Mobile Edge Computing in Unmanned Aerial Vehicle Networks

被引：214

作者：

Zhou, Fuhui ^{[1
,2
]}

Hu, Rose Qingyang ^{[3
]}

Li, Zan ^{[4
]}

Wang, Yuhao ^{[5
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Peoples R China

[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian, Shaanxi, Peoples R China

[3] Utah State Univ, Dept Elect & Comp Engn, Logan, UT 84322 USA

[4] Xidian Univ, Integrated Serv Networks Lab, Xian, Shaanxi, Peoples R China

[5] Nanchang Univ, Sch Informat Engn, Nanchang, Jiangxi, Peoples R China

来源：

IEEE WIRELESS COMMUNICATIONS | 2020年 / 27卷 / 01期

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Task analysis; Computer architecture; Servers; Unmanned aerial vehicles; Trajectory; Communication networks; Relays; UAV; COMMUNICATION;

D O I：

10.1109/MWC.001.1800594

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Unmanned aerial vehicle (UAV)-enabled communication networks are promising in the fifth and beyond wireless communication systems. In this paper, we shed light on three UAV-enabled mobile edge computing (MEC) architectures. Those architectures have been receiving ever increasing research attention for improving computation performance and decreasing execution latency by integrating UAV into MEC networks. We present a comprehensive survey for the state-of-the-art research in this domain. Important implementation issues are clarified. Moreover, in order to provide an enlightening guidance for future research directions, key challenges and open issues are discussed.

引用

页码：140 / 146

页数：7

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