Energy efficient offloading strategy for UAV aided edge computing systems

被引：0
|
作者：
Yu X. [1 ,2 ]
Zhu Y. [1 ,2 ]
Qiu L. [1 ,2 ]
Zhu H. [1 ,2 ]
机构：
[1] Jiangsu Key Laboratory of Wireless Communications, Nanjing University of Posts and Telecommunications, Nanjing
[2] Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks, Ministry of Education, Nanjing University of Posts Telecommunications, Nanjing
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 03期
关键词：
Mobile-edge computing; Resource allocation; Trajectory optimizing; Unmanned aerial vehicle (UAV) communication;
D O I：
10.12305/j.issn.1001-506X.2022.03.35
中图分类号：
学科分类号：
摘要：
Aiming at the problem that the ground infrastructure can not effectively provide reliable communication and intensive computing power in complex terrain, an unloading scheme based on unmanned aerial vehicle (UAV) managed computing resources is proposed firstly. Considering the computing requirements of user terminals, the delay constraints of computing tasks, and the energy constraints of UAVs, a UAV assisted edge computing model is constructed to minimize the energy consumption of user terminals. Secondly, by decomposing the original nonconvex problem into two convex optimization subproblems, a two-step iterative optimization algorithm based on block coordinate descent is adopted to jointly optimize the amount of data of the local task of the user terminal, the amount of data of the unloading task and the trajectory of the UAV, so as to minimize the energy consumption of the user terminal within the agreed time. The simulation results show that the proposed strategy is suitable for different channel conditions, and can ensure the user terminal to complete the task while making the user terminal energy consumption better than other benchmark schemes. © 2022, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1022 / 1029
页数：7
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