Channel feedback methods, apparatus, terminal and network side device

By performing downward channel measurement and feedback target information in the terminal, and the mapping relationship between the sub -array or signal configuration information of the network side device, the problem of non -stable channel information feedback is solved, the accuracy of the downlink channel estimation is improved and the overhead is reduced.

WO2025021021A1PCT designated stage expired Publication Date: 2025-01-30VIVO MOBILE COMM CO LTD

Patent Information

Application Number
PCT/CN2024/106372
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-07-26
Filing Date
2024-07-19
Publication Date
2025-01-30

AI Technical Summary

Technical Problem

The prior art is difficult to effectively feedback non-stationary channel information, resulting in a decrease in downlink channel estimation accuracy.

Method used

By performing downward channel measurements in the terminal, the target information and the mapping relationship between the sub -array or signal configuration information of the network side device are obtained, and the channel feedback information is sent to the network side device based on this information to achieve feedback from non -smooth channel information.

Benefits of technology

The accuracy of the downward channel estimation is improved, the channel feedback expenses of the network side equipment and the terminal side are reduced, and the separation needs of the far field and the near field have been reduced.

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Abstract

The present application belongs to the technical field of communications. Disclosed are channel feedback methods, an apparatus, a terminal and a network side device. One channel feedback method in the embodiments of the present application comprises: executing downlink channel measurement to obtain first information, the first information comprising target information and a mapping relationship between the target information and at least one of a sub-array or signal configuration information of the network side device; and sending second information to the network side device, wherein the second information is determined on the basis of at least some information of the first information, the signal configuration information is used for downlink channel measurement, and the target information comprises at least one of multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measured value and a sensing result of sensing measurement, and a measured value of a sensing performance evaluation index, the first vector and the second vector being both used for downlink communication.
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Description

Channel feedback method, device, terminal and network side equipment

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to Chinese patent application No. 202310926220.6 filed on July 26, 2023, the entire contents of which are incorporated herein by reference. Technical Field

[0003] The present application belongs to the field of communication technology, and specifically relates to a channel feedback method, apparatus, terminal, and network-side equipment. Background Art

[0004] With the advancement of communication technology, the antenna arrays of network-side devices have grown in size, and wireless channels exhibit spherical wave propagation and spatial non-stationarity. Spherical wave propagation can easily degrade the performance of far-field codebook shaping based on discrete Fourier transform (DFT) vectors. Therefore, how to provide feedback on non-stationary channel information has become an urgent issue.

[0005] Summary of the Invention

[0006] The embodiments of the present application provide a channel feedback method, apparatus, terminal, and network-side equipment, which can solve the problem of non-stationary channel information feedback.

[0007] In a first aspect, a channel feedback method is provided, comprising:

[0008] The terminal performs downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of a subarray or signal configuration information of a network-side device;

[0009] The terminal sends second information to the network side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception;

[0010] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0011] In a second aspect, a channel feedback method is provided, comprising:

[0012] The network side device receives second information from the terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used by the network side device for at least one of communication and perception;

[0013] Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

[0014] In a third aspect, a channel feedback device is provided, comprising:

[0015] A first receiving module, configured to perform downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of subarray or signal configuration information of a network-side device;

[0016] A first sending module is configured to send second information to a network-side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception;

[0017] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0018] In a fourth aspect, a channel feedback device is provided, comprising:

[0019] A second receiving module is configured to receive second information from the terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used by the network-side device for at least one of communication and perception;

[0020] Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

[0021] In a fifth aspect, a terminal is provided, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0022] In a sixth aspect, a terminal is provided, comprising a processor and a communication interface, wherein the communication interface is configured to perform downlink channel measurement to obtain first information, the first information including target information and a mapping relationship between the target information and at least one of a subarray or signal configuration information of a network-side device; and send second information to the network-side device, the second information being determined based on at least part of the first information, and the second information being used for at least one of communication and perception.

[0023] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0024] In the seventh aspect, a network side device is provided, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the second aspect are implemented.

[0025] In an eighth aspect, a network-side device is provided, including a processor and a communication interface, wherein the communication interface is configured to receive second information from a terminal, the second information being determined based on at least part of the first information obtained by downlink channel measurement, and the second information being used by the network-side device for at least one of communication and perception;

[0026] Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

[0027] In the ninth aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented, or the steps of the method described in the second aspect are implemented.

[0028] In the tenth aspect, a wireless communication system is provided, comprising: a terminal and a network side device, wherein the terminal can be used to execute the steps of the method described in the first aspect, and the network side device can be used to execute the steps of the method described in the second aspect.

[0029] In the eleventh aspect, a chip is provided, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the method as described in the first aspect, or to implement the method as described in the second aspect.

[0030] In the twelfth aspect, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the method as described in the first aspect, or to implement the method as described in the second aspect.

[0031] In the embodiment of the present application, when performing downlink channel measurement, target information and a mapping relationship between the target information and at least one item of the subarray or signal configuration information of the network-side device are determined, and channel information feedback is performed based on the target information and the mapping relationship between the target information and at least one item of the subarray or signal configuration information of the network-side device, thereby achieving non-stationary channel information feedback. In this way, downlink channel estimation is performed and channel information feedback is performed based on the subarray of the network-side device, thereby improving the accuracy of downlink channel estimation. At the same time, there is no need to perform downlink channel measurement and reporting for the far field and near field separately, thereby reducing the downlink channel pilot overhead of the network-side device and the channel feedback overhead of the terminal side. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] FIG1 is a block diagram of a wireless communication system to which embodiments of the present application may be applied;

[0033] Figure 2 is a schematic diagram of the propagation of near-field spherical waves and far-field plane waves;

[0034] FIG3 is a schematic diagram of spatial non-stationary transmission;

[0035] FIG4 is a flow chart of a channel feedback method provided in an embodiment of the present application;

[0036] FIG5 is another schematic diagram of spatial non-stationary transmission;

[0037] FIG6 is a flow chart of another channel feedback method provided in an embodiment of the present application;

[0038] FIG7 is a schematic structural diagram of a channel feedback device provided in an embodiment of the present application;

[0039] FIG8 is a schematic structural diagram of another channel feedback device provided in an embodiment of the present application;

[0040] FIG9 is a schematic structural diagram of a communication device provided in an embodiment of the present application;

[0041] FIG10 is a schematic structural diagram of a terminal provided in an embodiment of the present application;

[0042] FIG11 is a schematic structural diagram of a network-side device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0043] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects, for example, the first object can be one or more. In addition, "or" in this application represents at least one of the connected objects. For example, "A or B" covers three options, namely, Option 1: including A but not including B; Option 2: including B but not including A; Option 3: including both A and B. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0044] The term "indication" in this application can be either a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, the operation to be performed, or the requested result, etc. in the instruction sent; an indirect indication can be understood as the receiver determining the corresponding information based on the instruction sent by the sender, or making a judgment and determining the operation to be performed or the requested result, etc. based on the judgment result.

[0045] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the technology described can be used for the systems and radio technologies mentioned above, as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and NR terminology is used in most of the following description, but these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) systems. th Generation, 6G) communication system.

[0046] FIG1 is a block diagram of a wireless communication system applicable to an embodiment of the present application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer), a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile internet device (MID), an augmented reality (AR), a virtual reality (VR) device, a robot, a wearable device (Wearable Device), an aircraft (Flight Vehicle), a vehicle-mounted device (VUE), a ship-mounted device, a pedestrian user equipment (PUE), a smart home (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), a game console, a personal computer (PC), an ATM, or a self-service machine, or other terminal-side devices. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be called a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (WLAN) access point (AP) or a wireless fidelity (WiFi) node, etc.Among them, the base station can be referred to as Node B (NB), Evolved Node B (eNB), the next generation Node B (gNB), New Radio Node B (NR Node B), access point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home Evolved Node B (home evolved Node B), Transmission Reception Point (TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0047] The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (MME), access mobility management function (AMF), session management function (SMF), user plane function (UPF), policy control function (PCF), policy and charging rules function unit (PCRF), edge application service discovery function (EASDF), unified data management (UDM), unified data repository (UDR), home user server (HSS), centralized network configuration (CNC), network storage function (NRF), network exposure function (NEF), local NEF (L-NEF), binding support function (BSF), application function ( It should be noted that in the embodiments of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

[0048] For ease of understanding, some of the contents involved in the embodiments of this application are described below:

[0049] 1. Spherical wave propagation and spatial non-stationarity.

