Downlink and Uplink NOMA-ISAC with Signal Alignment

TL;DR

This paper proposes a MIMO NOMA-ISAC framework with signal alignment, analyzing its downlink and uplink performance, demonstrating ISAC's superiority over FDSAC in sensing and communication efficiency.

Contribution

It introduces a novel NOMA-ISAC framework with signal alignment, analyzing multiple precoding designs and interference scenarios for enhanced sensing and communication performance.

Findings

ISAC outperforms FDSAC in sensing and communication metrics.

The proposed framework achieves broader rate regions.

High-SNR analysis reveals favorable asymptotic performance.

Abstract

Integrated Sensing and Communications (ISAC) surpasses the conventional frequency-division sensing and communications (FDSAC) in terms of spectrum, energy, and hardware efficiency, with potential for greater enhancement through integration of non-orthogonal multiple access (NOMA). Leveraging these advantages, a multiple-input multiple-output NOMA-ISAC framework is proposed in this paper, in which the technique of signal alignment is adopted. The performance of the proposed framework for both downlink and uplink is analyzed. 1) The downlink ISAC is investigated under three different precoding designs: a sensing-centric (S-C) design, a communications-centric (C-C) design, and a Pareto optimal design. 2) For the uplink case, two scenarios are investigated: a S-C design and a C-C design, which vary based on the order of interference cancellation between the communication and sensing signals. In each of these scenarios, key performance metrics including sensing rate (SR), communication rate (CR), and outage probability are investigated. For a deeper understanding, the asymptotic performance of the system in the high signal-to-noise ratio (SNR) region is also explored, with a focus on the high-SNR slope and diversity order. Finally, the SR-CR rate regions achieved by ISAC and FDSAC are studied. Numerical results reveal that in both downlink and uplink cases, ISAC outperforms FDSAC in terms of sensing and communications performance and is capable of achieving a broader rate region, clearly showcasing its superiority.