be imaged or reconstructed. For example, the time delay of the preset interval range of the sensing target correlation radius is determined according to the approximate position / distance of the sensing object.

[0120] (3) Sensing object type: classification of sensing objects according to possible motion characteristics of the sensing objects. Each sensing object type includes information such as the motion speed range, the motion acceleration range, and the typical RCS range of a typical sensing object.

[0121] (4) The number of perceived targets; for example, the camera perception result can be used as a kind of perception prior information to obtain the number of perceived targets.

[0122] (5) The quality of service (QoS) of perception: the performance index of the perception of the target area or the perception object, including at least one of the following:

[0123] The perception resolution (which can be further divided into: ranging resolution, angle resolution, velocity resolution, imaging resolution, etc.);

[0124] The perception accuracy (which can be further divided into: ranging accuracy, angle accuracy, velocity accuracy, positioning accuracy, etc.);

[0125] The perception range (which can be further divided into: ranging range, velocity range, angle range, imaging range, etc.);

[0126] The perception time delay (the time interval from the sending of the perception signal to the obtaining of the perception result, or the time interval from the initiation of the perception demand to the obtaining of the perception result);

[0127] The perception update rate (the time interval between two adjacent executions of perception and the obtaining of the perception result);

[0128] The detection probability (the probability of being correctly detected in the presence of the perception object);

[0129] The false alarm probability (the probability of erroneously detecting the perception target in the absence of the perception object);

[0130] The maximum number of perceivable targets.

[0131] Taking the time delay domain target path selection as an example, as shown in FIG. 4, the paths whose amplitudes exceed a preset threshold are determined to satisfy the first condition 1, and the target paths 0, 1 and 2 are obtained through clustering processing and further screening;

[0132] Alternatively, a plurality of paths belonging to the same target after clustering can be merged, for example, weighted to obtain a target path;

[0133] Alternatively, the target paths 0, 1 and 2 are obtained through local peak detection according to the first condition 2. That is, the path with the largest amplitude or power compared with X (X≥1) adjacent paths is found as the target path; optionally, before the local peak detection, the channel data in the time delay domain is preprocessed through smoothing filtering or clutter elimination.

[0134] Alternatively, taking the time delay-Doppler domain target path selection as an example, as shown in FIG. 5, the target paths 0 and 1 are obtained through local peak detection according to the first condition 2.

[0135] For frequency range 1, the reference point of the first indicator can be the antenna connector of the receiving device, such as a terminal. For frequency range 1, if the receiving device has multiple receiving channels, the first indicator measured and reported by the receiving device cannot be lower than the indicator of any single receiving channel. For frequency range 2, the first indicator measured by a certain receiving channel needs to be measured on the combined signal on multiple antenna elements corresponding to the receiving channel.

[0136] For example, another calculation method (optional) of the first indicator is as follows:

[0137] Optionally, when calculating the received power of the sensing target associated range, the difference between the power of the sensing target associated range in the first dimension and may be taken as the first indicator, where N1 represents the number of the sensing target associated ranges. is the average power of the multiple ranges other than the first range set in the first dimension.

[0138] For example, the calculation method of the received power of the first signal is as follows:

[0139] 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.

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

[0141] 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.

[0142] For example, the calculation method of the total received power is as follows:

[0143] The total received power

[0144] For example, the calculation method of the second indicator is as follows:

[0145] The channel response H(k) is subjected to first filtering to obtain H filter1 (k), and then the first filtered received signal Y filter1 (k) is calculated according to H filter1 (k) and the first signal X(k), that is, Y filter1 (k) = Hfilter1 (k). Then the received signal Y(k) is subtracted by the received signal Y filter1 (k) after the first filtering processing, so as to obtain the interference and noise signal Y σ1 (k), i.e., Y σ1 (k) = Y(k) - Y filter1 (k). Then the third index P

[0146] The first filtering processing is used to eliminate the noise and interference and the non-perception target associated paths in the first dimension, for example, the first filtering processing sets the amplitude / power / intensity / energy of the paths other than the perception target associated paths in FIG. 4 to zero. The channel response H filter1 (k) after the first filtering processing does not contain the noise and interference and the non-perception target associated paths, and only contains the perception target associated paths.

[0147] For example, the third index is calculated as follows:

[0148] The channel response H(k) is subjected to the second filtering processing to obtain H filter2 (k). Then the received signal Y filter2 (k) after the second filtering processing is calculated according to H filter2 (k) and the first signal X(k), i.e., Y filter2 (k) = H filter2 (k)X(k). Then the received signal Y(k) is subtracted by the received signal Y filter2 (k) after the second filtering processing, so as to obtain the interference and noise signal Y σ2 (k), i.e., Y σ2 (k) = Y(k) - Y filter2 (k). Then the third index P

[0149] The second filtering processing can be the noise and interference suppression processing in the first dimension (for example, the amplitude / power / intensity / energy of the paths other than the first path set in FIG. 4 is set to zero), or the MMSE filtering. The channel response H filter2 (k) after the second filtering processing does not contain the noise and interference, and only contains the paths in the first path set.

[0150] For example, another calculation method (optional) of the third index is as follows:

[0151] The third index P is calculated according to the average power of the paths other than the first path set in the first dimension, i.e., σ2 where N represents the number of sampling points in the first dimension. ​

[0152] 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:

[0153] Method 1: Calculate the target indicators of each sensing target respectively. For example, in FIG. 4, the radii associated with each sensing target are determined respectively, and then the respective target indicators corresponding to each sensing target are calculated. At this time, there are two methods for calculating the second indicator corresponding to a sensing target (such as sensing target A): assuming that there are two sensing targets: A and B, the second indicator of sensing target A = total received power - first indicator of sensing target A; or, the second indicator of sensing target A = total received power - first indicator of sensing target A - first indicator of sensing target B; similarly, there are two methods for calculating the fourth indicator: assuming that there are two sensing targets: A and B, the fourth indicator of sensing target A = RSRP of the first signal - first indicator of sensing target A; or, the fourth indicator of sensing target A = RSRP of the first signal - first indicator of sensing target A - first indicator of sensing target B.

[0154] Method 2: Calculate one target indicator for multiple sensing targets. For example, in FIG. 4, the radii associated with any sensing target are determined, and then these radii are all taken as the radii associated with the sensing target; which is equivalent to regarding multiple sensing targets as a virtual sensing target, and then calculating the target indicator corresponding to the virtual sensing target.

[0155] 5. Sensing measurement data

[0156] In this embodiment, the sensing measurement data (sensing measurement data) is generated by the first device (UE or base station), and can also be referred to as sensing data (sensing data) or sensing result (sensing result), etc. As for the sensing measurement data, one optional classification method is to divide the sensing measurement quantities into the following four categories (this specification focuses on the description of the measurement quantities, and can also be divided into three categories or not classified, etc., and the four categories are only for illustration). According to the relationship between the sensing measurement quantity and the sensing service, the third-level measurement quantity and the fourth-level measurement quantity are usually also referred to as the sensing result. The measurement results of the second-level and / or first-level measurement quantities are also referred to as sensing measurement data.

[0157] The sensing measurement quantity includes at least one of the following:

[0158] (1) First level measurement (received signal / raw channel information), including: received signal / channel response complex result, amplitude / phase, I / Q and their operation results (operations include addition / subtraction / multiplication / division, matrix addition / subtraction / multiplication, matrix transpose, trigonometric relationship operation, square root operation and power operation, etc., and threshold detection results of the above operation results, maximum / minimum value extraction results, etc.; operations also include Fast Fourier Transform (FFT) / Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) / Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform and digital filtering, etc., and threshold detection results of the above operation results, maximum / minimum value extraction results, etc.);

[0159] (2) Second level measurement (basic measurement), including: time delay, Doppler, angle, signal strength, and their multi-dimensional combination representation;

[0160] (3) Third level measurement (basic attribute / state), including: distance, speed, angle / orientation, Radar Cross Section (RCS), acceleration;

[0161] (4) Fourth level measurement (advanced attribute / state), including: spatial position, whether the target exists, trajectory, action, expression, vital signs, quantity, imaging result, weather, air quality, shape, material, composition.

[0162] 6. Perception function

[0163] The perception function node includes at least one of the following functions:

[0164] (1) Receive a perception service request, and determine the required perception measurement according to the perception service request.

[0165] (2) Receive the perception measurement result (also known as perception measurement data, i.e. the value of the perception measurement), and generate the perception result (third level measurement)

[0166] (3) Send the perception result, and respond to the perception service request

[0167] (4) Control of perception service quality (QoS), i.e. control of perception-related nodes to meet the perception service QoS requirements.

[0168] (5) Determine the sensing signal transmitting or receiving node or sensing assistant node. The sensing signal transmitting or receiving node in the mobile communication system includes network equipment (such as base station) and user equipment (User Equipment, UE, i.e. terminal) (such as mobile phone). The sensing assistant node refers to the sensing information of other sensors and the like, geographic location information and the like for providing sensing assistance to improve the performance of wireless sensing.

[0169] (6) Determine the sensing link or sensing mode. The sensing link can include Uu link (base station transmission / UE reception or base station reception / UE transmission), sidelink (inter-UE transmission and reception), echo link (base station self-transmission and self-reception, UE self-transmission and self-reception), inter-base station transmission and reception link (inter-base station transmission and reception); the sensing mode can include base station transmission / UE reception, UE transmission / base station reception, base station self-transmission and self-reception, inter-UE transmission and reception, inter-base station transmission and reception, and UE self-transmission and self-reception.

[0170] (7) Determine the sensing signal. The potential sensing signal includes reference signal and data signal. The reference signal can be a communication reference signal or a sensing dedicated reference signal.

[0171] (8) Determine the time-frequency resource used for sensing. The potential sensing resource includes unused time-frequency resource (such as guard band) in communication, commonly used time-frequency resource (such as reference signal or data signal) in communication, and sensing dedicated time-frequency resource. Further, the configuration of the sensing signal needs to be determined. The potential configuration includes time, frequency and spatial domain resource information of the sensing signal. If the node determining the sensing time-frequency resource is not the transmitting node of the sensing signal, the sensing signal configuration is sent to the sensing signal transmitting node.

[0172] (9) Determine the configuration of the sensing measurement quantity. The potential configuration includes the indication of the sensing signal to be measured, the number or time of the sensing signal to be measured, the reporting indication of the measurement result (i.e. sensing measurement data) and the like. If the node determining the sensing measurement quantity configuration is not the receiving and measuring node of the sensing signal, the sensing measurement quantity configuration is sent to the sensing signal receiving node.

[0173] (10) Determine and configure the transmission channel for reporting the sensing measurement result, including establishing, modifying or releasing the transmission channel and the like.

[0174] (11) determining the AMF, when the network side determines the perception function node according to the geographical range of the requested perception service and the geographical range of the perception service provided by the perception function node, the perception function node needs to determine the AMF in at least one of the following cases: 1) when the UE is a perception signal sending node or a perception signal receiving node or a perception auxiliary node, and the perception target is a certain UE, the perception function node selects the AMF based on the geographical area of the required perception, and according to the tracking area identity (TAI) of the AMF requested from the NRF, and / or the AMF ID / location, etc.; 2) when the perception data needs to be transmitted through the AMF (for example, defined as a non-access layer (Non Access Stratum, NAS) message or a NAS layer as a transmission bearer protocol layer of the perception data), the perception function node selects the AMF based on the geographical position information (such as tracking area (Tracking Area, TA), etc.) of the perception node of the required transmission data, and according to the TAI of the AMF requested from the NRF, and / or the AMF ID / location, etc.; 3) when the perception target is a 3GPP UE, the perception function node determines the AMF according to the UE identifier (such as the AMF UE NGAP ID), etc.

