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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Veröffentlicht in:	IEEE wireless communications 2018-08, Vol.25 (4), p.74-81
Hauptverfasser:	Mao, Bomin, Tang, Fengxiao, Fadlullah, Zubair Md, Kato, Nei, Akashi, Osamu, Inoue, Takeru, Mizutani, Kimihiro
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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