NOMA for Integrating Sensing and Communications towards 6G: A Multiple Access Perspective

TL;DR

This paper explores the use of non-orthogonal multiple access (NOMA) techniques to enhance integrated sensing and communications (ISAC) for 6G, proposing novel designs for uplink and downlink scenarios and demonstrating their advantages.

Contribution

It introduces new NOMA-based ISAC designs for both uplink and downlink, including semi-NOMA approaches, advancing the integration of sensing and communication functionalities.

Findings

NOMA-empowered downlink ISAC effectively manages interference.

Pure-NOMA uplink design employs fixed SIC order for sensing and communication.

Semi-NOMA uplink offers flexible resource allocation between sensing and communication.

Abstract

This article focuses on the development of integrated sensing and communications (ISAC) from a multiple access (MA) perspective, where the idea of non-orthogonal multiple access (NOMA) is exploited for harmoniously accommodating the sensing and communication functionalities. We first reveal that the developing trend of ISAC is from \emph{orthogonality} to \emph{non-orthogonality}, and introduce the fundamental models of the downlink and uplink ISAC while identifying the design challenges from the MA perspective. (1) For the downlink ISAC, we propose two novel designs, namely \emph{NOMA-empowered} downlink ISAC and \emph{NOMA-inspired} downlink ISAC to effectively coordinate the inter-user interference and the sensing-to-communication interference, respectively. (2) For the uplink ISAC, we first propose a \emph{pure-NOMA-based} uplink ISAC design, where a fixed communication-to-sensing successive interference cancellation order is employed for distinguishing the mixed sensing-communication signal received over the fully shared radio resources. Then, we propose a general \emph{semi-NOMA-based} uplink ISAC design, which includes the conventional orthogonal multiple access-based and pure-NOMA-based uplink ISAC as special cases, thus being capable of providing flexible resource allocation strategies between sensing and communication. Along each proposed NOMA-ISAC design, numerical results are provided for showing the superiority over conventional ISAC designs.