[0050] In 5G NR systems, user equipment (UE) is assumed to always be in the far field of the base station. In this case, the signal propagation between the base station and the UE can be approximately modeled using a plane wave model. As shown in Figure 1, in the plane wave model, the propagation paths between the base station's antennas and the UE or reflector (or scatterer) are parallel. Therefore, the phase difference between the propagation paths between each antenna and the UE / reflector (or scatterer) is determined solely by the antenna array geometry. Based on the plane wave model, the base station's beam angle can be controlled by controlling the phase difference between the base station's antennas.

[0051] In the near field, the propagation paths between the base station's antennas and the UE or reflectors (or scatterers) can no longer be considered parallel and need to be modeled using spherical waves. There are several differences between near-field communication and far-field communication.

[0052] First, the phase of the received signal varies nonlinearly across the array. In the far field, the phase of the array's steering vector scales approximately linearly with each element, making the mathematical analysis tractable. However, this property does not hold in the near field.

[0053] Second, as the array aperture increases, the amplitude or path loss variation across the array needs to be considered. This is because the distance between a user and the center of the array may be very different from the distance between a user and the edge of the array.

[0054] Third, in the near field, the tilt angle of the incident wave varies greatly from the center to the edge of the array, which causes the effective projected aperture of different antennas on the array to change.

[0055] Another change faced by users in the near-field area is channel non-stationarity. This is because, due to the large array size, antenna elements in different areas of the array experience different propagation environments, resulting in spatially non-stationary characteristics of the channel. For a large-scale antenna array, signals reflected (or scattered) by certain reflectors (or scatterers) in the environment can only be received by antennas within a certain local area of ​​the array. Conversely, only signals transmitted by antennas within a certain local area of ​​the array can be reflected (or scattered) by certain reflectors (or scatterers) in the environment. Correspondingly, this local area is called the visible area (of the multipath on the array). As shown in Figure 2, the visible area of ​​"far-field cluster 1" is "visible area 1," and the visible area of ​​"near-field cluster 1" is "visible area 2." It should be noted that, for clarity, Figure 2 only depicts clusters whose visible area (or length) is smaller than the entire base station (BS) array. In real environments, reflectors (or scatterers) may have visible areas that extend across the entire array.

[0056] 2. Network energy saving.

[0057] Technical Background of Airspace Energy Saving: Massive Multiple-Input Multiple-Output (MIMO) consumes more energy due to the large number of antennas and corresponding RF components. Traditional base station energy conservation measures primarily rely on on-site power-off, time-controlled switching, and cell blocking. However, these methods are relatively crude and fail to address user experience. In the 5G era, 5G base stations utilize large-scale 64T64R array antennas, supporting greater bandwidth and other factors, resulting in higher energy consumption than 4G base stations. Furthermore, due to the high frequency band and the limited coverage range of a single station, 5G base station deployments will require two to three times the scale of 4G base stations to achieve the same coverage as 4G networks. The higher power consumption of equipment and the greater number of sites inevitably lead to even greater power consumption. Excessive power consumption in 5G has become a pain point for current network operations.

[0058] Base station energy conservation can be categorized into symbol shutdown, carrier shutdown, channel shutdown, and deep sleep technologies based on their implementation principles. When the number of UEs in a cell is small, the capacity and coverage gains achieved by massive MIMO can be redundant. In this case, the network can disable some Transmitter Receiver Units (TXRUs) to achieve network energy conservation. Disabling the TXRUs corresponding to some antenna elements can serve a small number of users. This reduces beam coverage and increases beamwidth.

[0059] The channel feedback method provided in the embodiments of the present application is described in detail below through some embodiments and their application scenarios in conjunction with the accompanying drawings.

[0060] 4 , an embodiment of the present application provides a channel feedback method. As shown in FIG4 , the channel feedback method includes:

[0061] Step 401: The terminal performs downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of subarray or signal configuration information of a network-side device.

[0062] Step 402: The terminal sends second information to a network-side device, where the second information is determined based on at least part of the first information and is used for at least one of communication and perception.

[0063] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0064] In an embodiment of the present application, the subarray of the above-mentioned network side device is a subarray pre-demarcated by the network side device on the overall array, which is used to represent the visible area of ​​the network side device. The number of antenna ports in the subarray can be greater than or equal to 1, and the number of antenna array elements in the subarray can be greater than or equal to 1. Among them, the visible area of ​​the network side device includes the visible area to the terminal and the visible area to the reflector (or scatterer) in the environment. For the terminal, its visible area is the antenna area where there is a direct path between the network side device and the terminal; for the reflector (or scatterer) in the environment, its visible area is the antenna area including the reflection path (or scattering path) of the reflector (or scatterer) in all signal propagation paths between the network side device and the terminal.

[0065] Optionally, the signal configuration information is associated with a sub-array of network-side devices, that is, the sub-array of network-side devices associated with the target information can be determined according to the association relationship between the target information and the signal configuration information.

[0066] Optionally, the first vector and the second vector are both precoding vectors or beamforming vectors, suitable for downlink communication transmission. The first vector and the second vector themselves contain downlink channel information, or the first vector and the second vector are calculated based on the downlink channel information.

[0067] In the embodiment of the present application, when performing downlink channel measurement, target information and a mapping relationship between the target information and at least one item of the subarray or signal configuration information of the network-side device are determined, and channel information feedback is performed based on the target information and the mapping relationship between the target information and at least one item of the subarray or signal configuration information of the network-side device, thereby achieving non-stationary channel information feedback. In this way, downlink channel estimation is performed and channel information feedback is performed based on the subarray of the network-side device, thereby improving the accuracy of downlink channel estimation. At the same time, there is no need to perform downlink channel measurement and reporting for the far field and near field separately, thereby reducing the downlink channel pilot overhead of the network-side device and the channel feedback overhead of the terminal side.

[0068] Optionally, in some embodiments, the method further comprises:

[0069] The terminal sends channel feedback indication information to the network side device, where the channel feedback indication information is used to indicate the type of content included in the second information.

[0070] In an embodiment of the present application, the above-mentioned channel feedback indication information and the above-mentioned second information can be carried by the same signaling or different signaling. Since the terminal sends the channel feedback indication information to the network side device, the channel information that needs to be fed back can be determined based on the implementation of the terminal, thereby improving the flexibility of channel feedback.

[0071] For example: in some embodiments, type 1 corresponds to the second information type including multipath parameter information (including at least one of the complex amplitude of the downlink channel multipath, the delay of the multipath, the angle of the multipath, the near-far field information, the first-hop multipath distance, the last-hop multipath distance and the subarray index), and the mapping relationship between the multipath parameter information and at least one item of the subarray or signal configuration information of the network side device; type 2 corresponds to the second information type including the first vector and its mapping relationship with at least one item of the subarray or signal configuration information of the network side device; type 3 corresponds to the second information type including the second vector and its mapping relationship with at least one item of the subarray or signal configuration information of the network side device; type 4 corresponds to the second information type including the downlink channel estimation matrix, the covariance matrix of the downlink channel estimation matrix or the correlation matrix of the downlink channel estimation matrix, and its mapping relationship with at least one item of the subarray or signal configuration information of the network side device; type 5 corresponds to the second information type including any at least two of the above four types.

[0072] Optionally, in some embodiments, the multipath parameter includes at least one of a complex amplitude of the downlink channel multipath, a multipath delay, a multipath angle, far-field and near-field information, a first bounce cluster / path / subpath distance (FBCD), and a last bounce cluster / path / subpath distance (LBCD);

[0073] The far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, where the first set is a subarray set of all subarrays of the network-side device, where the signal propagation path between the network-side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and a preset reference point of the network-side device; and the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and a preset reference point of the terminal.

[0074] In the embodiment of the present application, the above sub-array set can be understood as the above visible area, that is, each visible area corresponds to a sub-array set. It should be understood that the visible area can be a region set consisting of multiple spatially discontinuous regions.

[0075] Optionally, the multipath angle may include at least one of an azimuth of arrival (AOA), an azimuth of departure (AOD), an elevation of arrival (EOA), and an elevation of departure (EOD). The complex amplitude of the downlink channel multipath includes amplitude and phase.

