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| Presentation | 2018-05-25 09:30 A Study on Resource Allocation Utilizing Q-Learning for Video Transmission in Multiple UAS Networks Saki Tashiro, Yuichi Kawamoto, Hiroki Nishiyama, Nei Kato (Tohoku Univ.)  SAT2018-7 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In recent years, the number of the use of unmanned aircrafts(UAs) has increased remarkably, and the world market size of UAs in 2020 is predicted to exceed 2 trillion yen. There are various services, for example, facility inspection, land surveillance, and package delivery, because of high mobility of UAs. Ensuring safety, improving work efficiency, reducing labor costs are realized by UAs. In some services, it is necessary to be able to watch a video taken by a UA in real-time. On the other hand, we can use the limited frequency bands. So, in this research, we consider a communication system that realizes high efficiency real-time video transmission in Multiple UAS Networks. We use LTE Direct, which is a technology of device-to-device communication for in this communication system. We propose an algorithm to realize efficient resource allocation. we consider time-slot allocation method using Q-learning as a proposed algorithm. By using Q-learning, it is possible to learn more efficient time-slot allocation method by repeating trial and error. In this reserch, we deal with video data. Even if such data size changes constantly, it is possible to utilize resouces effectively by learning appropriate communication resource allocation. Furthermore, we compare this proposed algorithm with other methods and evaluate its effectiveness. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | UAS / D2D / LTE Direct / Q-learning / Video Transmission / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 118, no. 52, SAT2018-7, pp. 31-36, May 2018. | |
| Paper # | SAT2018-7 | |
| Date of Issue | 2018-05-17 (SAT) | |
| 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 | SAT2018-7 |
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| Conference Information | |
| Committee | SAT WBS |
| Conference Date | 2018-05-24 - 2018-05-25 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kagoshima University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Coding, Modulation, Signal processing and General |
| Paper Information | |
| Registration To | SAT |
| Conference Code | 2018-05-SAT-WBS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Resource Allocation Utilizing Q-Learning for Video Transmission in Multiple UAS Networks |
| Sub Title (in English) | |
| Keyword(1) | UAS |
| Keyword(2) | D2D |
| Keyword(3) | LTE Direct |
| Keyword(4) | Q-learning |
| Keyword(5) | Video Transmission |
| Keyword(6) | |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Saki Tashiro |
| 1st Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 2nd Author's Name | Yuichi Kawamoto |
| 2nd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 3rd Author's Name | Hiroki Nishiyama |
| 3rd Author's Affiliation | Tohoku University (Tohoku Univ.) |
| 4th Author's Name | Nei Kato |
| 4th Author's Affiliation | Tohoku University (Tohoku Univ.) |
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| Speaker | Author-1 |
| Date Time | 2018-05-25 09:30:00 |
| Presentation Time | 25 minutes |
| Registration for | SAT |
| Paper # | SAT2018-7 |
| Volume (vol) | vol.118 |
| Number (no) | no.52 |
| Page | pp.31-36 |
| #Pages | 6 |
| Date of Issue | 2018-05-17 (SAT) |
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