期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 16, 期 -, 页码 1655-1669出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2020.3038994
关键词
Intelligent reflecting surface; physical-layer secrecy; multiple-input multiple-output (MIMO); phase shift
资金
- U.K. Engineering and Physical Sciences Research Council [EP/P008402/2, EP/P008380/1]
- Scientific and Technological Key Project of Henan Province [202102210119]
- EPSRC [EP/P008402/1, EP/P008380/1, EP/P008402/2] Funding Source: UKRI
This study investigates the impact of intelligent reflecting surface (IRS) on wireless secure transmission, introducing artificial noise (AN) to enhance secrecy performance, and proposes an optimization algorithm to maximize achievable secrecy rate through joint design of precoding, interference, and IRS phase shift.
This 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.
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