[0175] The data transmission method, device and related equipment provided by the embodiments of the present application will be described in detail below in combination with the drawings and some embodiments and application scenarios.

[0176] Referring to FIG. 6, FIG. 6 is a flowchart of a data transmission method provided by an embodiment of the present application, as shown in FIG. 6, the data transmission method comprises the following steps:

[0177] Step 101, a first device performs first processing on first measurement data to obtain processed measurement data, the data amount of the processed measurement data is less than the data amount of the first measurement data, and the first measurement data is obtained based on perception measurement;

[0178] Step 102, the first device obtains second measurement data based on the processed measurement data;

[0179] Step 103, the first device sends the second measurement data to a second device.

[0180] The first device can obtain the first measurement data (i.e. perception measurement data) based on perception measurement, or the first measurement data can be obtained by other devices based on perception measurement, which is not limited in the embodiments of the present application.

[0181] It should be noted that the first measurement data and the second measurement data can be considered as perception measurement data, the first measurement data can be considered as perception measurement data before processing (or optimization), and the second measurement data can be considered as perception measurement data after processing (or optimization). The perception measurement data can be briefly described as measurement data.

[0182] In the related art, the perception measurement data of the first device (such as a terminal or a base station) under the communication and perception fusion needs to be transmitted to the second device (such as a perception function node) for processing. In order to reduce the overhead of perception, it is necessary to reduce the data amount of the perception measurement data to be transmitted as much as possible. At the same time, it is also necessary to ensure the quality of service (such as the perception accuracy) of perception. The role of the quantization method and the source coding method is to convert the analog signal of the source into a digital signal to realize the digitization transmission of the analog signal, and to compress data. In the related art, the transmission of the perception measurement data is not supported, and how to optimize the transmission of the perception measurement data is not involved. The embodiments of the present application can realize the optimization of the transmission of the perception measurement data through the first processing. The optimization direction can be to realize higher accuracy of the perception measurement data under the same data amount of the perception measurement data. The optimization direction can also be to realize smaller data amount of the perception measurement data under the same accuracy of the perception measurement data.

[0183] The processing schemes of the perception measurement data corresponding to different perception use cases are different. According to the characteristics of the required perception measurement data, the perception use cases can be divided into the following categories:

[0184] (1) Environment reconstruction type. The feature of this type is that the perception result can be calculated according to the perception measurement data of a single time domain symbol. For example, the perception result is calculated based on the perception measurement data on a single OFDM symbol, and multiple OFDM symbol perception measurement data joint processing is not required.

[0185] (2) Only speed measurement or only distance measurement type. The feature of this type is that the perception result can be calculated according to the perception measurement data of a single antenna, and multiple antenna data perception measurement data joint processing is not required for angle estimation.

[0186] (3) 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, the trajectory needs to be based on Doppler estimation to identify a moving target, and the position (such as position coordinates) of the perception target is obtained through distance estimation and angle. The 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, the three-dimensional coordinates and the 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 certain perception result needs to be preserved in the process of perception measurement and perception data transmission. For example, for point cloud or trajectory type perception, the value size relationship of the perception measurement data of multiple antennas and multiple time domain symbols (such as OFDM symbols) needs to be preserved in the process of transmission of the perception measurement data. That is, the perception measurement data that needs to be jointly processed can be processed as a data set in the process of normalization or quantization. If the time delay of the perception measurement data is considered, when the perception measurement data that needs to be jointly processed is divided into multiple data sets for processing, the relative size relationship between the data sets needs to be transmitted.

[0188] For the convenience of description, the perception measurement data set that needs to be jointly processed in the first measurement data obtained by perception measurement is referred to as the first data set. If the perception is continuously performed (such as trajectory tracking, etc.) in a period of time, the UE or base station as the perception signal receiving node (such as the first device) needs to report the perception measurement data multiple times. In an implementation, the first device (such as the UE or base station) performs first processing on the first measurement data (perception measurement data before processing) based on reference data, and then transmits the processed perception measurement data (i.e., second measurement data).

[0189] The first processing can be processing of the perception measurement data for the purpose of reducing the numerical range of the perception measurement data or reducing the data amount of the perception measurement data. Take the first processing based on the reference data as an example for illustration. Assuming that the number of receiving antennas is N, the number of OFDM symbols of this time perception measurement is M, and the number of subcarriers on each OFDM symbol is X. Here, taking the frequency domain channel estimation H or the delay Doppler as an example of the perception measurement data. Then the channel estimation H on each antenna is a two-dimensional complex matrix of M columns and X rows. The corresponding delay Doppler is also a two-dimensional complex matrix of M columns and X rows through processing (such as 2-dimensional Fast Fourier transform (FFT)), where each row corresponds to a different time delay, and each column corresponds to a different Doppler. Since the perception measurement data of the channel estimation H or the delay Doppler is a complex number, it can be represented by amplitude and phase, or by real and imaginary parts. In order to facilitate the description, the amplitude and phase mode is referred to as mode 1, and the real and imaginary part mode is referred to as mode 2. Then for the environment reconstruction type of perception use case, the first data set is composed of N×X perception measurement data of N antennas and X subcarriers of each OFDM symbol. For the speed measurement only or range measurement only type of perception use case, the first data set is composed of M×X perception measurement data of M OFDM symbols of each antenna. For the point cloud or trajectory tracking type of perception use case, the first data set is composed of N×M×X perception measurement data of N antennas and M OFDM symbols.

[0190] The smaller the numerical range of the data is, the fewer the number of bits required to achieve the same quantization precision is. Therefore, the data amount of the perception measurement data can be reduced by configuring the first device (such as a UE or a base station) to perform the first processing.

[0191] The first processing can include at least one of the following:

[0192] Method (1): Determine the first data subset (denoted as A) in the first data set (denoted as S1) as the reference data set. The data set with the first data subset as the reference data set is referred to as the second data set. Here, the second data set is the data (denoted as B, B=S1-A) in the first data set other than the first data subset. The difference between the data of the second data set and the reference data set (i.e. the first data subset) is taken as the third data set (denoted as B'). For example, if the perception measurement data set Q j is taken as the first data subset A, then B=S1-Q j . That is, B is the perception measurement data set excluding antenna j. For any Q i in the set B (where i is an integer in the interval [1, N] excluding j), Q i The corresponding data set in the set B' is denoted as Q i′ Then Q in the third data set B' i ′ =Q i -Q j In the aforementioned example, the sensing measurement data from a specific antenna is used as the first data subset and then as reference data. Based on the characteristics of the sensing measurement data, the sensing measurement data corresponding to a specific OFDM symbol, a specific subcarrier, a specific time delay value, or a specific Doppler value can also be used as reference data Q. j Additionally, if the sensing measurement data is represented in terms of amplitude and phase, the first processing typically involves processing the amplitude.

[0193] Method (2): Determine the first data set at time t1 (denoted as S1) t1 The first data set at time t2 (denoted as S1) is used as the reference data set. t2 This is called the second data set. The second data set and the parameter data set (i.e., S1) t1 The differences between the data in the first set are used as the third data set. Here, the third data set is denoted as S', and S'... ′ =S1 t2 -S1 t1 According to reference dataset S1 t1 Whether the perception measurement data includes the perceived target can be divided into the following two cases:

[0194] (a) When the reference data set S1 t1 When the sensing measurement data does not contain the sensing target, for example, when the network configures the UE or base station to perform sensing measurements to obtain S1 without a sensing target based on relevant information (such as prior information such as the location range of the sensing target). t1 S1 t1 It is clutter. Therefore, the method described in method (2) can eliminate clutter and improve the accuracy of sensing measurement data.

[0195] (b) When the reference data set S1 t1 When the sensing measurement data contains the sensing target, and the time interval between t1 and t2 satisfies the correlation between the two sets of sensing measurement data, the numerical range of the sensing measurement data can be narrowed by the method described in method (2), thus requiring fewer bits to achieve the same quantization accuracy. Alternatively, when using the same number of quantization bits, the sensing measurement data obtained by the method described in method (2) has higher accuracy. Furthermore, the method described in method (2) may also result in a large number of values ​​close to zero, in which case this portion of data close to zero may not be transmitted.

[0196] Optionally, the first device obtains the second measurement data based on the processed measurement data, which can include normalizing and / or quantizing and / or source coding the third data set (i.e. the set of processed measurement data) to generate the perception measurement data (i.e. the second measurement data) to be transmitted.

[0197] An example method is as follows:

[0198] (1) Normalization:

[0199] Obtain the maximum value in the reference data set. If the perception measurement data is represented in way 1, the maximum value is the maximum value of all the amplitude values in the reference data set (denoted as a max ). If the perception measurement data is represented in way 2, the maximum value is the maximum value of the absolute values of the real and imaginary parts in the reference data set. The latter maximum value is the maximum value of the real parts and the maximum value of the absolute values of the imaginary parts, and then the real and imaginary parts are processed separately. If the perception measurement data is real, then the processing is similar to the processing of the real or imaginary parts respectively.

[0200] Divide each of the perception measurement data in the reference data set by a max The range of the amplitude values is controlled to be [0, 1], i.e. the maximum value is 1. Alternatively, divide each of the perception measurement data in the reference data set by the maximum value in the aforementioned way 2, and control the range of the values to be [-1, 1], i.e. the maximum value is 1 and the minimum value is -1.

[0201] Similarly, normalize the third data set, and the maximum value in the third data set is denoted as b ′ max .

[0202] (2) Quantization:

[0203] According to the number of quantization bits, the amplitude and the phase are quantized respectively, and the potential methods include uniform quantization, A-law or μ-law, etc. The amplitude and the phase can use the same quantization method or different quantization methods.

[0204] Alternatively, according to the number of quantization bits, the real and imaginary parts are quantized, and the potential methods include uniform quantization, A-law or μ-law, etc. The real and imaginary parts can use the same quantization method or different quantization methods. Since the characteristics of the real and imaginary parts are usually similar, the same quantization method is generally used.

[0205] (3) Source coding (optional)

[0206] The source coding is determined according to the distribution characteristics of the quantized data, etc. For example, if the amplitude value distribution is concentrated around 0 as shown in FIG. 7, the source coding can reduce the number of bits required for each perception measurement data. The phase is uniformly distributed between [-π, π] as shown in FIG. 7, and it is difficult to obtain gain by using the source coding such as entropy coding.

[0207] If the source coding is performed, the source coding is performed on the quantized data.

[0208] (4) The perception measurement data is transmitted according to the transmission resource configuration. In this method, the transmitted perception measurement data includes not only the quantized perception measurement data or the source coded perception measurement data, but also the maximum value used in the normalization process. One method is to transmit a max and b ′ ′max . Another method is to transmit the ratio of a max and b ′ max .