[0076] Optionally, the mapping relationship between the multipath parameter and the subarray of the network-side device includes any one of the following:

[0077] A mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device;

[0078] A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of the subarray of the network-side device;

[0079] A mapping relationship between the multipath parameters and a target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device;

[0080] The mapping relationship between the multipath parameters, target formation and antenna configuration information.

[0081] In an embodiment of the present application, when the number of antenna ports of the network side device subarray is greater than 1, the multipath parameter may be associated with at least one antenna port index of at least one subarray of the network side device.

[0082] Optionally, the signal configuration information (or parameter configuration information) may include at least one of the following:

[0083] Waveform types, such as Orthogonal frequency division multiplex (OFDM), Single-carrier Frequency-Division Multiple Access (SC-FDMA), Orthogonal Time-Frequency Space (OTFS), Frequency Modulated Continuous Wave (FMCW), and pulse signals;

[0084] Subcarrier spacing: For example, the subcarrier spacing of the OFDM system is 30kHz;

[0085] Guard interval: The time interval between the moment a signal ends sending and the moment the latest echo signal of the signal is received; this parameter is proportional to the maximum sensing distance; for example, it can be measured by 2d max / c calculated, d max is the maximum sensing distance (belongs to the sensing requirement), for example, for the self-transmitted and self-received sensing signal or reference signal, d max Represents the maximum distance between the signal receiving point and the signal transmitting point. In some cases, the OFDM signal cyclic prefix (CP) can serve as the minimum guard interval.

[0086] Bandwidth: This parameter is inversely proportional to the range resolution and can be obtained by c / (2Δd), where Δd is the range resolution (perception requirement) and c is the speed of light.

[0087] Burst duration: This parameter is inversely proportional to the rate resolution (a perception requirement). It is the time span of the signal and is mainly used to calculate the Doppler frequency shift. This parameter can be calculated by c / (2f c Δv) is calculated; where Δv is the velocity resolution; f c is the carrier frequency of the signal;

[0088] Time domain interval: This parameter can be expressed by c / (2f c v range ) is calculated; where v range It is the maximum rate minus the minimum speed (belongs to the perception requirement); this parameter is the time interval between two adjacent signals;

[0089] Transmit signal power, for example, from -20dBm to 23dBm, with a value of 2dBm;

[0090] Signal format, such as Sounding Reference Signal (SRS), Demodulation Reference Signal (DMRS), Positioning Reference Signal (PRS), or other predefined signals, as well as related sequence format information;

[0091] Signal direction; for example, the direction of a sensing signal or a reference signal or beam information;

[0092] Time resources, such as the time slot index or symbol index of the time slot where the perception signal or reference signal is located; among them, time resources are divided into two types: one is a one-time time resource, for example, one symbol sends an omnidirectional signal; the other is a non-one-time time resource, such as multiple groups of periodic time resources or discontinuous time resources (which may include start time and end time). Each group of periodic time resources sends a signal in the same direction, and the beam directions of different groups of periodic time resources are different;

[0093] Frequency resources, including the signal's center frequency, bandwidth, resource block (RB) or subcarrier, point A, and starting bandwidth location;

[0094] Quasi co-location (QCL) relationship, for example, the signal includes multiple resources, each resource is associated with a synchronization signal block (Synchronization Signal and PBCH block, SSB) QCL, QCL includes Type A (Type A), Type B, Type C or Type D;

[0095] Antenna configuration information. The antenna configuration information includes at least one of the following:

[0096] Antenna element identification (ID) or antenna port ID used to transmit the sensing signal or reference signal;

[0097] Panel ID and array element ID used to transmit sensing signals or reference signals;

[0098] The position information of the antenna element used to transmit the sensing signal or reference signal relative to a local reference point on the antenna array (which can be expressed in Cartesian coordinates (x, y, z) or spherical coordinates) express);

[0099] The position information of the panel used to transmit the sensing signal or reference signal relative to a local reference point on the antenna array (can be expressed in Cartesian coordinates (x, y, z) or spherical coordinates) ), and the position information of the antenna array elements used to send sensing signals within these selected panels relative to a unified reference point of the panel (such as the center point of the panel) (which can be expressed in Cartesian coordinates (x, y, z) or spherical coordinates) express);

[0100] Bitmap information of the antenna array element. For example, the bitmap uses "1" to indicate that the array element is selected for transmitting the sensing signal or reference signal, and "0" to indicate that the array element is not selected (and vice versa).

[0101] The bitmap information of the array panel. For example, the bitmap uses "1" to indicate that the panel is selected for transmitting the perception signal or reference signal, and "0" to indicate that the array element is not selected (or vice versa). As well as the array element bitmap information within these selected panels;

[0102] Antenna array element amplitude, phase and gain information, that is, antenna array element pattern information.

[0103] It should be understood that the transmission mentioned in the embodiments of the present application can be understood to include at least one of sending and receiving.

[0104] Optionally, regarding the mapping relationship between the multipath parameters and the target formation and antenna ports, for example, the multipath parameters are associated with "formation 2: rectangular array" and antenna port index {1, 4, 13, 16}, where the physical antennas corresponding to the antenna port index {1, 4, 13, 16} are the physical antennas at the four corners of the rectangular array. The above association method, in which the multipath parameters are associated with "formation 2: rectangular array" and antenna port index {1, 4, 13, 16}, can be equivalently understood as: the multipath parameters are associated with antenna port index {1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16}.

[0105] Optionally, in some embodiments, the above-mentioned perception measurements may be divided into the following four categories:

[0106] First-level measurement quantities (received signal / original channel information), including: complex results of the received signal / channel response, amplitude / phase, I / Q path, and their operation results (operations include addition, subtraction, multiplication, and division; matrix addition, subtraction, multiplication, and division; matrix transposition; trigonometric operations; square root operations; and power operations, as well as threshold detection results and maximum / minimum value extraction results from the above operation results; operations also include Fast Fourier Transform (FFT) / Inverse Fast Fourier Transform (IFFT), Discrete Fourier Transform (DFT) / Inverse Discrete Fourier Transform (IDFT), 2D-FFT, 3D-FFT, matched filtering, autocorrelation operation, wavelet transform, and digital filtering, as well as threshold detection results and maximum / minimum value extraction results from the above operation results);

[0107] The second-level measurement quantity (basic measurement quantity) includes: time delay, Doppler, angle, intensity, and their multi-dimensional combination representation;

[0108] Level 3 measurement quantities (basic attributes / states), including: distance, speed, direction, spatial position, acceleration;

[0109] The fourth level of measurement (advanced attributes / states) includes: target presence, trajectory, movement, expression, vital signs, quantity, imaging results, weather, air quality, shape, material, and composition.

[0110] Optionally, the above-mentioned perception measurement also includes corresponding label information:

[0111] Perceive signal identification information;

[0112] Perception measurement configuration identification information;

[0113] Perception service information (e.g., perception service ID);

[0114] Data subscription ID;

[0115] The purpose of the measurement (communication, perception, synaesthesia);

[0116] Time information;

[0117] Perceive node information (e.g., UE ID, node location, device orientation);

[0118] Perception link information (e.g., perception link sequence number, transmitting and receiving node identification);

[0119] Measurement quantity description information (form, such as amplitude value, phase value, complex value combining amplitude and phase; resource type, such as time domain measurement result, frequency domain resource measurement result);

[0120] Measurement indicator information (e.g., Signal-to-Noise Ratio (SNR), perceived SNR).

[0121] Optionally, the above-mentioned perception result may be a result obtained by further calculating the perception measurement value, such as the position of the perception target, the motion trajectory of the perception target, etc.

[0122] Optionally, the above-mentioned perceptual performance evaluation index may be calculated based on a perceptual measurement quantity, and may specifically include at least one of the following:

[0123] Perception SNR, which is the ratio of the perception signal energy reflected by the perception object or perception area to the noise signal energy in the environment and the device;

[0124] Perception signal-to-interference plus noise ratio (SINR), which is the ratio of the perception signal energy reflected by the perception object or perception area to the sum of the energy of the interference signal and noise signal in the environment and device;

[0125] The statistical mean, standard deviation, or variance of multiple measurements of the same perceptual measure;

[0126] The deviation between the predicted value of the sensory measurement quantity or sensory result and the actual measurement value, as well as the statistical mean, standard deviation or variance of the deviation;

[0127] Ambiguity function-related evaluation indicators include the normalized sidelobe level (NSL), which is the height of the highest sidelobe of the normalized ambiguity function; or the ratio of the main lobe to the highest sidelobe of the ambiguity function (or the ratio of the highest sidelobe to the main lobe); in addition, the number of normalized ambiguity function sidelobes with peaks above a given threshold, total power, total energy, and the width of the ambiguity function main lobe (3dB width) may also be included;

[0128] The Cramér-Rao Lower Bound (CRLB) is the lowest variance that can be achieved by all unbiased estimators. It is mathematically equal to the inverse of the Fisher information and is related to the perceived SNR.

