On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control

IEEE Wireless Communications

Volumn 25, Issue 1, 2018, Pages 154-160

  Tang, Fengxiao ^a   Mao, Bomin ^b   Fadlullah, Zubair Md ^c   Kato, Nei ^d   Akashi, Osamu ^e   Inoue, Takeru ^f   Mizutani, Kimihiro ^f  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b XIDIAN UNIVERSITY   (China)

^c Graduate School of Information Sciences   (China)

^d TOHOKU UNIVERSITY   (Japan)

^e TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

^f NTT Network Innovation Laboratories   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DEEP LEARNING; DEEP NEURAL NETWORKS; FEATURE EXTRACTION; INTELLIGENT NETWORKS; INTERNET PROTOCOLS; LEARNING SYSTEMS; MESH NETWORKING; NEURAL NETWORKS; ROUTING PROTOCOLS; TELECOMMUNICATION TRAFFIC; TRAFFIC CONTROL; WIRELESS NETWORKS;

CONVOLUTIONAL NEURAL NETWORK; FUTURE WIRELESS NETWORKS; INTELLIGENT TRAFFIC CONTROLS; MACHINE LEARNING TECHNIQUES; NETWORK TRAFFIC CONTROL; PROPOSALS; ROUTING; WIRED-WIRELESS NETWORKS;

NETWORK ROUTING;

EID: 85032734210     PISSN: 15361284     EISSN: None     Source Type: Journal    
DOI: 10.1109/MWC.2017.1700244     Document Type: Article

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