Deep Learning for Secure Transmission in Reconfigurable Intelligent Surface-Assisted Communications

作     者：Junhao Fang Xiangyu Zou Chongwen Huang Zhaohui Yang Yongjun Xu Xiao Chen Jianfeng Shi Mohammad Shikh-Bahaei 

作者机构：Centre for Telecommunications ResearchDepartment of EngineeringKing’s College LondonWC2R 2LSUK National Mobile Communications Research LaboratorySoutheast UniversityNanjing 210096China College of Information Science and Electronic EngineeringZhejiang UniversityHangzhou 310027China Chongqing University of Posts and TelecommunicationsChongqing 400065China Nanjing University of Information Science and TechnologyNanjing 210044China 

出 版 物：《Journal of Communications and Information Networks》 (通信与信息网络学报（英文）)

年 卷 期：2023年第8卷第2期

页      面：122-132页

核心收录：

学科分类：0710[理学-生物学] 08[工学] 081104[工学-模式识别与智能系统] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0837[工学-安全科学与工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：China National Key R&D Program(2021YFA1000500) National Natural Science Foundation of China(62101492) Zhejiang Provincial Natural Science Foundation of China(LR22F010002) Natural Science Foundation of Jiangsu Province of China(BK20210641) Natural Science Foundation of Jiangsu Province of China(BK20210641) Engineering and Physical Sciences Research Council(EPSRC)(EP/P022723/1) National Natural Science Foundation of China(62271094) Key Fund of Natural Science Foundation of Chongqing(CSTB2022NSCQLZX0009) Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJZD-K202200601) China Postdoctoral Science Foundation(2022MD723725)。 

主　　题：RISs physical layer security DL secure energy efficiency 

摘      要：This paper investigates the secure transmission for reconfigurable intelligent surface(RIS)-assisted wireless communication systems.In the studied model,one user connects to the access point via a RIS while an eavesdropper eavesdrops on the signal sent from the user to the access point.Therefore,it is necessary to design an appropriate RIS reflection vector to solve the eavesdropping problem.This problem is formulated as an optimization problem whose goal is to maximize the secure energy efficiency which is defined as the ratio of the secure rate to the total energy consumption of the system via jointly optimizing the RIS reflection reflector as well as the number of RIS elements,which results in a non-convex optimization problem that is intractable to solve by traditional methods.To tackle this issue,a new algorithm by leveraging the advance of the established deep learning(DL)technique is proposed so as to find the optimal RIS reflection vector and determine the optimal number of RIS reflection elements.Simulation results show that the proposed method reaches 96%of the optimal secure energy efficiency of the genie-aided algorithm.