Paper Info
Title
Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications.
Abstract
We investigate transmission optimization for intelligent reflecting surface (IRS) assisted multi-antenna systems from the physical-layer security perspective. The design goal is to maximize the system secrecy rate subject to the source transmit power constraint and the unit modulus constraints imposed on phase shifts at the IRS. To solve this complicated non-convex problem, we develop an efficient alternating algorithm where the solutions to the transmit covariance of the source and the phase shift matrix of the IRS are achieved in closed form and semi-closed form, respectively. The convergence of the proposed algorithm is guaranteed theoretically. Simulation results validate the performance advantage of the proposed optimized design.
Year
DOI
Venue
2019
10.1109/LCOMM.2019.2924214
IEEE Communications Letters
Keywords
Field
DocType
Intelligent reflecting surface (IRS),multi-antenna communications,physical-layer security,secrecy rate
Convergence (routing),Mathematical optimization,Transmitter power output,Matrix (mathematics),Secrecy,Mathematics,Maximization,Covariance,Phase (waves)
Journal
Volume
Issue
ISSN
abs/1905.10075
9
1089-7798
Citations 
PageRank 
References 
54
1.11
0
Authors
5
Name
Order
Citations
PageRank
Hong Shen110410.02
Wei Xu212110.14
Shulei Gong3742.86
Zhenyao He4572.52
Chunming Zhao567164.30