Reconfigurable intelligent surface auxiliary sensing integrated beam control method and device and medium

Abstract

The invention relates to a reconfigurable intelligent surface-assisted sensing integrated beam control method and device and a medium, and belongs to the technical field of wireless communication, and the method comprises the following steps: determining that the beam is transmitted to a target base station under a limited transmitting power based on imperfect channel state information of a row link, user communication information and radar sensing mutual information at the target base station; the optimal energy efficiency beam forming strategy and the reconfigurable intelligent surface optimal phase shift of the communication signal and interference plus noise ratio required by a minimum user and radar sensing mutual information are met, the communication energy efficiency is greatly improved under imperfect channel state information, and the problem that the communication efficiency is greatly improved under the imperfect channel state information at present is solved. And the energy consumption for optimizing the communication perception integrated system by adopting idealized channel state information is not ideal.

Description

Technical Field

[0001] The invention relates to a reconfigurable intelligent surface-assisted synaesthesia integrated beam control method, device and medium, and belongs to the technical field of wireless communication. Background Art

[0002] Integrated Sensing and Communication (ISAC) technology not only significantly improves the utilization efficiency of spectrum resources by deeply integrating communication and perception functions, but also effectively reduces the hardware cost and complexity of system deployment, thus showing broad research prospects; however, in a real signal propagation environment, the direct link between the transmitter and the receiver may be blocked by obstacles, resulting in the appearance of non-line-of-sight (NLOS) links in the ISAC system. The existence of such non-line-of-sight links may make it difficult for ISAC technology to achieve the desired effect.

[0003] Reconfigurable Intelligent Surfaces (RIS) are considered as a key enabling technology for the next generation of wireless networks, mainly due to their outstanding ability to intelligently reconfigure the wireless propagation environment. Specifically, RIS is a metasurface composed of many passive electromagnetic elements, each of which can independently and adaptively adjust the phase offset of the incident signal. By intelligently coordinating these reflections, RIS can build a favorable line-of-sight (LoS) link between the transmitter and the receiver, thus providing an innovative way to solve the NLOS propagation problem; however, most of the current research on RIS is based on the assumption of perfect channel state information (CSI), which is often difficult to obtain in practical applications. Based on imperfect CSI, improving the robustness and adaptability of wireless communication systems under the interference factors caused by channel estimation errors is a difficult problem that needs to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide a reconfigurable intelligent surface-assisted synaesthesia integrated beam control method, device and medium, which can significantly optimize the beamforming energy efficiency while improving the communication quality under imperfect channel state information, and solve the current problem of unsatisfactory energy consumption optimization of the communication perception integrated system using idealized channel state information under imperfect channel state information.

[0005] In order to solve the above technical problems, the present invention is implemented by adopting the following technical solutions: On one hand, the present invention provides a reconfigurable intelligent surface-assisted synaesthesia integrated beam control method, comprising: According to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface, the downlink imperfect channel state information, the user communication information and the radar sensing mutual information at the target base station are obtained; Based on the downlink imperfect channel state information, user communication information and radar perception mutual information, the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information are determined under limited transmission power; The target base station transmits a beam according to the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0006] Furthermore, the step of obtaining downlink imperfect channel state information and user communication information according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface includes: The target base station's transmission signal is expressed as , ; in: represents the beamforming matrix, represents the transmitted symbol vector; The received signal at the user in the downlink is expressed as: ; in: Indicates the number of users in the downlink k The received signal at Indicates the number of base station transmitting antennas, K Indicates the number of users; represents conjugate transpose; express The conjugate transpose of Indicates the target base station to the user k communication channels; express The diagonal matrix and The product of , Indicates the construction of a diagonal matrix; express The conjugate transpose of Representing reconfigurable smart surfaces to users k communication channels; H express The conjugate transpose of represents the channel from the target base station to the reconfigurable smart surface; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; Indicates user The beamforming matrix is Indicates that except user In addition beamforming matrices; Indicates user k Communication symbol vector, Indicates that except user In addition symbol vector; Indicates user k The additive Gaussian white noise at , with variance is ; Since there are errors in the channel state information, the downlink imperfect channel state information can be expressed as: ; ; in: represents the estimated value of the channel between the base station and the user, represents the channel error between the base station and the user, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the user, represents the channel error from the base station to the reconfigurable smart surface and then to the user, obey , express The corresponding variance; The user communication information includes the communication signal at the user and the interference plus noise ratio. The communication signal at the user and the interference plus noise ratio are expressed as: ; in: Indicates user k The communication signal to interference plus noise ratio at Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; It means finding the trace of a matrix; express The conjugate transpose of represents the equivalent link of the downlink, ; express The conjugate transpose of .