[0209] In the embodiment of the present application, the first device performs first processing on the first measurement data to obtain processed measurement data, the data amount of the processed measurement data is less than the data amount of the first measurement data, the first measurement data is obtained based on perception measurement; the first device obtains second measurement data based on the processed measurement data; and the first device transmits the second measurement data to the second device. In this way, at least the first processing is performed on the first measurement data before transmission, and the data amount of the transmission can be reduced by the first processing, thereby reducing the resource cost of transmitting the perception measurement data.

[0210] Optionally, the first processing performed by the first device on the first measurement data to obtain the processed measurement data comprises:

[0211] The first device determines a reference set from the first set of measurement data, the first set is determined based on the first measurement data, and the reference set includes part of the measurement data in the first set;

[0212] The first device determines the difference between the measurement data in the second set and the measurement data in the reference set, the second set being a set of measurement data in the first set except the reference set;

[0213] The processed measurement data is the difference.

[0214] The reference set can be considered as a set of reference data. The reference set can be measurement data of an antenna. According to a characteristic of the perception measurement data, the reference set can also be measurement data corresponding to an OFDM symbol, a subcarrier, a time delay value, or a Doppler value. The embodiment is not limited to the reference set.

[0215] Taking the reference set as measurement data of antenna j as an example, the second set can be measurement data in the first set except for the measurement data of antenna j. The difference between the measurement data in the second set and the measurement data in the reference set can be determined, which means that the difference between the measurement data of each antenna except for antenna j and the measurement data of antenna j is determined. It can be understood that the measurement data of each antenna has an alignment relationship and the same data type, and the difference can be calculated.

[0216] It should be noted that the first set can be the first data set (denoted as S1), and the reference set can be the reference data set. The second set can be the second data set.

[0217] In this embodiment, by the first processing, the difference between the measurement data in the second set and the measurement data in the reference set is determined, and the difference is taken as the processed measurement data, which can reduce the data amount of the perception measurement data and reduce the resource cost of transmitting the perception measurement data.

[0218] Optionally, the first device performs first processing on the first measurement data to obtain processed measurement data, including:

[0219] The first device determines a reference set from the measurement data in the first set, the first set is determined based on the first measurement data, and the reference set includes first measurement data at a first time point in the first set;

[0220] The first device determines a difference between measurement data in a second set and measurement data in the reference set, the second set including first measurement data at a second time point in the first set;

[0221] The processed measurement data is the difference.

[0222] In an embodiment, the first measurement data at the first time point does not contain a perception target. For example, a network configures a first device (such as a UE or a base station) to perform perception measurement without a perception target according to relevant information (such as prior information such as a perception target position range) to obtain first measurement data at a first time point. The first measurement data at the first time point is clutter data, and the first processing can eliminate the clutter and improve the accuracy of the perception measurement data.

[0223] In one embodiment, the first measurement data at the first time point contains sensing targets, and the time interval between the first time point t1 and the second time point t2 satisfies the condition that the two sets of sensing measurement data have correlation, and the first processing can reduce the value range of the sensing measurement data, so that less bits can be used under the same quantization accuracy, or the sensing measurement data can have higher accuracy under the same quantization bit number. In addition, the first processing can also make the measurement data after the first processing have a large number of values close to zero, and the part of data close to zero can not be transmitted, thereby reducing the transmission overhead.

[0224] It should be noted that the reference set can be the aforementioned reference data set. The second set can be the aforementioned second data set.

[0225] In this embodiment, by the first processing, the difference between the first measurement data at the second time point and the first measurement data at the first time point is determined, and the difference is taken as the processed measurement data, so that the data amount of the sensing measurement data can be reduced, and the resource overhead of transmitting the sensing measurement data can be reduced.

[0226] Optionally, the first set is any one of the following:

[0227] In the first measurement data, a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing (OFDM) symbols of a plurality of antennas;

[0228] In the first measurement data, a set of measurement data corresponding to a plurality of OFDM symbols of one antenna;

[0229] In the first measurement data, a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol;

[0230] In the first measurement data, a set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of a plurality of antennas;

[0231] In the first measurement data, a set of measurement data corresponding to a plurality of time delays and a plurality of dopplers of one antenna;

[0232] In the first measurement data, a set of measurement data corresponding to a plurality of time delays of a plurality of antennas;

[0233] In the first measurement data, a set of measurement data corresponding to a plurality of time delays of one antenna;

[0234] In the first measurement data, a set of measurement data corresponding to a plurality of dopplers of a plurality of antennas;

[0235] In the first measurement data, a set of measurement data corresponding to a plurality of dopplers of one antenna.

[0236] Optionally, the first device obtains second measurement data based on the processed measurement data, comprising:

[0237] The first device performs second processing based on the processed measurement data to obtain second measurement data.

[0238] The second processing comprises at least one of the following: normalization; quantization; and source coding.

[0239] Normalization; quantization; and source coding.

[0240] In one embodiment, the second processing based on the processed measurement data to obtain second measurement data can comprise: obtaining second measurement data, wherein the second measurement data comprises the processed measurement data.

[0241] In one embodiment, the second processing based on the processed measurement data to obtain second measurement data can comprise: performing normalization processing on the processed measurement data to obtain normalized measurement data; and the second measurement data comprises the normalized measurement data.

[0242] In one embodiment, the second processing based on the processed measurement data to obtain second measurement data can comprise: performing normalization processing on the processed measurement data to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; and the second measurement data comprises the quantized measurement data.

[0243] In one embodiment, the second processing based on the processed measurement data to obtain second measurement data can comprise: performing normalization processing on the processed measurement data to obtain normalized measurement data; performing quantization processing on the normalized measurement data to obtain quantized measurement data; performing source coding processing on the quantized measurement data to obtain source coded measurement data; and the second measurement data comprises the source coded measurement data.

[0244] In this embodiment, the first device performs second processing based on the processed measurement data to obtain second measurement data; and the second processing comprises at least one of the following: normalization; quantization; and source coding. In this way, after the first measurement data obtained by the perception measurement is processed, at least one of normalization, quantization and source coding is performed before transmission, which can further optimize the transmission of the perception measurement data, reduce the data volume of the transmitted perception measurement data, and thus reduce the resource overhead of the transmission of the perception measurement data.

[0245] Optionally, the first device performs a second processing based on the processed measurement data to obtain second measurement data, including:

[0246] obtaining a first maximum value of measurement data in a third set, the third set being a set of the processed measurement data;

[0247] determining a ratio of each measurement data in the third set to the first maximum value to obtain a processed third set;

[0248] performing a first quantization processing on the measurement data in the processed third set according to a first number of quantization bits to obtain first quantized measurement data;

[0249] obtaining the second measurement data based on the first quantized measurement data.

[0250] The first maximum value of the measurement data in the third set can be a maximum value of all amplitude values of the measurement data in the third set, or a maximum value of absolute values of real parts and imaginary parts of the measurement data in the third set. Determining the ratio of each measurement data in the third set to the first maximum value to obtain the processed third set can divide each measurement data in the third set by the maximum value of the amplitude values to control the range of the amplitude values in [0, 1], that is, the maximum value of the processed third set is 1. Or divide each measurement data in the third set by the maximum value of the absolute values of the real parts and the imaginary parts to control the range of the values in [-1, 1], that is, the maximum value of the processed third set is 1 and the minimum value is -1.

[0251] It can be understood that obtaining the first maximum value of the measurement data in the third set, the third set being a set of the processed measurement data, and determining the ratio of each measurement data in the third set to the first maximum value to obtain the processed third set are used to normalize the measurement data in the third set.

[0252] The distribution characteristics of the first quantized measurement data can be used to determine whether to perform source coding. If it is determined to perform source coding, the first quantized measurement data is subjected to first source coding to obtain first source coded measurement data. If it is determined not to perform source coding, the second measurement data includes the first quantized measurement data.

[0253] It should be noted that the third set can be the third data set.

[0254] In this embodiment, the normalization and quantization processing of the measurement data after the first processing by the above-mentioned second processing can further reduce the data amount of the perception measurement data and reduce the resource overhead of transmitting the perception measurement data.

[0255] Optionally, the obtaining the second measurement data based on the first quantized measurement data comprises:

[0256] determining whether to perform source coding based on the distribution feature of the first quantized measurement data;

[0257] in a case where it is determined to perform source coding, performing first source coding on the first quantized measurement data to obtain first source coded measurement data;

[0258] obtaining second measurement data, the second measurement data comprising the first source coded measurement data.

[0259] In the embodiment, in a case where it is determined to perform source coding, first source coding is performed on the first quantized measurement data to obtain first source coded measurement data, and second measurement data is obtained, the second measurement data comprising the first source coded measurement data, so that the data amount of the perception measurement data can be further reduced by source coding, and the resource overhead of transmitting the perception measurement data can be reduced.

[0260] Optionally, the first device performs second processing based on the processed measurement data to obtain second measurement data, and the method further comprises:

[0261] obtaining a second maximum value of the measurement data in the reference set;

[0262] determining a ratio of each measurement data in the reference set to the second maximum value to obtain a processed reference set;

[0263] performing second quantization processing on the measurement data in the processed reference set according to a second number of quantization bits to obtain second quantized measurement data;

[0264] in a case where it is determined to perform source coding, performing second source coding on the second quantized measurement data to obtain second source coded measurement data;

[0265] wherein the second measurement data further comprises the second source coded measurement data.

[0266] The second maximum value of the measurement data in the reference set can be a maximum value of all amplitude values of the measurement data in the reference set, or a maximum value of absolute values of real parts and imaginary parts of the measurement data in the reference set. A ratio of each measurement data in the reference set to the second maximum value is determined to obtain a processed reference set. Each measurement data in the reference set can be divided by the maximum value of the amplitude values to control a range of the amplitude values in [0, 1], that is, a maximum value of the processed reference set is 1. Or each measurement data in the reference set is divided by the maximum value of the absolute values of the real parts and the imaginary parts to control a range of the values in [-1, 1], that is, a maximum value of the processed reference set is 1 and a minimum value is -1.

[0267] It can be understood that the second maximum value of the measurement data in the reference set is obtained, and the ratio of each measurement data in the reference set to the second maximum value is determined to obtain the processed reference set, which is used to normalize the measurement data in the reference set.

[0268] In an implementation, the method further includes: in a case where it is determined that the source coding is not performed, the second measurement data includes the second quantized measurement data.

[0269] In the implementation, the second maximum value of the measurement data in the reference set is obtained, and the ratio of each measurement data in the reference set to the second maximum value is determined to obtain the processed reference set. The measurement data in the processed reference set is second quantized according to the second number of quantization bits to obtain second quantized measurement data. In a case where it is determined that the source coding is performed, the second quantized measurement data is second source coded to obtain second source coded measurement data. The second measurement data further includes the second source coded measurement data. In this way, by normalizing, quantizing and source coding the measurement data in the reference set, the amount of data of the reference set can be reduced, and the resource cost of transmitting the perception measurement data can be reduced.

[0270] Optionally, the method further includes:

[0271] The first device sends target information to the second device.

[0272] The target information includes any one of the following:

[0273] The first maximum value and the second maximum value.

[0274] An association relationship between the first maximum value and the second maximum value.

[0275] The association relationship between the first maximum value and the second maximum value can be represented by a ratio, for example, taking the second maximum value as a reference value, and using the ratio of the first maximum value to the reference value to represent the association relationship.

