Access network equipment, terminal equipment and wireless communication method

Abstract

Disclosed are an access network device, a terminal device and a wireless communication method, the wireless communication method comprising: receiving first information, the first information representing a first analog-to-digital conversion precision of the communication terminal device; based on the first information, generating a first weight and / or a second weight, the first weight being used for beamforming of a communication signal, and the second weight being used for beamforming of a sensing signal; and transmitting a communication signal generated based on the first weight, and / or transmitting a sensing signal generated based on the second weight. According to the scheme of the invention, the sensing performance is maximized while the communication performance is ensured.

Description

Technical Field

[0001] The present application relates to the field of mobile communication technology, and is related to but not limited to access network equipment, terminal equipment and wireless communication methods. Background Art

[0002] The sixth generation (6G) mobile communication system is aimed at new application scenarios such as intelligent transportation, intelligent industry and precision medicine, which not only require high-quality wireless connections, but also place higher demands on perception capabilities. Integrated Sensing and Communication (ISAC) technology integrates communication and perception into one system, allowing the two functions to share spectrum and hardware facilities, thereby improving spectrum efficiency and reducing system costs. Summary of the invention

[0003] The present application provides an access network device, a terminal device and a wireless communication method. For the solution of the present application, the communication performance is ensured while maximizing the perceived performance.

[0004] The technical solution of this application is implemented as follows:

[0005] The present application provides an access network device comprising: a transceiver; and a processor coupled to the transceiver, wherein the processor is configured to:

[0006] Receiving first information via the transceiver, the first information representing a first analog-to-digital conversion accuracy of a communication terminal device;

[0007] Based on the first information, generate a first weight and / or a second weight, the first weight being used for beamforming of a communication signal, and the second weight being used for beamforming of a perception signal;

[0008] A communication signal generated based on the first weight is transmitted via the transceiver, and / or a perception signal generated based on the second weight is transmitted.

[0009] In some embodiments, the processor is configured to:

[0010] Generate the first weight and / or the second weight based on a first analog-to-digital conversion accuracy of the communication terminal device included in the first information; or

[0011] The first analog-to-digital conversion accuracy is determined based on a first device type of the communication terminal device included in the first information, and the first weight and / or the second weight is generated based on the first analog-to-digital conversion accuracy.

[0012] In some embodiments, the processor is configured to:

[0013] Determining a second analog-to-digital conversion accuracy of the access network device;

[0014] The first weight and / or the second weight are generated based on the first information and the second analog-to-digital conversion accuracy.

[0015] In some embodiments, the processor is configured to:

[0016] Receiving, via the transceiver, second information of a perception terminal device, wherein the second information represents an analog-to-digital conversion accuracy of the perception terminal device;

[0017] The first weight and / or the second weight are generated based on the first information and the second information.

[0018] In some embodiments, the processor is configured to:

[0019] Generate the first weight and / or the second weight based on the third analog-to-digital conversion accuracy of the perception terminal device included in the first information and the second information; or

[0020] The third analog-to-digital conversion accuracy is determined based on the second device type of the perception terminal device included in the second information, and the first weight and / or the second weight is generated based on the first information and the third analog-to-digital conversion accuracy.

[0021] In some embodiments, the processor is configured to:

[0022] Receiving channel state information of the communication terminal device via the transceiver;

[0023] The first weight and / or the second weight are generated based on the channel state information and the first information.

[0024] In some embodiments, the processor is configured to:

[0025] A first request is sent via the transceiver, the first request being used to request the first information.

[0026] In some embodiments, the first request includes one of the following messages:

[0027] Channel state information reference signal CSI-RS resource set configuration signaling;

[0028] CSI reporting configuration signaling.

[0029] In some embodiments, the processor is configured to:

[0030] receiving, via the transceiver, a sensing request;

[0031] In response to the sensing request, the first request is sent via the transceiver.

[0032] In some embodiments, the processor is configured to:

[0033] Determining a sensing area or a sensing range included in the sensing request;

[0034] Determine a sensing channel matrix based on the sensing area or sensing range;

[0035] The first weight and / or the second weight are generated based on the first information and the perceptual channel matrix.

[0036] In some embodiments, the processor is configured to:

[0037] Receiving location information of a sensing terminal device via the transceiver;

[0038] The sensing channel matrix is ​​generated based on the location information of the sensing terminal device and the sensing area or sensing range.

[0039] In some embodiments, the processor is configured to:

[0040] The third information is sent to the perception terminal device via the transceiver, where the third information is used to indicate a target subframe, and the target subframe is a subframe multiplexed for communication symbols and perception symbols.

[0041] In some embodiments, the processor is configured to:

[0042] Receiving an echo perception signal via the transceiver, and determining a perception measurement result based on the echo perception signal, wherein the echo perception signal is an echo signal reflected by a perception target based on the perception signal; or

[0043] The sensing measurement result sent by the sensing terminal device is received via the transceiver.

[0044] In some embodiments, the processor is configured to:

[0045] The sensing measurement result is sent to the SF device via the transceiver.

[0046] The present application provides a terminal device, the terminal device comprising: a transceiver; and a processor coupled to the transceiver, wherein the processor is configured to:

[0047] Sending first information to the access network device via the transceiver, where the first information represents a first analog-to-digital conversion accuracy of the communication terminal device;

[0048] The first information is used to generate a first weight and / or a second weight, the first weight is used for beamforming of a communication signal, the second weight is used for beamforming of a perception signal, and the terminal device is a communication terminal device.

[0049] In some embodiments, the first information includes a first analog-to-digital conversion accuracy of the communication terminal device; or,

[0050] The first information includes a first device type of the communication terminal device, where the first device type is associated with a first analog-to-digital conversion accuracy of the communication terminal device.

[0051] In some embodiments, the processor is configured to:

[0052] Channel state information of the communication terminal device is sent via the transceiver, and the channel state information is used to generate the first weight and / or the second weight with the first information.

[0053] In some embodiments, the processor is configured to:

[0054] receiving, via the transceiver, a first request;

[0055] In response to the first request, the first information is sent via the transceiver.

[0056] In some embodiments, the processor is configured to:

[0057] receiving, via the transceiver, third information for indicating a target subframe, the target subframe being a subframe multiplexed for communication symbols and perception symbols;

[0058] Signal processing is performed based on the third information.

[0059] The present application also provides a wireless communication method, including:

[0060] Receiving first information, where the first information represents a first analog-to-digital conversion accuracy of a communication terminal device;

[0061] Based on the first information, generate a first weight and / or a second weight, the first weight being used for beamforming of a communication signal, and the second weight being used for beamforming of a perception signal;

[0062] A communication signal generated based on the first weight is transmitted, and / or a perception signal generated based on the second weight is transmitted.

[0063] The present application also provides a wireless communication method, applied to a terminal device, comprising:

[0064] Sending first information to the access network device, where the first information represents a first analog-to-digital conversion accuracy of the communication terminal device;

[0065] The first information is used to generate a first weight and / or a second weight, the first weight is used for beamforming of a communication signal, the second weight is used for beamforming of a perception signal, and the terminal device is the communication terminal device.

[0066] The present application also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned wireless communication method is implemented.

[0067] It can be seen that the communication terminal device reports first information characterizing the analog-to-digital conversion accuracy of the communication terminal device to the access network device, and the access network device generates a first weight for beamforming of the communication signal and / or a second weight for beamforming of the perception signal based on the first information, thereby associating the beamforming of the communication signal and / or the beamforming of the perception signal with the analog-to-digital conversion accuracy of the communication terminal device, and designs weights for the communication signal and / or the perception signal, i.e., the beamforming coefficient, under the corresponding analog-to-digital conversion accuracy conditions, to ensure communication performance while maximizing perception performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 An optional structural diagram of a wireless communication system provided in an embodiment of the present application;

[0069] Figure 2 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0070] Figure 3 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0071] Figure 4 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0072] Figure 5 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0073] Figure 6 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0074] Figure 7 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0075] Figure 8 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0076] Fig. 9 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0077] Fig.10 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0078] Fig.11 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0079] Fig.12 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0080] Fig.13 A schematic diagram of the parameters required for beamforming provided in an embodiment of the present application;

[0081] Fig.14 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0082] Fig.15 A schematic diagram of an optional flow chart of a wireless communication method provided in an embodiment of the present application;

[0083] Fig.16 An optional structural diagram of the device provided in the embodiment of the present application. DETAILED DESCRIPTION

[0084] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the specific technical solution of the application will be further described in detail below in conjunction with the drawings in the embodiments of the present application. The following embodiments are used to illustrate the present application, but are not used to limit the scope of the present application.

