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About this paper
Fuhui Zhou, Rose Qingyang Hu, Zan Li, Yuhao Wang
A comprehensive survey synthesizes the current state of Mobile Edge Computing (MEC) in Unmanned Aerial Vehicle (UAV) networks, categorizing existing architectures and detailing critical implementation issues. It identifies key challenges and outlines future research directions for this integrated technology.
Key insights
- UAV-enabled MEC networks can be classified into three distinct architectures based on the UAV's role: as a user offloading tasks, as a mobile MEC server, or as a communication relay.
- Key implementation considerations include partial versus binary offloading, static versus dynamic CPU frequency at UAVs, and the application of various communication techniques like NOMA, multiple antennas, and physical-layer security.
- Resource allocation in UAV-enabled MEC is a complex multi-objective optimization problem, often involving joint management of communication, local computing, and UAV flying resources to maximize computation, minimize energy/cost, or ensure fairness.
Summary by alphaXiv.
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