4.7 Article

Mobile Edge Computing in Unmanned Aerial Vehicle Networks

Journal

IEEE WIRELESS COMMUNICATIONS
Volume 27, Issue 1, Pages 140-146

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MWC.001.1800594

Keywords

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

Funding

  1. National Natural Science Foundation of China [61701214, 61661028]
  2. Intel Corporation
  3. U.S. National Science Foundation [EARS1547312]
  4. National Natural Science Foundation for Distinguished Young Scholar [61825104]
  5. Key project of the National Natural Science Foundation of China [61631015]
  6. Open Foundation of The State Key Laboratory of Integrated Services Networks [ISN1908]
  7. Excellent Youth Foundation of Jiangxi Province [2018ACB21012]

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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.

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