Task Offloading and Trajectory Control for UAV-Assisted Mobile Edge Computing Using Deep Reinforcement Learning

Task Offloading and Trajectory Control for UAV-Assisted Mobile Edge Computing Using Deep Reinforcement Learning

Mobile Edge Computing (MEC) has been widely employed to support various Internet of Things (IoT) and mobile applications. By leveraging the advantages of easily deployed and flexibility of Unmanned Aerial Vehicle (UAV), one of MEC primary functions is employing UAVs equipped with MEC servers to prov...

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Bibliographic Details
Main Authors: Lu Zhang, Zi-Yan Zhang, Luo Min, Chao Tang, Hong-Ying Zhang, Ya-Hong Wang, Peng Cai
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Computation offloading
deep learning
energy saving
mobile edge computing
reinforcement learning
unmanned aerial vehicle
Online Access:https://ieeexplore.ieee.org/document/9395130/

Internet

https://ieeexplore.ieee.org/document/9395130/

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