Paper Abstract and Keywords |
Presentation |
2019-03-08 09:25
[Invited Lecture]
Site Engineering and Machine Learning for Next Generation Radio Communication Systems Koji Yamamoto (Kyoto Univ.) RCS2018-321 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
For the efficient operation of radio communication systems, parameters should be optimized when the communication quality is formulated as a function of communication parameters. Situations with multiple decision makers can be analyzed using game theory. However, it is often difficult to formulate communication quality when assuming a specific communication protocol. Also, communication quality depends on the site-specific arrangement. Thus operations of radio communication systems require site engineering, i.e., we need to solve site-specific problems. We introduce machine learning to automate the site engineering and studies using supervised learning and reinforcement learning. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
machine learning / radio communication systems / site engineering / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 474, RCS2018-321, pp. 203-203, March 2019. |
Paper # |
RCS2018-321 |
Date of Issue |
2019-02-27 (RCS) |
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) |
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RCS2018-321 |
Conference Information |
Committee |
RCS SR SRW |
Conference Date |
2019-03-06 - 2019-03-08 |
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 |
RCS |
Conference Code |
2019-03-RCS-SR-SRW |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Site Engineering and Machine Learning for Next Generation Radio Communication Systems |
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machine learning |
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radio communication systems |
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site engineering |
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Koji Yamamoto |
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Kyoto University (Kyoto Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-03-08 09:25:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2018-321 |
Volume (vol) |
vol.118 |
Number (no) |
no.474 |
Page |
p.203 |
#Pages |
1 |
Date of Issue |
2019-02-27 (RCS) |
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