Intelligent reflecting surface aided secure MIMO wireless communication

Intelligent reflecting surface (IRS) holds tremendous potential as an efficient solution for achieving a dynamically reconfigurable wireless communication environment in a cost-efficient manner. This work explores the utilization of IRS to facilitate secure information transmission. We propose a dou...

Full description

Saved in:
Bibliographic Details
Published in:Wireless networks Vol. 31; no. 1; pp. 623 - 639
Main Authors: Gao, Hongyuan, Zhao, Lishuai, Guo, Lantu, Du, Yanan, Di, Yanqi
Format: Journal Article
Language:English
Published: New York Springer US 01.01.2025
Springer Nature B.V
Subjects:
ISSN:1022-0038, 1572-8196
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Intelligent reflecting surface (IRS) holds tremendous potential as an efficient solution for achieving a dynamically reconfigurable wireless communication environment in a cost-efficient manner. This work explores the utilization of IRS to facilitate secure information transmission. We propose a double-IRS aided secure multiple-input multiple-output communication system model and derive the expression of the secrecy rate of this system. The introduction of eavesdropper and the coupled reflection matrices pose a significant challenge towards efficiently enhancing the secrecy rate through the joint optimization of the reflection matrices of IRSs and transmission gain matrix of the base station. To solve this problem, we propose the quantum dwarf mongoose optimization algorithm, which offers superior performance compared to the comparison algorithms. Furthermore, we compare the performance achieved by the single-IRS aided scheme with the double-IRS aided scheme and the scheme without IRS. Simulation results demonstrate that the incorporation of IRS results in a substantial enhancement of the secrecy rate due to the power amplification at the legitimate receiver and the interference suppression at the eavesdropper.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1022-0038
1572-8196
DOI:10.1007/s11276-024-03782-6