电讯技术2025，Vol.65Issue(6)：848-854,7.DOI:10.20079/j.issn.1001-893x.241011001
一种能效最大化的无人机航迹强化学习优化方法
A UAV Trajectory Optimization Method by Energy Efficiency Maximization Based on Reinforcement Learning
摘要
Abstract
For the unmanned aerial vehicle(UAV)wireless communication problem with limited energy consumption in complex application scenarios,a trajectory optimization model with taking into account the flight dynamics constraints of UAVs is proposed.The model considers both information transmission throughput and energy consumption,and uses the ratio of the two to define energy efficiency,with maximizing energy efficiency as the optimization objective.Due to the non-convexity and lack of closed form expression of the problem,the optimization problem is first discretized and then solved using reinforcement learning methods.The complexity and convergence of the algorithm are analyzed.In the given experimental scenario,numerical simulation methods are used to determine the optimal flight paths for four flight modes,including maximum energy efficiency,minimum energy consumption,straight-line flight,and Global Energy Efficiency Maximization(GREEN)flight.Through experimental comparison,it is found that the energy-efficient flight mode improves energy efficiency by 2～10 times compared with other flight modes.关键词
无人机(UAV)/航迹优化/强化学习/能效最大化Key words
unmanned aerial vehicle(UAV)/trajectory optimization/reinforcement learning/energy efficiency maximization分类
信息技术与安全科学引用本文复制引用
单博炜,曲佳源..一种能效最大化的无人机航迹强化学习优化方法[J].电讯技术,2025,65(6):848-854,7.基金项目
陕西省自然科学基础研究计划(2025JC-YBMS-790) （2025JC-YBMS-790）
