宇航计测技术 ›› 2024, Vol. 44 ›› Issue (3): 82-88.doi: 10.12060/j.issn.1000-7202.2024.03.13

• 精密测试技术 • 上一篇    下一篇

联合优化无人机位置和功率的用户吞吐量最大化方法

陈丹，杨洪朝，谢英辉   

  1. 长沙民政职业技术学院，长沙，410004
  • 出版日期:2024-06-25 发布日期:2024-09-13
  • 作者简介:陈丹（1991-），女，讲师，硕士，主要研究方向：脑科学、人工智能、量子通信技术。
  • 基金资助:
    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。

Throughput Enhancement Method Based on Joint Position and Transmit Power of UAV

CHEN Dan,YANG Hongzhao,XIE Yinghui   

  1. Changsha Social Work College,Changsha 410004,China
  • Online:2024-06-25 Published:2024-09-13

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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。

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

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.

Key words: UAV communication, 3-D deployment, Transmit power optimization, Mean-shift algorithm, First-order taylor expansion

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