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UAV-Assisted Cooperative & Cognitive NOMA Deployment Clustering and Resource Allocation

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Document pages: 30 pages

Abstract: Cooperative and cognitive non-orthogonal multiple access (CCR-NOMA) has beenrecognized as a promising technique to overcome issues of spectrum scarcity andsupport massive connectivity envisioned in next-generation wireless networks.In this paper, we investigate the deployment of an unmanned aerial vehicle(UAV) as a relay that fairly serves a large number of secondary users in ahot-spot region. The UAV deployment algorithm must jointly account for userclustering, channel assignment, and resource allocation sub-problems. Wepropose a solution methodology that obtains user clustering and channelassignment based on the optimal resource allocations for a given UAV location.To this end, we derive closed-form optimal power and time allocations and showit delivers optimal max-min fair throughput by consuming less energy and timethan geometric programming. Based on optimal resource allocation, the optimalcoverage probability is also provided in closed-form, which takes channelestimation errors, hardware impairments, and primary network interference intoaccount. The optimal coverage probabilities are used by the proposed max-minfair user clustering and channel assignment approaches. The results show thatthe proposed method achieves 100 accuracy in more than five orders ofmagnitude less time than the optimal benchmark.

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