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

作　　者：彭艺[1,2] 朱昊 杨青青 吴桐[1] 王健明 李辉 PENG Yi;ZHU Hao;YANG Qingqing;WU Tong;WANG Jianming;LI Hui(School of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650031,China;Yunnan Key Laboratory of Computer Technologies Application,Kunming University of Science and Technology,Kunming 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650031 [2]昆明理工大学云南省计算机技术应用重点实验室,云南昆明650500

出　　处：《湖南大学学报(自然科学版)》2025年第4期91-102,共12页Journal of Hunan University:Natural Sciences

基　　金：云南省基础研究计划重点资助项目(202401AS070105);国家自然科学基金资助项目(61761025);云南计算机技术应用重点实验室开放基金资助项目(2021102)。

摘　　要：无人机通信面临路径损耗和组间干扰等问题.为了满足离散用户通信需求,实现无人机组网的静态部署并最大化能效,本文针对多比凹凸函数分式规划问题进行研究,提出一种凸优化协同群体智能优化策略,该策略将原问题解耦为功率控制与高度优化问题并迭代求解.首先,引入视距概率路径损耗模型,通过俯仰角研究部署高度与水平距离之间关系,将部署问题三维化.其次,利用二次变换解耦原问题,旨在提升视距概率链路下的系统能效.最后,提出快速反馈粒子群算法对高度进行部署,以解决复杂多目标协同优化问题.仿真结果表明,在本文模型下,该策略能够实现算法复杂度与准确性之间平衡,对无人机基站进行高效准确部署.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 

分 类 号：TN925[电子电信—通信与信息系统]