Intelligent Reflecting Surface Empowered Self-Interference Cancellation in Full-Duplex Systems

TL;DR

This paper introduces an IRS-assisted method for self-interference cancellation in full-duplex wireless systems, enhancing capacity while reducing hardware costs through joint optimization algorithms.

Contribution

It proposes novel algorithms for IRS phase shift and beamforming optimization to effectively suppress self-interference in full-duplex systems.

Findings

IRS significantly reduces self-interference.

Proposed algorithms outperform traditional methods.

Full-duplex with IRS achieves higher system capacity.

Abstract

Compared with traditional half-duplex wireless systems, the application of emerging full-duplex (FD) technology can potentially double the system capacity theoretically. However, conventional techniques for suppressing self-interference (SI) adopted in FD systems require exceedingly high power consumption and expensive hardware. In this paper, we consider employing an intelligent reflecting surface (IRS) in the proximity of an FD base station (BS) to mitigate SI for simultaneously receiving data from uplink users and transmitting information to downlink users. The objective considered is to maximize the weighted sum-rate of the system by jointly optimizing the IRS phase shifts, the BS transmit beamformers, and the transmit power of the uplink users. To visualize the role of the IRS in SI cancellation by isolating other interference, we first study a simple scenario with one downlink user and one uplink user. To address the formulated non-convex problem, a low-complexity algorithm based on successive convex approximation is proposed. For the more general case considering multiple downlink and uplink users, an efficient alternating optimization algorithm based on element-wise optimization is proposed. Numerical results demonstrate that the FD system with the proposed schemes can achieve a larger gain over the half-duplex system, and the IRS is able to achieve a balance between suppressing SI and providing beamforming gain.