[0085] In the following description, reference is made to “some embodiments”, which describe a subset of all possible embodiments, but it will be understood that “some embodiments” may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict.

[0086] In the following description, the terms "first\second\third" are used only as examples to distinguish different objects, and do not represent a specific order for the objects, nor do they have a limitation on the order of precedence. It is understandable that "first\second\third" can be interchanged with a specific order or order of precedence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0087] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing the embodiments of this application and are not intended to limit this application.

[0088] The wireless communication system may be a downlink ISAC system supporting a single-station sensing mode and a dual-station sensing mode. For the single-station sensing mode, the RAN device sends dual-function (communication and sensing) signals to K single-antenna UEs and 1 sensing target respectively, and receives an echo signal (echo signal) from the sensing target based on the reflection of the sensing signal, where K is greater than or equal to 1. For the dual-station sensing mode, the RAN device acts as a transmitter of dual-function signals (communication signals and sensing signals), and the reception and processing of the echo sensing signal are completed by a sensing UE. The echo signal of the sensing target based on the reflection of the sensing signal can also be called an echoed sensing signal.

[0089] Wireless communication systems can be Figure 1 As shown, the RAN device 101 and UE 102 (eg, UE 102-1, UE 102-2, UE 102-3) are included. The RAN device may be equipped with N T transmit antennas and N R The RAN node 101 may be referred to as an access network device, a RAN node, an access point, an access terminal, a base station, a base station unit, a macro cell, a Node B, an evolved Node B (eNB), a gNB, an ng-eNB, or other terms used in the art. A UE may include, for example, but not limited to, a computing device, a wearable device, a mobile device, an IoT device, a vehicle, etc.

[0090] like Figure 1 As shown, UE102-1, UE102-2, and UE102-3 each serve as a communication terminal device to receive a communication signal (shown by a solid line) sent by the access point device 101.

[0091] like Figure 1 As shown, the wireless communication system may further include a sensing receiving end 103, which is used to receive an echo signal reflected by the sensing target 104 based on a sensing signal (shown by a dotted line) sent by the RAN device 101. Figure 1 In the example, the sensing target 104 is a car, and the sensing target may also include household appliances, human bodies, animals, objects, electronic devices and other objects that need to be sensed in the environment.

[0092] For the mono-static sensing mode, the sensing receiving end 103 is the RAN device 101. The RAN device 101 sends a communication signal to UE 102-1, UE 102-2, and UE 102-3, sends a sensing signal to a sensing target, and the RAN device 101 receives an echo signal.

[0093] For the bi-static sensing mode, the sensing receiving end 103 is a sensing UE, the RAN device 101 sends a communication signal to UE102-1, UE102-2, and UE102-3, sends a sensing signal to a sensing target, and an echo signal is received by the sensing UE, wherein the sensing UE may be any one of UE102-1, UE102-2, and UE102-3, and the sensing UE may also be UE102-4 other than UE102-1, UE102-2, and UE102-3.

[0094] Most beamforming algorithms in ISAC systems assume that the digital-to-analog converter DAC / analog-to-digital converter ADC at the signal transceiver has infinite / high-resolution quantization accuracy, but in systems equipped with large-scale antenna arrays, this will introduce higher hardware costs and power consumption.

[0095] At least in order to solve the above-mentioned technical problems, the embodiments of the present application provide a wireless communication method, an access network device, and a terminal device.

[0096] In a first aspect, a wireless communication method provided in an embodiment of the present application is applied to an access network device, such as Figure 2 As shown, including:

[0097] S201. Receive first information, where the first information represents a first analog-to-digital conversion accuracy of a communication terminal device.

[0098] S202. Generate a first weight and / or a second weight based on the first information, where the first weight is used for beamforming of a communication signal, and the second weight is used for beamforming of a perception signal;

[0099] S203: transmit a communication signal generated based on the first weight, and / or transmit a perception signal generated based on the second weight.

[0100] In a second aspect, an embodiment of the present application provides a wireless communication method, which is applied to a communication terminal device, such as Figure 3 As shown, including:

[0101] S301. Sending first information to an access network device, where the first information represents a first analog-to-digital conversion accuracy of a communication terminal device;

[0102] The first information is used to generate a first weight and / or a second weight, the first weight is used for beamforming of a communication signal, and the second weight is used for beamforming of a perception signal.

[0103] In a third aspect, a wireless communication method provided in an embodiment of the present application is applied to a wireless communication system including an access network device and a communication terminal device, wherein the terminal device is a communication terminal device, such as Figure 4 As shown, including:

[0104] S401. A communication terminal device sends first information to an access network device, where the first information represents a first analog-to-digital conversion accuracy of the communication terminal device.

[0105] S402. The access network device generates a first weight and / or a second weight based on the first information, wherein the first weight is used for beamforming of a communication signal, and the second weight is used for beamforming of a perception signal;

[0106] S403: The access network device generates a communication signal based on the first weight, and / or transmits a perception signal generated based on the second weight.

[0107] Next, Figure 2 , Figure 3 or Figure 4 The wireless communication method shown is described.

[0108] The first analog-to-digital conversion accuracy can be understood as the quantization accuracy, i.e., resolution, of the analog-to-digital converter (ADC) of the communication terminal device, and can be the number of quantization bits of the ADC of the communication terminal device. Here, the first analog-to-digital conversion accuracy can also be referred to as the first analog-to-digital conversion resolution, or the first analog-to-digital conversion resolution level. The first analog-to-digital conversion accuracy of the communication terminal device can be identified as q Rx,k .

[0109] In some embodiments, the ADC of the communication terminal device may be a low-resolution ADC.

[0110] The communication terminal device sends the first information to the access network device to report its own analog-to-digital conversion accuracy. The access network device generates the first weight and / or the second weight based on the received first information. The first weight can be understood as a communication signal shaping coefficient, which is used to precode the communication symbol to generate a communication signal and can be identified as W c The second weight can be understood as a perceptual signal shaping coefficient, which is used to precode the perceptual symbol to generate a perceptual signal and can be identified as W r .

[0111] In one example, the access network device generates a first weight and transmits a communication signal generated based on the first weight. In one example, the access network device generates a second weight and transmits a perception signal generated based on the second weight. In one example, the access network device generates a first weight and a second weight, transmits a communication signal generated based on the first weight, and transmits a perception signal generated based on the second weight.

[0112] In a possible implementation manner, the first analog-to-digital conversion accuracy of the communication terminal device is fixed.

[0113] In a possible implementation, the communication terminal device supports multiple analog-to-digital conversion precisions, and uses the analog-to-digital conversion precision used for analog-to-digital conversion of a received communication signal as the first analog-to-digital conversion precision.

[0114] In the embodiment of the present application, the first information can be sent to the access network device via a UE capability report or other signaling.

[0115] In the case where the wireless communication system includes at least one communication terminal device, each communication terminal device in the at least one communication terminal device sends its own first information to the access network device, and the access network device receives the first information of each communication terminal device in the at least one communication terminal device, and generates a first weight and / or a second weight based on the received at least one first information. Here, the number of the at least one communication terminal device is K, and the first analog-to-digital conversion accuracy of the kth communication terminal device can be identified as q Rx,k , the access network equipment is based on the q of each communication terminal device Rx,k Determine the first weight and / or the second weight. The first weight may be identified as W c , w k W c The kth column of represents the beamforming vector of the kth communication terminal device data stream, that is, the communication signal. Wherein, k is greater than or equal to 1 and less than or equal to K.

[0116] RAN equipment to communication symbols c and perceptual symbols r After precoding, a dual-function digital baseband transmission signal is obtained, and the digital baseband signal is converted into an analog signal through digital-to-analog conversion, and finally transmitted through a transmitting antenna. Among them, the perception symbol can also be called a perception-specific round-sequence symbol.

[0117] In the embodiment of the present application, the communication symbols sent by the access network device to different communication terminal devices are unrelated, the perception symbols are also unrelated to the communication symbols, and the communication symbols and the perception symbols can be generated by pseudo-random coding.

[0118] After receiving the communication signal, the communication terminal device performs analog-to-digital conversion on the received communication signal through an ADC having an analog-to-digital conversion accuracy of a first analog-to-digital conversion accuracy.

