Optimization of bits allocation and path planning with trajectory constraint in UAV-enabled mobile edge computing system

作     者：Yizhe LUO Wenrui DING Baochang ZHANG Wenqian HUANG Chunhui LIU Yizhe LUO;Wenrui DING;Baochang ZHANG;Wenqian HUANG;Chunhui LIU

作者机构：School of Electronics and Information EngineeringBeihang UniversityBeijing 100083China Institute of Unmanned SystemBeihang UniversityBeijing 100083China School of Automation Science and Electrical EngineeringBeihang UniversityBeijing 100083China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2020年第33卷第10期

页      面：2716-2727页

核心收录：

学科分类：08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术] 

基　　金：the Defense Industrial Technology Development Program of China(No.JCKY2017601C006) the National Key Research and Development Program of China(No.2016YFB0502602) the National Natural Science Foundation of China(No.91538204) in part supported by Shenzhen Science and Technology Program,China(No.KQTD2016112515134654) 

主　　题：Constraint implementation Edge computing Energy consumption Optimization methodology Unmanned Aerial Vehicles(UAV) 

摘      要：In this paper,an Unmanned Aerial Vehicle(UAV)enabled Mobile Edge Computing(MEC)system is studied,in which UAV acts as server to offer computing offloading service to the Mobile Users(MUs)with limited computing capability and energy *** aim to minimize the total energy consumption of MUs by jointly optimizing the bit allocation for uplink,computing at the UAV and downlink,along with the UAV trajectory in a unified *** this end,a trajectory constraint model is employed to avoid sudden changes of velocity and acceleration during *** to high-order information in use,we lead to a more reasonable nonconvex optimization problem than prior *** Alternating Direction Method of Multipliers(ADMM)method is introduced to solve the optimization problem,which is decomposed into a set of easy subproblems,to meet the requirement on the efficiency in edge *** results demonstrate that our approach leads a smoother UAV trajectory,significantly save the energy consumption for UAV during flying.