南京邮电大学学报（自然科学版）2026，Vol.46Issue(1)：39-46,8.DOI:10.14132/j.cnki.1673-5439.2026.01.005
无人机机载可见光通信网络协同部署与节能优化方法研究
Collaborative deployment and power optimization for UAV-enabled visible light communication networks
摘要
Abstract
Visible light communication(VLC)-assisted unmanned aerial vehicle(UAV)technology pro-vides flexible communication and illumination for various applications,e.g.,transportation,cultural tour-ism and emergency.However,the high mobility of UAVs and the limited onboard resources pose signifi-cant challenges to system deployment and energy efficiency optimization.This paper proposes a dual-stage sequential optimization scheme for the cooperative deployment and resource allocation of UAV-VLC networks.The scheme jointly optimizes user association,UAV trajectory planning and power allocation to construct a system energy consumption minimization model.An enhanced K-means algorithm is employed for user clustering and initial association,and a deep reinforcement learning algorithm is developed to dy-namically optimize the trajectory and power control.Under the constraints of ensuring communication and illumination quality for all ground users,simulation results demonstrate that the proposed scheme re-duces total transmission power consumption by at least 67.62%compared to conventional approaches.关键词
无人机/可见光通信/轨迹规划/功率分配Key words
unmanned aerial vehicle(UAV)/visible light communication(VLC)/trajectory planning/power allocation分类
信息技术与安全科学引用本文复制引用
庞丽媛,苗圃,宋康..无人机机载可见光通信网络协同部署与节能优化方法研究[J].南京邮电大学学报（自然科学版）,2026,46(1):39-46,8.基金项目
山东省自然科学基金(ZR2023MF096)和国家自然科学基金(61801257)资助项目 （ZR2023MF096）
