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Title	Joint Power And Beamforming Optimization Of Uav-Assisted Noma Networks For B5G-Enabled Smart Cities
ID_Doc	34411
Authors	Waqar N.; Hassan S.A.; Mahmood A.; Gidlund M.; Jung H.
Year	2021
Published	6G-ABS 2021 - Proceedings of the 1st ACM Workshop on Artificial Intelligence and Blockchain Technologies for Smart Cities with 6G, Part of ACM MobiCom 2021
DOI	http://dx.doi.org/10.1145/3477084.3484953
Abstract	In this paper, we consider a unmanned aerial vehicle (UAV)-enabled multiple-input single-output (MISO) non-orthogonal multiple access (NOMA) system for a smart city environment, where a multi-Antenna UAV acts as an amplify-And-forward (AF) relay to extend the coverage to several disconnected users aided by NOMA. We present an optimization problem that jointly determines the location of the UAV, optimal beamforming at the UAV and power allocation at the base station (BS), in order to maximize the system sum-rate. Due to the severe non-convexity of the problem, we decouple the problem into three sub-problems and solve them sequentially. First, the optimal location of the UAV is determined by minimizing the total path loss. Next, the UAV beamforming is solved by transforming the problem into second-order cone programming (SOCP) and finally the power allocation at the BS is determined using linear-fractional programming (LFP). The simulation results demonstrate that the proposed scheme performs better than the baseline schemes and orthogonal multiple access (OMA) scheme. © 2021 ACM.
Author Keywords	fifth-generation (5G); non-orthogonal multiple access (NOMA); unmanned aerial vehicle (UAV)

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