[0129] The Capacity-Distortion Tradeoff function quantitatively gives the maximum achievable rate of reliable transmission of the synaesthesia integrated system under given distortion constraints;

[0130] Equivalent mean square error (MSE) converts the spectral efficiency of communication into equivalent radar mean square error and combines it with the perception Cramer-Rao lower bound to obtain the result.

[0131] Radar Estimation-Communication Rate, which uses the sensing channel as a non-cooperative

[0132] The mutual information between the communication channel, the perception system and the target is the estimated rate;

[0133] Welch Bound;

[0134] Perceptual reproducibility evaluation metrics (such as the sum of the Euclidean distances between two sequence samples, or the regularized path distance in Dynamic Time Warping (DTW), or other metrics that can reflect the similarity between two sequences, including but not limited to: Longest Common Subsequence (LCSS), Edit Distance on Real Sequences (EDR), Edit Distance with Real Penalty (ERP), Hausdorff Distance, Fréchet Distance, One Way Distance (OWD), Locality In-between Polylines (LIP), etc.);

[0135] The result of performing at least one operation of addition, subtraction, multiplication, or division on at least two of the above indicators.

[0136] It should be noted that the above multipath parameters are used to represent the corresponding multipath, so the multipath parameters can be understood or replaced by multipath or multipath parameters. For example, the mapping relationship between the contents of the multipath parameters can be understood as the mapping relationship between the contents of the multipath.

[0137] In the embodiment of the present application, the mapping relationship between the contents of the multipath parameters and the mapping relationship between the multipath parameters and the sub-arrays of the network-side devices can be represented by a mapping table, as shown in Table 1 below. It should be noted that in actual information transmission, multiple mapping tables can be used to jointly represent the information, each of which is a sub-table of Table 1, that is, includes a portion of the elements of the table.

[0138] Table 1:

[0139] Optionally, the number of at least one of the first vector, the second vector, and the downlink channel estimation matrix included in the target information may be greater than 1. The mapping relationship between the at least one of the first vector, the second vector, and the downlink channel estimation matrix and the subarray of the network-side device may be represented in the form of a mapping table. Taking the first vector as an example, it may be represented by Table 2.

[0140] Table 2:

[0141] Optionally, the number of at least one of the measured values ​​of the perception measurement quantity, the perception result, and the measured value of the perception performance evaluation index included in the target information may be greater than one. The mapping relationship between the measured values ​​of the perception measurement quantity, the perception result, and the measured value of the perception performance evaluation index and the subarray of the network-side device may be represented in the form of a mapping table. Taking the measured values ​​of the perception measurement quantity as an example, Table 3 may be used to represent the mapping relationship.

[0142] Table 3:

[0143] Optionally, in some embodiments, the mapping relationship between at least one item of target information and the signal configuration information may be represented by a mapping table. Taking multipath parameters as an example, it may be represented by Table 4.

[0144] Table 4:

[0145] It should be noted that, during actual information transmission, multiple mapping tables may be transmitted using the above examples (Tables 1 to 4), or an integrated mapping table may be transmitted, which includes all the above mapping relationship information.

[0146] Optionally, in some embodiments, the second information satisfies at least one of the following:

[0147] The second information is at least part of the first information;

[0148] The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

[0149] In the embodiment of the present application, at least one of the complex amplitude value of the downlink channel multipath, the complex amplitude phase of the downlink channel multipath, the multipath delay, the multipath angle (including AOA, AOD, EOA, EOD), and FBCD can be quantized based on a pre-agreed quantization rule, and the UE only needs to indicate the index corresponding to the quantized value to the BS. Table 5 uses FBCD as an example for illustration, assuming that the system bandwidth B sys The quantization granularity of FBCD can be selected as c / B sys , that is 0.375m.

[0150] Table 5:

[0151] At this time, assuming that the UE needs to indicate the parameter information of Cluster ID 6 in Table 1 of the network side device, where the measured value of FBCD is 4.888m, the actual UE only needs to indicate the quantization index value 4 corresponding to the BS FBCD (a certain degree of accuracy can be sacrificed to reduce transmission overhead). The other first information contents are similar and will not be described in detail. Among them, the complex amplitude value of the downlink channel multipath and the delay of the multipath can be quantized values ​​normalized by the maximum value, and the said complex amplitude value or delay maximum value is the maximum value of the complex amplitude value or delay value of all multipaths obtained by the current downlink channel estimation in step 401.

[0152] Optionally, in some embodiments, before the terminal performs downlink channel measurement to obtain the first information, the method further includes:

[0153] The terminal receives third information from the network side device, where the third information is used for downlink channel measurement and includes at least one of the following:

[0154] the signal configuration information;

[0155] location information of the terminal;

[0156] location information of the network-side device;

[0157] The physical antenna array information of the network-side device.

[0158] Optionally, the signal configuration information may include array configuration information for downlink channel measurement. The array configuration information for downlink channel measurement includes at least one of the following: antenna configuration information, number of subarray antenna elements, subarray element spacing, subarray antenna element index (for example, including indexes of antenna elements at specified positions such as edge, end, and center), and subarray formation information (for example, indicating whether the subarray is at least one of a linear array, a rectangular array, a circular array, and a cylindrical array).

[0159] Optionally, the above-mentioned physical antenna array information includes at least one of antenna panel orientation, array type, number of antennas (including horizontal and vertical directions), array aperture, antenna polarization characteristics, array element gain and directivity characteristics.

[0160] Optionally, the manner in which the network-side device sends the third information can be set according to actual needs. For example, in some embodiments, it can be carried in a physical broadcast channel (PBCH) or a system information block (SIB) in a broadcast or multicast manner, or it can be carried in a radio resource control (RRC) or downlink control information (DCI) in a unicast manner. Or a combination of the two, using a broadcast message to indicate a portion of public information and a unicast message to indicate another portion of user-specified information specified by the receiving device.

[0161] Optionally, in some embodiments, before the terminal performs downlink channel measurement to obtain the first information, the method further includes:

[0162] The terminal sends fourth information to the network side device, where the fourth information is used to assist in determining the signal configuration information.

[0163] In this embodiment of the present application, the fourth information may include at least one of the following:

[0164] UE location information;

[0165] UE's physical antenna array information (including antenna panel orientation, array type, number of antennas (including horizontal and vertical directions), array aperture, antenna polarization characteristics, array element gain and directivity characteristics);

[0166] UE status information (including moving speed, moving direction, time period of stationary / moving, etc.);

[0167] UE communication capability information (including UE communication coverage, maximum bandwidth available for communication services, maximum number of antenna ports available for communication services, etc.);

[0168] UE sensing capability information (including UE sensing coverage, maximum bandwidth available for sensing services, maximum duration of sensing services, supported sensing signal types and frame formats, etc.);

[0169] Resource information currently available to the UE for communication and / or perception (including time resources (number of symbols, number of time slots, number of frames, etc.), frequency resources (number of resource blocks (RBs), number of resource elements (REs), total bandwidth, available frequency band location, etc.), antenna resources (number of antennas or antenna subarrays), orthogonal code resources (length and number of orthogonal codes), etc.).

[0170] It should be noted that after receiving the second information, the network-side device may perform a target behavior, which includes at least one of the following:

[0171] Based on the second information, downlink communication transmission is performed,

[0172] Based on the second information, the perception result is sent to the perception core network device, or the perception result is further calculated and sent to the perception core network device;

[0173] Among them, the core network equipment can be a sensing function network element (Sensing Function, SF), an access and mobility management function (Access and Mobility Management Function, AMF), a perception application server in the core network, etc.

[0174] Optionally, in some embodiments, the method further comprises:

[0175] The terminal determines the first vector according to a measured value of a complex amplitude of at least one downlink channel multipath and a target multipath parameter;

[0176] The target multipath parameter is at least one multipath parameter in the first information corresponding to the complex amplitude of the downlink channel multipath.

