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| Paper Abstract and Keywords | ||
| Presentation | 2018-03-02 10:25 Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning Koji Oshima (TUS/KKE), Takumu Kobayashi, Yuki Taenaka, Kaori Kuroda, Mikio Hasegawa (TUS)  SR2017-132 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the spread of mobile communication devices, the opportunities to use wireless communication technology have been increasing regardless of the place. However communication qualities decrease due to competing to use radio resources, interference among nearby devices and so on. Cognitive radio technologies have been developed recently to conquer such difficulties. In this paper, we propose a wireless network optimization method using learning algorithms based on a control model known as cognitive cycle. We implement the designed optimization method in IEEE 802.11 wireless LANs and evaluate the throughput performance. We also evaluate the method in a computer simulation environment. The experimental results show the effectiveness of the proposed approach. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Cognitive Radio / Wireless LAN / Machine Learning / Optimization / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 457, SR2017-132, pp. 103-107, Feb. 2018. | |
| Paper # | SR2017-132 | |
| Date of Issue | 2018-02-21 (SR) | |
| 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 | SR2017-132 |
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| Conference Information | |
| Committee | RCS SR SRW |
| Conference Date | 2018-02-28 - 2018-03-02 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | YRP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Paper Information | |
| Registration To | SR |
| Conference Code | 2018-02-RCS-SR-SRW |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Wireless Network Optimization Method based on Cognitive Cycle using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Cognitive Radio |
| Keyword(2) | Wireless LAN |
| Keyword(3) | Machine Learning |
| Keyword(4) | Optimization |
| Keyword(5) | |
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| 1st Author's Name | Koji Oshima |
| 1st Author's Affiliation | Tokyo University of Science/Kozo Keikaku Engineering Inc. (TUS/KKE) |
| 2nd Author's Name | Takumu Kobayashi |
| 2nd Author's Affiliation | Tokyo University of Science (TUS) |
| 3rd Author's Name | Yuki Taenaka |
| 3rd Author's Affiliation | Tokyo University of Science (TUS) |
| 4th Author's Name | Kaori Kuroda |
| 4th Author's Affiliation | Tokyo University of Science (TUS) |
| 5th Author's Name | Mikio Hasegawa |
| 5th Author's Affiliation | Tokyo University of Science (TUS) |
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| Speaker | Author-1 |
| Date Time | 2018-03-02 10:25:00 |
| Presentation Time | 25 minutes |
| Registration for | SR |
| Paper # | SR2017-132 |
| Volume (vol) | vol.117 |
| Number (no) | no.457 |
| Page | pp.103-107 |
| #Pages | 5 |
| Date of Issue | 2018-02-21 (SR) |
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