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| Paper Abstract and Keywords | ||
| Presentation | 2018-07-11 13:35 Throughput Prediction Method based on machine learning in Mobile Networks Bo Wei, kenji Kanai, Wataru Kawakami, Jiro Katto (Waseda Univ.)  NS2018-42 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (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) |
| (in English) | Throughput prediction / Communication quality / Machine learning / Mobile networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 124, NS2018-42, pp. 31-36, July 2018. | |
| Paper # | NS2018-42 | |
| Date of Issue | 2018-07-04 (NS) | |
| ISSN | 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 | NS2018-42 |
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| Conference Information | |
| Committee | ASN NS RCS SR RCC |
| Conference Date | 2018-07-11 - 2018-07-13 |
| 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. |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2018-07-ASN-NS-RCS-SR-RCC |
| Language | English |
| 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 prediction |
| Keyword(2) | Communication quality |
| Keyword(3) | Machine learning |
| Keyword(4) | Mobile networks |
| Keyword(5) | |
| Keyword(6) | |
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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 | 2018-07-11 13:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2018-42 |
| Volume (vol) | vol.118 |
| Number (no) | no.124 |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2018-07-04 (NS) |
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