[0177] Optionally, the terminal determining the first vector according to a measured value of a complex amplitude of at least one downlink channel multipath and a target multipath parameter includes:

[0178] The terminal calculates a steering vector according to the target multipath parameter;

[0179] The terminal performs weighted combination of the measured value of the complex amplitude of the at least one downlink channel multipath and the steering vector to obtain the first vector.

[0180] Optionally, in some embodiments, the method further comprises:

[0181] The terminal determines the second vector according to a measured value of a complex amplitude of at least one downlink channel multipath and information other than the complex amplitude of the downlink channel multipath in the first information.

[0182] Optionally, the terminal determining the second vector according to a measured value of the complex amplitude of at least one downlink channel multipath and information other than the complex amplitude of the downlink channel multipath in the first information includes:

[0183] The terminal calculates a downlink channel estimation matrix based on a measured value of a complex amplitude of at least one downlink channel multipath, information other than the complex amplitude of the downlink channel multipath in the first information, and a channel model hypothesis;

[0184] The terminal performs a target operation to obtain a second vector;

[0185] The target operation includes any of the following:

[0186] performing singular decomposition on the downlink channel estimation matrix;

[0187] Perform eigenvalue decomposition on the covariance matrix or the correlation matrix of the downlink channel estimation matrix.

[0188] In an embodiment of the present application, the above-mentioned channel model assumption includes the channel model used when determining the downlink channel estimation matrix, and the calculation rules for calculating the downlink channel estimation matrix. The channel model refers to a mathematical description of the wireless channel that is pre-summarized based on the actual measurement or theoretical analysis of the wireless channel, such as the 3GPP TR 38.901 model. The channel model assumption can be regarded as a calculation method or calculation function of a channel matrix, whose input is the channel parameter and the output is the channel matrix. In this embodiment, the measured value of the complex amplitude of at least one downlink channel multipath and the information other than the complex amplitude of the downlink channel multipath in the first information are used as the input channel parameters, and the downlink channel estimation matrix is ​​used as the output channel matrix.

[0189] In order to better understand the present application, some examples are given below for detailed description.

[0190] Optionally, in some embodiments, the solution of the present application can implement UE downlink channel or codebook feedback to assist the BS in downlink beamforming, thereby improving transmission capacity while saving feedback overhead and energy.

[0191] Taking Figure 3 as an example, for ease of explanation, assume that there are only two reflectors in the channel. Reflector 1 corresponds to far-field cluster 1 and far-field cluster 2 in the figure, and reflector 2 corresponds to near-field cluster 1 and far-field cluster 3 in the figure. It should be noted that to illustrate that the multipath caused by the reflectors may be multi-hop reflections, the reflectors are represented using two clusters (i.e., far-field cluster 1 and far-field cluster 2, and near-field cluster 1 and far-field cluster 3 in Figure 3, which are also called twin clusters). In the case of single-hop reflections, far-field cluster 1 and far-field cluster 2 overlap into one cluster, and near-field cluster 1 and far-field cluster 3 overlap into one cluster. Far-field cluster 1 and near-field cluster 1 are clusters observed from the base station, while far-field cluster 2 and far-field cluster 3 are clusters observed from the user end. Assume that the arrays used by BS and UE are both linear arrays, and assume that the BS array is divided into N tx =n subarrays, and assuming that the number of array elements in each subarray is equal, each subarray has 1 logical antenna port, and the UE has N rx Other array forms can also use the solution of this application with only slight modifications.

[0192] After step 401, the UE performs downlink channel measurement and obtains the first information. Before this step, the BS sends the third information to the UE, and the UE estimates the channel parameters based on the third information. The multipath parameter corresponding to reflector 1 is Corresponding to visible area 1, the subarray index is {1, 2, ..., n1} (n1 = 3 in Figure 3); the multipath parameter corresponding to reflector 2 is where d BS,2 is the downlink first hop multipath distance FBCD, corresponding to visible area 2, the subarray index is {n2,n2+1,...,N tx}(n2=3 in Figure 3). The complex amplitudes α1 and α2 of the downlink channel multipath can be obtained by maximum likelihood estimation, that is,

[0193] in, are the steering vectors of the multipath corresponding to reflector 1 at the BS and UE sides (module value is 1), are the steering vectors of the multipath corresponding to reflector 2 at the BS and UE sides, The channel matrix obtained by estimating the downlink channel on the UE side corresponds to the subarray index {1,2,...,n1} and the channel between the UE and the subarray index {n2,n2+1,...,N tx} and the UE channel. When the UE estimates the parameters, it uses the sub-array channel matrix as the data granularity and estimates the multiple sets of channel multipath parameters. At least one parameter in the can determine the sub-array index {1,2,...,n1}, {n2,n2+1,...,N tx}.

[0194] Optionally, the BS sends third information to the UE to assist the UE in performing channel parameter estimation based on the downlink channel measurement result.

[0195] Optionally, before step 401, the UE reports fourth information to the BS to assist the BS in determining signal configuration information for downlink channel measurement.

[0196] After step 402, the UE feeds back the second information (i.e., at least one item of the first information) to the BS. There are five implementation methods as follows:

[0197] Method 1: UE directly feeds back downlink channel multipath parameter information, including Or the quantized value index of the above parameters. For the complex amplitude of the multipath, the quantized value index after normalization of the maximum amplitude value and the phase quantized value index can be fed back. In addition, the UE also feeds back to the BS the mapping relationship between the multipath parameter information and the visible area (i.e., the association relationship between the subarray set).

[0198] Method 2: UE feeds back the complex amplitudes α1, α2 of the downlink channel multipath and At least one item, and their mapping relationship with the visible area (ie, the association relationship between the sub-array set), where the coefficients β1 and β2 are calculated by the UE according to α1, α2, Calculated through linear transformation.

[0199] Method 3: UE feeds back the covariance matrix or eigenvector of the correlation matrix of the downlink channel estimation matrix At least one item, and their mapping relationship with the visual area (that is, the association relationship of the sub-array set).

[0200] Method 4: UE feedback At least one item of the channel matrix, or at least one item of their covariance matrix or correlation matrix, and their mapping relationship with the visible area (ie, the association relationship of the sub-array set).

[0201] Mode 5: A combination of any two of the above modes 1 to 4. For example, the UE feeds back the complex amplitude α2 of the downlink channel multipath and At least one item, and their mapping relationship with the visible area (ie, the association relationship between the sub-array set), where the coefficients β1 and β2 are calculated by the UE according to α1, α2, It is calculated by linear transformation (corresponding to method 2); at the same time, the UE feeds back the covariance matrix of the downlink channel estimation matrix or the eigenvector of the correlation matrix and their mapping relationship with the visual area (ie, the association relationship of the sub-array set) (corresponding to method 3).

[0202] Optionally, after receiving the second information, the BS may implement at least one of downlink communication transmission and forwarding of the perception result.

[0203] It should be noted that the above embodiment assumes only two primary reflectors in the channel. In practice, there may be a different number of reflectors, and the reflectors may also correspond to multiple objects in the environment. For different numbers of reflectors, the channel feedback information should be increased or decreased accordingly. It should be understood that this solution and process are applicable to different numbers of reflectors and different MIMO array configurations.

[0204] Optionally, in some embodiments, the solution based on the present application can achieve perception or synaesthesia integration. The embodiments of the present application are illustrated by three different scenarios, taking Figure 3 as an example.

[0205] Scenario 1: Assume that the sensing target (such as a vehicle, pedestrian, etc.) corresponds to the near-field cluster 1 in the figure, that is, it falls within the near-field area of ​​the BS. If the sensing target needs to be located, the downlink channel measurement in step 401 can be performed, and the UE side obtains where d BS,2 is the first hop multipath distance FBCD. If the UE is the initiator of the perception request, the UE combines The BS location information and BS antenna panel orientation information in the third information received before step 401 are used to calculate the sensing target location. If the BS or core network device is the initiator of the sensing request, then in step 402, the UE feeds back the second information to the BS, and the BS obtains the sensing target location or performs subsequent forwarding.