[0007] Furthermore, the acquiring radar perception mutual information at the target base station according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface includes: According to the transmission signal of the target base station and the reflected signal of the reconfigurable smart surface, the received signal at the target base station is calculated by the following formula: ; in: represents a received signal at a target base station; Indicates the number of detected targets, represents conjugate transpose; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the target; ; represents the actual value of the channel from the base station to the reconfigurable smart surface and then to the target, , It means constructing a diagonal matrix. express The diagonal matrix and H The product of express The conjugate transpose of represents the channel from the reconfigurable smart surface to the target, H express The conjugate transpose of ; represents the channel error from the base station to the reconfigurable smart surface and then to the target, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; Indicates the transmission signal of the target base station; represents the additive Gaussian white noise at the reconfigurable smart surface, with a variance of ; According to the received signal at the target base station, the radar perception mutual information at the target base station is calculated by the following formula: ; in: represents the radar sensing mutual information at the target base station; express The conjugate transpose of represents the target response matrix; represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix, , express The conjugate transpose of ; It means to find the trace of a matrix.

[0008] Furthermore, the method of determining the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power based on the downlink imperfect channel state information, user communication information and radar perception mutual information includes: Determine the optimization problem that optimizes communication energy efficiency based on downlink imperfect channel state information, user communication information and radar sensing mutual information; Based on the optimization problem, semi-definite relaxation, Dinkelbach and continuous convex approximation algorithms are used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0009] Furthermore, the optimization problem of optimizing communication energy efficiency is expressed as: ;

[0010] ; ; ; ; ;

[0011] in: K Indicates the number of users; M represents the number of reflective units on the reconfigurable smart surface; Indicates user k The communication signal to interference plus noise ratio at represents the sensing mutual information at the target base station; express The conjugate transpose of represents the equivalent link of the downlink; express The conjugate transpose of represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; represents the phase of the reflective unit on the reconfigurable smart surface, Reconfigurable smart surface m The phase of the reflection unit; It means finding the trace of a matrix; It means to find the rank of the matrix; Indicates the interference caused by channel estimation error and user k The sum of additive white Gaussian noise at ; Indicates additional power consumption; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; express The conjugate transpose of represents the target response matrix; represents the minimum radar perception mutual information required by the radar; Indicates the maximum transmit power of the target base station.

[0012] Furthermore, the optimization problem is based on the use of semi-positive relaxation, Dinkelbach algorithm and continuous convex approximation algorithm to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface, including: Based on the optimization problem, the semi-positive definite relaxation algorithm and the Dinkelbach algorithm are used to determine the beamforming matrix that forms the best beam for communication energy efficiency; According to the beamforming matrix for forming the best beam for communication energy efficiency, a transmit precoding of the best beamforming strategy for communication energy efficiency is obtained; Based on the optimization problem, a continuous convex approximation algorithm is used to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency.

[0013] Furthermore, the method of determining a beamforming matrix for forming a beam with optimal communication energy efficiency by using a semi-positive definite relaxation algorithm and a Tinkelbach algorithm based on the optimization problem includes: Under the condition of a given reconfigurable smart surface phase shift, the beamforming matrix is ​​optimized to obtain the first optimization problem, which is expressed as: ; ; ; ; ; ;

[0014] in: K Indicates the number of users; express The conjugate transpose of represents an equivalent link of a communication link; express The conjugate transpose of represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; It means finding the trace of a matrix; It means to find the rank of the matrix; express The conjugate transpose of represents the target response matrix; represents the variance of the additive Gaussian white noise at the reconfigurable smart surface; Indicates the maximum transmit power of the base station; Indicates additional power consumption; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; represents the channel estimation error, interference and user k The sum of additive white Gaussian noise at ; , represents a threshold value, represents the minimum radar perception mutual information required by the radar; The first optimization problem is solved to obtain a beamforming matrix that forms a beam with optimal communication energy efficiency.

