Joint Power Allocation and Passive Beamforming Design for IRS-Assisted Physical-Layer Service Integration

Intelligent reflecting surface (IRS) has emerged as an appealing solution to enhance wireless communication performance by reconfiguring the propagation environment. In this paper, we propose apply IRS physical-layer service integration (PHY-SI) system, where a single-antenna access point (AP) integrates two sorts of messages, i.e., multicast message and confidential message, via superposition coding serve multiple users. Our goal is optimize power allocation (for transmitting different messages) at AP passive beamforming maximize achievable secrecy rate region. To end, formulate problem bi-objective optimization problem, which shown equivalent maximization subject constraints on quality service. Due non-convexity customized algorithms obtain its high-quality suboptimal solutions, thereby approximately characterizing The resulting gap with globally optimal analyzed. Furthermore, provide theoretical analysis unveil impact PHY-SI. Numerical results demonstrate advantages leveraging in improving PHY-SI also validate our analysis.