[0206] Scenario 2: Assume that the sensing target (such as a vehicle, pedestrian, etc.) corresponds to the far-field cluster 1 in the figure, that is, it falls within the far-field area of ​​the BS. In this case, the BS side can be obtained through step 401. And the UE side If it is a single-hop reflection path, based on The position of the target can be determined; if it is a multi-hop reflection path, combined with As well as the far-field decision condition first-hop / last-hop multipath distance search, it is also possible to determine the perceived target location;

[0207] Scenario 3: Assume that the sensing target (e.g., vehicle, pedestrian, etc.) corresponds to near-field cluster 1 in the figure, that is, it falls within the near-field area of ​​the BS. Also, assume that within a certain period of time, the channel can maintain reciprocity between the uplink and downlink parts. The BS and the UE can repeat step 401 multiple times to obtain multiple sets of temporally continuous first information (e.g., multiple sets of complex amplitudes of the downlink channel multipath α2(t1), α2(t2), ..., α2(t m ),as well as ), the Doppler frequency of the multipath is further obtained according to the complex amplitude phase change, and combined with the above-mentioned multipath angle information, the UE obtains the true speed and direction of the perceived target, as well as its motion trajectory; if the BS or the core network device is the perception requester, through step 402, the UE reports the calculated true speed and direction of the perceived target, as well as its motion trajectory as the second information content to the BS.

[0208] Optionally, in some embodiments, the false target angle can also be automatically identified, and the parameter information corresponding to the false target angle can be eliminated in the second information, that is, the information associated with the false target angle in the second information or the first information. For example, in a scenario where far-field channels and near-field channels exist at the same time, some clusters correspond to reflectors in the far-field area of ​​the BS, and other clusters correspond to reflectors in the near-field area of ​​the BS. When the BS or UE provides feedback based on the channel estimation results, false target angles will occur. As shown in Figure 5, assuming that there are far-field cluster 1 and far-field cluster 3 on the BS side, when the UE performs parameter estimation (during uplink measurement, the BS performs channel parameter estimation, similarly), three angle estimation values ​​will be obtained: in It is a false target angle that does not correspond to a real reflector (as shown in the near field cluster 2 in Figure 5). Its value is between the real angle The mathematical principle of false target generation can be referred to the relevant technology and will not be described here. In response to this problem, based on the channel information feedback method for spatial non-stationary channels proposed in the embodiment of the present application, an optional solution is further provided.

[0209] Method 1: After step 401, the UE independently identifies the false target angle and removes the parameter information corresponding to the false target angle. In step 402, the UE feeds back to the BS second information that does not include the parameter information corresponding to the false target angle. Optionally, the UE may send a first indication message to the BS, informing the BS that the second information fed back does not include the parameter information corresponding to the false target angle, or informing the BS that the UE has already identified the false target angle and removed the parameter information corresponding to the false target angle before feeding back the second information.

[0210] Method 2: After step 401, the UE does not identify the false target angle or eliminate the parameter information corresponding to the false target angle, and directly feeds back the second information, which may include the parameter information corresponding to the false target angle; the BS independently identifies the false target angle based on the received second information and eliminates the parameter information corresponding to the false target angle. Optionally, the UE may send a second indication message to the BS, which is used to inform the BS that the second information fed back may include the parameter information corresponding to the false target angle, or to inform the BS that the UE did not identify the false target angle or eliminate the parameter information corresponding to the false target angle before feeding back the second information;

[0211] Method 3: After steps 401 and 402, and before executing the target action, the BS and UE perform target measurement. The target measurement includes downlink beam scanning and beam measurement. Specifically, the BS determines the scanning beam based on the second information and sends signal configuration information related to the target measurement to the UE.

[0212] The UE performs beam measurement based on the signal configuration information related to the target measurement, wherein the beam measurement amount obtained based on the beam measurement includes: at least one of received reference signal received power (RSRP), reference signal received quality (RSRQ), received signal strength indicator (RSSI), signal to interference plus noise ratio (SINR), signal to noise ratio (SNR), and channel quality indication (CQI).

[0213] The UE feeds back the measured value of the beam measurement quantity corresponding to at least one BS scanning beam to the BS. The BS, based on the measured value of the beam measurement quantity or the beam measurement result, identifies possible false targets in the second information and removes the false target information. Finally, the BS and UE execute the target behavior to complete at least one of downlink communication and perception.

[0214] Method 3 is applicable to the case where the second information includes the first vector, or the second vector, or the downlink channel estimation matrix. Furthermore, method 3 is applicable to the case where a real reflector happens to exist at the theoretical false target position.

[0215] 6 , an embodiment of the present application further provides a channel feedback method. As shown in FIG6 , the channel feedback method includes:

[0216] Step 601: A network-side device receives second information from a terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used by the network-side device for at least one of communication and perception.

[0217] Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

[0218] Optionally, the method further includes:

[0219] The network-side device receives channel feedback indication information from the terminal, where the channel feedback indication information is used to indicate a type of content included in the second information.

[0220] Optionally, the multipath parameter includes at least one of the complex amplitude of the downlink channel multipath, the multipath delay, the multipath angle, the far-field and near-field information, the first-hop multipath distance, and the last-hop multipath distance;

[0221] The far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, where the first set is a subarray set of all subarrays of the network-side device, where the signal propagation path between the network-side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and a preset reference point of the network-side device; and the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and a preset reference point of the terminal.

[0222] Optionally, the mapping relationship between the multipath parameter and the subarray of the network-side device includes any one of the following:

[0223] a mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device;

[0224] A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of the subarray of the network-side device;

[0225] A mapping relationship between the multipath parameters and a target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device;

[0226] The mapping relationship between the multipath parameters, target formation and antenna configuration information.

[0227] Optionally, the second information satisfies at least one of the following:

[0228] The second information is at least part of the first information;

[0229] The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

[0230] Optionally, before the terminal performs downlink channel measurement to obtain the first information, the method further includes:

[0231] The network-side device sends third information to the terminal, where the third information is used for downlink channel measurement and includes at least one of the following:

[0232] the signal configuration information;

[0233] location information of the terminal;

[0234] location information of the network-side device;

[0235] The physical antenna array information of the network-side device.

[0236] Optionally, before the terminal performs downlink channel measurement to obtain the first information, the method further includes:

[0237] The network side device receives fourth information from the terminal, where the fourth information is used to assist the network side device in determining the signal configuration information.

[0238] The channel feedback method provided in the embodiment of the present application can be executed by a channel feedback device. In the embodiment of the present application, the channel feedback device provided in the embodiment of the present application is described by taking the channel feedback method executed by the channel feedback device as an example.

[0239] 7 , an embodiment of the present application further provides a channel feedback device. As shown in FIG7 , the channel feedback device 700 includes:

[0240] A first receiving module 701 is configured to perform downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of subarray or signal configuration information of a network-side device;

[0241] A first sending module 702 is configured to send second information to a network-side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception;

[0242] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0243] Optionally, the first sending module 702 is further used to: send channel feedback indication information to the network side device, where the channel feedback indication information is used to indicate the type of content included in the second information.

[0244] Optionally, the multipath parameter includes at least one of the complex amplitude of the downlink channel multipath, the multipath delay, the multipath angle, the far-field and near-field information, the first-hop multipath distance, and the last-hop multipath distance;

[0245] The far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, where the first set is a subarray set of all subarrays of the network-side device, where the signal propagation path between the network-side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and a preset reference point of the network-side device; and the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and a preset reference point of the terminal.

[0246] Optionally, the mapping relationship between the multipath parameter and the subarray of the network-side device includes any one of the following:

[0247] a mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device;

[0248] A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of the subarray of the network-side device;

[0249] A mapping relationship between the multipath parameters and a target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device;

[0250] The mapping relationship between the multipath parameters, target formation and antenna configuration information.

[0251] Optionally, the second information satisfies at least one of the following:

[0252] The second information is at least part of the first information;

[0253] The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

[0254] Optionally, the first receiving module 701 is further configured to: receive third information from a network-side device, where the third information is used for downlink channel measurement, and the third information includes at least one of the following:

[0255] the signal configuration information;

[0256] location information of the terminal;

[0257] location information of the network-side device;

[0258] The physical antenna array information of the network-side device.

[0259] Optionally, the first sending module 702 is further used to: send fourth information to the network side device, where the fourth information is used to assist in determining the signal configuration information.

[0260] Optionally, the channel feedback device 700 further includes:

[0261] a determination module, configured to determine the first vector according to a measured value of a complex amplitude of at least one downlink channel multipath and a target multipath parameter;

[0262] The target multipath parameter is at least one multipath parameter in the first information corresponding to the complex amplitude of the downlink channel multipath.