[0015] Furthermore, the optimization problem based on the continuous convex approximation algorithm is used to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency, including: Under the condition of a given beamforming matrix, the reconfigurable smart surface phase shift matrix is ​​optimized, and the second optimization problem is obtained. The second optimization problem is expressed as: ; ; ; .. in: A negative value represents the communication energy efficiency; K Indicates the number of users; M represents the number of reflective units on the reconfigurable smart surface; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; express The conjugate transpose of Represents the value of the expansion point based on the first-order Taylor algorithm; Indicates user k exist Communication energy efficiency value at point express The conjugate transpose of Represented by the matrix Take out in order Melements as a row of the new matrix, Represents a dimension Matrix of Represents the first m The phase of the reflection unit; Indicates the number of detected targets; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; represents a threshold value, represents the minimum perceptual mutual information required for radar perception; represents the variance of the additive Gaussian white noise at the reconfigurable smart surface; represents the second term of the first-order Taylor expansion; represents the restriction coefficient, ; represents the L2 norm; represents the sum of the channel estimation error interference and the additive white Gaussian noise at user k, and It represents the result after the convexification of the user communication signal and the interference plus noise ratio constraint; represents the estimated value of the channel between the base station and the user, represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the user; The second optimization problem is solved to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency.

[0016] Another aspect of the present invention provides a reconfigurable intelligent surface-assisted synaesthesia integrated beam control device, comprising: An acquisition module, used to acquire downlink imperfect channel state information, user communication information and radar perception mutual information at the target base station according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface; A calculation module is used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meets the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power based on downlink imperfect channel state information, user communication information and radar perception mutual information; The processing module is used to control the target base station transmission beam according to the best energy efficiency beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0017] The present invention also provides a computer-readable storage medium on which a computer program is stored, characterized in that when the computer program is executed by a processor, the above-mentioned reconfigurable intelligent surface-assisted synaesthesia integrated beam control method is implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention is based on the imperfect channel state information of the line link, the user communication information and the perceived mutual information at the target base station. Under limited transmission power, the optimal energy-efficient beamforming strategy with the minimum interference plus noise ratio of the user's required communication signal and the minimum perceived mutual information and the optimal phase shift of the reconfigurable smart surface are adopted. Under imperfect channel state information, the communication energy efficiency is greatly improved, and the problem of unsatisfactory energy consumption optimization of the communication perception integrated system using idealized channel state information under imperfect channel state information is solved.

[0019] 2. Based on the imperfect channel state information of the downlink, the user communication information and the perceived mutual information at the target base station, the present invention determines the optimization problem of optimizing the communication energy efficiency, takes maximizing the communication energy efficiency as the optimization goal, and obtains the transmit precoding and optimal phase shift of the reconfigurable smart surface that form the beam with the best communication energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flow chart of a reconfigurable intelligent surface-assisted synaesthesia integrated beam control method provided by an embodiment of the present invention; Figure 2 It is an optimization flow chart of the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface provided by an embodiment of the present invention; Figure 3 It is a schematic diagram comparing the communication energy efficiency values ​​of the reconfigurable intelligent surface-assisted synaesthesia integrated beam control method provided by an embodiment of the present invention and the existing method. DETAILED DESCRIPTION

[0021] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.

[0022] In the description of the present invention, it should be understood that the terms "first", "second", etc. are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first", "second", etc. may explicitly or implicitly include one or more of the features. Example

