NOMA Empowered Integrated Sensing and Communication

Abstract

A non-orthogonal multiple access (NOMA) empowered integrated sensing and communication (ISAC) framework is investigated. A dual-functional base station serves multiple communication users employing NOMA, while the superimposed NOMA communication signal is simultaneously exploited for target sensing. A beamforming design problem is formulated to maximize the weighted sum of the communication throughput and the effective sensing power. To solve this problem, an efficient double-layer penalty-based algorithm is proposed by invoking successive convex approximation. Numerical results show that the proposed NOMA-ISAC outperforms the conventional ISAC in the underloaded regime experiencing highly correlated channels and in the overloaded regime.

arXiv comment14 pages, 7 figures, accepted for the publication in IEEE Communications Letters

References in corpus (4)

• Joint Transmit Beamforming for Multiuser MIMO Communication and MIMO Radar
• Towards Dual-functional Radar-Communication Systems: Optimal Waveform Design
• Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G
• NOMA-Aided Joint Radar and Multicast-Unicast Communication Systems

Cited by in corpus (7)

• NOMA for Integrating Sensing and Communications towards 6G: A Multiple Access Perspective
• NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems
• Adaptive Digital Twin for UAV-Assisted Integrated Sensing, Communication, and Computation Networks
• A Survey on Applications of Cache-Aided NOMA
• Physical Layer Security for Integrated Sensing and Communication: A Survey
• Integrated Communication and RIS-aided Track-Before-Detect Radar Sensing
• Waveform Design for Partial-Time Superimposed ISAC Systems