联合优化无人机位置和功率的用户吞吐量最大化方法
Throughput Enhancement Method Based on Joint Position and Transmit Power of UAV
陈丹 1杨洪朝 1谢英辉1
作者信息
- 1. 长沙民政职业技术学院,长沙,410004
- 折叠
摘要
因移动便捷、高视距通信概率等优势,无人机(Unmanned Aerial Vehicle,UAV)在应急通信中发挥重要作用.为此,提出联合优化UAVs位置和传输功率的吞吐量最大化(Joint optimization of UAV 3-D Position and Transmit powers for throughput Maximization,JPTM)方法,进而提高地面用户的吞吐量.先构建一个联合UAVs三维位置和传输功率的优化问题.考虑到该问题的非凸优化性,将其分解为两个子问题.用Mean-Shift算法求解第一个问题,获取最优的UAVs水平位置.采用分而治之策略,将第二个子问题再分解,并利用一阶泰勒级数展开对两个子问题进行近似处理,形成标准凸化问题,然后利用CVX工具求解.性能分析表明,相比于基于圆形堆积理论部署UAVs策略(Circle Packing Theorem-based Deployment,CPTD)和基于多变量仿真的能效 UAVs 部署策略(Energy-Efficient Variable simultaneous Deployment,EEVD)算法,JPTM算法提高了地面用户的吞吐量.
Abstract
Unmanned Aerial Vehicles(UAVs)plays an important role in wireless networks due to the advantages of high mobility and high line-of-sight communication probability.Therefore,joint optimization of UAV 3-D position and transmit powers for throughput maximization(JPTM)algorithm is proposed in this paper.In JPTM,joint optimization problem of 3-D placement and transmit power of UAV was established to maximize the throughput.The problem was a nonconvex optimization problem,and the problem is divided into two optimization problem.The first optimization problem is solved by Mean-shift algorithm and the optimal horizontal locations of UAVs are calculated.The second optimization problem are decomposed by divide-and-conquer strategy,and the sub-problem are approximated by first-order Taylor expansion.The sub-problem is formed to be standard convexity problem,which is solved by CVX tool.Simulation results have demonstrated that JPTM results in throughput performance as compared to Circle Packing Theorem-based Deployment(CPTD)of UAVs and Energy-Efficient Variable simultaneous Deployment(EEVD)algorithm.
关键词
无人机通信/三维位置部署/传输功率优化/Mean-Shift算法/一阶泰勒级数展开Key words
UAV communication/3-D deployment/Transmit power optimization/Mean-shift algorithm/First-order taylor expansion引用本文复制引用
基金项目
湖南省自然科学基金项目(2022JJ60103)
湖南省创新型省份建设专项科普专题项目(2022ZK4045)
中国高校产学研创新基金(2021ITA10023)
长沙市自科基金(kq2208240)
长沙市自科基金(kq2402035)
出版年
2024
NETL
NSTL
万方数据