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计算机工程 ›› 2021, Vol. 47 ›› Issue (1): 172-181. doi: 10.19678/j.issn.1000-3428.0056235

• 移动互联与通信技术 • 上一篇    下一篇

一种高吞吐量的无人机轨迹规划方法

冯建新1,2, 栾帅帅1,2, 刘俊梅1,2, 潘成胜1,2   

  1. 1. 大连大学 通信与网络重点实验室, 辽宁 大连 116622;
    2. 大连大学 信息工程学院, 辽宁 大连 116622
  • 收稿日期:2019-10-10 修回日期:2020-12-03 发布日期:2020-01-19
  • 作者简介:冯建新(1975-),女,副教授,主研方向为无人机通信;栾帅帅、刘俊梅,硕士研究生;潘成胜,教授、博士生导师。
  • 基金资助:
    国家高技术研究发展计划(2015AAXXXX);装备发展部领域基金(61403110308);教育部基本科学研究项目(110404035);国家留学基金(201708210281);辽宁省教育厅一般项目(L2015016)。

An Unmanned Aerial Vehicle Trajectory Planning Method with High Throughput

FENG Jianxin1,2, LUAN Shuaishuai1,2, LIU Junmei1,2, PAN Chengsheng1,2   

  1. 1. Key Laboratory of Communication and Network, Dalian University, Dalian, Liaoning 116622, China;
    2. College of Information Engineering, Dalian University, Dalian, Liaoning 116622, China
  • Received:2019-10-10 Revised:2020-12-03 Published:2020-01-19

摘要: 无人机由于具有完全可控的移动性以及快速部署等优点,成为无线通信领域的研究热点。研究一种无人机支持的多播信道,利用无人机作为移动发射机向多个地面节点发送信息,在无人机的有限任务通信时间内,设计一种连续圆飞行轨迹方法。面向随机分布的多个地面节点,设定距离阈值对地面节点进行分组,通过求解新型旅行商问题确定无人机对各个分组的通信顺序,在满足无人机与地面节点通信覆盖需求的情况下,对圆心、无人机的飞行速度以及飞行半径进行求解,确定各个分组的圆形飞行轨迹,进而生成连续圆飞行轨迹。为实现吞吐量最大化目标,基于连续圆轨迹,在轨迹、功率一定情况下进行功率和轨迹优化,并通过交替联合优化无人机轨迹和功率以提高无人机对地通信系统整体性能。仿真结果表明,与基准方案相比,该方法系统吞吐量明显提高。

关键词: 无人机通信, 轨迹规划, 吞吐量, 联合优化, 连续凸优化

Abstract: Unmanned Aerial Vehicle(UAV) has become a research hotspot in the field of wireless communication due to its advantages such as fully controllable mobility and rapid deployment.This paper researches a multicast channel supported by UAV,and the UAV is used as a mobile transmitter to send information to multiple ground nodes.Within the limited mission communication time of UAV,a continuous circular flight trajectory is designed.Multiple ground nodes are distributed randomly,and grouped according to a set distance threshold. Furthermore,the communication sequence for UAV accessing each group is determined by solving the established new traveling agent problem. Within the coverage of communication between UAV and ground nodes,the circular flight trajectory of each group is obtained by solving the center of circles,flight speed of UAV and flight radius of UA,and the continuous circular flight trajectory is generated.In order to maximize the throughput,optimization of power and trajectory is carried out based on continuous circular trajectory under certain conditions of trajectory and power,and alternate optimization of trajectory and power is carried out to improve the overall performance of the UAV-to-ground communication system.Simulation results show that compared with the benchmark scheme,the proposed method can significantly improve the system throughput.

Key words: Unmanned Aerial Vehicle(UAV) communication, trajectory planning, throughput, jointly optimization, continuous convex optimization

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