Metaheuristic Optimization of Trajectory and Dynamic Time Splitting for UAV Communication Systems
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.
Cite
@article{arxiv.2504.20425,
title = {Metaheuristic Optimization of Trajectory and Dynamic Time Splitting for UAV Communication Systems},
author = {Trinh Van Chien and Nguyen Minh Quan and Oh-Soon Shin and Van-Dinh Nguyen},
journal= {arXiv preprint arXiv:2504.20425},
year = {2025}
}
Comments
5 pages, 5 figures. Accepted by IEEE Communications Letters