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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
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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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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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Keyword(1) machine learning  
Keyword(2) radio communication systems  
Keyword(3) site engineering  
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1st Author's Name Koji Yamamoto  
1st Author's Affiliation 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
Date of Issue 2019-02-27 (RCS) 


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