[0263] Optionally, the determination module is specifically configured to: calculate a steering vector according to the target multipath parameter; and perform weighted combination of a measured value of the complex amplitude of the at least one downlink channel multipath and the steering vector to obtain the first vector.

[0264] Optionally, the channel feedback device 700 further includes:

[0265] The determination module is configured to determine the second vector according to a measured value of the complex amplitude of at least one downlink channel multipath and information other than the complex amplitude of the downlink channel multipath in the first information.

[0266] Optionally, the determining module is specifically configured to: calculate a downlink channel estimation matrix based on a measured value of the complex amplitude of at least one downlink channel multipath, information other than the complex amplitude of the downlink channel multipath in the first information, and a channel model hypothesis; and perform a target operation to obtain a second vector;

[0267] The target operation includes any of the following:

[0268] performing singular decomposition on the downlink channel estimation matrix;

[0269] Perform eigenvalue decomposition on the covariance matrix or the correlation matrix of the downlink channel estimation matrix.

[0270] In an embodiment of the present application, the above-mentioned channel model assumption includes the channel model used when determining the downlink channel estimation matrix, and the calculation rules for calculating the downlink channel estimation matrix. The channel model refers to a mathematical description of the wireless channel that is pre-summarized based on the actual measurement or theoretical analysis of the wireless channel, such as the 3GPP TR 38.901 model. The channel model assumption can be regarded as a calculation method or calculation function of a channel matrix, whose input is the channel parameter and the output is the channel matrix. In this embodiment, the measured value of the complex amplitude of at least one downlink channel multipath and the information other than the complex amplitude of the downlink channel multipath in the first information are used as the input channel parameters, and the downlink channel estimation matrix is ​​used as the output channel matrix.

[0271] 8 , an embodiment of the present application further provides a channel feedback device. As shown in FIG8 , the channel feedback device 800 includes:

[0272] A second receiving module 801 is configured to receive second information from a terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used by the network-side device for at least one of communication and perception;

[0273] Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

[0274] Optionally, the second receiving module 801 is further configured to: receive channel feedback indication information from the terminal, where the channel feedback indication information is used to indicate a type of content included in the second information.

[0275] Optionally, the multipath parameter includes at least one of the complex amplitude of the downlink channel multipath, the multipath delay, the multipath angle, the far-field and near-field information, the first-hop multipath distance, and the last-hop multipath distance;

[0276] The far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, where the first set is a subarray set of all subarrays of the network-side device, where the signal propagation path between the network-side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and a preset reference point of the network-side device; and the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and a preset reference point of the terminal.

[0277] Optionally, the mapping relationship between the multipath parameter and the subarray of the network-side device includes any one of the following:

[0278] a mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device;

[0279] A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of the subarray of the network-side device;

[0280] A mapping relationship between the multipath parameters and a target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device;

[0281] The mapping relationship between the multipath parameters, target formation and antenna configuration information.

[0282] Optionally, the second information satisfies at least one of the following:

[0283] The second information is at least part of the first information;

[0284] The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

[0285] Optionally, the channel feedback device further includes:

[0286] The second sending module is configured to send third information to the terminal, where the third information is used for downlink channel measurement and includes at least one of the following:

[0287] the signal configuration information;

[0288] location information of the terminal;

[0289] location information of the network-side device;

[0290] The physical antenna array information of the network-side device.

[0291] Optionally, the second receiving module 801 is further used to: receive fourth information from the terminal, where the fourth information is used to assist the network-side device in determining the signal configuration information.

[0292] The channel feedback device in the embodiments of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or chip. The electronic device can be a terminal or other device other than a terminal. For example, the terminal can include but is not limited to the types of terminal 11 listed above, and other devices can include servers, network attached storage (NAS), etc., which are not specifically limited in the embodiments of the present application.

[0293] The channel feedback device provided in the embodiment of the present application can implement the various processes implemented in the method embodiments of Figures 4 to 6 and achieve the same technical effects. To avoid repetition, they will not be described here.

[0294] As shown in Figure 9, an embodiment of the present application also provides a communication device 900, including a processor 901 and a memory 902, where the memory 902 stores a program or instruction that can be run on the processor 901. When the program or instruction is executed by the processor 901, the various steps of the above-mentioned channel feedback method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0295] The present application also provides a terminal including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the steps of the method embodiment shown in FIG4 . This terminal embodiment corresponds to the aforementioned terminal-side method embodiment, and each implementation process and implementation method of the aforementioned method embodiment is applicable to this terminal embodiment and can achieve the same technical effects. Specifically, FIG10 is a schematic diagram of the hardware structure of a terminal implementing an embodiment of the present application.

[0296] The terminal 1000 includes but is not limited to: a radio frequency unit 1001, a network module 1002, an audio output unit 1003, an input unit 1004, a sensor 1005, a display unit 1006, a user input unit 1007, an interface unit 1008, a memory 1009 and at least some of the components of the processor 1010.

[0297] Those skilled in the art will appreciate that the terminal 1000 may also include a power supply (such as a battery) to power various components. The power supply may be logically connected to the processor 1010 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The terminal structure shown in FIG10 does not limit the terminal. The terminal may include more or fewer components than shown, or may combine certain components, or have different component arrangements, which will not be described in detail here.

[0298] It should be understood that in an embodiment of the present application, the input unit 1004 may include a graphics processing unit (GPU) 10041 and a microphone 10042, and the graphics processor 10041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 1006 may include a display panel 10061, and the display panel 10061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 1007 includes a touch panel 10071 and at least one of other input devices 10072. The touch panel 10071 is also called a touch screen. The touch panel 10071 may include two parts: a touch detection device and a touch controller. Other input devices 10072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and an operating stick, which will not be repeated here.

[0299] In the embodiment of the present application, after receiving downlink data from a network-side device, the RF unit 1001 may transmit the data to the processor 1010 for processing. Furthermore, the RF unit 1001 may send uplink data to the network-side device. Typically, the RF unit 1001 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like.

[0300] The memory 1009 can be used to store software programs or instructions and various data. The memory 1009 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 1009 may include a volatile memory or a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM), and a direct memory bus random access memory (DRRAM). The memory 1009 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0301] Processor 1010 may include one or more processing units. Optionally, processor 1010 integrates an application processor and a modem processor. The application processor primarily handles operations related to the operating system, user interface, and application programs, while the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 1010.

[0302] The radio frequency unit 1001 is configured to perform downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of a subarray or signal configuration information of a network-side device; and send second information to the network-side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception.

[0303] The signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of the perception measurement quantity, and at least one of the measurement values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation method of the first vector and the second vector is different.

[0304] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the terminal side method embodiment and achieve the same or corresponding technical effects. To avoid repetition, it will not be repeated here.

[0305] The present application also provides a network-side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the steps of the method embodiment shown in FIG6 . This network-side device embodiment corresponds to the aforementioned network-side device method embodiment, and each implementation process and implementation method of the aforementioned method embodiment are applicable to this network-side device embodiment and can achieve the same technical effects.

[0306] Specifically, embodiments of the present application also provide a network-side device. As shown in Figure 11, the network-side device 1100 includes an antenna 1101, a radio frequency device 1102, a baseband device 1103, a processor 1104, and a memory 1105. Antenna 1101 is connected to radio frequency device 1102. In the uplink direction, radio frequency device 1102 receives information via antenna 1101 and sends the received information to baseband device 1103 for processing. In the downlink direction, baseband device 1103 processes the information to be transmitted and sends it to radio frequency device 1102. Radio frequency device 1102 processes the received information and then sends it through antenna 1101.

[0307] The method executed by the network-side device in the above embodiment may be implemented in the baseband device 1103 , which includes a baseband processor.

[0308] The baseband device 1103 may, for example, include at least one baseband board, on which multiple chips are arranged, as shown in Figure 11, one of the chips is, for example, a baseband processor, which is connected to the memory 1105 through a bus interface to call the program in the memory 1105 and execute the network device operations shown in the above method embodiment.

[0309] The network side device may further include a network interface 1106 , which is, for example, a Common Public Radio Interface (CPRI).

[0310] Specifically, the network side device 1100 of the embodiment of the present application also includes: instructions or programs stored in the memory 1105 and executable on the processor 1104. The processor 1104 calls the instructions or programs in the memory 1105 to execute the method of executing each module shown in FIG7 and achieve the same technical effect. To avoid repetition, it will not be described here.

