Reconfigurable Intelligent Surface Assisted NOMA Empowered Integrated Sensing and Communication

TL;DR

This paper introduces a novel RIS-assisted NOMA system for integrated sensing and communication, optimizing beamforming and power allocation to enhance radar sensing performance.

Contribution

It proposes a joint optimization algorithm for RIS-assisted NOMA-ISAC, improving radar beampattern gain through novel passive and active beamforming techniques.

Findings

RIS-assisted NOMA-ISAC outperforms RIS-assisted ISAC without NOMA

The proposed algorithm effectively maximizes radar beampattern gain

Joint optimization improves integrated sensing and communication performance

Abstract

This paper exploits the potential of reconfigurable intelligent surface (RIS) to improve radar sensing in a non-orthogonal multiple access (NOMA) empowered integrated sensing and communication (NOMA-ISAC) network. The objective is to maximize the minimum radar beampattern gain by jointly optimizing the active beamforming, power allocation coefficients and passive beamforming. To tackle the formulated non-convex problem, we propose an efficient joint optimization algorithm by invoking alternating optimization, successive convex approximation (SCA) and sequential rank-one constraint relaxation (SRCR) algorithm. Numerical results show that the proposed RIS assisted NOMA-ISAC system, with the aid of proposed scheme, outperforms the RIS assisted ISAC system without NOMA.