Beamforming Design for Intelligent Reflecting Surface Aided Full-Duplex Relay Systems

Abstract

Intelligent reflecting surface (IRS)-aided wireless relaying system has aroused great interest recently due to its potential to improve the relaying performance. However, most existing works only consider the decode-and-forward (DF) relay and ignore the base station (BS) to user direct link. In this paper, we focus on an IRS-aided full-duplex (FD) amplify-and-forward (AF) relay system and study the beamforming optimization problem. Specifically, we aim to maximize the transmission rate when deploying the IRS near the relay by jointly optimizing the IRS reflection coefficients and transmit powers at the BS and relay. Then, a virtual stochastic successive convex approximation (VSSCA) algorithm is developed to solve our formulated de-terministic optimization problem efficiently. Finally, numerical results are provided to demonstrate the effectiveness of our proposed algorithm as compared to various benchmark schemes.