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Joint optimization for throughput fairness maximization in laser-powered UAV communications
Guolong Zhang1, Qian Dan1, Yutian Zhang1
1Jiangxi University of Chinese Medicine, Nanchang, China.
Plos One
|July 28, 2026
Summary
This study optimizes laser communication for UAVs by managing scheduling, power, and trajectory. The developed algorithm ensures fast, stable convergence for improved ground node throughput.
Area of Science:
- Engineering
- Computer Science
- Telecommunications
Background:
- Unmanned Aerial Vehicle (UAV) communication systems are crucial for various applications.
- Laser-powered communication offers high bandwidth potential but faces challenges in optimizing performance.
- Ensuring equitable throughput among ground nodes is a key performance metric.
Purpose of the Study:
- To develop an efficient optimization strategy for laser-powered UAV communication systems.
- To maximize the minimum throughput experienced by ground nodes.
- To jointly optimize communication scheduling, transmit power, and UAV trajectory.
Main Methods:
- The problem of maximizing minimum throughput was formulated as a non-convex optimization problem.
- The non-convex problem was decomposed into three manageable subproblems.
- Successive convex approximation and iterative techniques were employed to solve the subproblems.
Main Results:
- The proposed algorithm demonstrated fast convergence.
- The algorithm exhibited stable convergence characteristics.
- Simulation results validated the effectiveness of the optimization approach.
Conclusions:
- The joint optimization of scheduling, power, and trajectory is effective for laser-powered UAV communication.
- The proposed iterative method provides an efficient solution for maximizing minimum throughput.
- The algorithm is suitable for practical deployment due to its fast and stable convergence.
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