[0023] like Figure 1 As shown, the reconfigurable intelligent surface assisted synaesthesia integrated beam control method includes: According to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface, the downlink imperfect channel state information, user communication information and radar perception mutual information at the target base station are obtained. Specifically: It should be noted that the method proposed in this embodiment is based on an Integrated Sensing and Communication (ISAC) system, and the transmission signal of the target base station is expressed as , ; in, The dimension is The communication beamforming matrix, The dimension is The radar beamforming matrix, The dimension is K Communication symbol vector, The dimension is N Radar detection symbol; K Indicates the number of users, N Indicates the number of transmitting antennas of the target base station; represents the beamforming matrix, , Indicates The beamforming matrix of rows; represents the transmitted symbol vector, , T represents transpose; The received signal at the user in the downlink is expressed as: ; in, Indicates the number of users in the downlink k The received signal at Indicates user The beamforming matrix is Indicates user k Communication symbol vector, Indicates that except user In addition beamforming matrix, Indicates that except user In addition symbol vector; represents conjugate transpose; express The conjugate transpose of Indicates the target base station to the userk The communication channel has the dimension ; express The diagonal matrix and The product of , It means constructing a diagonal matrix. express The conjugate transpose of Representing reconfigurable smart surfaces to users k The communication channel has the dimension M , M represents the number of reflective units on the reconfigurable smart surface; express The conjugate transpose of represents the phase shift matrix of the reconfigurable smart surface, , Indicates M A reconfigurable smart surface reflective unit; Indicates user k Additive Gaussian white noise at , represents a Gaussian distribution, Indicates user k The additive white Gaussian noise variance at ; Since there are errors in the channel state information, the downlink imperfect channel state information can be expressed as: ; ; in: represents the estimated value of the channel between the base station and the user, represents the channel error between the base station and the user, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the user, represents the channel error from the base station to the reconfigurable smart surface and then to the user, obey , express The corresponding variance; The user communication information includes the communication signal at the user and the interference plus noise ratio. The communication signal at the user and the interference plus noise ratio are expressed as: ; Indicates user k The communication signal to interference plus noise ratio at It means finding the trace of a matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix, , express The conjugate transpose of ; represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix, , express The conjugate transpose of ; express The conjugate transpose of represents the equivalent link of the downlink, ; express The conjugate transpose of .

[0024] According to the transmission signal of the target base station and the reflected signal of the reconfigurable smart surface, the received signal at the target base station is calculated by the following formula: ; in: represents a received signal at a target base station; Indicates the number of detected targets, represents conjugate transpose; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the target, ; represents the actual value of the channel from the base station to the reconfigurable smart surface and then to the target, , It means constructing a diagonal matrix. express The diagonal matrix and H The product of express The conjugate transpose of represents the channel from the reconfigurable smart surface to the target, H express The conjugate transpose of ; represents the channel error from the base station to the reconfigurable smart surface and then to the target, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; represents the additive Gaussian white noise at the reconfigurable smart surface, with a variance of ; According to the received signal at the target base station, the radar perception mutual information at the target base station is calculated by the following formula: ; in: represents the radar sensing mutual information at the target base station; express The conjugate transpose of represents the target response matrix.

[0025] like Figure 2 As shown in the figure, based on the downlink imperfect channel state information, user communication information and radar perception mutual information, the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power are determined. Specifically: Based on the downlink imperfect channel state information, user communication information and radar perception mutual information, the optimization problem that optimizes the communication energy efficiency is determined. The optimization problem that optimizes the communication energy efficiency is expressed as: ; ; ; ; ; ; ; . in: K Indicates the number of users; M represents the number of reflective units on the reconfigurable smart surface; Indicates user k The communication signal to interference plus noise ratio at represents the radar sensing mutual information at the target base station; express The conjugate transpose of represents the equivalent link of the downlink; express The conjugate transpose of represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; represents the phase of the reflective unit on the reconfigurable smart surface, Reconfigurable smart surface m The phase of the reflection unit; It means finding the trace of a matrix; It means to find the rank of the matrix; Indicates the interference caused by channel estimation error and user k The sum of additive white Gaussian noise at ; Indicates additional power consumption; Indicates the maximum transmit power of the target base station; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; Represents the minimum radar perception mutual information required by the radar.

[0026] Based on the optimization problem, semi-definite relaxation, Dinkelbach and continuous convex approximation algorithms are used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface, including: Based on the optimization problem, the semi-positive definite relaxation algorithm and the Dinkelbach algorithm are used to determine the beamforming matrix that forms the best beam for communication energy efficiency, including: Under the condition of a given reconfigurable smart surface phase shift, the beamforming matrix is ​​optimized to obtain the first optimization problem, which is expressed as: ; ; ; ; ; ; . in: Indicated Conjugate transpose, represents the target response matrix; express The conjugate transpose of ; represents a threshold value, ; Use the CVX toolbox to solve the first optimization problem and get the optimized and , , the optimal communication beamforming vector is calculated by the following formula:

[0027] ; represents the optimal communication beamforming vector; according to , calculated ; based on and , by combining , the best transmit precoding can be achieved; represents the beamforming matrix; , represents the i-th beamforming matrix excluding the user; The dimension is The communication beamforming matrix, express The conjugate transpose of The dimension is Radar beam forming matrix; Indicates the number of base station transmitting antennas, K Indicates the number of users, Indicates The beamforming matrix of rows; Based on the optimization problem, the continuous convex approximation algorithm is used to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency, including: Under the condition of a given beamforming matrix, the reconfigurable smart surface phase shift matrix is ​​optimized, and the second optimization problem is obtained. The second optimization problem is expressed as: ; ; ; . in: A negative value represents the communication energy efficiency; The conjugate transpose of , A phase shift matrix representing the reconfigurable smart surface; express The conjugate transpose of Represents the value of the expansion point based on the first-order Taylor algorithm; Indicates user k exist Communication energy efficiency value at point express The conjugate transpose of Represented by the matrix Take out in order M elements as a row of the new matrix, Represents a dimension The matrix of ; express The conjugate transpose of , Represents vectorized operations; , represents the Kroneck product, express The conjugate transpose of represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the target; Represents the first m The phase of the reflection unit; Indicates the number of detected targets; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; represents a threshold value, , represents the minimum radar perception mutual information required for radar perception; represents the variance of the additive Gaussian white noise at the reconfigurable smart surface; represents the second term of the first-order Taylor expansion; represents the restriction coefficient, ; represents the channel estimation error, interference and userk The sum of additive white Gaussian noise at ; and It represents the result after the convexification of the user communication signal and the interference plus noise ratio constraint; ; ; express The conjugate transpose of ; Using CVX toolbox to solve the optimal phase shift of reconfigurable smart surface with the best energy efficiency ; The target base station transmits a beam according to the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0028] In order to verify the superiority of the method proposed in this embodiment, a comparative experiment is conducted between the existing algorithm and the method proposed in this embodiment: The existing algorithm is: Non-optimized energy efficiency algorithm, non-optimized energy efficiency algorithm without RIS assistance, continuous convex approximation algorithm (SCA) combined with water filling-zero-forcing (WZF) optimization algorithm, and continuous convex approximation algorithm (SCA) combined with water filling-minimum mean square error (WMMSE) optimization algorithm; Construct a reconfigurable intelligent surface (RIS) assisted ISAC system. The location coordinates of the target base station are (0,0), the location coordinates of the reconfigurable intelligent surface (RIS) are (50,100), the user's location range is within a circle with a radius of 2m and a center coordinate (50,0), and the location range of the signal receiving target is within a circle with a radius of 2m and a center coordinate (100,50); where: , , , , convergence tolerance ; The communication link obeys the Rice fading channel, and the channel estimation error obeys ; Reconfigurable smart surface (RIS) k Take the channel between as an example: ; in, Reconfigurable smart surface (RIS) and user k The communication channels between Reconfigurable smart surface (RIS) and user k The path loss between represents the Rice factor; Reconfigurable smart surface (RIS) and user k Line-of-Sight (LoS) links between Reconfigurable smart surface (RIS) and user k Non-line-of-sight (NLOS) links between Reconfigurable Smart Surface (RIS) to users k The channel state information error of like Figure 3 As shown, the communication energy efficiency (EE) value obtained by the method proposed in this embodiment is the highest, and when comparing the solution with RIS introduced and the solution without RIS introduced, it can be clearly seen that the introduction of RIS brings a higher degree of freedom to the system. This additional degree of freedom enables the system to manage and utilize resources more effectively, thereby achieving a higher energy efficiency value.

[0029] Example 2 A reconfigurable intelligent surface-assisted synaesthesia integrated beam control device, comprising: An acquisition module, used to acquire downlink imperfect channel state information, user communication information and radar perception mutual information at the target base station according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface; A calculation module is used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meets the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power based on downlink imperfect channel state information, user communication information and radar perception mutual information; The processing module is used to control the target base station transmission beam according to the best energy efficiency beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0030] Example 3 A computer readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following method steps are implemented: According to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface, the downlink imperfect channel state information, the user communication information and the radar sensing mutual information at the target base station are obtained; Based on the downlink imperfect channel state information, user communication information and radar perception mutual information, the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information are determined under limited transmission power; The target base station transmits a beam according to the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

[0031] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0032] The present application is described with reference to the flowcharts of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process in the flowchart can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0033] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A function specified in a process or multiple processes.

[0034] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 The steps of a specified function in a process or multiple processes.

[0035] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which all fall within the protection of the present invention.