[0119] In the embodiment of the present application, a constraint strategy may be set, and the access network device will Rx,k As a known parameter of the constraint strategy, the first weight and / or the second weight are determined. Among them, the content of the constraint strategy can be set according to the needs, and the embodiment of the present application does not impose any restrictions on the content of the constraint strategy. In the embodiment of the present application, the constraint strategy can also be referred to as a constraint rule or restriction, a constraint model, etc. In the present application, the constraint strategy is used to determine the first weight and / or the second weight based on the first analog-to-digital conversion accuracy. In the embodiment of the present application, the algorithm used by the constraint strategy can be called an optimized beamforming algorithm.

[0120] In one example, the constraint strategy and the communication signal-to-noise ratio γ k The communication signal-to-noise ratio is related to the first analog-to-digital conversion accuracy.

[0121] In one example, the constraint strategy includes constraint condition 1: the communication signal-to-noise ratio is less than a communication signal-to-noise ratio threshold, wherein the communication signal-to-noise ratio threshold may be a predefined value or may be reported by a communication terminal device.

[0122] In one example, the constraint strategy includes constraint condition 1 and constraint condition 2, wherein constraint condition 2 is that the transmission power budget of the access network device is less than a set transmission power threshold.

[0123] In some embodiments, the known parameters of the constraint strategy may also include the digital-to-analog conversion accuracy q of the access network equipment. Tx , communication channel vector and other parameters. Among them, the digital-to-analog conversion accuracy of the access network equipment is the resolution when performing digital-to-analog conversion on the communication signal and the perception signal. The digital-to-analog conversion accuracy of the access network equipment is used to determine the quantization gain matrix of the digital-to-analog converter of the access network equipment. The communication channel vector is used to characterize the vector of the communication channel between the communication terminal equipment and the access network equipment, or the near-field communication vector from the access network equipment to the communication terminal equipment.

[0124] In the embodiment of the present application, the communication channel vector may be obtained by modeling the communication channel based on the spherical wave model, so that the wireless communication system in the embodiment of the present application can be applied to the expansion of the near field area in the high frequency scenario. There is no limitation on the channel model used for modeling the communication channel, which may include: Saleh-Valenzuela channel model, Rayleigh channel model and other channel models.

[0125] In an embodiment of the present application, the input parameters of the constraint strategy may directly include the first analog-to-digital conversion accuracy, or may include a first intermediate variable determined based on the first analog-to-digital conversion accuracy, such as: the analog-to-digital conversion gain of the communication terminal device. In this case, the access network device determines the first quantization gain of the analog-to-digital converter of the communication terminal device based on the first analog-to-digital conversion accuracy, and uses the first quantization gain as a known parameter of the constraint strategy to determine the first weight and / or the second weight.

[0126] In an embodiment of the present application, a communication terminal device reports first information characterizing the analog-to-digital conversion accuracy of the communication terminal device to an access network device. The access network device generates a first weight for beamforming of a communication signal and / or a second weight for beamforming of a perception signal based on the first information, thereby associating the beamforming of the communication signal and / or the beamforming of the perception signal with the analog-to-digital conversion accuracy of the communication terminal device, and designs weights, i.e., beamforming coefficients, for the communication signal and / or the perception signal under corresponding analog-to-digital conversion accuracy conditions to ensure communication performance while maximizing perception performance.

[0127] In some embodiments, the first information may explicitly represent the first analog-to-digital conversion accuracy, or may implicitly represent the first analog-to-digital conversion accuracy.

[0128] Explicitly characterizing a first analog-to-digital conversion accuracy for the first information

[0129] Generating the first weight and / or the second weight based on the first information in S202 includes: generating the first weight and / or the second weight based on a first analog-to-digital conversion accuracy of the communication terminal device included in the first information.

[0130] Here, the first information includes the first analog-to-digital conversion accuracy of the communication terminal device, that is, the communication terminal device explicitly reports the first analog-to-digital conversion accuracy.

[0131] Implicitly characterizing a first analog-to-digital conversion accuracy for the first information

[0132] Generating the first weight and / or the second weight based on the first information in S202 includes: determining the first analog-to-digital conversion accuracy based on the first device type of the communication terminal device included in the first information, and generating the first weight and / or the second weight based on the first analog-to-digital conversion accuracy.

[0133] The first information includes a first device type of the communication terminal device, where the first device type is associated with a first analog-to-digital conversion accuracy of the communication terminal device.

[0134] In an embodiment of the present application, a first device type related to analog-to-digital conversion accuracy among different analog-to-digital conversion accuracy is predefined, and the RAN device determines the received analog-to-digital conversion accuracy related to the first device type as the first analog-to-digital conversion accuracy of the current communication terminal device.

[0135] In an example, the first device type may be a hardware type of the communication terminal device.

[0136] In some embodiments, the known parameters of the constraint strategy may also include: the analog-to-digital conversion accuracy q of the sensing receiving end Rx,r At this time, the access network equipment is based on the analog-to-digital conversion accuracy q of the communication terminal equipment. Rx,k and the analog-to-digital conversion accuracy q at the sensing receiver Rx,r A first weight and / or a second weight is determined.

[0137] In one example, the constraint strategy and the communication signal-to-noise ratio γ k and the perceptual signal-to-noise ratio γ r The perceived signal-to-noise ratio is related to the analog-to-digital conversion accuracy at the perceived receiving end.

[0138] In one example, the constraint strategy may include, in addition to constraint condition 1, the following:

[0139] Constraint 3: Minimize the maximum value of the perceived signal-to-noise ratio.

[0140] In an embodiment of the present application, the input parameters of the constraint strategy may directly include the analog-to-digital conversion accuracy of the perceived receiving end, or may include a second intermediate variable determined based on the analog-to-digital conversion accuracy of the perceived receiving end, such as: the analog-to-digital conversion gain of the perceived receiving end. At this time, the access network device determines the second quantization gain of the analog-to-digital converter of the perceived receiving end based on the analog-to-digital conversion accuracy of the perceived receiving end, and uses the second quantization gain as a known parameter of the constraint strategy to determine the first weight and / or the second weight.

[0141] In the embodiment of the present application, the sensing receiving end includes the following three situations:

[0142] Case 1: The sensing receiving end is an access network device;

[0143] Case 2: The sensing receiving end is a sensing terminal device, and the sensing terminal device and the communication terminal device are the same terminal device;

[0144] Case 3: The perception receiving end is a perception terminal device, and the perception terminal device and the communication terminal device are different terminal devices.

[0145] In a possible implementation, for situation 1, based on Figure 2The wireless communication method shown, the wireless communication method provided in the embodiment of the present application also includes: determining the second analog-to-digital conversion accuracy of the access network device; S202 generates a first weight and / or a second weight based on the first information, including: generating the first weight and / or the second weight based on the first information and the second analog-to-digital conversion accuracy.

[0146] At this time, the sensing receiving end is the access network device. In the single-station sensing mode, the access network device receives and processes the echo signal, and the ADC in the access network device is used to perform analog-to-digital conversion on the received echo signal.

[0147] In the single-station perception mode, the access network device determines the first weight and / or the second weight based on its own second analog-to-digital conversion accuracy and the first analog-to-digital conversion accuracy represented by the first information.

[0148] In the embodiment of the present application, the second analog-to-digital conversion accuracy of the access network device can be identified as.

[0149] In a possible implementation, for case 2, in the dual-station sensing mode, the sensing terminal device and the communication sensing terminal device may be the same terminal device. In this case, the first analog-to-digital conversion accuracy of the communication terminal device may also be used as the third analog-to-digital conversion accuracy of the sensing terminal device, which is identified as q Rx,r .

[0150] In a possible implementation, for situation 3, based on Figure 2 The wireless communication method shown, the wireless communication method provided by the embodiment of the present application also includes: receiving second information of the perception terminal device, the second information characterizing the analog-to-digital conversion accuracy of the perception terminal device; S202 generates a first weight and / or a second weight based on the first information, including: generating the first weight and / or the second weight based on the first information and the second information.

[0151] In the dual-station sensing mode, the sensing terminal device receives and processes the echo signal, and the ADC in the sensing terminal device is used to perform analog-to-digital conversion on the received echo signal.

[0152] In the dual-station perception mode, the perception terminal device and the communication terminal device are different terminal devices. The access network device receives the second information sent by the perception terminal device and determines the first weight and / or the second weight based on the third analog-to-digital conversion accuracy of the perception terminal device represented by the second information and the first analog-to-digital conversion accuracy represented by the first information.

