A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC

A Deep Learning Approach for Mobility-Aware and Energy-Efficient Resource Allocation in MEC

Mobile Edge Computing (MEC) has emerged as an alternative to cloud computing to meet the latency and Quality-of-Service (QoS) requirements of mobile devices. In this paper, we address the problem of server resource allocation in MEC. Due to the dynamic load conditions on MEC servers, their resources...

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Bibliographic Details
Main Authors: Zaiwar Ali, Sadia Khaf, Ziaul Haq Abbas, Ghulam Abbas, Fazal Muhammad, Sunghwan Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Mobile edge computing
resource allocation
computational offloading
deep learning
energy efficient
Online Access:https://ieeexplore.ieee.org/document/9210607/

Internet

https://ieeexplore.ieee.org/document/9210607/

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