[0276] In this embodiment, the first device sends target information to the second device, and the second device can obtain the maximum value used in the normalization process of the measurement data in the third set and the reference set, or the association relationship between the maximum values of the measurement data in the third set and the reference set, so as to obtain the relative size relationship between the third set and the reference set, and facilitate the second device to restore the received perception measurement data.

[0277] Optionally, the method further comprises:

[0278] The first device receives the perception configuration information sent by the second device, and the perception configuration information is used to obtain the second measurement data.

[0279] The perception configuration information comprises at least one of the following:

[0280] indication information of the reference set for the first processing;

[0281] indication information of the second set for the first processing;

[0282] a scheme of the first processing;

[0283] indication information of a target object of the first processing;

[0284] indication information of whether to transmit the reference set;

[0285] a period of measurement data in the reference set.

[0286] The indication information of the reference set for the first processing can be reference data indication. One method is to indicate the reference data by the identification of the reference data, such as measurement identification, etc. Another method is to indicate the reference data by the perception signal resource of the perception measurement, such as OFDM symbol index of the perception signal, etc. Specifically, for the method (1) of the first processing, the reference symbol sequence index, the reference subcarrier index, the reference time delay index or the reference Doppler index, etc. can be used as the reference data indication. For the method (2) of the first processing, the measurement identification, etc. can be used as the reference data indication.

[0287] The indication information of the second set for the first processing can be a second set indication, which is used to indicate the data range of the second set. One method is to use the number of symbols, the number of subcarriers, the time delay range, the Doppler range, the time range (such as time slot, subframe, frame, etc.), or the like as the second set indication. For example, δ symbols or subframes, t2 time or time delay range [[δ1, δ2]], or the like.

[0288] The scheme of the first processing can be a first processing indication, which is used to indicate the method of the first processing to generate the processed measurement data (i.e., the third data set). For example, the aforementioned first processing method (1), method (2), or the like

[0289] The indication information of the target object of the first processing can be a first processing object indication, which is used to indicate the object subjected to the first processing. The first processing object can be at least one of the first-level measurement quantity, the second-level measurement quantity, the third-level measurement quantity, or the fourth-level measurement quantity. And / or, when the perception measurement data is a complex number, the first processing object is at least one of the amplitude, the phase, the real part, or the imaginary part. The amplitude and the phase are subjected to the first processing, or the real part and the imaginary part are subjected to the first processing according to the characteristics of the perception measurement data, or the like. One method is to use an information element (IE) to indicate the first processing object. For example, 0 represents the amplitude and the phase, and 1 represents the real part and the imaginary part. Or, the default first processing object is the amplitude, and thus, as mentioned above, the amplitude is usually subjected to the first processing to help improve the accuracy of the perception measurement data or reduce the number of bits used by the perception measurement data.

[0290] The indication information of whether to transmit the reference set can be a reference data transmission indication, which is used to indicate whether to send the reference set to the second device. For example, the reference data transmission indication is 1 to indicate sending, and the reference data transmission indication is 0 to indicate not sending.

[0291] The period of the measurement data in the reference set can be a first period P, which is used to indicate the period of the reference data. For example, P can be P OFDM symbols, subframes, time delay resolution, Doppler resolution, or subcarrier spacing, or the like. According to the reference data indication and the first period P, the continuous perception data in a certain period of time can be processed. For example, when the OFDM symbol with the index α of the reference data is the reference data, then the subsequent reference data is the OFDM symbol with the index α+P, α+2P, or the like.

[0292] In this embodiment, the first measurement data obtained by the perception measurement is subjected to the first processing based on the aforementioned perception configuration information, and then transmitted, which can optimize the transmission of the perception measurement data according to the perception configuration information, thereby reducing the resource overhead of the transmission of the perception measurement data.

[0293] Optionally, the perception configuration information further includes at least one of the following:

[0294] a first threshold value for determining measurement data not to be transmitted;

[0295] a second threshold value for determining measurement data to be transmitted;

[0296] an indication of whether normalization is performed;

[0297] an indication of a first set for the first processing;

[0298] an indication of whether the maximum value in the normalization process is transmitted;

[0299] an indication of whether quantization is performed;

[0300] a quantization scheme;

[0301] an indication of a target object for quantization;

[0302] a number of quantization bits;

[0303] an indication of whether source coding is performed;

[0304] a source coding scheme.

[0305] The first threshold value can be used to determine data in the second set that does not need to be transmitted. For example, perception measurement data below the first threshold (such as a signal strength threshold) does not need to be transmitted.

[0306] The second threshold value can be used to determine data in the second set that needs to be transmitted. For example, perception measurement data above the second threshold (such as a perception SNR threshold) needs to be transmitted.

[0307] The indication of whether normalization is performed can be a normalization indication. One method is to indicate whether normalization is performed through an information element (IE). Another method is to implicitly indicate normalization by defining that the maximum value does not exceed 1, or the absolute value of the maximum value does not exceed 1, rather than explicitly indicating whether normalization is performed in the message.

[0308] The indication of the first set for the first processing can be the configuration of the first set (or expressed as the perception measurement data set), which can also be referred to as a normalization window or a joint processing window, etc., and is used to indicate the aforementioned data set S1 or Q iWhat the perception measurement data consists of. One method is to configure by the number of perception measurement data reported, for example, the number of perception measurement data is NXMX X, then the first set consists of N antenna M OFDM symbol perception measurement data. For example, the number of perception measurement data is MX X, then the first set is M OFDM symbol perception measurement data. One method is to indirectly configure the first set by configuring the measurement object and / or measurement report, for example, the measurement object is M OFDM symbol and X subcarrier, configure the number of antennas measured by the terminal as N, then the first set is NXMX X perception measurement data consisting of perception measurement data set. For example, the measurement report configuration based on the foregoing measurement object configuration is: the perception measurement data meets a certain threshold event triggering reporting (for example, the perception measurement data is greater than the first threshold, or the perception measurement data meets a certain time delay interval, or the perception measurement data meets a certain Doppler interval), then the first set can be the perception measurement data meeting the configuration information obtained according to the measurement object configuration and the measurement report configuration.

[0309] Wherein, the indication information of whether to transmit the maximum value in the normalization process can be a maximum value indication, which is used to indicate whether the first device (such as a terminal) needs to send the maximum value of the perception measurement data. That is, the aforementioned A i-max So that the second device (such as a network side device) can obtain the value of the perception measurement data that needs to be jointly processed according to A i-max

[0310] Wherein, the quantization scheme can be a quantization method indication, which can be indicated by an information element (IE) for example. For example, 01 represents uniform quantization, 10 represents A-law, 11 represents μ-law, etc.

[0311] Wherein, the indication information of the target object of quantization can be a quantization object indication, which indicates the object to be quantized. One method is that the quantization object is the same as the aforementioned first processing object by default. If the aforementioned first processing object is a part of the perception measurement data, such as amplitude. Then the object to be quantized can be indicated by the quantization object indication. The quantization object can be at least one of the first level measurement quantity, the second level measurement quantity, the third level measurement quantity, and the fourth level measurement quantity. And / or, when the perception measurement data is a complex number, the quantization object is at least one of the amplitude, the phase, the real part, and the imaginary part. The amplitude and the phase are quantized, or the real part and the imaginary part are quantized according to the characteristics of the perception measurement data, etc. One method is to indicate the quantization object by an information element (IE). For example, 0 represents amplitude and phase, and 1 represents real part and imaginary part.

[0312] ​The quantization bit number can be used to indicate a quantization bit number of the perception measurement data. The quantization bit number includes 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.

[0313] The indication information of whether to perform source coding can be a source coding indication, which is used to indicate whether to perform source coding. If source coding is performed, at least one of an amplitude, a phase, a real part, and an imaginary part of the perception measurement data can be source coded.

[0314] The source coding scheme can be a source coding method indication. For example, a source coding method can be indicated by an information element (IE). For example, the source coding method indication is 01, which represents Huffman coding, 10, which represents arithmetic coding, 11, which represents source coding based on an AI model, and the like.

[0315] In this embodiment, at least one of normalization, quantization, and source coding of the first processed measurement data is performed based on the perception configuration information before transmission, which can further optimize the transmission of the perception measurement data according to the perception configuration information and reduce the resource overhead of the transmission of the perception measurement data.

[0316] Optionally, the method further includes:

[0317] The first device receives updated perception configuration information sent by the second device, and the updated perception configuration information is used to obtain the second measurement data.

[0318] The updated perception configuration information includes at least one of the following:

[0319] Indication information of an offset of measurement data in the reference set;

[0320] Indication information of an offset of measurement data in the second set;

[0321] Indication information of a period of measurement data in the reference set.

[0322] The indication information of the offset of the measurement data in the reference set can be used to indicate an absolute value of the offset of the measurement data in the reference set, and can also be used to indicate an increase or decrease of the offset of the measurement data in the reference set.

[0323] The indication information of the offset of the measurement data in the second set can be used to indicate an absolute value of the offset of the measurement data in the second set, and can also be used to indicate an increase or decrease of the offset of the measurement data in the second set.

[0324] The indication information of the offset of the period of the measurement data in the reference set can be used to indicate the absolute value of the offset of the period of the measurement data in the reference set, and can also be used to indicate that the offset of the period of the measurement data in the reference set is increased or decreased.

[0325] The first device can be a node that receives a sensing signal to perform sensing measurement, and the first device can perform sensing measurement to obtain first measurement data; or the first device can be configured to receive sensing measurement data (such as the first measurement data) and process the sensing measurement data (such as the first measurement data) according to the received sensing configuration information.

[0326] The second device can be a node that transmits sensing configuration information and receives sensing measurement data (such as the second measurement data); or the second device can be configured to transmit the sensing configuration information to the first device and the third device. The third device can be configured to receive the sensing configuration information and receive the sensing measurement data from the first device, and obtain the sensing measurement data (such as the second measurement data) according to the sensing configuration information.

[0327] In an embodiment, the updated sensing configuration information includes at least one of the following:

[0328] (1) The offset of the measurement data in the reference set (or referred to as the reference data offset), which is used to indicate the offset each time the reference data indication is updated. For example, 1 indicates that 1 symbol or subcarrier or time delay line is adjusted each time. The reference data offset can also be defined as a certain value as the reference data offset by a protocol, or referred to as the default reference data offset. The reference data offset can be an offset in the form of an absolute value.

[0329] (2) The offset of the measurement data in the second set (or referred to as the second set offset), which is used to indicate the offset each time the second set indication is updated. For example, 10 indicates that 10 time slots are adjusted each time. The second set offset can also be defined as a certain value as the second set offset by a protocol, or referred to as the default second set offset. The second set offset can be an offset in the form of an absolute value.

[0330] (3) The offset of the period of the measurement data in the reference set (or referred to as the first period offset), which is used to indicate the offset each time the first period is updated. For example, 1 indicates that 1 subframe is adjusted each time. The first period offset can also be defined as a certain value as the first period offset by a protocol, or referred to as the default first period offset. The first period offset can be an offset in the form of an absolute value.

[0331] (4) Reference data indication increase indication, used for indicating to increase the value corresponding to the reference data indication IE. The first device obtains the updated reference data indication according to the aforementioned reference data offset after increasing the reference data indication according to the indication. The reference data indication increase indication can be used for indicating the offset increase of the measurement data in the reference set.