[0153] based on Figure 4 The wireless communication method, as Figure 5As shown, it also includes: S404, the perception terminal device sends the second information to the access network device; accordingly, S402 is described as: the access network device generates a first weight and / or a second weight based on the first information and the second information.

[0154] In the embodiment of the present application, the third analog-to-digital conversion accuracy of the sensing terminal device can be identified as q Rx,r .

[0155] In some embodiments, the second information may explicitly represent the third analog-to-digital conversion accuracy, or may implicitly represent the third analog-to-digital conversion accuracy.

[0156] Explicitly characterizing the third analog-to-digital conversion accuracy for the second information

[0157] Generating the first weight and / or the second weight based on the first information in S202 includes: generating the first weight and / or the second weight based on the third analog-to-digital conversion accuracy of the perception terminal device included in the first information and the second information.

[0158] Here, the second information includes the third analog-to-digital conversion accuracy of the perception terminal device, that is, the perception terminal device explicitly reports the third analog-to-digital conversion accuracy.

[0159] Implicitly characterizing the third analog-to-digital conversion accuracy for the second information

[0160] Generating the first weight and / or the second weight based on the first information in S202 includes: determining the third analog-to-digital conversion accuracy based on the second device type of the perception terminal device included in the second information, and generating the first weight and / or the second weight based on the first information and the third analog-to-digital conversion accuracy.

[0161] Here, the second information includes a second device type of the perception terminal device, and the second device type is associated with a third analog-to-digital conversion accuracy of the perception terminal device.

[0162] In an embodiment of the present application, a second device type related to each analog-to-digital conversion precision among different analog-to-digital conversion precisions is predefined, and the RAN device determines the analog-to-digital conversion precision related to the received second device type as the third analog-to-digital conversion precision of the current perception terminal device.

[0163] In one example, the second device type may be a hardware type of the sensing terminal device.

[0164] In some embodiments, based on Figure 2The wireless communication method shown, the wireless communication method provided in an embodiment of the present application also includes: receiving channel state information (Channel State Information, CSI) of the communication terminal device; generating a first weight and / or a second weight based on the first information in S202, including: generating the first weight and / or the second weight based on the channel state information and the first information.

[0165] Accordingly, based on Figure 3 The wireless communication method shown, the wireless communication method provided in an embodiment of the present application also includes: sending channel state information to the access network device, the channel state information is used to generate the first weight and / or the second weight with the first information.

[0166] based on Figure 4 The wireless communication method shown, Figure 6 As shown, before S402, it also includes:

[0167] S405. The communication terminal device sends CSI to the access network device.

[0168] At this time, S402 can be described as: the access network device generates the first weight and / or the second weight based on the CSI and the first information.

[0169] In the embodiment of the present application, the first information and CSI may be sent from the communication terminal device to the access network device via the same signaling or different signaling. The channel state information may include at least one of the following information: communication noise power, perceived noise power, and SINR threshold of the communication terminal device.

[0170] It can be understood that the access network device generates the first weight and / or the second weight based on the second analog-to-digital conversion accuracy or the second information and the first information, which can be described as the access network device generating the first weight and / or the second weight based on the second analog-to-digital conversion accuracy or the second information, CSI and the first information.

[0171] Here, the known parameters of the constraint strategy may also include CSI.

[0172] In one example, the access network device uses the first analog-to-digital conversion accuracy and the CSI as known parameters of the constraint strategy to determine the first weight and / or the second weight.

[0173] In one example, the access network device uses the first analog-to-digital conversion accuracy, the second analog-to-digital conversion accuracy, and the CSI as known parameters of the constraint strategy to determine the first weight and / or the second weight.

[0174] In the embodiments of the present application, the solutions in different embodiments may be implemented separately or in combination without conflict. The specific combination implementation will not be described in detail here.

[0175] In a possible implementation manner, when the communication terminal device determines the CSI based on the reference signal, the communication terminal device sends the CSI and the first information to the access network device.

[0176] In one possible implementation, based on Figure 2 The wireless communication method provided in an embodiment of the present application further includes: sending a first request, wherein the first request is used to request the first information.

[0177] Accordingly, based on Figure 3 The wireless communication method provided in the embodiment of the present application also includes: receiving a first request; and sending the first information in response to the first request.

[0178] Here, the access network device may send the first request to the communication terminal device based on sending the first request, so as to request the communication terminal device to report the first information.

[0179] based on Figure 4 The wireless communication method shown, Figure 7 As shown, it also includes: S406, the access network device sends a first request to the communication terminal device; correspondingly, S401 is described as: the communication terminal device sends the first information to the access network device in response to the first request.

[0180] The access network device determines whether it has the first information, and sends a first request to the communication terminal device if it does not have the first information, or sends the first request to the communication terminal device if it has the first information but the first information is not available.

[0181] It can be understood that when a communication terminal device sends first information and CSI to a terminal device, if any item of the first information and CSI of the communication terminal device is unavailable or invalid, the access network device sends a first request to the communication terminal device to request the first information and CSI of the communication terminal device.

[0182] In an embodiment of the present application, when the perception area changes or the position of the communication terminal device changes, it can be considered that the first information and / or CSI of the communication terminal device is unavailable.

[0183] In some embodiments, the first request includes one of the following messages: channel state information reference signal CSI-RS resource set configuration signaling; CSI reporting configuration signaling.

[0184] In some embodiments, the wireless communication method provided by the embodiments of the present application and applied to an access network device also includes: receiving a perception request; and sending the first request in response to the perception request.

[0185] Here, based on Figure 7 The wireless communication method shown, Figure 8 As shown, it also includes:

[0186] S407, the SF sensing function (Sensing Function, SF) device sends a sensing request to the access network device;

[0187] Correspondingly, S406 is described as the access network device sending a first request to the communication terminal device in response to the perception request.

[0188] Once the SF device perceives the service, it will send a perception request to the access network device to request the access network device to perform the perception process.

[0189] In an embodiment of the present application, the perception request may carry some perception-related information, such as: perception area or range, quality requirements of perception signals, etc.

[0190] In some embodiments, the wireless communication method provided in the embodiments of the present application and applied to an access network device also includes: determining the perception area or perception range included in the perception request; determining the perception channel matrix based on the perception area or perception range; generating the first weight and / or the second weight based on the first information in S202, including: generating the first weight and / or the second weight based on the first information and the perception channel matrix.

[0191] The sensing request carries the sensing area or sensing range to characterize the sensing area where the sensing target is located and the range of the sensing target. In one example, the sensing area or sensing range can be represented as the polar coordinates of the extended target in the set global coordinate system, represented as (r0, φ0), where r0 can be called the extended target distance and φ0 can be called the extended target angle.

[0192] Here, the known parameters of the constraint strategy may also include a perceptual channel matrix, and the perceptual channel matrix is ​​used to determine a perceptual signal-to-noise ratio.

[0193] In one example, the access network device uses the first analog-to-digital conversion accuracy and the perceived channel matrix as known parameters of the constraint strategy to determine the first weight and / or the second weight. In one example, the access network device uses the first analog-to-digital conversion accuracy, the second analog-to-digital conversion accuracy and the perceived channel matrix as known parameters of the constraint strategy to determine the first weight and / or the second weight. In one example, the access network device uses the first analog-to-digital conversion accuracy, the CSI, and the perceived channel matrix as known parameters of the constraint strategy to determine the first weight and / or the second weight. In one example, the access network device uses the first analog-to-digital conversion accuracy, the CSI, the second analog-to-digital conversion accuracy, and the perceived channel matrix as known parameters of the constraint strategy to determine the first weight and / or the second weight.

[0194] The perception channel matrix G is a matrix representing the perception channel between the access network device and the perception target, and may also be referred to as a steering vector. The access network device may determine the perception signal-to-noise ratio based on the perception channel matrix, and determine the first weight and / or the second weight based on the perception signal-to-noise ratio.

[0195] In an embodiment of the present application, the perception channel matrix can be obtained after modeling the perception channel based on a spherical wave model, so that the wireless communication system in the embodiment of the present application can be applied to the expansion of the near field area in high-frequency scenarios.

[0196] In an embodiment of the present application, the perception target may be modeled as an extended target, thereby adapting to a scenario in which the perception target is located in a near-field area of ​​an access network device.

