Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach

The development of mobile devices with improving communication and perceptual capabilities has brought about a proliferation of numerous complex and computation-intensive mobile applications. Mobile devices with limited resources face more severe capacity constraints than ever before. As a new conce...

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Veröffentlicht in:	IEEE transactions on emerging topics in computing Jg. 9; H. 3; S. 1529 - 1541
Hauptverfasser:	Wang, Jiadai, Zhao, Lei, Liu, Jiajia, Kato, Nei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Applications programs Cloud computing Computer architecture Deep learning deep reinforcement learning Delays Edge computing Electronic devices Machine learning Mobile computing Mobile edge computing Mobile handsets Resource allocation Resource management Routing Servers
ISSN:	2168-6750, 2168-6750
Online-Zugang:	Volltext
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