Secrecy Rate Optimization for Intelligent Reflecting Surface Assisted MIMO System

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) system enhance secrecy performance, and artificial noise (AN) employed introduce interference degrade reception eavesdropper. To improve we aim maximize achievable rate, subject transmit power constraint, by jointly designing precoding transmission, AN jamming, phase shift IRS. We first propose alternative optimization algorithm (i.e., block coordinate descent (BCD) algorithm) tackle non-convexity formulated problem. made deriving matrices via Lagrange dual method shifts Majorization-Minimization (MM) algorithm. Our analysis reveals that proposed BCD converges in a monotonically non-decreasing manner which leads guaranteed optimal solution. Finally, provide numerical results validate performance enhancement scheme comparison benchmark schemes.