[0197] In the single-station sensing mode, the sensing receiving end is the access network device, and in the dual-station mode, the sensing receiving end is the sensing terminal device.

[0198] In the single-station sensing mode, the access network device determines the sensing channel matrix based on the sensing area or sensing range.

[0199] In an embodiment of the present application, in a single-station sensing mode, the sensing receiving antenna array is co-located with the transmitting antenna array, and a truncated elliptical Fourier series model can be used to simulate the outline of the extended target.

[0200] In a possible implementation, the wireless communication method provided in the embodiment of the present application and applied to the access network device also includes: receiving the location information of the perception terminal device; generating the perception channel matrix based on the location information of the perception terminal device and the perception area or perception range.

[0201] Correspondingly, the perception terminal device also implements the following processing: sending the location information of the perception terminal device to the access network device.

[0202] In the dual-station sensing mode, the access network device receives the location information sent by the sensing terminal device. In the embodiment of the present application, the location information of the sensing terminal device can be expressed as the polar coordinates of the sensing terminal device in the set global coordinate system, expressed as (r s ,φ s ), where r s It can be called the distance of the sensing terminal device, φ s It can be called the angle of perception of the terminal device.

[0203] In an embodiment of the present application, in the dual-station perception mode, the access network device can determine the angle and distance from the perception target to the perception terminal device based on the location information of the perception terminal device and the perception area or perception range, thereby determining the perception channel matrix based on the determined angle and distance.

[0204] In some embodiments, based on Figure 2 The wireless communication method provided in an embodiment of the present application further includes: sending third information, wherein the third information is used to indicate a target subframe, and the target subframe is a subframe multiplexed for communication symbols and perception symbols.

[0205] Accordingly, based on Figure 3 The wireless communication method provided in the embodiment of the present application also includes: receiving third information, wherein the third information is used to indicate a target subframe, and the target subframe is a subframe multiplexed for communication symbols and perception symbols; and performing signal processing based on the third information.

[0206] The access network device multiplexes the same target subframe to send communication symbols and perception symbols, and when performing joint transmission of communication signals and perception signals, sends third information to a terminal device that receives the communication signal and / or perception signal. The terminal device that receives the third information can use the received third information to perform auxiliary communication signal processing processes such as interference estimation and processing and perception signal processing.

[0207] In an embodiment of the present application, the third information may be carried in downlink control information (DCI) sent to the communication terminal device.

[0208] In an example, an additional 1 bit may be added to the DCI to carry the third information.

[0209] In some embodiments, based on Figure 2 , the wireless communication method provided in the embodiment of the present application further includes:

[0210] receiving an echo perception signal, and determining a perception measurement result based on the echo perception signal, wherein the echo perception signal is an echo signal reflected by a perception target based on the perception signal; or

[0211] Receive the perception measurement results sent by the perception terminal device.

[0212] In single-station sensing mode, Fig. 9 As shown, the access network device 901 transmits a communication signal and a perception signal, the communication terminal device 902 receives the communication signal, the perception target 903 reflects the perception signal, and the access network device 901 receives an echo signal, i.e., a perception echo signal, which is reflected by the perception target 903 based on the perception signal. After receiving the echo perception signal, the access network device 901 processes the echo perception signal to obtain a perception measurement result.

[0213] In single-station sensing mode, Fig.10 As shown, the access network device 901 transmits a communication signal and a perception signal, the communication terminal device 902 receives the communication signal, the perception target 903 reflects the perception signal, and the perception terminal device 904 receives the echo signal reflected by the perception target 903 based on the perception signal, that is, the perception echo signal. After receiving the echo perception signal, the perception terminal device 904 processes the echo perception signal to obtain a perception measurement result.

[0214] In the embodiment of the present application, the perception measurement result may also be referred to as perception measurement result data.

[0215] In some embodiments, based on He9 or Fig.10 The wireless communication method applied to the access network device provided in the embodiment of the present application also includes: sending the perception measurement result to the SF device.

[0216] When the access network device determines the perception measurement result itself or receives the perception measurement result sent by the perception terminal device, the perception measurement result is reported to the SF device.

[0217] In some embodiments, reporting of the perception measurement result by the access network device to the SF device can be understood as a response to the received perception request.

[0218] The following describes the wireless communication method provided in the embodiment of the present application.

[0219] An embodiment of the present application provides a beamforming solution in an ISAC system configured with a digital-to-analog converter (DAC) / analog-to-digital converter (ADC) with low resolution quantization accuracy.

[0220] In order to achieve higher data transmission rates, mobile communication frequency bands are expanding to millimeter waves (mmWave) and terahertz (THz). At the same time, the use of large-scale antenna arrays to cope with the high path loss during high-frequency transmission has led to a significant increase in hardware costs and power consumption.

[0221] In related research, most beamforming algorithms in ISAC systems assume that the digital-to-analog converter DAC / analog-to-digital converter ADC at the transceiver end has infinite / high-resolution quantization accuracy, but in systems equipped with large-scale antenna arrays, this will introduce higher hardware costs and power consumption. Therefore, in actual systems, the use of DAC and ADC with low-resolution quantization accuracy will be considered to reduce the hardware cost and power consumption of millimeter-wave systems. However, in low-resolution quantization systems, the nonlinear effect of the quantizer cannot be ignored. In this case, existing algorithms cannot achieve good performance.

[0222] In the embodiment of the present application, it is possible to design a precoder for a communication signal and a perception signal, that is, a beamforming coefficient, under low-resolution quantization conditions, thereby maximizing the perception performance while ensuring the communication performance.

[0223] In addition to increasing system cost and power consumption, higher operating frequencies and larger antenna array apertures will also lead to the expansion of the near-field area. Therefore, in high-frequency scenarios, communication terminal devices and sensing targets are likely to be located in the near-field area of ​​the base station signal. In the near-field area, the assumption of far-field plane waves is no longer applicable, and wireless signals need to be modeled as spherical wave propagation, which leads to changes in near-field channel characteristics. In an embodiment of the present application, in the ISAC system, the beamforming of a large-scale antenna array configured with low-resolution ADCs and DACs designed for high-frequency scenarios should fully consider the influence of near-field effects.

[0224] In an embodiment of the present application, a robust optimized beamforming method is provided to solve the performance loss caused by the use of low-resolution DAC and ADC at the transceiver end in the high-frequency ISAC system, while taking into account the extended near-field area and various perception modes in high-frequency scenarios.

[0225] In an embodiment of the present application, a beamforming method for an ISAC system using a low-resolution DAC and ADC is provided. Among them, the DAC and ADC processes can be modeled using an additive quantization noise model (AQAM). Under the constraints of communication signal-to-noise ratio (SINR) and transmit power, the perceived SINR is optimized to enhance the communication and perception performance in a low-resolution quantization system. In addition, considering the expansion of the near-field region in high-frequency scenarios, a spherical wave model is used to model the communication and perception channels, and a truncated elliptical Fourier series is used to represent the near-field expansion target, thereby meeting the needs of actual scenarios.

[0226] The system architecture in the embodiment of the present application is as follows Fig.11 As shown, a downlink ISAC system supports single-station sensing mode and dual-station sensing mode.

[0227] like Fig.11 As shown, the transmitter of the RAN node transmits the communication symbol s c , and perception-specific round-order symbol sr The input digital precoding is precoded, and the precoded digital signal is input into the low-resolution DAC of each RF chain for digital-to-analog conversion, and transmitted through the transmitting antenna on the corresponding RF chain. For one RF chain, the real part Re(.) and the imaginary part Im(.) of the digital signal are respectively input into different low-resolution DACs. The signals transmitted by the RAN node include communication signals (shown by the solid line) and perception signals (shown by the dotted line). The RAN node is equipped with N T transmit antennas and N R A receiving antenna.

[0228] like Fig.11 As shown, each UE in the near-field UE1 to the near-field UEK receives communication signals y1 to y K Each near-field UE converts the received communication signal through the low-resolution ADC on the RF chain and then inputs it into the detector for detection to obtain the communication symbol. Among them, y1 is converted into y after the low-resolution ADC of the near-field UE1. 1,q , and so on, y K After the low-resolution ADC of the near-field UEK performs analog-to-digital conversion, y K,q .

