Presentation | 2018-02-26 Evaluation of Mobile Data Offloading Method Using Deep Reinforcement Learning Daisuke Mochizuki, Yu Abiko, Takato Saito, Masaji Katagiri, Daizo Ikeda, Hiroshi Mineno, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In recent years, the demand for mobile data communication has been increasing as the technologies of IoT have been widely used, and it is known that the mobile data traffic has a locality in commuting time and urban areas. There is a problem that the cellular infrastructures are crowded and the mobile data communication demand makes the network accommodation efficiency lower. As a method for improving the cellular infrastructures bandwidth utilization efficiency, a transmission rate control method has been proposed such as MDOP which balances the load by focus on the delay tolerance of contents. However, mathematical models do not have perform well to maximize bandwidth utilization efficiency in various situations. In this paper, to improve bandwidth utilization efficiency, we propose mobile data offloading method using deep reinforcement learning considering the delay tolerance of contents. The proposal method can control transmission appropriately in situations where mathematical models do not work well. As a result, we confirmed that the proposal method reduces the excess data amount by 26% from the control target value compared to the time offloading of MDOP. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Offloading / Reinforcement Learning / Delay Tolerant / Mobile Data |
Paper # | MoNA2017-65 |
Date of Issue | 2018-02-19 (MoNA) |
Conference Information | |
Committee | MoNA / ASN / IPSJ-MBL / IPSJ-UBI |
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Conference Date | 2018/2/26(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Sophia University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Ubiquitous system, Ambient intelligence, Next generation wireless communicasion, Mobile network, etc. |
Chair | Ryoichi Shinkuma(Kyoto Univ.) / Hiraku Okada(Nagoya Univ.) / 河口 信夫(名大) / 寺田 努(神戸大) |
Vice Chair | Shigeaki Tagashira(Kansai Univ.) / Gen Kitagata(Tohoku Univ.) / Shigeki Shiokawa(KAIT) / Jin Nakazawa(Keio Univ.) / Satoru Yamano(NEC) / 深澤 佑介(ドコモ) / 久保 健(KDDI) / 北村 操代(三菱電気) |
Secretary | Shigeaki Tagashira(Kyushu Univ.) / Gen Kitagata(NTT) / Shigeki Shiokawa(NEC) / Jin Nakazawa(NICT) / Satoru Yamano(Sophia Univ.) / 深澤 佑介(愛知工大) / 久保 健(阪大) / 北村 操代(豊橋技科大) / (NTT) |
Assistant | Takayuki Nishio(Kyoto Univ.) / Takato Saito(NTT) / Hiroto Aida(Doshisha Univ.) / Tomoyuki Ota(Hiroshima City Univ.) / Tatsuya Kikuzuki(Fujitu Lab.) / Ryo Nakano(HITACHI) / Yoshifumi Hotta(Mitsubishi Electric) |
Paper Information | |
Registration To | Technical Committee on Mobile Network and Applications / Technical Committee on Ambient intelligence and Sensor Networks / Special Interest Group on Mobile Computing and Pervasive Systems / Special Interest Group on Ubiquitous Computing System |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation of Mobile Data Offloading Method Using Deep Reinforcement Learning |
Sub Title (in English) | |
Keyword(1) | Offloading |
Keyword(2) | Reinforcement Learning |
Keyword(3) | Delay Tolerant |
Keyword(4) | Mobile Data |
1st Author's Name | Daisuke Mochizuki |
1st Author's Affiliation | Shizuoka University(Shizuoka Univ.) |
2nd Author's Name | Yu Abiko |
2nd Author's Affiliation | Shizuoka University(Shizuoka Univ.) |
3rd Author's Name | Takato Saito |
3rd Author's Affiliation | NTT DOCOMO,Inc.(NTT DOCOMO) |
4th Author's Name | Masaji Katagiri |
4th Author's Affiliation | NTT DOCOMO,Inc.(NTT DOCOMO) |
5th Author's Name | Daizo Ikeda |
5th Author's Affiliation | NTT DOCOMO,Inc.(NTT DOCOMO) |
6th Author's Name | Hiroshi Mineno |
6th Author's Affiliation | Shizuoka University(Shizuoka Univ.) |
Date | 2018-02-26 |
Paper # | MoNA2017-65 |
Volume (vol) | vol.117 |
Number (no) | MoNA-450 |
Page | pp.pp.141-146(MoNA), |
#Pages | 6 |
Date of Issue | 2018-02-19 (MoNA) |