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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
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)
Download PDF 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) 
Topics (in English)  
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)  
Keyword(1) Channel predication  
Keyword(2) Real environment  
Keyword(3) Categorization of busy/idle length  
Keyword(4) Autoregressive model  
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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Date Time 2019-02-01 10:50:00 
Presentation Time 25 
Registration for RCS 
Paper # IEICE-IT2018-56,IEICE-SIP2018-86,IEICE-RCS2018-263 
Volume (vol) IEICE-118 
Number (no) no.433(IT), no.434(SIP), no.435(RCS) 
Page pp.121-126 
#Pages IEICE-6 
Date of Issue IEICE-IT-2019-01-24,IEICE-SIP-2019-01-24,IEICE-RCS-2019-01-24 

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