[0332] (5) Reference data indication decrease indication, used for indicating to decrease the value corresponding to the reference data indication IE. The first device obtains the updated reference data indication according to the aforementioned reference data offset after decreasing the reference data indication according to the indication. The reference data indication decrease indication can be used for indicating the offset decrease of the measurement data in the reference set.

[0333] (6) Second set indication increase indication, used for indicating to increase the value corresponding to the parameter indication IE. The first device obtains the updated second set indication according to the aforementioned second set offset after increasing the second set indication according to the indication. The second set indication increase indication can be used for indicating the offset increase of the measurement data in the second set.

[0334] (7) Second set indication decrease indication, used for indicating to decrease the value corresponding to the second set indication IE. The first device obtains the updated second set indication according to the aforementioned second set offset after decreasing the second set indication according to the indication. The second set indication decrease indication can be used for indicating the offset decrease of the measurement data in the second set.

[0335] (8) First period increase indication, used for indicating to increase the value corresponding to the first period IE. The first device obtains the updated first period according to the aforementioned first period offset after increasing the first period according to the indication. The first period increase indication can be used for indicating the offset increase of the period of the measurement data in the reference set.

[0336] (9) First period decrease indication, used for indicating to decrease the value corresponding to the first period IE. The first device obtains the updated first period according to the aforementioned first period offset after decreasing the first period according to the indication. The first period decrease indication can be used for indicating the offset decrease of the period of the measurement data in the reference set.

[0337] In this embodiment, the first device receives the updated perception configuration information sent by the second device, and performs first processing on the first measurement data obtained by the perception measurement based on the updated perception configuration information before transmission, so that the transmission of the perception measurement data can be optimized according to the optimized perception configuration information, and the resource overhead of the transmission of the perception measurement data is further reduced.

[0338] The following is supplemented by several examples:

[0339] The perception measurement data has correlation in a certain dimension (such as time, frequency, delay, Doppler, etc.) due to the perception use case, channel environment, and available resources. Embodiments of the present application define the configuration of the perception measurement and / or the configuration of the perception measurement data transmission, and further implement the interaction process between the perception measurement node (UE or base station) and the perception function node, which can optimize the perception measurement and the transmission of the perception measurement data, thereby efficiently performing the perception measurement and the transmission of the perception measurement data, reducing the perception overhead, and meeting the requirements of the perception service.

[0340] Example 1: Perception measurement data transmission based on reference data

[0341] The main idea of the present example is that the UE or the base station receives the perception configuration of the network, and performs the perception measurement and the perception measurement data transmission based on the perception configuration. Thus, the problem of large transmission overhead of the perception measurement data is solved. The method can reduce the transmission overhead of the perception measurement data, and further improve the quantization accuracy of the perception measurement data.

[0342] FIG. 8 is a flow of the perception measurement and the reporting of the perception measurement data of the first device (such as the UE or the base station). When the UE is the perception signal receiving node, the UE needs to receive the perception signal and perform the measurement. The network is the radio access network node (such as the base station, etc.) and / or the core network function node (such as the perception function node, etc.). When the base station is the perception signal receiving node, the base station needs to receive the perception signal and perform the measurement. The perception function node can be the core network function node or the radio access network function node. Hereinafter, the UE or the base station is referred to as the first device, and the network node that sends the perception configuration information to the UE or the base station is referred to as the second device.

[0343] Step (1): The first device receives the first message sent by the second device, and the first message contains the perception configuration information. The first message can be an RRC message or a physical layer message or a data plane message. The perception configuration information includes at least one of the following:

[0344] (1) Reference data indication.

[0345] (2) Second set indication, used to indicate the data range of the second set.

[0346] (3) First processing indication, used to indicate the first processing method for generating the third data set.

[0347] (4) First processing object indication, indicating the object that is subjected to the first processing.

[0348] (5) Reference data transmission indication, used to indicate whether the reference data set is sent to the second device.

[0349] (6) First period P, used to indicate the period of the reference data.

[0350] It should be noted that the perception configuration information can refer to the foregoing related description of the perception configuration information, which will not be described here.

[0351] Optionally, according to the data features generated by the first processing, the perception configuration information sent by the second device can further include at least one of the following:

[0352] The first threshold is used to determine the data in the second data set that does not need to be transmitted.

[0353] The second threshold is used to determine the data in the second data set that needs to be transmitted.

[0354] Optionally, regarding normalization, quantization or source coding, one method is to define the perception measurement data calculation method through the protocol according to the prior information of the perception use case, without the need for dynamic adjustment configuration. For example, for the trajectory tracking use case in an indoor environment, after analysis, the normalization and quantization method adopts amplitude non-uniform quantization (such as mu-law) and phase uniform quantization, which has better perception performance and uses fewer quantization bits. If the UE supports source coding, the method of using uniform quantization of the real part and the imaginary part and then performing source coding achieves the same perception performance with fewer bits. Another method is to configure according to the perception use case, channel environment, etc. The perception configuration information further includes:

[0355] (1) Normalization indication.

[0356] (2) Perception measurement data set configuration, which can also be referred to as normalization window, joint processing window, etc., used to indicate the foregoing data set S1 or Q i which is composed of which perception measurement data.

[0357] (3) Maximum value indication, used to indicate whether the UE needs to send the maximum value of the perception measurement data.

[0358] (4) Quantization method indication.

[0359] (5) Quantization object indication, indicating the object to be quantized.

[0360] (6) Quantization bit number, used to indicate the quantization bit number of the perception measurement data.

[0361] (7) Source coding indication, used to indicate whether to perform source coding.

[0362] (8) Source coding method indication.

[0363] It should be noted that the perception configuration information can refer to the foregoing related description of the perception configuration information, which will not be described here.

[0364] Step (2): The first device performs sensing measurement according to the received sensing configuration information to generate sensing measurement data.

[0365] Step (3): The first device transmits the sensing measurement data according to the sensing measurement data transmission configuration (also can be called sensing measurement data reporting configuration). The sensing measurement data includes a third data set.

[0366] Optionally, the sensing measurement data further includes a reference data set.

[0367] For the reference data set and the third data set:

[0368] Optionally, the sensing measurement data further includes a maximum value used in the normalization process. For example, the ratio of the aforementioned a max and b ′ max . For another example, the ratio of the aforementioned a max and b ′ max .

[0369] Optionally, if the first device transmits part of the sensing measurement data according to the first threshold or the second threshold, the first device further needs to transmit a sensing measurement data index indication.

[0370] The sensing measurement data index indication, for example, judges that the sensing measurement data of antennas X, Y and Z in the N antennas meets the second threshold according to the second threshold. Then the first device can indicate the antenna index of the transmitted data by using a bit map or other methods when transmitting the sensing data.

[0371] Step (4): The second device receives the sensing measurement data transmitted by the first device. According to the configuration information of the first message, the corresponding sensing measurement data is obtained.

[0372] Optionally, the network processes the sensing measurement data to generate the required sensing result.

[0373] Example two: updating method of sensing measurement data transmission configuration based on reference data

[0374] When the first device (UE or base station) needs to transmit the sensing measurement data multiple times, the second device can dynamically adjust the configuration of the sensing measurement data according to the received sensing related index corresponding to the sensing measurement data (see the description of the aforementioned sensing related index, which will not be repeated here). One way is to update the sensing measurement data configuration using the method of example one. The main idea of this example is to provide a configuration updating method. Thus, it can be dynamically adjusted according to the sensing related index, and the control overhead of the sensing measurement data configuration can be further saved.

[0375] The UE or base station is referred to as a first device, and the network node that sends the awareness configuration information to the UE or base station is referred to as a second device.

[0376] Step (1): The second device determines whether to update the awareness configuration parameters (such as adjustment of the reference data indication, the second data set indication, the first period P, and the like) according to the awareness-related indicators (such as awareness SINR / SNR / SIR) corresponding to the received awareness measurement data. For example, when the protocol defines the awareness measurement data calculation method in Example 1, instead of dynamic adjustment. If the reference data, the second data set, or the first period configuration is improper, problems such as low awareness SINR / SNR / SIR or decreased awareness accuracy can occur. According to the relevance and value range characteristics of the received awareness measurement data, the accuracy of the awareness measurement data can be improved by adjusting the configuration.

[0377] The first device receives the second message of the second device, and the second message includes the second awareness configuration information. The second awareness configuration information can be updated awareness configuration information, and the second awareness configuration information is described above in the description of the updated awareness configuration information, which is not repeated here.

[0378] Step (2): The first device performs awareness measurement to generate awareness measurement data according to the received second awareness configuration information.

[0379] Step (3): The first device sends the awareness measurement data to the second device or a third device. When the awareness control and awareness data processing devices are separated, the third device can be an awareness data processing node.

[0380] Step (4): The second device or the third device receives the awareness measurement data sent by the first device.

[0381] Optionally, the second device or the third device processes the awareness measurement data to generate the required awareness result.

[0382] In the embodiments of the present application, the UE or base station can narrow the value range of the awareness measurement data according to the awareness configuration information such as the reference data indication, the second data set indication, the first processing indication, the first processing object indication, the reference data transmission indication, and the first period. Thus, the number of bits required for transmission of a single awareness measurement data or the data amount of the awareness measurement data to be transmitted is reduced. Further, the second awareness configuration information such as the offset, the increase / decrease indication, and the like supports updating of the awareness measurement data configuration, thereby reducing the control overhead of the awareness measurement data configuration.

[0383] Referring to FIG. 9, FIG. 9 is a flowchart of a data transmission method according to an embodiment of the present application. As shown in FIG. 9, the data transmission method includes the following steps:

[0384] Step 201, a second device receives second measurement data sent by a first device;

[0385] Step 202, the second device performs third processing on the second measurement data based on sensing configuration information, to obtain third measurement data.

[0386] The third measurement data can be measurement data restored from the second measurement data, and the sensing result corresponding to the third measurement data can be equivalent to the sensing result corresponding to the first measurement data.

[0387] Optionally, the method further comprises:

[0388] The second device sends sensing configuration information to the first device;

[0389] The sensing configuration information comprises at least one of the following:

[0390] indication information of a reference set for the first processing;

[0391] indication information of a second set for the first processing;

[0392] a scheme of the first processing;

[0393] indication information of a target object of the first processing;

[0394] indication information of whether to transmit the reference set;

[0395] a period of measurement data in the reference set.

[0396] Optionally, the sensing configuration information further comprises at least one of the following:

[0397] a first threshold value for judging measurement data that does not need to be transmitted;

[0398] a second threshold value for judging measurement data that needs to be transmitted;

[0399] indication information of whether to perform normalization;

[0400] indication information of a first set for the first processing;

[0401] indication information of whether to transmit a maximum value used in the normalization process;

[0402] indication information of whether to perform quantization;

[0403] a quantization scheme;

[0404] indication information of a target object of the quantization;

[0405] a number of quantization bits;

[0406] indication information of whether to perform source coding;

[0407] a source coding scheme.

[0408] Optionally, the method further comprises:

[0409] the second device sends updated perception configuration information to the first device;

[0410] wherein the updated perception configuration information comprises at least one of:

[0411] indication information of an offset of measurement data in the reference set;

[0412] indication information of an offset of measurement data in the second set;

[0413] indication information of an offset of a period of measurement data in the reference set.

