Presentation 2018-01-19
Machine learning-based throughput prediction using communication quality in mobile networks
Bo Wei, Kenji Kanai, Wataru Kawakami, Jiro Katto,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Throughput prediction contributes a lot to bitrate control technique, to improve user experience of video streaming. Existing method did not take various scenarios of user movement pattern into consideration in mobile networks. To bridge this gap, we put forward a throughput prediction model in this paper. The model first identifies the user movement pattern, then predicts throughput using communication quality data in the specific scenario with machine learning for mobile networks. Field experiment results indicate the method can predict throughput effectively in various scenarios.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Throughput prediction / Communication quality / Machine learning / Mobile networks
Paper # MoNA2017-53
Date of Issue 2018-01-11 (MoNA)

Conference Information
Committee MoNA
Conference Date 2018/1/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Campus Plaza Kyoto
Topics (in Japanese) (See Japanese page)
Topics (in English) Mobile Network, Application of Machine Learning, Mobile Data, etc.
Chair Ryoichi Shinkuma(Kyoto Univ.)
Vice Chair Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.)
Secretary Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NTT)
Assistant Takayuki Nishio(Kyoto Univ.) / Takato Saito(NTT)

Paper Information
Registration To Technical Committee on Mobile Network and Applications
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Machine learning-based throughput prediction using communication quality in mobile networks
Sub Title (in English)
Keyword(1) Throughput prediction
Keyword(2) Communication quality
Keyword(3) Machine learning
Keyword(4) Mobile networks
1st Author's Name Bo Wei
1st Author's Affiliation Waseda University(Waseda Univ.)
2nd Author's Name Kenji Kanai
2nd Author's Affiliation Waseda University(Waseda Univ.)
3rd Author's Name Wataru Kawakami
3rd Author's Affiliation Waseda University(Waseda Univ.)
4th Author's Name Jiro Katto
4th Author's Affiliation Waseda University(Waseda Univ.)
Date 2018-01-19
Paper # MoNA2017-53
Volume (vol) vol.117
Number (no) MoNA-390
Page pp.pp.69-72(MoNA),
#Pages 4
Date of Issue 2018-01-11 (MoNA)