Secrecy Rate Analysis of Randomized Radiation for Intelligent Reflecting Surface-Aided Communication Systems

被引：3

作者：

You, Byungha ^{[1
]}

Lee, In-Ho ^{[2
]}

Jung, Haejoon ^{[1
]}

机构：

[1] Kyung Hee Univ, Dept Elect & Informat Convergence Engn, Yongin 17104, South Korea

[2] Hankyong Natl Univ, Sch Elect & Elect Engn, Anseong 17579, South Korea

来源：

IEEE COMMUNICATIONS LETTERS | 2022年 / 26卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

Array signal processing; Security; Phased arrays; Signal to noise ratio; Precoding; NOMA; Hardware; Intelligent reflecting surface (IRS); physical layer security; passive beamforming; phase shift model;

D O I：

10.1109/LCOMM.2022.3186651

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

We consider an intelligent reflecting surface (IRS)-assisted communication system as a cost-effective technique to enhance secrecy rate performance in physical-layer security (PLS) systems. In this letter, the randomized radiation (RR)-based PLS algorithm, which uses active antenna arrays to randomize the radiation pattern, is adopted in IRS through passive beamforming. We show that RR cannot be simply applied to IRS because the secrecy rate is subject to the phase-dependent amplitude variations in IRS. Therefore, we provide an exact and closed-form expression for the secrecy rate of RR using IRS. Based on the analysis, we introduce a constant phase shift into the IRS elements and identify it as a key parameter to optimize the secrecy performance through a genetic algorithm.

引用

页码：1999 / 2003

页数：5

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