湖南大学学报（自然科学版）2025，Vol.52Issue(4)：91-102,12.DOI:10.16339/j.cnki.hdxbzkb.2025269
视距概率下无人机静态部署与能效优化策略
Static Deployment and Energy Efficiency Optimization Strategy of UAV under LoS Probability
摘要
Abstract
Unmanned aerial vehicle(UAV)communication faces challenges such as path loss and intergroup interference.To meet the discrete users'communication needs,achieve static deployment of UAV networks,and maximize energy efficiency,this paper studies a multi-ratio concave-convex fractional programming problem.A convex optimization cooperative swarm intelligence strategy is proposed,which decouples the original problem into separate power control and height optimization problems,solving them iteratively.Firstly,a line-of-sight(LoS)probability average path loss model is introduced to study the relationship between deployment height and horizontal distance,as well as the three-dimensional deployment problem through pitch angles.Secondly,a quadratic transformation is utilized to decouple the original problem,aiming to enhance system energy efficiency under the LoS probability link.Finally,a fast feedback particle swarm algorithm is proposed for accurate deployment of heights,addressing the complex multi-objective cooperative optimization problem.Simulation results demonstrate that,under the proposed model,the strategy achieves the balance between algorithm complexity and accuracy,enabling efficient and accurate deployment of UAV base stations.关键词
无人机通信/视距概率/能效优化/功率控制/高度部署Key words
UAV communication/LoS probability/energy efficiency optimization/power control/height deploy-ment分类
信息技术与安全科学引用本文复制引用
彭艺,朱昊,杨青青,吴桐,王健明,李辉..视距概率下无人机静态部署与能效优化策略[J].湖南大学学报（自然科学版）,2025,52(4):91-102,12.基金项目
云南省基础研究计划重点资助项目(202401AS070105),Key Project of Yunnan Provincial Basic Research Program(202401AS070105) （202401AS070105）
国家自然科学基金资助项目(61761025),National Natural Science Foundation of China(61761025) （61761025）
云南计算机技术应用重点实验室开放基金资助项目(2021102),Development Fund of Key Laboratory of Computer Technology Application in Yunnan Prov-ince(2021102) （2021102）