[0414] Optionally, the method further comprises:

[0415] the second device receives target information sent by the first device;

[0416] the second device performs third processing on the second measurement data based on the perception configuration information, comprising:

[0417] the second device performs third processing on the second measurement data based on the perception configuration information and the target information;

[0418] wherein the target information comprises any one of:

[0419] a first maximum value and a second maximum value; a correlation between the first maximum value and the second maximum value;

[0420] the first maximum value and the second maximum value are both maximum values used in a normalization process.

[0421] It should be noted that the embodiment is as a corresponding second device in the embodiment shown in FIG. 6, and the specific implementation can refer to the related description of the embodiment shown in FIG. 6. To avoid repeated description, the embodiment will not be described again.

[0422] The application embodiment further provides a data transmission method, and the data transmission method comprises the following steps:

[0423] the second device sends perception configuration information to the first device and / or the third device;

[0424] wherein the perception configuration information comprises at least one of:

[0425] indication information of a first set for the first processing;

[0426] indication information of a second set for the first processing;

[0427] a scheme of the first processing;

[0428] indication information of a target object of the first processing;

[0429] indication information of whether to transmit the reference set;

[0430] a period of measurement data in the reference set.

[0431] Optionally, the awareness configuration information further comprises at least one of:

[0432] a first threshold value for judging measurement data that does not need to be transmitted;

[0433] a second threshold value for judging measurement data that needs to be transmitted;

[0434] indication information of whether to perform normalization;

[0435] indication information of a first set for the first processing;

[0436] indication information of whether to transmit a maximum value used in the normalization process;

[0437] indication information of whether to perform quantization;

[0438] a quantization scheme;

[0439] indication information of a target object of the quantization;

[0440] a number of quantization bits;

[0441] indication information of whether to perform source coding;

[0442] a source coding scheme.

[0443] Optionally, the method further comprises:

[0444] the second device sends updated awareness configuration information to the first device and / or a third device;

[0445] wherein the updated awareness configuration information comprises at least one of:

[0446] indication information of an offset of measurement data in the reference set;

[0447] indication information of an offset of measurement data in the second set;

[0448] indication information of an offset of a period of the measurement data in the reference set.

[0449] The third device can be configured to receive sensing configuration information and obtain sensing measurement data (e.g., second measurement data) according to the sensing configuration information.

[0450] 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.

[0451] The data transmission device provided in the embodiments of the present application can be a communication device or a component in a communication device, for example, a chip. The communication device can be a terminal, a network side device or a server, etc. For example, the terminal can include, but is not limited to, the types of the terminal 11 listed above, the network side device can include, but is not limited to, the types of the network side device 12 listed above, and the embodiments of the present application are not limited specifically.

[0452] The data transmission device includes a receiving module, a sending module and a processing module. The receiving module, the sending module and the processing module can be implemented by software or hardware. When implemented by hardware, the processing module can be implemented by a processor, for example, a general processor, a special 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.

[0453] Specifically, referring to FIG. 10, when the data transmission device is a first device or a component in the first device, the data transmission device 300 includes:

[0454] The processing module 301 is configured to perform first processing on the first measurement data to obtain processed measurement data, wherein a data amount of the processed measurement data is less than a data amount of the first measurement data, and the first measurement data is obtained based on a perception measurement.

[0455] The processing module 301 is further configured to obtain second measurement data based on the processed measurement data.

[0456] The sending module 302 is configured to send the second measurement data to a second device.

[0457] Optionally, the processing module is specifically configured to:

[0458] determine a reference set from the first set of measurement data, wherein the first set is determined based on the first measurement data, and the reference set includes part of the measurement data in the first set;

[0459] determine a difference between measurement data in a second set and measurement data in the reference set, wherein the second set is a set of measurement data in the first set except the reference set;

[0460] The processed measurement data is the difference.

[0461] Optionally, the processing module is specifically configured to:

[0462] determine a reference set from the first set of measurement data, wherein the first set is determined based on the first measurement data, and the reference set includes first measurement data at a first time point in the first set;

[0463] determine a difference between measurement data in a second set and measurement data in the reference set, wherein the second set includes first measurement data at a second time point in the first set;

[0464] The processed measurement data is the difference.

[0465] Optionally, the first set is any one of the following:

[0466] a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing, OFDM, symbols of a plurality of antennas in the first measurement data;

[0467] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data;

[0468] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data;

[0469] In the first measurement data, a set of measurement data corresponding to multiple time delays and multiple Dopplers of multiple antennas;

[0470] In the first measurement data, a set of measurement data corresponding to multiple time delays of one antenna;

[0471] In the first measurement data, a set of measurement data corresponding to multiple time delays of multiple antennas;

[0472] In the first measurement data, a set of measurement data corresponding to multiple time delays of one antenna;

[0473] In the first measurement data, a set of measurement data corresponding to multiple Dopplers of multiple antennas;

[0474] In the first measurement data, a set of measurement data corresponding to multiple Dopplers of one antenna.

[0475] Optionally, the processing module is specifically configured to:

[0476] perform a second processing based on the processed measurement data to obtain second measurement data;

[0477] The second processing includes at least one of the following:

[0478] normalization, quantization, and source coding.

[0479] Optionally, the processing module is specifically configured to:

[0480] obtain a first maximum value of measurement data in a third set, the third set being a set of the processed measurement data;

[0481] determine a ratio of each measurement data in the third set to the first maximum value to obtain a processed third set;

[0482] perform a first quantization processing on the measurement data in the processed third set according to a first number of quantization bits to obtain first quantized measurement data;

[0483] obtain second measurement data based on the first quantized measurement data.

[0484] Optionally, the processing module is specifically configured to:

[0485] determine whether to perform source coding based on a distribution feature of the first quantized measurement data;

[0486] in a case where it is determined to perform source coding, perform a first source coding on the first quantized measurement data to obtain first source coded measurement data;

[0487] obtaining second measurement data, the second measurement data comprising the first source-encoded measurement data.

[0488] Optionally, the processing module is specifically configured to:

[0489] obtaining a second maximum value of the measurement data in the reference set;

[0490] determining a ratio of each measurement data in the reference set to the second maximum value, to obtain a processed reference set;

[0491] performing second quantization processing on the measurement data in the processed reference set according to a second number of quantization bits, to obtain second quantized measurement data;

[0492] in a case where it is determined to perform source encoding, performing second source encoding on the second quantized measurement data, to obtain second source-encoded measurement data;

[0493] wherein the second measurement data further comprises the second source-encoded measurement data.

[0494] Optionally, the sending module is further configured to:

[0495] sending target information to the second device;

[0496] wherein the target information comprises any one of the following:

[0497] the first maximum value and the second maximum value;

[0498] an association relationship between the first maximum value and the second maximum value.

[0499] Optionally, the apparatus further comprises:

[0500] a receiving module configured to receive sensing configuration information sent by the second device, the sensing configuration information being used to obtain the second measurement data;

[0501] wherein the sensing configuration information comprises at least one of the following:

[0502] indication information of the reference set for the first processing;

[0503] indication information of a second set for the first processing;

[0504] a scheme of the first processing;

[0505] indication information of a target object of the first processing;

[0506] indication information of whether to transmit a reference set;

[0507] a period of the measurement data in the reference set.

[0508] Optionally, the awareness configuration information further comprises at least one of:

[0509] a first threshold value for judging the measurement data not to be transmitted;

[0510] a second threshold value for judging the measurement data to be transmitted;

[0511] indication information of whether to perform normalization;

[0512] indication information of a first set for the first processing;

[0513] indication information of whether to transmit the maximum value in the normalization process;

[0514] indication information of whether to perform quantization;

[0515] a quantization scheme;

[0516] indication information of a target object of quantization;

[0517] a number of quantization bits;

[0518] indication information of whether to perform source coding;

[0519] a source coding scheme.

[0520] Optionally, the receiving module is further configured to:

[0521] receive updated awareness configuration information sent by the second device, the updated awareness configuration information being used to obtain the second measurement data;

[0522] wherein the updated awareness configuration information comprises at least one of:

[0523] indication information of an offset of the measurement data in the reference set;

[0524] indication information of an offset of the measurement data in the second set;

[0525] indication information of an offset of the period of the measurement data in the reference set.

[0526] Referring to FIG. 11, when the data transmission apparatus is the second device or a component in the second device, the data transmission apparatus 400 comprises:

[0527] a receiving module 401 configured to receive second measurement data sent by a first device;

[0528] The processing module 402 is configured to perform third processing on the second measurement data based on the perception configuration information, to obtain third measurement data.

[0529] Optionally, the apparatus further comprises:

[0530] The sending module is configured to send the perception configuration information to the first device.

[0531] The perception configuration information comprises at least one of the following:

[0532] Indication information of a reference set for the first processing;

[0533] Indication information of a second set for the first processing;

[0534] A scheme of the first processing;

[0535] Indication information of a target object of the first processing;

[0536] Indication information of whether to transmit a reference set;

[0537] A period of measurement data in the reference set.

[0538] Optionally, the perception configuration information further comprises at least one of the following:

[0539] A first threshold value for judging measurement data that does not need to be transmitted;

[0540] A second threshold value for judging measurement data that needs to be transmitted;

[0541] Indication information of whether to perform normalization;

[0542] Indication information of a first set for the first processing;

[0543] Indication information of whether to transmit a maximum value used in the normalization process;

[0544] Indication information of whether to perform quantization;

[0545] A quantization scheme;

[0546] Indication information of a target object of quantization;

[0547] A number of quantization bits;

[0548] Indication information of whether to perform source coding;

[0549] A source coding scheme.

[0550] Optionally, the sending module is further configured to:

[0551] send updated perception configuration information to the first device.

[0552] The updated perception configuration information includes at least one of the following:

[0553] indication information of an offset of the measurement data in the reference set;

[0554] indication information of an offset of the measurement data in the second set;

[0555] indication information of an offset of a period of the measurement data in the reference set.

[0556] Optionally, the receiving module is further configured to:

[0557] receive target information sent by the first device;

[0558] The processing module is specifically configured to:

[0559] perform third processing on the second measurement data based on the perception configuration information and the target information;

[0560] The target information includes any one of the following:

[0561] a first maximum value and a second maximum value, and a relationship between the first maximum value and the second maximum value;

[0562] The first maximum value and the second maximum value are maximum values used in a normalization process.

[0563] The data transmission apparatus provided by the embodiments of the present application can implement each process implemented by the method embodiments of FIG. 6 or FIG. 9, and achieve the same technical effects. To avoid repetition, details are not described herein.

[0564] As shown in FIG. 12, the embodiments of the present application further provide a communication device 500, which includes a processor 501 and a memory 502, and the memory 502 stores programs or instructions executable on the processor 501. For example, when the communication device 500 is a first device, the programs or instructions are executed by the processor 501 to implement each step of the above-mentioned data transmission method embodiments applied to the first device, and achieve the same technical effects. When the communication device 500 is a second device, the programs or instructions are executed by the processor 501 to implement each step of the above-mentioned data transmission method embodiments applied to the second device, and achieve the same technical effects. To avoid repetition, details are not described herein.

