CN-122028049-A - Intelligent auxiliary safety communication method, system and device

CN122028049ACN 122028049 ACN122028049 ACN 122028049ACN-122028049-A

Abstract

The application provides an intelligent auxiliary safety communication method, system and device, and relates to the technical field of communication. Is applied to a wireless communication system, wherein a hybrid reconfigurable intelligent surface is deployed. Based on the structural information of the mixed reconfigurable intelligent surface and a communication scene, the joint optimization problem of the wireless communication system is constructed with the aim of maximizing the system security rate of the wireless communication system, wherein a base station beam forming vector is coupled with a mixed reconfigurable intelligent surface coefficient matrix, and the objective function and the unit mode length constraint are not convex, and the communication scene comprises a user, an eavesdropping object and an interference source. And (3) adopting an alternate optimization framework to decouple the joint optimization problem into two sub-problems for iterative solution, and obtaining the mixed reconfigurable intelligent surface coefficient and the base station beam forming vector of the dynamically adjustable signal propagation path corresponding to the wireless communication system, wherein the two sub-problems comprise a base station beam forming sub-problem and a mixed reconfigurable intelligent surface coefficient sub-problem. The application can ensure the communication safety.

Inventors

LIU KAI
CAO ZHIWEI
MA YAODONG
ZHANG ZHIBO
ZHAO PENG
ZHU YANBO

Assignees

北京航空航天大学

Dates

Publication Date: 20260512
Application Date: 20260128

Claims (10)

