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 |
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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RCS2019-216 |
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) |
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Keyword(1) |
Spectrum sharing |
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Neural network |
Keyword(3) |
Machine learning |
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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 |
Author-1 |
Date Time |
2019-11-21 10:15:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCS2019-216 |
Volume (vol) |
vol.119 |
Number (no) |
no.296 |
Page |
pp.79-84 |
#Pages |
6 |
Date of Issue |
2019-11-13 (RCS) |
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