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.
@article{arxiv.2112.04550,
title = {NOMA Empowered Integrated Sensing and Communication},
author = {Zhaolin Wang and Yuanwei Liu and Xidong Mu and Zhiguo Ding and Octavia A. Dobre},
journal= {arXiv preprint arXiv:2112.04550},
year = {2022}
}
Comments
14 pages, 7 figures, accepted for the publication in IEEE Communications Letters