1. The intelligent auxiliary safety communication method is characterized by being applied to a wireless communication system, wherein a mixed reconfigurable intelligent surface is deployed in the wireless communication system, elements in the mixed reconfigurable intelligent surface comprise active elements and passive elements, the active elements are used for adjusting signal amplitude and signal phase, and the passive elements are used for adjusting signal phase; The intelligent auxiliary safety communication method comprises the following steps: Constructing a joint optimization problem of the wireless communication system with the aim of maximizing a system privacy rate of the wireless communication system based on structural information of the hybrid reconfigurable intelligent surface and a communication scene, wherein variable coupling is optimized in the joint optimization problem, unit mode length constraints of an objective function and the passive element are both non-convex, the optimization variables comprise a base station beam forming vector and a hybrid reconfigurable intelligent surface coefficient matrix, and the communication scene comprises a user, an eavesdropping object and an interference source, and the interference source cooperates with the eavesdropping object; and adopting an alternate optimization framework to decouple the joint optimization problem into two sub-problems for iterative solution, and obtaining a mixed reconfigurable intelligent surface coefficient and a base station beam forming vector of a dynamically adjustable signal propagation path corresponding to the wireless communication system, wherein the two sub-problems comprise a base station beam forming sub-problem and a mixed reconfigurable intelligent surface coefficient sub-problem.
2. The intelligent assisted secure communication method of claim 1, wherein constructing the joint optimization problem of the wireless communication system with the goal of maximizing a system privacy rate of the wireless communication system based on the structural information and the communication scenario of the hybrid reconfigurable intelligent surface comprises: Constructing a mixed reconfigurable intelligent surface coefficient matrix based on the structural information of the mixed reconfigurable intelligent surface; constructing a base station beamforming vector based on the structural information and the communication scene; Based on the mixed reconfigurable intelligent surface coefficient matrix and the base station beam forming vector, a user side signal model and an interception object side signal model are constructed, wherein the user side signal model comprises base station signals, interference source interference and noise, and the interception object side signal model only comprises base station signals and noise.
3. The intelligent assisted secure communication method according to claim 1 or 2, characterized in that in the iterative solving process, after fixing the mixed reconfigurable intelligent surface coefficients, the base station beam forming sub-problem is converted into a convex problem by adopting a semi-definite relaxation and continuous convex approximation technology to obtain a suboptimal base station beam forming vector, and after fixing the base station beam forming vector, the mixed reconfigurable intelligent surface coefficient sub-problem is solved by adopting a continuous convex approximation technology, wherein the continuous convex approximation technology approximates the objective function to a linear objective function in each inner loop and relaxes the unit modular length constraint.
4. The intelligent assisted secure communication method of claim 3 wherein said converting the base station beamforming sub-problem to a convex problem using semi-definite relaxation and continuous convex approximation techniques to obtain a suboptimal base station beamforming vector comprises: converting the base station beam forming sub-problem into a relaxation problem by adopting a semi-definite relaxation technology; converting the objective function into an equivalent non-fractional form of the objective function by adopting Cha Ensi-Cookie transformation technology; Converting the unit modular length constraint into an inequality by adopting a penalty method, and converting an equivalent non-fractional form of the objective function into the objective function containing penalty terms based on the inequality; Performing first-order Taylor expansion on the objective function containing the penalty term by adopting a continuous convex approximation technology, and converting the base station beam forming sub-problem into a convex problem based on the objective function after the first-order Taylor expansion so as to obtain a suboptimal base station beam matrix; and converting the suboptimal base station beam matrix into suboptimal base station beam forming vectors by adopting a eigenvalue decomposition technology.
5. The intelligent assisted secure communication method of claim 3, wherein said solving the hybrid reconfigurable intelligent surface coefficient sub-problem using a continuous convex approximation technique comprises: converting the objective function into a power-dependent objective function according to the fixed base station beamforming vector; reconstructing the mixed reconfigurable intelligent surface coefficient variable to be optimized into a real number vector, wherein the real number vector comprises amplitude and phase; equivalently recording the objective function of the power correlation as the objective function of the real number vector, and solving the partial derivatives of the amplitude and the phase corresponding to the objective function of the real number vector; according to the partial derivative, performing first-order Taylor expansion on the objective function of the real variable by adopting a continuous convex approximation technology so as to convert the objective function of the real variable into a convex function; relaxing the unit mode length constraint, and converting the unit mode length constraint into a convex constraint; and solving the mixed reconfigurable intelligent surface coefficient sub-problem by adopting a convex optimization solver based on the convex function and the convex constraint.
6. The intelligent assisted secure communication method according to claim 1 or 2, wherein the step of using an alternate optimization framework to decouple the joint optimization problem into two sub-problem iterative solutions to obtain a mixed reconfigurable intelligent surface coefficient and a base station beamforming vector of a dynamically adjustable signal propagation path corresponding to the wireless communication system comprises: In the iterative solving process, if a base station beam forming sub-problem meets a first iterative convergence condition, fixing a base station beam forming vector obtained by solving the base station beam forming sub-problem, and solving a mixed reconfigurable intelligent surface coefficient sub-problem, wherein the first iterative convergence condition is an internal iterative convergence condition of the base station beam forming sub-problem; Triggering the iterative solution of the base station beam forming sub-problem if the base station beam forming sub-problem does not meet the first iterative convergence condition, and/or triggering the iterative solution of the hybrid reconfigurable intelligent surface coefficient sub-problem if the hybrid reconfigurable intelligent surface coefficient sub-problem does not meet the second iterative convergence condition; And outputting mixed reconfigurable intelligent surface coefficients and base station beam forming vectors capable of dynamically adjusting signal propagation paths when the convergence or alternation optimization times of the objective function exceed a preset threshold value.
7. An intelligent auxiliary safety communication device is characterized by being applied to a wireless communication system, wherein a mixed reconfigurable intelligent surface is deployed in the wireless communication system, elements in the mixed reconfigurable intelligent surface comprise active elements and passive elements, the active elements are used for adjusting signal amplitude and signal phase, and the passive elements are used for adjusting signal phase; The intelligent auxiliary safety communication device includes: a building module, configured to build a joint optimization problem of the wireless communication system with a goal of maximizing a system privacy rate of the wireless communication system based on structural information of the hybrid reconfigurable intelligent surface and a communication scene, in which an optimization variable is coupled and unit mode length constraints of an objective function and the passive element are both non-convex, the optimization variable includes a base station beamforming vector and a hybrid reconfigurable intelligent surface coefficient matrix, the communication scene includes a user, an eavesdropping object, and an interference source, and the interference source cooperates with the eavesdropping object; And the processing module is used for adopting an alternative optimization framework to decouple the joint optimization problem into two sub-problems for iterative solution to obtain the mixed reconfigurable intelligent surface coefficient and the base station beam forming vector of the dynamically adjustable signal propagation path corresponding to the wireless communication system, wherein the two sub-problems comprise a base station beam forming sub-problem and a mixed reconfigurable intelligent surface coefficient sub-problem.
8. An intelligent auxiliary safety communication device is characterized by comprising a memory and a processor; The memory stores computer-executable instructions; The processor executing computer-executable instructions stored in the memory, causing the processor to perform the method of any one of claims 1 to 6.
9. A wireless communication system, comprising: a hybrid reconfigurable smart surface, the elements in the hybrid reconfigurable smart surface comprising active elements for adjusting signal amplitude and signal phase and passive elements for adjusting signal phase; and, an intelligent auxiliary secure communications device as claimed in claim 8.
10. The wireless communication system of claim 9, wherein the number of active elements is less than the number of passive elements in the hybrid reconfigurable intelligent surface.

