Computation Efficiency Maximization in Wireless-Powered Mobile Edge Computing Networks

Energy-efficient computation is an inevitable trend for mobile edge computing (MEC) networks. Resource allocation strategies for maximizing the computation efficiency are critically important. In this paper, computation efficiency maximization problems are formulated in wireless-powered MEC networks...

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Veröffentlicht in:	IEEE transactions on wireless communications Jg. 19; H. 5; S. 3170 - 3184
Hauptverfasser:	Zhou, Fuhui, Hu, Rose Qingyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.05.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms binary computation offloading computation efficiency Computation offloading Computational efficiency Computer simulation Computing time Edge computing Efficiency Energy consumption Energy harvesting Iterative algorithms Iterative methods Maximization Mobile computing Mobile-edge computing NOMA Optimization partial computation offloading Resource allocation Resource management Servers Task analysis Time Division Multiple Access Wireless communication Wireless networks wireless power transfer
ISSN:	1536-1276, 1558-2248
Online-Zugang:	Volltext
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