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| Presentation | 2018-01-19 12:05 Machine learning-based throughput prediction using communication quality in mobile networks Bo Wei, Kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.)  MoNA2017-53 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Throughput prediction / Communication quality / Machine learning / Mobile networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 390, MoNA2017-53, pp. 69-72, Jan. 2018. | |
| Paper # | MoNA2017-53 | |
| Date of Issue | 2018-01-11 (MoNA) | |
| ISSN | Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | MoNA2017-53 |
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| Conference Information | |
| Committee | MoNA |
| Conference Date | 2018-01-18 - 2018-01-19 |
| 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. |
| Paper Information | |
| Registration To | MoNA |
| Conference Code | 2018-01-MoNA |
| Language | English |
| 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 |
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| 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.) |
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| Speaker | Author-1 |
| Date Time | 2018-01-19 12:05:00 |
| Presentation Time | 25 minutes |
| Registration for | MoNA |
| Paper # | MoNA2017-53 |
| Volume (vol) | vol.117 |
| Number (no) | no.390 |
| Page | pp.69-72 |
| #Pages | 4 |
| Date of Issue | 2018-01-11 (MoNA) |
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