Description

Intelligent auxiliary safety communication method, system and device Technical Field The present application relates to the field of communications technologies, and in particular, to an intelligent auxiliary secure communication method, system, and apparatus. Background The rapid development of wireless communication technology has revolutionized the manner of transmitting and receiving information, but at the same time, people are paying more attention to the security and reliability of wireless networks. In wireless communications, the broadcast nature of the wireless medium makes it vulnerable to various security threats, of which eavesdropping is a major threat, compromising the confidentiality and integrity of the wireless communications. To address this challenge, reconfigurable smart surfaces (Reconfigurable Intelligent Surface, RIS) are proposed as a potential technique to enhance physical layer Security (PHYSICAL LAYER Security, PLS) that reconfigure electromagnetic responses without complex hardware changes and can manipulate the propagation environment to improve signal quality and Security. In the related art, active beam forming design in wireless communication is mainly assisted by a passive RIS, and the power and the direction of a base station transmitting signal are adjusted based on a designed beam forming vector so as to inhibit eavesdropping, so that safe communication is realized. However, this secure communication method still has a problem of poor communication security. Disclosure of Invention The application provides an intelligent auxiliary safety communication method, system and device, which are used for guaranteeing communication safety. In a first aspect, the present application provides an intelligent auxiliary secure communication method, applied to a wireless communication system, in which a hybrid reconfigurable intelligent surface is deployed, where elements in the hybrid reconfigurable intelligent surface include active elements for adjusting signal amplitude and signal phase and passive elements for adjusting signal phase. The intelligent auxiliary safety communication method comprises the following steps: Based on the structural information of the mixed reconfigurable intelligent surface and a communication scene, aiming at maximizing the system security rate of the wireless communication system, constructing a joint optimization problem of the wireless communication system, wherein variable coupling is optimized in the joint optimization problem, unit mode length constraints of an objective function and a passive element are all non-convex, the optimization variable comprises a base station beam forming vector and a mixed reconfigurable intelligent surface coefficient matrix, the communication scene comprises a user, an eavesdropping object and an interference source, and the interference source cooperates with the eavesdropping object; and (3) adopting an alternate optimization framework to decouple the joint optimization problem into two sub-problems for iterative solution, and obtaining the mixed reconfigurable intelligent surface coefficient and the base station beam forming vector of the dynamically adjustable signal propagation path corresponding to the wireless communication system, wherein the two sub-problems comprise a base station beam forming sub-problem and a mixed reconfigurable intelligent surface coefficient sub-problem. In one possible implementation, constructing a joint optimization problem for a wireless communication system based on structural information of a hybrid reconfigurable intelligent surface and a communication scenario with the goal of maximizing a system privacy rate of the wireless communication system, includes: constructing a mixed reconfigurable intelligent surface coefficient matrix based on the structural information of the mixed reconfigurable intelligent surface; Constructing a base station beam forming vector based on the structural information and the communication scene; Based on the mixed reconfigurable intelligent surface coefficient matrix and the base station beam forming vector, a user side signal model and an interception object side signal model are constructed, wherein the user side signal model comprises base station signals, interference of an interference source and noise, and the interception object side signal model only comprises the base station signals and the noise; based on the user end signal model and the eavesdropping object end signal model, the joint optimization problem of the wireless communication system is built with the aim of maximizing the system security rate of the wireless communication system. In one possible implementation, in the iterative solution process, after fixing the mixed reconfigurable intelligent surface coefficients, the base station beam forming sub-problem is converted into a convex problem by adopting a semi-definite relaxation and continuous convex approximation technology t