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arXiv · 2112.04550

NOMA Empowered Integrated Sensing and Communication

Zhaolin Wang·Yuanwei Liu·Xidong Mu·Zhiguo Ding·Octavia A. Dobre
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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.

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Zhaolin Wang, Yuanwei Liu, Xidong Mu, Zhiguo Ding, Octavia A. Dobre. 2021-12-08. NOMA Empowered Integrated Sensing and Communication. https://doi.org/10.1109/lcomm.2022.3140271

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