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

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.

Authors

Publication Details

Journal
PLoS ONE
Published
2026-07-28
DOI
https://doi.org/10.1371/journal.pone.0354743
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

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

Qian Dan, Yutian Zhang, Guolong Zhang
PLoS ONE
UAV Applications and Optimization
article

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

Qian Dan, Yutian Zhang, Guolong Zhang
article en

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.

PLoS ONEVol. 21(7)
Openalex Percentile: Top 5%
UAV Applications and Optimization
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