| Presentation | 2018-11-16 Congestion Prediction Based on Throughput Estimation by Wi-Fi Packet Analysis Using Deep Learning Aoi Yamamoto, Saneyasu Yamaguchi, Takeshi Kamiyama, Masato Oguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, the number of wireless devices such as smartphones or tablet-type devices has been increasing all over the world. Devices performance has been improved, and large capacity data communication such as videos or games can be performed easily. But it may cause a large number of packets to be backlogged and eventually a problem of the occurrence of congestion is encountered. In this study, we performed deep learning with pack- ets around the access point and traffic analysis in wireless LAN. We evaluate predicted performance of the traffic congestion. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep learning / Wireless LAN / wireless communication / Android terminal / LSTM / Congestion |
| Paper # | NS2018-146 |
| Date of Issue | 2018-11-08 (NS) |
| Conference Information | |
| Committee | CQ / ICM / NS |
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| Conference Date | 2018/11/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Takanori Hayashi(Hiroshima Inst. of Tech.) / Kiyohito Yoshihara(KDDI Research) / Yoshikatsu Okazaki(NTT) |
| Vice Chair | Hideyuki Shimonishi(NEC) / Jun Okamoto(NTT) / Yoichi Yamashita(NTT-N) / Takumi Miyoshi(Shibaura Inst. of Tech.) / Akihiro Nakao(Univ. of Tokyo) |
| Secretary | Hideyuki Shimonishi(NTT) / Jun Okamoto(Nippon Inst. of Tech.) / Yoichi Yamashita(KDDI Research) / Takumi Miyoshi(NTT) / Akihiro Nakao(NTT) |
| Assistant | Chikara Sasaki(KDDI Research) / Yoshiaki Nishikawa(NEC) / Ryo Yamamoto(UEC) / Yunchen Zhu(Hitachi) / Kenichi Kashibuchi(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Information and Communication Management / Technical Committee on Network Systems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Congestion Prediction Based on Throughput Estimation by Wi-Fi Packet Analysis Using Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Deep learning |
| Keyword(2) | Wireless LAN |
| Keyword(3) | wireless communication |
| Keyword(4) | Android terminal |
| Keyword(5) | LSTM |
| Keyword(6) | Congestion |
| 1st Author's Name | Aoi Yamamoto |
| 1st Author's Affiliation | Ochanomizu University(Ochanomizu Univ.) |
| 2nd Author's Name | Saneyasu Yamaguchi |
| 2nd Author's Affiliation | Kogakuin University(Kogakuin Univ.) |
| 3rd Author's Name | Takeshi Kamiyama |
| 3rd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 4th Author's Name | Masato Oguchi |
| 4th Author's Affiliation | Ochanomizu University(Ochanomizu Univ.) |
| Date | 2018-11-16 |
| Paper # | NS2018-146 |
| Volume (vol) | vol.118 |
| Number (no) | NS-301 |
| Page | pp.pp.93-98(NS), |
| #Pages | 6 |
| Date of Issue | 2018-11-08 (NS) |