Research Article
Energy-Efficient Subcarrier Allocation and Power Optimization Method for UAV Swarms
@INPROCEEDINGS{10.1007/978-3-031-86203-8_17, author={Yucong Zhang and Baoqing Zhang and Weixiao Meng}, title={Energy-Efficient Subcarrier Allocation and Power Optimization Method for UAV Swarms}, proceedings={Wireless and Satellite Systems. 14th EAI International Conference, WiSATS 2024, Harbin, China, August 23--25, 2024, Proceedings, Part II}, proceedings_a={WISATS PART 2}, year={2025}, month={3}, keywords={Interference analysis Subcarrier allocation Resource allocation UAV swarms}, doi={10.1007/978-3-031-86203-8_17} }- Yucong Zhang
Baoqing Zhang
Weixiao Meng
Year: 2025
Energy-Efficient Subcarrier Allocation and Power Optimization Method for UAV Swarms
WISATS PART 2
Springer
DOI: 10.1007/978-3-031-86203-8_17
Abstract
In recent years, the increasing deployment of unmanned aerial vehicles (UAVs) has highlighted their adaptability and operational flexibility, gaining substantial interest across academia and industry. Nonetheless, interference within UAV swarms has emerged as a critical challenge that could potentially hinder further performance enhancements. To address this issue, this paper introduces a robust interference management and resource optimization framework. Initially, the study develops a comprehensive model that simultaneously addresses the impact of interference from both establishing new links and affecting existing ones. This paper also presents a strategy for optimal subcarrier selection aimed at minimizing deterministic interference and delineates the threshold number of carriers needed for interference-free operations. Additionally, it outlines an innovative power allocation scheme to further enhance system efficiency. Simulation results confirm that the proposed subcarrier allocation strategy significantly outperforms conventional approaches in terms of energy efficiency and throughput, marking a notable advancement in UAV communication systems. This paper’s findings promise to refine operational protocols and optimize UAV network performance, presenting a pivotal step towards mitigating interference in UAV swarms.
