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作 者:陈丹 杨洪朝 谢英辉[1] CHEN Dan;YANG Hongzhao;XIE Yinghui(Changsha Social Work College,Changsha 410004,China)
出 处:《宇航计测技术》2024年第3期82-88,共7页Journal of Astronautic Metrology and Measurement
基 金: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)资助。
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。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
分 类 号:TN925[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]
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