Sum rate maximization for UAV assisted maritime wireless networks

Hao Jiang; Daina Chang; Jingjing Liao; Xinjian Ou; Zhen Chen; Hongming Zhang

doi:10.1117/12.3020064

23 January 2024 Sum rate maximization for UAV assisted maritime wireless networks

Hao Jiang, Daina Chang, Jingjing Liao, Xinjian Ou, Zhen Chen, Hongming Zhang

Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129780O (2024) https://doi.org/10.1117/12.3020064
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China

Abstract

In this paper, we study the sum rate maximization problem involved in an unmanned aerial vehicle (UAV)-assisted maritime wireless network. Explicitly, the quadratic transform is first applied to transform the sum rate maximization problem into a tractable one by introducing an auxiliary variable. However, the recast objective function is nondifferentiable at some points, making it hard to solve especially when using gradient based methods. In order to tackle this problem, we propose a projected steepest descent algorithm, where smoothing and normalization methods are also used. Finally, simulation results are provided for characterizing that the proposed algorithm is capable of providing an improved sum rate performance for the UAV-assisted maritime wireless network.

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

Citation Download Citation

Hao Jiang, Daina Chang, Jingjing Liao, Xinjian Ou, Zhen Chen, and Hongming Zhang "Sum rate maximization for UAV assisted maritime wireless networks", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129780O (23 January 2024); https://doi.org/10.1117/12.3020064

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