摘要
无人飞行器(Unmanned Aerial Vehicle,UAV)辅助移动边缘计算作为一种新的服务框架,能够为偏远地区用户提供计算密集型任务卸载服务。然而,由于UAV受到自身电量的限制,难以长时间持续为用户服务。为了提升系统的计算卸载能力和UAV能效,基于终端功率控制与UAV轨迹优化技术,设计了UAV辅助计算卸载策略。该策略建立了一个结合智能终端的卸载速率与UAV综合能耗的复合优化函数,并采用逐次凸近似和二次近似方法求得最优解。通过仿真分析,验证了所设计的UAV辅助边缘计算卸载策略在提升系统计算卸载能力,以及在节省UAV综合能耗方面的优越性。
As a new service framework,unmanned aerial vehicle(UAV)assisted mobile edge computing(MEC)can provide users and IoT terminals in remote areas with computing-intensive tasks.However,due to the limitation of the UAV’s own power,it is difficult to sustain its services for a long time.To improve the computing offloading capability of the system and the energy efficiency of UAVs,a UAV-assisted computing offloading strategy is designed,which is based on terminal power control and UAV trajectory optimization technology.The strategy establishes a composite optimization function that combines the offloading rate together with the comprehensive energy consumption of UAVs.Through simulation analysis,the superiority of the designed UAV-assisted MEC offloading strategy is verified.
作者
肖川
孙波
张文柱
XIAO Chuan;SUN Bo;ZHANG Wenzhu(DFH Satellite Co.,Ltd.,China Academy of Space Technology,Beijing 100094,China;Institute of Spacecraft System Engineering,China Academy of Space Technology,Beijing 100094,China;School of Information and Control Engineering,Xi’an University of Architecture and Technology,Xi’an 710055,China)
出处
《测试技术学报》
2025年第5期607-614,共8页
Journal of Test and Measurement Technology
关键词
无人飞行器
移动边缘计算
轨迹优化
计算卸载
unmanned aerial vehicle
mobile edgecomputing
trajectory optimization
computing offloading