[0229] like Fig.11 As shown in FIG. 1 , the perception signal transmitted by the RAN node transmitter is reflected by the near-field extended target and then received by the RAN node receiver or the perception UE. The perception signals received by each RF chain of the RAN node receiver or the perception UE can be represented as y R,1 to The sensing signal on each RF chain is converted into digital form by the low-resolution ADC on the corresponding RF chain, and then the parameters are estimated to obtain the sensing measurement result. R,1 After analog-to-digital conversion by low-resolution ADC, we get y R,q1 , and so on, After analog-to-digital conversion by low-resolution ADC,

[0230] For the single-station sensing mode, the RAN node sends dual-function (communication and sensing) signals to K single-antenna UEs and senses 1 sensing target, while receiving the echo signal reflected from the sensing target. For the dual-station sensing mode, the RAN node continues to act as a transmitter of the dual-function signal, while the reception and processing of the echo signal are completed by a sensing UE. The transmission and reception in this system are assumed to use low-resolution DAC and ADC, respectively. In addition, the UE and the sensing target are located in the near-field region of the RAN node.

[0231] The wireless communication method provided in the embodiment of the present application includes the following parts: signal processing process, near-field beamforming scheme, performance estimation and air interface enhancement.

[0232] The signal processing process includes the following parts: transmission signal generation, communication signal reception and processing, perception signal reception and processing, and near-field channel and perception target modeling.

[0233] For transmit signal generation

[0234] The digital baseband transmission signal from the RAN node is based on the communication precoding matrix W c , the communication symbol s sent to K UEs c , perceptual precoding matrix W r and perception-specific turn order symbol s r generate.

[0235] It is assumed that the communication symbols sent to different terminal devices are uncorrelated, the radar symbols, i.e., the perception symbols, are also uncorrelated with the communication symbols, and they are generated by pseudo-random coding.

[0236] In an embodiment of the present application, an additive quantization noise model (AQNM) can be used to model a baseband transmission signal quantized by a low-resolution digital-to-analog converter (DAC), wherein the model is related to the following parameters: a quantization gain matrix of the DAC, and a quantization noise that is independent of the input signal of the DAC. The quantization gain matrix of the DAC includes the gains of the DACs on each RF chain, wherein the gain of the DAC on an RF chain is related to the quantization distortion factor of the DAC on the RF chain, and the quantization distortion factor of the DAC is related to the number of quantization bits of the DAC, wherein the number of quantization bits of the DAC can be understood as the resolution or accuracy of the DAC.

[0237] Communication signal reception and processing

[0238] The kth communication terminal device, UE k, receives a communication signal sent by a RAN node based on a communication channel, wherein the received communication signal is an analog signal, and additive Gaussian white noise is introduced into the communication signal during the transmission process. The received analog signal can be based on the communication signal, the near field communication vector h from the RAN node to UE k k , and channel noise are represented, where the channel noise is additive white Gaussian noise.

[0239] The analog signal received by UE k is quantized into a digital signal by the ADC of UE k, wherein the AQNM can be used to model the digital signal quantized by the low-resolution ADC, wherein the model is related to the following parameters of UE k: the quantization gain of the ADC, and the quantization noise that is independent of the input signal of the ADC. The quantization gain of the ADC is related to the quantization distortion factor of the ADC, and the quantization distortion factor of the ADC is related to the number of quantization bits of the ADC, wherein the number of quantization bits of the ADC can be understood as the resolution or accuracy of the ADC.

[0240] The covariance of the quantization noise of the ADC of UE k may be used to determine the communication signal-to-noise ratio of UE k.

[0241] Reception and processing of sensory signals

[0242] The sensing channel matrix between the RAN node and the sensing receiver is represented as G. The analog signal received by the sensing receiver is related to the sensing channel matrix and the noise introduced by the sensing channel, wherein the noise introduced by the sensing channel is additive white Gaussian noise.

[0243] The analog signal received by the sensing receiving end is quantized into a digital signal by the ADC of the sensing receiving end, wherein the AQNM can be used to model the digital signal quantized by the low-resolution ADC, wherein the model is related to the following parameters of the sensing receiving end: the quantization gain of the ADC, and the quantization noise that is independent of the input signal of the ADC. The quantization gain of the ADC is related to the quantization distortion factor of the ADC, and the quantization distortion factor of the ADC is related to the number of quantization bits of the ADC, wherein the number of quantization bits of the ADC can be understood as the resolution or accuracy of the ADC.

[0244] The covariance of the quantization noise of the ADC at the sensing receiving end may be used to determine the perceived signal-to-noise ratio at the sensing receiving end.

[0245] In the embodiment of the present application, the maximum value of the perceived signal-to-noise ratio may be determined according to the property of the generalized Rayleigh quotient.

[0246] Near-field channel and sensing target modeling

[0247] In the near field, electromagnetic waves need to be modeled as spherical wave propagation, and the phase of the antenna array no longer changes linearly. Therefore, the expression of the steering vector changes accordingly. In the embodiment of the present application, the Saleh-Valenzuela model is used to represent the communication channel vector h of UE k. k Modeling.

[0248] In the embodiment of the present application, since the sensing target is located in the near field area of ​​the radio access network (RAN) node, it is reasonable to model it as an extended target.

[0249] The modeling of perceptual channels is related to the perceptual mode.

[0250] In the single-station sensing mode, the sensing receiving antenna array is co-located with the transmitting antenna array. The truncated elliptic Fourier series model is used to simulate the contour of the extended target. The coordinates of the extended target contour in the local coordinate system are represented by a truncated Fourier series with Q coefficients. The area C of the extended target contour can be expressed as LoS Divide into M parts to obtain G in single-station sensing mode.

[0251] In the bi-static sensing mode, the angle and distance from the sensing target to the sensing receiving antenna array need to be further derived based on the position of the sensing terminal device (UE). LoS It represents the area on the extended target contour with a direct path (LoS) to the RAN node and the sensor UE.

[0252] Near-field beamforming solution

[0253] In the embodiment of the present application, it is possible to select the sensing SINRγ r As the optimization target, and in the transmit power and communication SINRγ k Under the required constraints, the beamforming is determined to be W c and W r .

[0254] Air interface enhancement:

[0255] Air interface enhancement involves the following parts: a high-level framework of signal processing functions, a process of supporting beamforming in a base station single-station perception mode, and a process of supporting beamforming in a base station dual-station perception mode.

[0256] A high-level framework for signal processing functions

[0257] Fig.12 The basic functions and operations including transmitters, communication receivers, and perception receivers are summarized in a high-level manner.

[0258] like Fig.12 As shown, at the transmitting end, the communication symbol s c and perception-specific turn order symbol s r Passing through W c and W r After precoding, the digital baseband signal x=W is obtained c s c +W r s r The digital baseband signal is converted into a signal after digital-to-analog conversion: The communication signal in the communication channel matrix is ​​h kThe communication channel is received by the communication receiving end, and the signal received by the communication receiving end can be expressed as y k , where y k After analog-to-digital conversion, the signal is obtained The perception signal in is received by the perception receiving end through the perception channel with the communication channel matrix G. The signal received by the perception receiving end can be expressed as y r , where y r After analog-to-digital conversion, the signal is obtained

[0259] like Fig.12 As shown, the SINRγ of the communication signal k Based on the variable The SINRγ of the perceived signal is calculated by the function f(·). r Based on variables The function g(·) is calculated. Among them, the communication noise power of the communication signal of UE k is

[0260] In order to reduce the transmission power budget and communication signal-to-noise ratio γ k Under the constraints of r ) is shown in the figure to derive the optimal precoding matrix {W c ,W r}.like Fig.13 As shown, it is necessary to Fig.12 The relevant variables include CSI from K UEs, analog-to-digital converter (ADC) resolution of K UEs, minimum requirement for communication signal-to-noise ratio, and sensing range of the target. Among them, the sensing range is used to generate G. Other variables, such as the DAC resolution q of the transmitter, i.e., the RAN node Tx and the ADC resolution q at the sensing receiver Rx,r , which can be obtained at the RAN node if single-station sensing is used. If dual-station sensing is used, the ADC resolution q of the receiving end also needs to be sensed. Rx,r .

[0261] In the embodiment of the present application, the air interface is enhanced from the following aspects:

[0262] 1. Collect CSI of scheduled UEs, i.e. communication terminal devices, which can be achieved implicitly through channel reciprocity or explicitly through CSI feedback;

[0263] 2. Collect ADC resolution information of scheduled UEs and sensing UEs acting as sensing receivers, which can be achieved implicitly through enhanced UE capability reporting or through other signaling;

[0264] 3. Indicates subframes multiplexed as communication and sensing symbols, which is beneficial to UE signal processing (such as interference cancellation) and also to sensing signal processing;

[0265] 4. Flexibly allocate resources (such as time / frequency / power) for communication and sensing signals to meet demand and adapt to changing fading channels;

[0266] 5. Provide the location information of the perceived UE to the RAN node to determine the optimal steering vector;

[0267] 6. Update the beamforming weights once the sensing area and / or scheduled UEs change.