[0565] The embodiment of the present application further provides a terminal, which can be the first device, comprising a processor and a communication interface, the communication interface and the processor are coupled, the processor is used for running programs or instructions, and the steps in the method embodiment shown in FIG. 6 are realized. The terminal embodiment corresponds to the above-mentioned first device side method embodiment, and each implementation process and implementation manner of the above-mentioned method embodiment can be applied to the terminal embodiment, and the same technical effects can be achieved. The terminal can be the data transmission device shown in FIG. 10. Specifically, FIG. 13 is a schematic diagram of the hardware structure of a terminal for implementing the embodiment of the present application.

[0566] The terminal 600 includes, but is not limited to, at least part of the components such as a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609, and a processor 610.

[0567] Those skilled in the art can understand that the terminal 600 can further include a power supply (such as a battery) for supplying power to each component, and the power supply can be logically connected to the processor 610 through a power management system, so as to realize the functions of power management, such as charging, discharging, and power consumption management, through the power management system. The terminal structure shown in FIG. 13 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 will not be described here.

[0568] It should be understood that in the embodiment of the present application, the input unit 604 can include a graphics processor 6041 and a microphone 6042, and the graphics processor 6041 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 606 can include a display panel 6061, which can be configured in the form of a liquid crystal display, an organic light-emitting diode, etc. The user input unit 607 includes at least one of a touch panel 6071 and other input devices 6072. The touch panel 6071 is also called a touch screen. The touch panel 6071 can include two parts of a touch detection device and a touch controller. The other input devices 6072 can include, but are not limited to, a physical keyboard, function keys (such as volume control keys, on-off keys, etc.), a trackball, a mouse, a joystick, etc., which will not be described here.

[0569] In the embodiment of the present application, after the radio frequency unit 601 receives the downlink data from the network side device, the radio frequency unit 601 can transmit the downlink data to the processor 610 for processing. In addition, the radio frequency unit 601 can send uplink data to the network side device. Generally, the radio frequency unit 601 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, etc.

[0570] The memory 609 can be used to store software programs or instructions and various data. The memory 609 can mainly include a first storage area storing programs or instructions and a second storage area storing data, wherein the first storage area can store an operating system, application programs or instructions required by at least one function (such as a sound playing function, an image playing function, etc.), and the like. In addition, the memory 609 can include a volatile memory or a non-volatile memory. The non-volatile memory can be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically EPROM (EEPROM), or a flash memory. The volatile memory can be a Random Access Memory (RAM), a Static RAM (SRAM), a Dynamic RAM (DRAM), a Synchronous DRAM (SDRAM), a Double Data Rate SDRAM (DDR SDRAM), an Enhanced SDRAM (ESDRAM), a Synch link DRAM (SLDRAM), and a Direct Rambus RAM (DRRAM). The memory 609 in the embodiments of the present application includes but is not limited to these and any other suitable types of memory.

[0571] The processor 610 can include one or more processing units; optionally, the processor 610 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and an application program, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It can be understood that the above-mentioned modem processor can also not be integrated into the processor 610.

[0572] The processor 610 is configured to perform first processing on the first measurement data to obtain processed measurement data, wherein a data amount of the processed measurement data is less than a data amount of the first measurement data, and the first measurement data is obtained based on a perception measurement.

[0573] The processor 610 is further configured to obtain second measurement data based on the processed measurement data.

[0574] The radio frequency unit 601 is configured to transmit the second measurement data to a second device.

[0575] Optionally, the processor 610 is specifically configured to:

[0576] determine a reference set from the first set of measurement data, the first set being determined based on the first measurement data, the reference set including part of the measurement data in the first set;

[0577] determine a difference between the measurement data in a second set and the measurement data in the reference set, the second set being a set of measurement data in the first set other than the reference set;

[0578] The processed measurement data is the difference.

[0579] Optionally, the processor 610 is specifically configured to:

[0580] determine a reference set from the first set of measurement data, the first set being determined based on the first measurement data, the reference set including first measurement data at a first time point in the first set;

[0581] determine a difference between the measurement data in a second set and the measurement data in the reference set, the second set including first measurement data at a second time point in the first set;

[0582] The processed measurement data is the difference.

[0583] Optionally, the first set is any one of the following:

[0584] a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing (OFDM) symbols of a plurality of antennas in the first measurement data;

[0585] a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data;

[0586] a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data;

[0587] a set of measurement data corresponding to a plurality of time delays and Dopplers of a plurality of antennas in the first measurement data;

[0588] a set of measurement data corresponding to a plurality of time delays and Dopplers of one antenna in the first measurement data;

[0589] a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data;

[0590] In the first measurement data, a set of measurement data corresponding to a plurality of time delays of one antenna;

[0591] In the first measurement data, a set of measurement data corresponding to a plurality of Dopplers of a plurality of antennas;

[0592] In the first measurement data, a set of measurement data corresponding to a plurality of Dopplers of one antenna.

[0593] Optionally, the processor 610 is specifically configured to:

[0594] perform a second processing based on the processed measurement data to obtain second measurement data;

[0595] The second processing includes at least one of the following:

[0596] normalization, quantization, and source coding.

[0597] Optionally, the processor 610 is specifically configured to:

[0598] obtain a first maximum value of measurement data in a third set, the third set being a set of the processed measurement data;

[0599] determine a ratio of each measurement data in the third set to the first maximum value to obtain a processed third set;

[0600] perform a first quantization processing on the measurement data in the processed third set according to a first number of quantization bits to obtain first quantized measurement data;

[0601] obtain second measurement data based on the first quantized measurement data.

[0602] Optionally, the processor 610 is specifically configured to:

[0603] determine whether to perform source coding based on a distribution feature of the first quantized measurement data;

[0604] in a case where it is determined to perform source coding, perform a first source coding on the first quantized measurement data to obtain first source coded measurement data;

[0605] obtain second measurement data, the second measurement data including the first source coded measurement data.

[0606] Optionally, the processor 610 is specifically configured to:

[0607] obtain a second maximum value of measurement data in the reference set;

[0608] determining a ratio of each measurement data in the reference set to the second maximum value, to obtain a processed reference set;

[0609] performing second quantization processing on the measurement data in the processed reference set according to a second number of quantization bits, to obtain second quantized measurement data;

[0610] in a case where it is determined to perform source coding, performing second source coding on the second quantized measurement data, to obtain second source coded measurement data;

[0611] wherein the second measurement data further comprises the second source coded measurement data.

[0612] Optionally, the radio frequency unit 601 is further configured to:

[0613] send target information to the second device;

[0614] wherein the target information comprises any one of the following:

[0615] the first maximum value and the second maximum value;

[0616] an association relationship between the first maximum value and the second maximum value.

[0617] Optionally, the apparatus further comprises:

[0618] a radio frequency unit 601, configured to receive sensing configuration information sent by the second device, the sensing configuration information being used to obtain the second measurement data;

[0619] wherein the sensing configuration information comprises at least one of the following:

[0620] indication information of the reference set for the first processing;

[0621] indication information of the second set for the first processing;

[0622] a scheme of the first processing;

[0623] indication information of a target object of the first processing;

[0624] indication information of whether to transmit a reference set;

[0625] a period of measurement data in a reference set.

[0626] Optionally, the sensing configuration information further comprises at least one of the following:

[0627] a first threshold value, the first threshold value being used to determine measurement data that does not need to be transmitted;

[0628] A second threshold value, the second threshold value being used for judging measurement data to be transmitted;

[0629] Indication information of whether to perform normalization;

[0630] Indication information of a first set for the first processing;

[0631] Indication information of whether to transmit a maximum value in the normalization process;

[0632] Indication information of whether to perform quantization;

[0633] A quantization scheme;

[0634] Indication information of a target object of quantization;

[0635] A number of quantization bits;

[0636] Indication information of whether to perform source coding;

[0637] A source coding scheme.

[0638] Optionally, the radio frequency unit 601 is further configured to:

[0639] receive updated perception configuration information sent by the second device, the updated perception configuration information being used to obtain the second measurement data;

[0640] The updated perception configuration information includes at least one of the following:

[0641] Indication information of an offset of measurement data in the reference set;

[0642] Indication information of an offset of measurement data in the second set;

[0643] Indication information of an offset of a period of measurement data in the reference set.

[0644] It can be understood that the implementation processes of each implementation manner mentioned in the embodiment can refer to the related description of the method embodiment of FIG. 6, and achieve the same or corresponding technical effects. To avoid repetition, they will not be described here.

[0645] The embodiment of the application further provides a network side device, which can be the first device or the second device. The network side device comprises a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to realize the steps of the method embodiments shown in FIG. 6 or FIG. 9. The network side device embodiment corresponds to the first device or the second device method embodiment. Each implementation process and implementation manner of the above method embodiments can be applied to the network side device embodiment, and the same technical effects can be achieved.

[0646] Specifically, the embodiment of the present application further provides a network side device, which can be the data transmission apparatus shown in FIG. 10 or FIG. 11. As shown in FIG. 14, the network side device 700 includes an antenna 701, a radio frequency device 702, a baseband device 703, a processor 704 and a memory 705. The antenna 701 is connected with the radio frequency device 702. In the uplink direction, the radio frequency device 702 receives information through the antenna 701, and sends the received information to the baseband device 703 for processing. In the downlink direction, the baseband device 703 processes information to be sent, and sends the processed information to the radio frequency device 702, which processes the received information and sends it out through the antenna 701.

[0647] The method performed by the network side device in the above embodiment can be implemented in the baseband device 703, which includes a baseband processor.

[0648] The baseband device 703 may, for example, include at least one baseband board on which a plurality of chips are arranged, as shown in FIG. 14. One of the chips is, for example, a baseband processor, which is connected with the memory 705 through a bus interface to call programs in the memory 705 and perform the operations of the network device shown in the above method embodiments.

[0649] The network side device can further include a network interface 706, which is, for example, a common public radio interface (CPRI).

[0650] Specifically, the network side device 700 of the embodiment of the present application further includes instructions or programs stored in the memory 705 and executable on the processor 704, and the processor 704 calls the instructions or programs in the memory 705 to perform the method performed by each module shown in FIG. 10 or FIG. 11 and achieve the same technical effects. To avoid repetition, details are not described herein.

[0651] Specifically, the embodiment of the present application further provides a network side device. As shown in FIG. 15, the network side device 800 includes a processor 801, a network interface 802 and a memory 803. The network side device can be the data transmission apparatus shown in FIG. 10 or FIG. 11. The network interface 802 is, for example, a common public radio interface (CPRI).

[0652] Specifically, the network side device 800 of the embodiment of the present application further includes instructions or programs stored on the memory 803 and executable on the processor 801, the processor 801 invokes the instructions or programs in the memory 803 to execute the method performed by each module shown in FIG. 10 or FIG. 11, and achieves the same technical effects. To avoid repetition, details are not described herein.

[0653] The embodiment of the present application further provides 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 embodiment, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0654] The processor is the processor in the terminal or the network side device 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.

[0655] The embodiment of the present application further provides 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 embodiment, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0656] It should be understood that the chip mentioned in the embodiment of the present application can also be referred to as a system chip, a system chip, a chip system or a system on chip, etc.

[0657] The embodiment of the present application further provides a computer program / program product, the computer program / program product is stored in a storage medium, the computer program / program product is executed by at least one processor to implement each process of the above-mentioned data transmission method embodiment, and the same technical effects can be achieved. To avoid repetition, details are not described herein.

