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NOMA-aided Joint Communication, Sensing, and Multi-tier Computing Systems

Zhaolin WangXidong MuYuanwei LiuXiaodong XuPing Zhang
May 2022
摘要
A non-orthogonal multiple access (NOMA)-aided joint communication, sensing,and multi-tier computing (JCSMC) framework is proposed. In this framework, amulti-functional base station (BS) carries out target sensing, while providingedge computing services to the nearby users. To enhance the computationefficiency, the multi-tier computing structure is exploited, where the BS canfurther offload the computation tasks to a powerful Cloud server (CS). Thepotential benefits of employing NOMA in the proposed JCSMC framework areinvestigated, which can maximize the computation offloading capacity andsuppress the inter-function interference. Based on the proposed framework, thetransmit beamformer of the BS and computation resource allocation at the BS andthe CS are jointly optimized to maximize the computation rate subject to thecommunication-computation causality and the sensing quality constraints. Bothpartial and binary computation offloading modes are considered: 1) For thepartial offloading mode, a weighted minimum mean square error based alternatingoptimization algorithm is proposed to solve the corresponding non-convexoptimization problem. It is proved that a KKT optimal solution can be obtained;2) For the binary offloading mode, the resultant highly-coupled mixed-integeroptimization problem is first transformed to an equivalent but more tractableform. Then, the reformulated problem is solved by utilizing the alternatingdirection method of multipliers approach to obtain a nearly optimal solution.Finally, numerical results verify the effectiveness of the proposed algorithmsand the proposed NOMA-aided JCSMC framework
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