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arXiv · 2504.20425

Metaheuristic Optimization of Trajectory and Dynamic Time Splitting for UAV Communication Systems

Trinh Van Chien·Nguyen Minh Quan·Oh-Soon Shin·Van-Dinh Nguyen
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Abstract

The integration of unmanned aerial vehicles (UAVs) into wireless communication systems has emerged as a transformative approach, promising cost-efficient connectivity. This paper addresses the optimization of the dynamic time-splitting ratio and flight trajectory for a communication system linking a ground base station to the UAV equipped with backscatter devices (referred to as UB), and from UB to an end user. Given the inherent non-convexity of the problem, we develop two meta-heuristic-based approaches inspired by genetic algorithm and particle swarm optimization to enhance the total achievable rate while reducing computational complexity. Numerical results demonstrate the effectiveness of these meta-heuristic solutions, showcasing significant improvements in the achievable rate and computation time compared to existing benchmarks.

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Trinh Van Chien, Nguyen Minh Quan, Oh-Soon Shin, Van-Dinh Nguyen. 2025-04-29. Metaheuristic Optimization of Trajectory and Dynamic Time Splitting for UAV Communication Systems. https://arxiv.org/abs/2504.20425

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