基于车辆轨迹预测的节能无人机辅助车辆通信系统设计  

The Design of Energy-saving UAV-assisted Vehicle Communication System Based on Vehicle Trajectory Prediction

作　　者：刘兆年 陈万锦 王力[1] 何惠芳[1] 吴巧雪 LIU Zhaonian;CHEN Wanjin;WANG Li;HE Huifang;WU Qiaoxue(Guangdong Engineering Polytechnic,Guangzhou 510520,Guangdong,China)

机构地区：[1]广东工程职业技术学院,广东广州510520

出　　处：《工程技术研究》2024年第17期191-193,共3页Engineering and Technological Research

基　　金：广东工程职业技术学院2023年度校级科研项目“基于分布式协同无人机辅助通信系统分析与设计”(KYZD2023008);广东工程职业技术学院2024年度校级教育教学改革研究与实践项目(GGJG2024B003、GGJG2024B020)。

摘　　要：文章研究无人机辅助车辆通信系统,目标是通过优化无人机的飞行轨迹,最大化无人机的能量效率(通信吞吐量与无人机飞行总能耗的比率)。为此,根据通信模型和无人机飞行能量损耗模型建立无人机能量效率模型,利用车辆短期轨迹预测模型和长期轨迹预测模型相结合的方式获得行进车辆在整个行程内的预测轨迹,并基于预测轨迹提出一种新的无人机飞行轨迹优化方法,以实现无人机在飞行过程中的能量效率最大化。This paper studies the UAV-assisted vehicle communication system.The goal is to maximize the energy efficiency of the UAV(the ratio of communication throughput to the total energy consumption of the UAV flight)by optimizing the flight trajectory of the UAV.In this regard,the UAV energy efficiency model is established according to the communication model and the UAV flight energy loss model.The predicted trajectory of the moving vehicle in the whole journey is obtained by combining the vehicle short-term trajectory prediction model and the long-term trajectory prediction model.Based on the predicted trajectory,a new UAV flight trajectory optimization method is proposed to maximize the energy efficiency of the UAV during flight.

关 键 词：无人机辅助通信 能量效率 车辆轨迹预测 

分 类 号：U495[交通运输工程—交通运输规划与管理]