Claims

1. A reconfigurable intelligent surface-assisted synaesthesia integrated beam control method, characterized in that: include: According to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface, the downlink imperfect channel state information, the user communication information and the radar sensing mutual information at the target base station are obtained; Based on the downlink imperfect channel state information, user communication information and radar perception mutual information, the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information are determined under limited transmission power; The target base station transmits a beam according to the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

2. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 1 is characterized in that: The step of obtaining downlink imperfect channel state information and user communication information according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface includes: The target base station's transmission signal is expressed as , ; in: represents the beamforming matrix, represents the transmitted symbol vector; The received signal at the user in the downlink is expressed as: ； in: Indicates the number of users in the downlink k The received signal at Indicates the number of base station transmitting antennas, K Indicates the number of users; represents conjugate transpose; express The conjugate transpose of Indicates the target base station to the user k communication channels; express The diagonal matrix and The product of , Indicates the construction of a diagonal matrix; express The conjugate transpose of Representing reconfigurable smart surfaces to users k communication channels; H express The conjugate transpose of represents the channel from the target base station to the reconfigurable smart surface; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; Indicates user The beamforming matrix is Indicates that except user In addition beamforming matrices; Indicates user k Communication symbol vector, Indicates that except user In addition symbol vector; Indicates user k The additive Gaussian white noise at , with variance is ; Since there are errors in the channel state information, the downlink imperfect channel state information can be expressed as: ； ； in: represents the estimated value of the channel between the base station and the user, represents the channel error between the base station and the user, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the user, represents the channel error from the base station to the reconfigurable smart surface and then to the user, obey , express The corresponding variance; The user communication information includes the communication signal at the user and the interference plus noise ratio. The communication signal at the user and the interference plus noise ratio are expressed as: ； in: Indicates user k The communication signal to interference plus noise ratio at Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; It means finding the trace of a matrix; express The conjugate transpose of represents the equivalent link of the downlink, ; express The conjugate transpose of .

3. The reconfigurable intelligent surface assisted synaesthesia integrated beam control method according to claim 1, characterized in that: The step of acquiring radar sensing mutual information at the target base station according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface comprises: According to the transmission signal of the target base station and the reflected signal of the reconfigurable smart surface, the received signal at the target base station is calculated by the following formula: ； in: represents a received signal at a target base station; Indicates the number of detected targets, represents conjugate transpose; express The conjugate transpose of ; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the target; ； represents the actual value of the channel from the base station to the reconfigurable smart surface and then to the target, , It means constructing a diagonal matrix. express The diagonal matrix and H The product of express The conjugate transpose of represents the channel from the reconfigurable smart surface to the target, H express The conjugate transpose of ; represents the channel error from the base station to the reconfigurable smart surface and then to the target, obey , represents a Gaussian distribution, express The corresponding variance, represents the identity matrix; Indicates the transmission signal of the target base station; represents the additive Gaussian white noise at the reconfigurable smart surface, with a variance of ; According to the received signal at the target base station, the radar perception mutual information at the target base station is calculated by the following formula: ； in: represents the radar sensing mutual information at the target base station; express The conjugate transpose of represents the target response matrix; represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix, , express The conjugate transpose of ; It means to find the trace of a matrix.

4. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 1, characterized in that: The method of determining the optimal energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meet the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power based on the downlink imperfect channel state information, user communication information and radar perception mutual information includes: Determine the optimization problem that optimizes communication energy efficiency based on downlink imperfect channel state information, user communication information and radar sensing mutual information; Based on the optimization problem, semi-definite relaxation, Dinkelbach and continuous convex approximation algorithms are used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

5. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 4 is characterized in that: The optimization problem of optimizing communication energy efficiency is expressed as: ； ； ； ； ； ； ； . in: K Indicates the number of users; M represents the number of reflective units on the reconfigurable smart surface; Indicates user k The communication signal to interference plus noise ratio at represents the sensing mutual information at the target base station; express The conjugate transpose of represents the equivalent link of the downlink; express The conjugate transpose of represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; represents the phase of the reflective unit on the reconfigurable smart surface, Reconfigurable smart surface m The phase of the reflection unit; It means finding the trace of a matrix; It means to find the rank of the matrix; Indicates the interference caused by channel estimation error and user k The sum of additive white Gaussian noise at ; Indicates additional power consumption; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; express The conjugate transpose of represents the target response matrix; represents the minimum radar perception mutual information required by the radar; Indicates the maximum transmit power of the target base station.

6. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 4 is characterized in that: The optimization problem is based on the use of semi-positive relaxation, Dinkelbach algorithm and continuous convex approximation algorithm to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface, including: Based on the optimization problem, the semi-positive definite relaxation algorithm and the Dinkelbach algorithm are used to determine the beamforming matrix that forms the best beam for communication energy efficiency; According to the beamforming matrix for forming the best beam for communication energy efficiency, a transmit precoding of the best beamforming strategy for communication energy efficiency is obtained; Based on the optimization problem, a continuous convex approximation algorithm is used to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency.

7. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 6, characterized in that: The method of determining a beamforming matrix for forming a beam with optimal communication energy efficiency by using a semi-positive definite relaxation algorithm and a Dinkelbach algorithm based on an optimization problem includes: Under the condition of a given reconfigurable smart surface phase shift, the beamforming matrix is ​​optimized to obtain the first optimization problem, which is expressed as: ； ； ； ； ； ； . in: K Indicates the number of users; express The conjugate transpose of represents an equivalent link of a communication link; express The conjugate transpose of represents the product of the beamforming matrix and the conjugate transpose of the beamforming matrix; Indicates user k Communication beamforming matrix and user k The product of the conjugate transpose of the communication beamforming matrix; It means finding the trace of a matrix; It means to find the rank of the matrix; express The conjugate transpose of represents the target response matrix; represents the variance of the additive Gaussian white noise at the reconfigurable smart surface; Indicates the maximum transmit power of the base station; Indicates additional power consumption; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; represents the channel estimation error, interference and user k The sum of additive white Gaussian noise at ; , represents a threshold value, represents the minimum radar perception mutual information required by the radar; The first optimization problem is solved to obtain a beamforming matrix that forms a beam with optimal communication energy efficiency.

8. The reconfigurable intelligent surface-assisted synaesthesia integrated beam control method according to claim 6, characterized in that: The method of obtaining the optimal phase shift of the reconfigurable smart surface with the best energy efficiency by using a continuous convex approximation algorithm based on the optimization problem includes: Under the condition of a given beamforming matrix, the reconfigurable smart surface phase shift matrix is ​​optimized, and the second optimization problem is obtained. The second optimization problem is expressed as: ； ； ； . in: A negative value representing communication energy efficiency; K Indicates the number of users; M represents the number of reflective units on the reconfigurable smart surface; express The conjugate transpose of A phase shift matrix representing the reconfigurable smart surface; express The conjugate transpose of Represents the value of the expansion point based on the first-order Taylor algorithm; Indicates user k exist Communication energy efficiency value at point express The conjugate transpose of Represented by the matrix Take out in order M elements as a row of the new matrix, Represents a dimension Matrix of Reconfigurable smart surface m The phase of the reflection unit; Indicates the number of detected targets; Indicates user k The minimum communication signal to interference plus noise ratio required for communication; represents a threshold value, represents the minimum perceptual mutual information required for radar perception; represents the variance of the additive Gaussian white noise at the reconfigurable smart surface; represents the second term of the first-order Taylor expansion; represents the restriction coefficient, ; represents the L2 norm; represents the channel estimation error, interference and user k The sum of the additive white Gaussian noise at and It represents the result after the convexification of the user communication signal and the interference plus noise ratio constraint; represents the estimated value of the channel between the base station and the user, represents the estimated value of the channel from the base station to the reconfigurable smart surface and then to the user; The second optimization problem is solved to obtain the optimal phase shift of the reconfigurable smart surface with the best energy efficiency.

9. A reconfigurable intelligent surface-assisted synaesthesia integrated beam control device, characterized in that: include: An acquisition module, used to acquire downlink imperfect channel state information, user communication information and radar perception mutual information at the target base station according to the transmission signal of the target base station and the reflection signal of the reconfigurable smart surface; A calculation module is used to determine the best energy-efficient beamforming strategy and the optimal phase shift of the reconfigurable smart surface that meets the minimum user required communication signal to interference plus noise ratio and radar perception mutual information under limited transmission power based on downlink imperfect channel state information, user communication information and radar perception mutual information; The processing module is used to control the target base station transmission beam according to the best energy efficiency beamforming strategy and the optimal phase shift of the reconfigurable smart surface.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the reconfigurable intelligent surface assisted synaesthesia integrated beam control method as claimed in any one of claims 1 to 8 is implemented.

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