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无人机空对地通信中的联合轨迹优化和功率控制 被引量:3

Joint trajectory optimization and power control in UAV-to-ground communication
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摘要 研究部署无人机与固定地面终端(GT)通信,无人机需要完成特定的任务,即从地面终端收集预定数量的数据。文中研究了一种圆形轨迹的无人机信息采集系统,联合考虑系统的能耗和任务完成时间。由于地面终端的通信能量消耗与无人机的飞行推进能量消耗之间存在博弈关系,需要设计合适的基于能量考量和任务需求的飞行策略。通过联合二分法和循环迭代的方法,分别得到了系统的能量消耗最小和地面终端的能耗最小两种飞行方案。此外,对应的最佳飞行半径和最佳瞬时传输功率也一并给出。最后,给出了数值结果以验证所提方案的性能,仿真结果表明,当传输功率和飞行半径取得最佳值时,无人机与地面终端系统将实现最佳性能和最小完成时间,同时系统的总能耗和GT的传输功耗也最小。 The UAV(unmanned aerial vehicle)communication with the fixed ground terminals(GTs)is researched. One of the missions of UAV is to collect a given amount of data from the ground terminals. A new circular trajectory information acquisition system jointly considering both the energy consumption of the system and completion time of a mission is researched for UAVs. However,a circular flight strategy based on proper energy trade-off needs to be designed first due to the contradiction between the communication energy consumption of GTs and the propulsion energy consumption of UAVs. Two schemes to minimize energy consumption of the system and transmission power consumption of GTs are obtained with the bisection method and loop iteration method. The optimal flight radius and the optimal instantaneous transmission power are also given in this paper. The numerical results are provided to verify the performance of the scheme proposed in this paper. Simulation results show that,when the transmission power and flight radius get the best value,the UAV and ground terminal system will achieve the best performance and minimum completion time,and the total energy consumption of the system and the transmission power consumption of GT are also the smallest.
作者 万俊 肖霖 杨鼎成 吴法辉 汪昭 WAN Jun;XIAO Lin;YANG Dingcheng;WU Fahui;WANG Zhao(School of Information Engineering,Nanchang University,Nanchang 330031,China)
出处 《现代电子技术》 北大核心 2020年第17期6-10,15,共6页 Modern Electronics Technique
基金 国家自然科学基金(61703197) 国家自然科学基金(61561032) 国家自然科学基金(61461029)资助。
关键词 无人机通信 圆形轨迹 能耗最小化 功率分配 资源优化 信息采集 UAV communication circular trajectory energy consumption minimization power allocation resource optimization information acquisition
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