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Trajectory Design and Power Allocation for Drone-Assisted NR-V2X Network with Dynamic NOMA/OMA

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Document pages: 16 pages

Abstract: In this paper, we find trajectory planning and power allocation for avehicular network in which an unmanned-aerial-vehicle (UAV) is considered as arelay to extend coverage for two disconnected far vehicles. We show that in atwo-user network with an amplify-and-forward (AF) relay,non-orthogonal-multiple-access (NOMA) always has better or equal sum-rate incomparison to orthogonal-multiple-access (OMA) at high signal-to-noise-ratio(SNR) regime. However, for the cases where i) base station (BS)-to-relay linkis weak, or ii) two users have similar links, or iii) BS-to-relay link issimilar to relay-to-weak user link, applying NOMA has negligible sum-rate gain.Hence, due to the complexity of successive-interference-cancellation (SIC)decoding in NOMA, we propose a dynamic NOMA OMA scheme in which OMA mode isselected for transmission when applying NOMA has only negligible gain. Also, weshow that OMA always has better min-rate than NOMA at high SNR regime. Further,we formulate two optimization problems which maximize the sum-rate and min-rateof the two vehicles. These problems are non-convex, and hence we propose aniterative algorithm based on alternating-optimization (AO) method which solvestrajectory and power allocation sub-problems by successive-convex-approximation(SCA) and difference-of-convex (DC) methods, respectively. Finally, theabove-mentioned performance is confirmed by simulations.

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