Optimization research on rate algorithm of NOMA communication system based on UAV assistance

Aochen Shen; Guifen Chen; Guangjiao Chen

doi:10.1117/12.3033373

29 July 2024 Optimization research on rate algorithm of NOMA communication system based on UAV assistance

Aochen Shen, Guifen Chen, Guangjiao Chen

Proceedings Volume 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024); 132141S (2024) https://doi.org/10.1117/12.3033373
Event: Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 2024, Guangzhou, China

Abstract

The study proposes a transmission rate optimization method in unmanned aerial vehicle (UAV) networks based on non-orthogonal multiple access (NOMA) technique. In order to maximize the system and the rate, the study proposes a joint optimization function of resources that optimizes the associativity of the users, the bandwidth allocation of the system, the downlink power control, and the location of the UAV. Since the function solution is a complex mixed integer nonconvex optimization problem, the study proposes an iterative algorithm based on alternating and combinatorial optimization. Under an optimized user-association scheme, the optimization problem is decomposed into three sub-problems, and the Lagrangian relaxation method, successive convex approximation and logistic function approximation are sequentially applied to solve the sub-problems, respectively. Simulation results show that the algorithm proposed in this paper outperforms the original NOMA communication scheme in terms of system bandwidth and communication rate.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Aochen Shen, Guifen Chen, and Guangjiao Chen "Optimization research on rate algorithm of NOMA communication system based on UAV assistance", Proc. SPIE 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 132141S (29 July 2024); https://doi.org/10.1117/12.3033373

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