Presentation | 2018-07-11 Throughput Prediction Method based on machine learning in Mobile Networks Bo Wei, kenji Kanai, Wataru Kawakami, Jiro Katto, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Throughput prediction is essential for providing high quality of service for video streaming transmissions. In this paper, we propose a TCP throughput prediction method using machine learning for mobile networks. In the TCP throughput prediction stage, the long short-term memory (LSTM) model is employed, which takes communication quality factors, sensor data and scenario information into consideration. Field experiments are conducted to evaluate the proposal in various scenarios. The results show that proposed method can predict throughput accurately and decrease the prediction error compared with traditional methods. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Throughput predictionCommunication qualityMachine learningMobile networks |
Paper # | NS2018-42 |
Date of Issue | 2018-07-04 (NS) |
Conference Information | |
Committee | ASN / NS / RCS / SR / RCC |
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Conference Date | 2018/7/11(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Hakodate Arena |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Wireless Distributed Network, Machine Learning and AI for Wireless Communications and Networks, M2M (Machine-to-Machine), D2D (Device-to-Device), IoT(Internet of Things), etc. |
Chair | Hiraku Okada(Nagoya Univ.) / Yoshikatsu Okazaki(NTT) / Tomoaki Otsuki(Keio Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Kazunori Hayashi(Osaka City Univ.) |
Vice Chair | Koji Yamamoto(Kyoto Univ.) / Jin Nakazawa(Keio Univ.) / Kazuya Monden(Hitachi) / Akihiro Nakao(Univ. of Tokyo) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
Secretary | Koji Yamamoto(NICT) / Jin Nakazawa(Sophia Univ.) / Kazuya Monden(Kanagawa Inst. of Tech.) / Akihiro Nakao(NTT) / Eisuke Fukuda(Osaka Pref Univ.) / Satoshi Suyama(Hokkaido Univ.) / Fumiaki Maehara(NTT) / Masayuki Ariyoshi(NICT) / Suguru Kameda(ATR) / Shunichi Azuma(Univ. of Electro-Comm.) / HUAN-BANG LI(Kagawa Univ.) |
Assistant | Masafumi Hashimoto(Osaka Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) / Kenichi Kashibuchi(NTT) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) |
Paper Information | |
Registration To | Technical Committee on Ambient intelligence and Sensor Networks / Technical Committee on Network Systems / Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Throughput Prediction Method based on machine learning in Mobile Networks |
Sub Title (in English) | |
Keyword(1) | Throughput predictionCommunication qualityMachine learningMobile 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 | 2018-07-11 |
Paper # | NS2018-42 |
Volume (vol) | vol.118 |
Number (no) | NS-124 |
Page | pp.pp.31-36(NS), |
#Pages | 6 |
Date of Issue | 2018-07-04 (NS) |