Joint optimization for throughput fairness maximization in laser-powered UAV communications

G Guolong Zhang Q Qian Dan Y Yutian Zhang (Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering)

Abstract

This paper investigates a laser-powered UAV communication system. To maximize the minimum throughput among ground nodes, we jointly optimize communication scheduling, transmit power, and UAV trajectory. The resulting non-convex problem is decomposed into three subproblems and solved via successive convex approximation and iterative techniques. The simulation results show that our algorithm has fast and stable convergence.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 21, Issue 7
Published July 28, 2026
Pages e0354743
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (3)

G

Guolong Zhang

Q

Qian Dan

Y

Yutian Zhang

Key Laboratory for Advanced Materials and Joint International Research Laboratory of Precision Chemistry and Molecular Engineering, Feringa Nobel Prize Scientist Joint Research Center, Frontiers Science Center for Materiobiology and Dynamic Chemistry, Institute of Fine Chemicals, School of Chemistry and Molecular Engineering