A Novel Non-Supervised Deep-Learning-Based Network Traffic Control Method for Software Defined Wireless Networks

SDN has been regarded as the next-generation network paradigm as it decouples complex network management from packet forwarding, which significantly simplifies the operation of switches in the data plane. The good programmability of SDN infrastructure also improves network feasibility. To alleviate...

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Vydané v:	IEEE wireless communications Ročník 25; číslo 4; s. 74 - 81
Hlavní autori:	Mao, Bomin, Tang, Fengxiao, Fadlullah, Zubair Md, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.08.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Communications traffic Computer architecture Control systems Deep learning Machine learning Network management systems Protocol (computers) Routing protocols Supervised learning Switches Switching theory Traffic control Training data Wireless networks
ISSN:	1536-1284, 1558-0687
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