Reconfigurable Intelligent Surfaces for Energy Efficiency in Full-duplex Communication System

TL;DR

This paper proposes a joint active and passive beamforming design for RIS-assisted full-duplex communication systems to enhance energy efficiency, considering self-interference cancellation power consumption, and demonstrates superior performance through simulations.

Contribution

It introduces an iterative optimization framework combining Dinkelbach's method and convex approximation for energy-efficient beamforming in RIS-assisted FD systems.

Findings

Energy efficiency outperforms benchmarks

Joint beamforming design improves system performance

Effective handling of self-interference cancellation power consumption

Abstract

In this letter, we study the reconfigurable intelligent surfaces (RIS) aided full-duplex (FD) communication system. By jointly designing the active beamforming of two multi-antenna sources and passive beamforming of RIS, we aim to maximize the energy efficiency of the system, where extra self-interference cancellation power consumption in FD system is also considered. We divide the optimization problem into active and passive beamforming design subproblems, and adopt the alternative optimization framework to solve them iteratively. Dinkelbach's method is used to tackle the fractional objective function in active beamforming problem. Penalty method and successive convex approximation are exploited for passive beamforming design. Simulation results show the energy efficiency of our scheme outperforms other benchmarks.