Paper Info
Title
Secrecy Rate Optimization for Intelligent Reflecting Surface Assisted MIMO System
Abstract
AbstractThis paper investigates the impact of intelligent reflecting surface (IRS) enabled wireless secure transmission. Specifically, an IRS is deployed to assist multiple-input multiple-output (MIMO) secure system to enhance the secrecy performance, and artificial noise (AN) is employed to introduce interference to degrade the reception of the eavesdropper. To improve the secrecy performance, we aim to maximize the achievable secrecy rate, subject to the transmit power constraint, by jointly designing the precoding of the secure transmission, the AN jamming, and the reflecting phase shift of the IRS. We first propose an alternative optimization algorithm (i.e., block coordinate descent (BCD) algorithm) to tackle the non-convexity of the formulated problem. This is made by deriving the transmit precoding and AN matrices via the Lagrange dual method and the phase shifts by the Majorization-Minimization (MM) algorithm. Our analysis reveals that the proposed BCD algorithm converges in a monotonically non-decreasing manner which leads to guaranteed optimal solution. Finally, we provide numerical results to validate the secrecy performance enhancement of the proposed scheme in comparison to the benchmark schemes.
Year
DOI
Venue
2021
10.1109/TIFS.2020.3038994
Periodicals
Keywords
DocType
Volume
Intelligent reflecting surface, physical-layer secrecy, multiple-input multiple-output (MIMO), phase shift
Journal
16
Issue
ISSN
Citations 
1
1556-6013
2
PageRank 
References 
Authors
0.36
0
8
Name
Order
Citations
PageRank
Zheng Chu147434.61
Wanming Hao217722.63
Pei Xiao345756.00
de mi41059.95
Zilong Liu5175.66
mohsen khalily6279.58
James R. Kelly720.36
Alexandros P. Feresidis820.36