[0658] The embodiment of the present application further provides a wireless communication system, including: a first device and a second device, the first device can be used to execute the steps of the data transmission method applied to the first device as described above, and the second device can be used to execute the steps of the data transmission method applied to the second device as described above.

[0659] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises a", "comprising", or the like does not, without more constraints, preclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element. Furthermore, it is to be understood that the methods and apparatuses of the present application can be carried out by specific hardware, by software, or by a combination of hardware and software. It is therefore, contemplated to this patent to cover any and all modifications, variations, or equivalents that fall within the scope of the present application. Accordingly, where a concept can have been illustrated in only one of the exemplary embodiments, various aspects of the concept can be modified and / or combined to produce a variety of other embodiments that are not specifically illustrated. Thus, for purposes of describing the present application, certain aspects of the application can be presented in terms of sequences of actions, but it should be appreciated that these sequences are examples and are not limiting. The sequences of actions could be changed, and other sequences could be implemented. Moreover, it should be appreciated that descriptions, if any, of any aspects of the application using words such as "can", "could", "might", or "can not" are intended to convey that such aspects are optional, and do not necessarily form part of the present application. Furthermore, it should be appreciated that the use of any of the following terms or descriptions should not be interpreted to imply any particular ordering of actions unless specifically described as such. Such terms or descriptions are used to generally describe integrations between or among various embodiments, and should not be construed to require such integrations unless such integrations are specifically described.

[0660] From the above description of the embodiments, it is apparent that the method of the embodiments can be realized by means of computer software products and necessary universal hardware platforms, of course, also by hardware. The computer software products are stored in storage media (such as ROM, RAM, magnetic disc, optical disc, etc.), and include a plurality of instructions to make the terminal or network side equipment execute the method described in various embodiments of the present application.

[0661] The embodiments of the present application are described above in conjunction with the drawings, but the present application is not limited to the above specific embodiments, and the above specific embodiments are merely illustrative, but 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, The method comprises: a first device performs first processing on first measurement data to obtain processed measurement data, a data amount of the processed measurement data being less than a data amount of the first measurement data, the first measurement data being obtained based on sensing measurement; the first device obtains second measurement data based on the processed measurement data; the first device sends the second measurement data to a second device.

2. The method of claim 1, wherein, The first device performs first processing on first measurement data to obtain processed measurement data, comprising: the first device determines a reference set from a first set of measurement data, the first set being determined based on the first measurement data, the reference set comprising part of the measurement data in the first set; the first device determines a difference between measurement data in a second set and measurement data in the reference set, the second set being a set of measurement data in the first set excluding the reference set; wherein the processed measurement data is the difference.

3. The method of claim 1, wherein, The first device performs first processing on first measurement data to obtain processed measurement data, comprising: the first device determines a reference set from a first set of measurement data, the first set being determined based on the first measurement data, the reference set comprising first measurement data at a first time point in the first set; the first device determines a difference between measurement data in a second set and measurement data in the reference set, the second set comprising first measurement data at a second time point in the first set; wherein the processed measurement data is the difference.

4. The method of claim 2 or 3, wherein, The first set is any one of the following: a set of measurement data corresponding to a plurality of orthogonal frequency division multiplexing, OFDM, symbols of a plurality of antennas in the first measurement data; a set of measurement data corresponding to a plurality of OFDM symbols of one antenna in the first measurement data; a set of measurement data corresponding to a plurality of antennas and a plurality of subcarriers of one OFDM symbol in the first measurement data; a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of a plurality of antennas in the first measurement data; a set of measurement data corresponding to a plurality of time delays and a plurality of Dopplers of one antenna in the first measurement data; a set of measurement data corresponding to a plurality of time delays of a plurality of antennas in the first measurement data; a set of measurement data corresponding to a plurality of time delays of one antenna in the first measurement data; a set of measurement data corresponding to a plurality of Dopplers of a plurality of antennas in the first measurement data; a set of measurement data corresponding to a plurality of Dopplers of one antenna in the first measurement data.

5. The method of any one of claims 1-4, wherein, The first device obtains second measurement data based on the processed measurement data, comprising: the first device performs second processing on the processed measurement data to obtain second measurement data; the second processing comprises at least one of the following: normalization; quantization; source coding.

6. The method of claim 5, wherein, The first device performs second processing on the processed measurement data to obtain second measurement data, comprising: obtaining a first maximum value of measurement data in a third set, the third set being a set of the processed measurement data; determining a ratio of each measurement data in the third set to the first maximum value to obtain a processed third set; performing first quantization processing on the measurement data in the processed third set according to a first number of quantization bits to obtain first quantized measurement data; obtaining second measurement data based on the first quantized measurement data.

7. The method of claim 6, wherein, The obtaining of the second measurement data based on the first quantized measurement data comprises: determining whether to perform source coding based on a distribution feature of the first quantized measurement data; performing first source coding on the first quantized measurement data to obtain first source coded measurement data in a case where it is determined to perform source coding; The second measurement data comprises the first source coded measurement data.

8. The method of claim 6 or 7, wherein, The first device performs second processing based on the processed measurement data to obtain second measurement data, and the method further comprises: obtaining a second maximum value of the measurement data in the reference set; determining a ratio of each measurement data in the reference set to the second maximum value to obtain a processed reference set; performing second quantization processing on the measurement data in the processed reference set according to a second number of quantization bits to obtain second quantized measurement data; performing second source coding on the second quantized measurement data to obtain second source coded measurement data in a case where it is determined to perform source coding; The second measurement data further comprises the second source coded measurement data.

9. The method of claim 8, wherein, The method further comprises: The first device sends target information to the second device; The target information comprises any one of the following: The first maximum value and the second maximum value; An association relationship between the first maximum value and the second maximum value.

10. The method of any one of claims 1-9, wherein, The method further comprises: The first device receives sensing configuration information sent by the second device, and the sensing configuration information is used to obtain the second measurement data; The sensing configuration information comprises at least one of the following: indication information of the reference set for the first processing; indication information of the second set for the first processing; a scheme of the first processing; indication information of a target object of the first processing; indication information of whether to transmit the reference set; a period of the measurement data in the reference set.

11. The method of claim 10, wherein, The sensing configuration information further comprises at least one of the following: a first threshold value used to determine measurement data that does not need to be transmitted; a second threshold value used to determine measurement data that needs to be transmitted; indication information of whether to perform normalization; indication information of the first set for the first processing; indication information of whether to transmit the maximum value in the normalization process; indication information of whether to perform quantization; a quantization scheme; indication information of a target object of quantization; a number of quantization bits; indication information of whether to perform source coding; a source coding scheme.

12. The method of claim 10 or 11, wherein, The method further comprises: The first device receives updated sensing configuration information sent by the second device, and the updated sensing configuration information is used to obtain the second measurement data; The updated sensing configuration information comprises at least one of the following: indication information of a shift of a period of the measurement data in the reference set; indication information of a shift of the measurement data in the second set; indication information of a shift of a period of the measurement data in the reference set.

13. A data transmission method, wherein, comprising: the second device receives the second measurement data sent by the first device; the second device performs third processing on the second measurement data based on the perception configuration information to obtain third measurement data.

14. The method of claim 13, wherein, the method further comprises: the second device sends the perception configuration information to the first device; wherein the perception configuration information comprises at least one of: indication information of a reference set for the first processing; indication information of a second set for the first processing; a scheme of the first processing; indication information of a target object of the first processing; indication information of whether to transmit a reference set; a period of the measurement data in the reference set.

15. The method of claim 14, wherein, the perception configuration information further comprises at least one of: a first threshold value for judging measurement data that does not need to be transmitted; a second threshold value for judging measurement data that needs to be transmitted; indication information of whether to perform normalization; indication information of a first set for the first processing; indication information of whether to transmit a maximum value used in a normalization process; indication information of whether to perform quantization; a quantization scheme; indication information of a target object of quantization; a number of quantization bits; indication information of whether to perform source coding; a source coding scheme.

16. The method of claim 14 or 15, wherein, the method further comprises: the second device sends updated perception configuration information to the first device; wherein the updated perception configuration information comprises at least one of: indication information of a shift of the measurement data in the reference set; indication information of a shift of the measurement data in the second set; indication information of a shift of a period of the measurement data in the reference set.

17. The method of any one of claims 13-16, wherein, the method further comprises: the second device receives target information sent by the first device; the second device performs third processing on the second measurement data based on the perception configuration information, comprising: the second device performs third processing on the second measurement data based on the perception configuration information and the target information; wherein the target information comprises any one of: a first maximum value and a second maximum value; and a correlation between the first maximum value and the second maximum value; the first maximum value and the second maximum value are both maximum values used in a normalization process.

18. A data transmission apparatus, wherein, comprising: a processing module, configured to perform first processing on first measurement data to obtain processed measurement data, a data amount of the processed measurement data being less than a data amount of the first measurement data, the first measurement data being obtained based on perception measurement; the processing module is further configured to obtain second measurement data based on the processed measurement data; a sending module, configured to send the second measurement data to a second device.

19. The apparatus of claim 18, wherein, the processing module is specifically configured to: determine a reference set from measurement data in a first set, the first set being determined based on the first measurement data, the reference set comprising part of the measurement data in the first set; determining a difference between the measurement data in the second set and the measurement data in the reference set, the second set being a set of measurement data in the first set other than the reference set; wherein the processed measurement data is the difference.

20. The apparatus of claim 18, wherein, The processing module is specifically configured to: determine a reference set from the measurement data in the first set, the first set being determined based on the first measurement data, the reference set including first measurement data at a first time point in the first set; determine a difference between the measurement data in the second set and the measurement data in the reference set, the second set including first measurement data at a second time point in the first set; wherein the processed measurement data is the difference.

21. The apparatus of any of claims 18-20, wherein, The processing module is specifically configured to: perform a second processing based on the processed measurement data to obtain second measurement data; The second processing includes at least one of the following: normalization; quantization; and source coding.

22. The apparatus of any one of claims 18-21, wherein, The apparatus further includes: a receiving module configured to receive sensing configuration information sent by the second device, the sensing configuration information being used to obtain the second measurement data; wherein the sensing configuration information includes at least one of the following: indication information of the reference set for the first processing; indication information of the second set for the first processing; a scheme of the first processing; indication information of a target object of the first processing; indication information of whether to transmit the reference set; a period of the measurement data in the reference set.

23. A data transmission apparatus, wherein, includes: a receiving module configured to receive second measurement data sent by the first device; a processing module configured to perform a third processing on the second measurement data based on sensing configuration information to obtain third measurement data.

24. The apparatus of claim 23, wherein, The apparatus further includes: a sending module configured to send sensing configuration information to the first device; wherein the sensing configuration information includes at least one of the following: indication information of the reference set for the first processing; indication information of the second set for the first processing; a scheme of the first processing; indication information of a target object of the first processing; indication information of whether to transmit the reference set; a period of the measurement data in the reference set.

25. A communications device, comprising: includes 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 1-12, or implement the steps of the data transmission method according to any one of claims 13-17.

26. 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 1-12, or implement the steps of the data transmission method according to any one of claims 13-17.

27. A computer program / program product, wherein, The computer program / program product is executed by at least one processor to implement the steps of the data transmission method according to any one of claims 1-12, or implement the steps of the data transmission method according to any one of claims 13-17.

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