[0268] The process of supporting the beamforming scheme in gNB single-station sensing mode

[0269] The process of the beamforming scheme supported by gNB in ​​single-station sensing mode is as follows Fig.14 As shown, it includes the interaction between UE, gNB and SF.

[0270] exist Fig.14 In the process shown, it is assumed that the gNB provides regular communication interaction services to the communication UE, and the SF (sensing function entity) makes a sensing request. Next, the signals that need to be enhanced in each step will be described in detail, such as Fig.14 As shown, including:

[0271] S1401. Perform regular communication interaction between the gNB and multiple UEs.

[0272] Assume that the gNB serves a group of UEs using conventional control channels, reference signals, data transmission, and measurement reporting. CSI is needed for scheduling, precoding, and other purposes, such as radio link monitoring. Therefore, the base station can obtain CSI based on communication purposes.

[0273] S1402. SF sends a perception request for perception to the gNB.

[0274] Once a sensing service occurs, the SF sends a sensing request to the gNB with some relevant information, including at least a sensing area / range indication (to assist in generating the single-station sensing matrix G), a quality requirement for the sensing signal (to assist in monitoring the sensing performance γ r ).

[0275] S1403. The gNB requests the UE to report the CSI and ADC resolution level.

[0276] If the CSI or ADC resolution of the scheduled UE is not available, the gNB needs to request this information through corresponding signaling, such as CSI-RS resource set configuration and CSI report configuration. For ADC resolution, it is necessary to define some new signaling. One way is to explicitly report the ADC resolution in the UE capabilities; another way is to predefine the UE category related to ADC resolution or other hardware information and report the category when requested.

[0277] S1404. The UE reports the estimated CSI and ADC resolution.

[0278] Once the UE receives the request, it will report the CSI and ADC resolution or category to the gNB.

[0279] S1405. The gNB calculates the optimal beamforming weight.

[0280] Using the received variables, the gNB can calculate the optimal beamforming weights for the scheduled UE and the sensing signals.

[0281] S1406. The gNB sends data to the UE using the generated beamforming weights for communication.

[0282] Since the communication data sent to the UE is multiplexed with the sensing signal in the same subframe, it is necessary to indicate this information to the UE to assist in interference estimation and further interference cancellation. This can be achieved by adding an extra bit in the DCI of the scheduled UE.

[0283] S1407. The gNB sends a perception signal using the generated beamforming weights for perception.

[0284] After the transmission of the sensing signal based on the generated beamforming weights, the gNB will receive and process the echo sensing signal to infer the sensing measurement result data.

[0285] S1408. The gNB reports the measurement results to the SF.

[0286] Upon request, the sensor measurement result data is reported to the SF.

[0287] Therefore, this beamforming solution well supports the transmission of dual-function signals under gNB single-site perception.

[0288] gNB supports the beamforming scheme in dual-station sensing mode

[0289] The process of the gNB supporting the beamforming scheme in dual-station sensing mode is as follows Fig.15 As shown, it includes the interaction between UE, gNB and SF.

[0290] exist Fig.15In the process shown, it is assumed that the gNB provides regular communication interaction services for the communication UE, and the SF (sensing function entity) makes a sensing request. Then, the gNB selects a UE as a sensing receiver for sensing. Next, the signals that need to be enhanced in each step will be described in detail, such as Fig.15 As shown, including:

[0291] S1501. Perform regular communication interaction between the gNB and multiple UEs.

[0292] Assume that the gNB serves a group of UEs using conventional control channels, reference signals, data transmission, and measurement reporting. CSI is needed for scheduling, precoding, and other purposes, such as radio link monitoring. Therefore, the base station can obtain CSI based on communication purposes.

[0293] S1502. SF sends a perception request for perception to the gNB.

[0294] Once a sensing service occurs, the SF sends a sensing request to the gNB with some relevant information, including at least a sensing area / range indication (to assist in generating the single-station sensing matrix G), a quality requirement for the sensing signal (to assist in monitoring the sensing performance γ r ).

[0295] S1503. The gNB requests the UE to report the CSI and ADC resolution level.

[0296] If the CSI or ADC resolution of the scheduled UE is not available, the gNB needs to request this information through corresponding signaling, such as CSI-RS resource set configuration and CSI report configuration. For ADC resolution, it is necessary to define some new signaling. One way is to explicitly report the ADC resolution in the UE capabilities; another way is to predefine the UE category related to ADC resolution or other hardware information and report the category when requested.

[0297] S1504. The UE reports the estimated CSI and ADC resolution.

[0298] Once the UE receives the request, it will report the CSI and ADC resolution or category to the gNB.

[0299] S1505. The gNB establishes a connection with the UE for dual-site awareness.

[0300] In this step, the sensing UE needs to report sensing-related capabilities, including at least: ADC resolution level, capabilities to support sensing, such as: reception and processing of sensing signals, ADC resolution level, and assisting gNB in ​​determining the position of the steering vector G. Similarly, the ADC resolution level can be implicitly indicated by the hardware type.

[0301] S1506. The gNB calculates the optimal beamforming weight.

[0302] Using the received variables, the gNB can calculate the optimal beamforming weights for the scheduled UE and the sensing signals.

[0303] S1507. The gNB sends a configuration of a perception signal to the perception UE.

[0304] The configuration of the perception signal includes: resources in the time domain or frequency domain, format and other parameters related to signal generation. Based on the configuration, the perception UE can receive and process the perception signal.

[0305] S1508. The gNB sends a perception signal using the generated beamforming weights for perception.

[0306] After the transmission of the sensing signal based on the generated beamforming weights, the gNB will receive and process the echo sensing signal to infer the sensing measurement result data.

[0307] S1509. The gNB sends data to the UE using the generated beamforming weights for communication.

[0308] Since the communication data sent to the UE is multiplexed with the sensing signal in the same subframe, it is necessary to indicate this information to the UE to assist in interference estimation and further interference cancellation. This can be achieved by adding an extra bit in the DCI of the scheduled UE.

[0309] S1510. The sensing UE reports the measurement result to the gNB.

[0310] Upon request, the perception measurement result data is reported to the gNB.

[0311] S1511. gNB further reports the measurement results to SF.

[0312] Upon request, the sensory measurement result data is further reported to the SF.

[0313] Therefore, this beamforming scheme well supports the transmission of dual-function signals under gNB dual-site perception.

[0314] In the embodiment of the present application, in order to enhance the performance of the low-resolution ISAC system supporting high-frequency near-field scenarios, a beamforming algorithm and a new signaling process based on the air interface are proposed:

[0315] 1. An algorithm for generating optimized near-field beamforming weights for communication and perception for a transceiver unit configured with a low-resolution quantized DAC / ADC.

[0316] 2. An air interface signaling process supporting the algorithm is designed, including relevant signaling interactions between the communicating UE, sensing UE, gNB and SF.

[0317] 3. The relevant information of the communication and perception UE, including: ADC resolution level and location needs to be sent to the gNB that supports dual-station perception.

[0318] The method proposed in the embodiment of the present application helps to improve communication and perception performance while using low-cost hardware.

[0319] In a fourth aspect, to implement the wireless communication method described above, a device 1600 (access network device or terminal device) according to an embodiment of the present application may include at least one processor 1601 and at least one transceiver 1602 coupled to the at least one processor 1601. The transceiver 1602 may include at least one separate receiving circuit system and transmitting circuit system, or at least one integrated receiving circuit system and transmitting circuit system. The at least one processor 1601 may be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA).

[0320] According to some embodiments of the present application, when the device 1600 is an access network device, the processor is configured to:

[0321] Receiving first information via the transceiver, the first information representing a first analog-to-digital conversion accuracy of a communication terminal device;

[0322] Based on the first information, generate a first weight and / or a second weight, the first weight being used for beamforming of a communication signal, and the second weight being used for beamforming of a perception signal;

[0323] A communication signal generated based on the first weight is transmitted via the transceiver, and / or a perception signal generated based on the second weight is transmitted.

