Joint Beamforming for RIS Aided Full-Duplex Integrated Sensing and Uplink Communication

TL;DR

This paper proposes a joint beamforming and RIS configuration method for full-duplex integrated sensing and communication systems, demonstrating improved sensing and communication performance through an iterative optimization approach.

Contribution

It introduces a novel joint optimization framework for beamforming, RIS configuration, and power allocation in FD ISAC systems using advanced convex optimization techniques.

Findings

RIS enhances self-interference suppression and signal processing gain.

The proposed iterative solution effectively optimizes system variables.

Numerical results show significant performance improvements with RIS.

Abstract

This paper studies integrated sensing and communication (ISAC) technology in a full-duplex (FD) uplink communication system. As opposed to the half-duplex system, where sensing is conducted in a first-emit-then-listen manner, FD ISAC system emits and listens simultaneously and hence conducts uninterrupted target sensing. Besides, impressed by the recently emerging reconfigurable intelligent surface (RIS) technology, we also employ RIS to improve the self-interference (SI) suppression and signal processing gain. As will be seen, the joint beamforming, RIS configuration and mobile users' power allocation is a difficult optimization problem. To resolve this challenge, via leveraging the cutting-the-edge majorization-minimization (MM) and penalty-dual-decomposition (PDD) methods, we develop an iterative solution that optimizes all variables via using convex optimization techniques. Numerical results demonstrate the effectiveness of our proposed solution and the great benefit of employing RIS in the FD ISAC system.