非理想CSI下IRS辅助MISO保密速率最大化方法  

IRS-Assisted MISO Secrecy Rate Maximisation Method under Imperfect CSI

作　　者：彭艺[1] 张宇[1] 杨青青[1] PENG Yi;ZHANG Yu;YANG Qingqing(Yunnan Provincial Key Laboratory of Computer Science,School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南省计算机重点实验室,昆明650500

出　　处：《吉林大学学报（理学版）》2024年第5期1203-1210,共8页Journal of Jilin University:Science Edition

基　　金：国家自然科学基金(批准号:61761025);云南省计算机重点实验室开放基金(批准号:2021102)。

摘　　要：基于智能反射面辅助多输入、单输出的安全无线通信系统,提出一种最大化系统保密速率为目标联合主被动波束形成算法.考虑非理想信道状态信息下基站发射波束成形向量和无源智能反射面相移矩阵联合优化设计问题.为解决非凸分式规划问题,通过Charnes-Cooper变换引入两个辅助变量,将单项分式问题转化为差的形式,同时采用一种交替迭代优化联合半正定松弛方法,得到易于求解的凸问题.仿真实验结果表明,该算法相比传统算法,有效提升了系统的安全性,保密性能提升10%~30%,且在一定信道状态信息误差下保密速率下降不明显,具有较强的鲁棒性.Based on the intelligent reflecting surface-assisted multi input single output(MISO)secure wireless communication system,we proposed a joint active-passive beamforming algorithm with the objective of maximizing the system secrecy rate.We considered the joint optimization design problem of beamforming vectors for base station transmission and passive intelligent reflecting surface(IRS)phase shift matrix under non-ideal channel state information.In order to solve the non-convex fractional planning problem,two auxiliary variables were introduced through Charnes-Cooper transformation to transform the single fractional problem into a difference form,at the same time,an alternating iterative optimization combined with semidefinite relaxation(SDR)method was adopted to obtain an easy-to-solve convex problem.The simulation experiment results show that compared with the traditional algorithms,the proposed algorithm effectively improves the system security,the confidentiality performance by 10%—30%,and the secrecy rate does not decrease significantly under certain channel state information error,which has strong robustness.

关 键 词：物理层安全 智能反射表面 统计信道状态信息 系统保密速率 鲁棒波束形成 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]