Genetic Algorithm based UAV Trajectory Design in Wireless Power Transfer Systems


T. Yang, Y. Hu, X. Yuan, R. Mathar,


        In this work, we study an unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) system with multiple ground users. We aim at solving the non-convex UAV trajectory design problem which maximizes the minimal received energy among all users by determining the UAV’s flying path under given UAV speed constraints. To solve such intractable problem, we propose a genetic algorithm (GA) based successive hover-and-fly (SHF) scheme that iteratively searches the optimal hovering points and optimizes the corresponding hovering time. Moreover, we extend the study to scenarios with no-fly zones, for which an improved GA based method with a penalizing strategy is proposed accordingly. Numerical results confirm the performance advantage of the proposed GA based algorithm in comparison to the benchmark algorithms in prior works under a wide range of system parameters.

BibTEX Reference Entry 

	author = {Tianyu Yang and Yulin Hu and Xiaopeng Yuan and Rudolf Mathar},
	title = "Genetic Algorithm based UAV Trajectory Design in Wireless Power Transfer Systems",
	pages = "1-6",
	booktitle = "2019 {IEEE} Wireless Communications and Networking Conference (WCNC 2019)",
	address = {Marrakech, Morocco},
	month = Apr,
	year = 2019,
	hsb = RWTH-2019-05502,


 Download paper  Download bibtex-file

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights there in are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.