Paper Abstract and Keywords |
Presentation |
2019-02-01 10:50
A Study on Categorization of Busy/Idle History for Autoregressive Based Busy/Idle Duration Prediction over Real Environmental Channel Yusuke Tanaka, yafei HOU, Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) IT2018-56 SIP2018-86 RCS2018-263 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Predicting the channel spectrum (busy or idle) is one of important but challenging topic for a cognitive radio (CR) system which adaptively exploits multiple frequency bands to achieve high spectrum efficiency. We have already proposed a method to predict an upcoming busy/idle duration using autoregressive model with classification of date sequence by a history of busy/idle duration. In this paper, we evaluate the impact of the depth of the classification on the performance of the busy/idle length prediction in a railway terminal for both non-busy and busy hours. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Channel predication / Real environment / Categorization of busy/idle length / Autoregressive model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 435, RCS2018-263, pp. 121-126, Jan. 2019. |
Paper # |
RCS2018-263 |
Date of Issue |
2019-01-24 (IT, SIP, 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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IT2018-56 SIP2018-86 RCS2018-263 |
Conference Information |
Committee |
RCS SIP IT |
Conference Date |
2019-01-31 - 2019-02-01 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka University |
Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
RCS |
Conference Code |
2019-01-RCS-SIP-IT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A Study on Categorization of Busy/Idle History for Autoregressive Based Busy/Idle Duration Prediction over Real Environmental Channel |
Sub Title (in English) |
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Keyword(1) |
Channel predication |
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Real environment |
Keyword(3) |
Categorization of busy/idle length |
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Autoregressive model |
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1st Author's Name |
Yusuke Tanaka |
1st Author's Affiliation |
Okayama University (Okayama Univ.) |
2nd Author's Name |
yafei HOU |
2nd Author's Affiliation |
Okayama University (Okayama Univ.) |
3rd Author's Name |
Satoshi Denno |
3rd Author's Affiliation |
Okayama University (Okayama Univ.) |
4th Author's Name |
Yoshinori Suzuki |
4th Author's Affiliation |
ATR Wave Engineering Laboratories (ATR) |
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Speaker |
Author-1 |
Date Time |
2019-02-01 10:50:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
IT2018-56, SIP2018-86, RCS2018-263 |
Volume (vol) |
vol.118 |
Number (no) |
no.433(IT), no.434(SIP), no.435(RCS) |
Page |
pp.121-126 |
#Pages |
6 |
Date of Issue |
2019-01-24 (IT, SIP, RCS) |
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