[0324] In some embodiments, the processor is configured to:

[0325] Generate the first weight and / or the second weight based on a first analog-to-digital conversion accuracy of the communication terminal device included in the first information; or

[0326] The first analog-to-digital conversion accuracy is determined based on a first device type of the communication terminal device included in the first information, and the first weight and / or the second weight is generated based on the first analog-to-digital conversion accuracy.

[0327] In some embodiments, the processor is configured to:

[0328] Determining a second analog-to-digital conversion accuracy of the access network device;

[0329] The first weight and / or the second weight are generated based on the first information and the second analog-to-digital conversion accuracy.

[0330] In some embodiments, the processor is configured to:

[0331] Receiving, via the transceiver, second information of a perception terminal device, wherein the second information represents an analog-to-digital conversion accuracy of the perception terminal device;

[0332] The first weight and / or the second weight are generated based on the first information and the second information.

[0333] In some embodiments, the processor is configured to:

[0334] Generate the first weight and / or the second weight based on the third analog-to-digital conversion accuracy of the perception terminal device included in the first information and the second information; or

[0335] The third analog-to-digital conversion accuracy is determined based on the second device type of the perception terminal device included in the second information, and the first weight and / or the second weight is generated based on the first information and the third analog-to-digital conversion accuracy.

[0336] In some embodiments, the processor is configured to:

[0337] Receiving channel state information of the communication terminal device via the transceiver;

[0338] The first weight and / or the second weight are generated based on the channel state information and the first information.

[0339] In some embodiments, the processor is configured to:

[0340] A first request is sent via the transceiver, the first request being used to request the first information.

[0341] In some embodiments, the first request includes one of the following messages:

[0342] Channel state information reference signal CSI-RS resource set configuration signaling;

[0343] CSI reporting configuration signaling.

[0344] In some embodiments, the processor is configured to:

[0345] receiving, via the transceiver, a sensing request;

[0346] In response to the sensing request, the first request is sent via the transceiver.

[0347] In some embodiments, the processor is configured to:

[0348] Determining a sensing area or a sensing range included in the sensing request;

[0349] Determine a sensing channel matrix based on the sensing area or sensing range;

[0350] The first weight and / or the second weight are generated based on the first information and the perceptual channel matrix.

[0351] In some embodiments, the processor is configured to:

[0352] Receiving location information of a sensing terminal device via the transceiver;

[0353] The sensing channel matrix is ​​generated based on the location information of the sensing terminal device and the sensing area or sensing range.

[0354] In some embodiments, the processor is configured to:

[0355] Third information is sent via the transceiver, where the third information is used to indicate a target subframe, where the target subframe is a subframe multiplexed for communication symbols and perception symbols.

[0356] In some embodiments, the processor is configured to:

[0357] Receiving an echo perception signal via the transceiver, and determining a perception measurement result based on the echo perception signal, wherein the echo perception signal is an echo signal reflected by a perception target based on the perception signal; or

[0358] The sensing measurement result sent by the sensing terminal device is received via the transceiver.

[0359] In some embodiments, the processor is configured to:

[0360] The sensing measurement result is sent to the SF device via the transceiver.

[0361] According to some embodiments of the present application, when the device 1600 is a terminal device, the processor is configured to:

[0362] Sending first information to the access network device via the transceiver, where the first information represents a first analog-to-digital conversion accuracy of the communication terminal device;

[0363] The first information is used to generate a first weight and / or a second weight, the first weight is used for beamforming of a communication signal, the second weight is used for beamforming of a perception signal, and the terminal device is a communication terminal device.

[0364] In some embodiments, the first information includes a first analog-to-digital conversion accuracy of the communication terminal device; or,

[0365] The first information includes a first device type of the communication terminal device, where the first device type is associated with a first analog-to-digital conversion accuracy of the communication terminal device.

[0366] In some embodiments, the processor is configured to:

[0367] Channel state information of the communication terminal device is sent via the transceiver, and the channel state information is used to generate the first weight and / or the second weight with the first information.

[0368] In some embodiments, the processor is configured to:

[0369] receiving, via the transceiver, a first request;

[0370] In response to the first request, the first information is sent via the transceiver.

[0371] In some embodiments, the processor is configured to:

[0372] receiving, via the transceiver, third information for indicating a target subframe, the target subframe being a subframe multiplexed for communication symbols and perception symbols;

[0373] Signal processing is performed based on the third information.

[0374] The description of the above device embodiment is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the device embodiment of the present application, please refer to the description of the method embodiment of the present application for understanding.

[0375] It should be noted that in the embodiment of the present application, if the above-mentioned wireless communication method is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, which is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a disk or an optical disk. In this way, the embodiment of the present application is not limited to any specific combination of hardware and software.

[0376] In the fifth aspect, in order to implement the above-mentioned wireless communication method, an embodiment of the present application provides an electronic device, including a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the program, it implements the steps in the wireless communication method provided in the above-mentioned embodiment.

[0377] In a sixth aspect, an embodiment of the present application provides a storage medium, that is, a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the wireless communication method provided in the above embodiment are implemented.

[0378] It should be noted here that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium and device embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0379] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in some embodiments" appearing throughout the specification may not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present application. The above-mentioned sequence numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0380] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0381] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0382] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0383] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be a separate unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0384] Those skilled in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM), magnetic disks or optical disks, etc., various media that can store program codes.

[0385] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present application can be essentially or partly embodied in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0386] The above is only an implementation method of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An access network device, the access network device comprising: Transceiver; and a processor coupled to the transceiver, wherein the processor is configured to: Receiving first information via the transceiver, the first information representing a first analog-to-digital conversion accuracy of a communication terminal device; Based on the first information, generate a first weight and / or a second weight, the first weight being used for beamforming of a communication signal, and the second weight being used for beamforming of a perception signal; A communication signal generated based on the first weight is transmitted via the transceiver, and / or a perception signal generated based on the second weight is transmitted.

2. The access network device according to claim 1, wherein the processor is configured to: Generate the first weight and / or the second weight based on a first analog-to-digital conversion accuracy of the communication terminal device included in the first information; or The first analog-to-digital conversion accuracy is determined based on a first device type of the communication terminal device included in the first information, and the first weight and / or the second weight is generated based on the first analog-to-digital conversion accuracy.

3. The access network device according to claim 1, wherein the processor is configured to: Determining a second analog-to-digital conversion accuracy of the access network device; The first weight and / or the second weight are generated based on the first information and the second analog-to-digital conversion accuracy.

4. The access network device according to claim 1, wherein the processor is configured to: Receiving, via the transceiver, second information of a perception terminal device, wherein the second information represents an analog-to-digital conversion accuracy of the perception terminal device; The first weight and / or the second weight are generated based on the first information and the second information.

5. The access network device according to claim 4, wherein the processor is configured to: Generate the first weight and / or the second weight based on the third analog-to-digital conversion accuracy of the perception terminal device included in the first information and the second information; or The third analog-to-digital conversion accuracy is determined based on the second device type of the perception terminal device included in the second information, and the first weight and / or the second weight is generated based on the first information and the third analog-to-digital conversion accuracy.

6. The access network device according to any one of claims 1 to 4, wherein the processor is configured to: Receiving channel state information of the communication terminal device via the transceiver; The first weight and / or the second weight are generated based on the channel state information and the first information.

7. The access network device according to any one of claims 1 to 4, wherein the processor is configured to: sending, via the transceiver, a first request for requesting the first information; The first request includes one of the following messages: Channel state information reference signal CSI-RS resource set configuration signaling; CSI reporting configuration signaling.

8. The access network device according to any one of claims 1 to 4, wherein the processor is configured to: The third information is sent via the transceiver, where the third information is used to indicate a target subframe, where the target subframe is a subframe multiplexed for communication symbols and perception symbols.

9. The access network device according to claim 1, wherein the processor is configured to: Receiving an echo perception signal via the transceiver, and determining a perception measurement result based on the echo perception signal, wherein the echo perception signal is an echo signal reflected by a perception target based on the perception signal; or The sensing measurement result sent by the sensing terminal device is received via the transceiver.

10. A terminal device, comprising: Transceiver; and a processor coupled to the transceiver, wherein the processor is configured to: Sending first information to the access network device via the transceiver, where the first information represents a first analog-to-digital conversion accuracy of the communication terminal device; The first information is used to generate a first weight and / or a second weight, the first weight is used for beamforming of a communication signal, the second weight is used for beamforming of a perception signal, and the terminal device is a communication terminal device.

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