[0311] An embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned channel feedback method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, they are not described here.

[0312] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. In some examples, the readable storage medium may be a non-transitory readable storage medium.

[0313] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned channel feedback method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0314] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0315] An embodiment of the present application further provides a computer program / program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-mentioned channel feedback method embodiment and can achieve the same technical effects. To avoid repetition, they are not described here.

[0316] An embodiment of the present application also provides a wireless communication system, including: a terminal and a network side device, wherein the terminal can be used to execute the steps of the terminal side channel feedback method as described above, and the network side device can be used to execute the steps of the network side device channel feedback method as described above.

[0317] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0318] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general-purpose hardware platform, or of course, by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes a number of instructions for enabling a terminal or network-side device to execute the methods described in each embodiment of the present application.

[0319] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of this application and the scope of protection of the claims. These implementation methods are all within the protection of this application.

Claims

1. A channel feedback method, comprising: The terminal performs downlink channel measurement to obtain first information, where the first information includes target information and a mapping relationship between the target information and at least one of a subarray or signal configuration information of a network side device; The terminal sends second information to the network side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception; Among them, the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measured value of the perception measurement quantity and at least one of the measured values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

2. The method according to claim 1, further comprising: The terminal sends channel feedback indication information to the network side device, where the channel feedback indication information is used to indicate the type of content included in the second information.

3. The method according to claim 1 or 2, wherein: The multipath parameters include at least one of the complex amplitude of the multipath of the downlink channel, the time delay of the multipath, the angle of the multipath, the near-field and far-field information, the first-hop multipath distance and the last-hop multipath distance; Among them, the far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, and the first set is a subarray set of all subarrays of the network side device, in which the signal propagation path between the network side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and the preset reference point of the network side device; the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and the preset reference point of the terminal.

4. The method according to any one of claims 1 to 3, wherein: The mapping relationship between the multipath parameter and the subarray of the network side device includes any one of the following: A mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device; A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of a subarray of the network side device; A mapping relationship between the multipath parameters and the target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device; The mapping relationship between the multipath parameters and the target formation and antenna configuration information.

5. The method according to any one of claims 1 to 4, wherein: The second information satisfies at least one of the following: The second information is at least part of the first information; The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

6. The method according to any one of claims 1 to 5, wherein: Before the terminal performs downlink channel measurement to obtain the first information, the method further includes: The terminal receives third information from the network side device, where the third information is used for downlink channel measurement, and the third information includes at least one of the following: The signal configuration information; location information of the terminal; Location information of the network side device; The physical antenna array information of the network side device.

7. The method according to any one of claims 1 to 6, wherein: Before the terminal performs downlink channel measurement to obtain the first information, the method further includes: The terminal sends fourth information to the network side device, where the fourth information is used to assist in determining the signal configuration information.

8. The method according to any one of claims 1 to 7, further comprising: The terminal determines the first vector according to a measured value of a complex amplitude of at least one downlink channel multipath and a target multipath parameter; The target multipath parameter is at least one multipath parameter in the first information corresponding to the complex amplitude of the multipath of the downlink channel.

9. The method according to claim 8, wherein: The terminal determines the first vector according to the measured value of the complex amplitude of at least one downlink channel multipath and the target multipath parameter, including: The terminal calculates a steering vector according to the target multipath parameter; The terminal performs weighted combination of the measured value of the complex amplitude of the at least one downlink channel multipath and the steering vector to obtain the first vector.

10. The method according to any one of claims 1 to 9, further comprising: The terminal determines the second vector according to a measured value of a complex amplitude of at least one downlink channel multipath and information other than the complex amplitude of the downlink channel multipath in the first information.

11. The method according to claim 10, wherein: The terminal determines the second vector according to the measured value of the complex amplitude of at least one downlink channel multipath and the information other than the complex amplitude of the downlink channel multipath in the first information, including: The terminal calculates a downlink channel estimation matrix according to a measured value of a complex amplitude of at least one downlink channel multipath, information other than the complex amplitude of the downlink channel multipath in the first information, and a channel model hypothesis; The terminal performs a target operation to obtain a second vector; The target operation includes any of the following: Performing singular decomposition on the downlink channel estimation matrix; Perform eigenvalue decomposition on a covariance matrix or a correlation matrix of the downlink channel estimation matrix.

12. A channel feedback method, comprising: The network side device receives second information from the terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used for at least one of communication and perception by the network side device; The first information includes target information and a mapping relationship between the target information and at least one of the subarray or signal configuration information of the network side device, the signal configuration information is used for the downlink channel measurement; the target information The information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measurement value of a perception measurement quantity, and at least one of a perception result and a measurement value of a perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

13. The method according to claim 12, further comprising: The network side device receives channel feedback indication information from the terminal, where the channel feedback indication information is used to indicate a type of content included in the second information.

14. The method according to claim 12 or 13, wherein: The multipath parameters include at least one of the complex amplitude of the multipath of the downlink channel, the time delay of the multipath, the angle of the multipath, the near-field and far-field information, the first-hop multipath distance and the last-hop multipath distance; Among them, the far-field and near-field information is used to indicate the far-field and near-field relationship between the multipath and the first set, and the first set is a subarray set of all subarrays of the network side device, in which the signal propagation path between the network side device and the terminal includes the multipath; the first-hop multipath distance is the distance between the first-hop reflection point or scattering point of the multipath and the preset reference point of the network side device; the last-hop multipath distance is the distance between the last-hop reflection point or scattering point of the multipath and the preset reference point of the terminal.

15. The method according to any one of claims 12 to 14, wherein: The mapping relationship between the multipath parameter and the subarray of the network side device includes any one of the following: A mapping relationship between the multipath parameter and a first index, where the first index is an index of a subarray of the network-side device; A mapping relationship between the multipath parameter and first configuration information, where the first configuration information is antenna configuration information of a subarray of the network side device; A mapping relationship between the multipath parameters and the target array and antenna ports, wherein the target array is a physical antenna array array corresponding to a subarray of a network-side device; The mapping relationship between the multipath parameters and the target formation and antenna configuration information.

16. The method according to any one of claims 12 to 15, wherein: The second information satisfies at least one of the following: The second information is at least part of the first information; The second information is an index corresponding to a value obtained by quantizing at least part of the first information.

17. The method according to any one of claims 12 to 16, wherein: Before the terminal performs downlink channel measurement to obtain the first information, the method further includes: The network side device sends third information to the terminal, where the third information is used for downlink channel measurement, and the third information includes at least one of the following: The signal configuration information; location information of the terminal; Location information of the network side device; The physical antenna array information of the network side device.

18. The method according to any one of claims 12 to 17, wherein: Before the terminal performs downlink channel measurement to obtain the first information, the method further includes: The network side device receives fourth information from the terminal, where the fourth information is used to assist in determining the signal configuration information.

19. A channel feedback device, comprising: A first receiving module, configured to perform downlink channel measurement to obtain first information, wherein the first information includes target information and a mapping relationship between the target information and at least one of a subarray or signal configuration information of a network side device; A first sending module, configured to send second information to a network side device, where the second information is determined based on at least part of the first information, and the second information is used for at least one of communication and perception; Among them, the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measured value of the perception measurement quantity and at least one of the measured values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

20. A channel feedback device, comprising: A second receiving module, configured to receive second information from the terminal, where the second information is determined based on at least part of the first information obtained by downlink channel measurement, and the second information is used for at least one of communication and perception by the network side device; Among them, the first information includes target information and a mapping relationship between the target information and at least one of the subarrays or signal configuration information of the network side device, and the signal configuration information is used for the downlink channel measurement; the target information includes multipath parameters, a mapping relationship between the contents of the multipath parameters, a first vector, a second vector, a downlink channel estimation matrix, a covariance matrix of the downlink channel estimation matrix, a correlation matrix of the downlink channel estimation matrix, a measured value of the perception measurement quantity, and at least one of the measured values ​​of the perception result and the perception performance evaluation index; the first vector and the second vector are both used for downlink communication, and the calculation methods of the first vector and the second vector are different.

21. A terminal, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the channel feedback method according to any one of claims 1 to 11 are implemented.

22. A network side device, comprising a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the channel feedback method according to any one of claims 12 to 18 are implemented.

23. A readable storage medium storing a program or an instruction, wherein the program or the instruction, when executed by a processor, implements the steps of the channel feedback method according to any one of claims 1 to 18.

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