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Paper Abstract and Keywords
Presentation 2019-11-21 10:15
Study of Frequency Usage Prediction Using Machine Leaning for Spectrum Sharing
Hiroki Hosoi, Toshiyuki Maeyama (Takushoku Univ.), Tatsuya Yoshioka (ATR), Nobuo Suzuki (Kindai Univ.) RCS2019-216
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, traffic has been increasing rapidly, there is concern about the depletion of frequency resources. For this reason, Frequency sharing is studied. This is system that different radio communication systems shared use frequency bands that not used. For spectrum sharing, new radio communication systems should not affect to existing one. Therefore, grasp of radio wave and decision of frequency bands that shared use are necessary. We propose frequency sharing system that MEC (Mobile Edge Computing) estimates shared frequency bands from past usage of radio wave. We also estimate usage of radio wave by machine learning with spectral data at multi locations as training data as initial evaluation of proposed system. We evaluated the results by comparing with measurement data on usage of radio wave.
Keyword (in Japanese) (See Japanese page) 
(in English) Spectrum sharing / Neural network / Machine learning / Estimation usage of radio wave / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 296, RCS2019-216, pp. 79-84, Nov. 2019.
Paper # RCS2019-216 
Date of Issue 2019-11-13 (RCS) 
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)
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Conference Information
Committee AP RCS  
Conference Date 2019-11-20 - 2019-11-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Saga Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2019-11-AP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of Frequency Usage Prediction Using Machine Leaning for Spectrum Sharing 
Sub Title (in English)  
Keyword(1) Spectrum sharing  
Keyword(2) Neural network  
Keyword(3) Machine learning  
Keyword(4) Estimation usage of radio wave  
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1st Author's Name Hiroki Hosoi  
1st Author's Affiliation Takushoku University (Takushoku Univ.)
2nd Author's Name Toshiyuki Maeyama  
2nd Author's Affiliation Takushoku University (Takushoku Univ.)
3rd Author's Name Tatsuya Yoshioka  
3rd Author's Affiliation Advanced Telecommunications Research Institute International (ATR)
4th Author's Name Nobuo Suzuki  
4th Author's Affiliation Kindai University (Kindai Univ.)
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Speaker
Date Time 2019-11-21 10:15:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-RCS2019-216 
Volume (vol) IEICE-119 
Number (no) no.296 
Page pp.79-84 
#Pages IEICE-6 
Date of Issue IEICE-RCS-2019-11-13 


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