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Paper Abstract and Keywords
Presentation 2018-02-28 13:45
A Study on Time Series Modeling of Duty Cycle for Smart Spectrum Access
Daiki Cho, Kenta Umebayashi (TUAT), Shusuke Narieda (NIT, Akashi College), Miguel Lopez Bentez (UoL) SR2017-112
Abstract (in Japanese) (See Japanese page) 
(in English) For an efficient spectrum sharing by primary user (PU) and secondary user (SU), SU needs to understand the spectrum usage by PU properly. Specifically, it has been reported that statistical information of spectrum usage by PU can enhance the efficiency of the spectrum sharing. In this paper, we focus on the duty cycle (DC) as statistical information of spectrum usage by PU, and we investigate a time-series modeling of DC, such as AR (Auto-Regressive) model. In a general AR model, the time fluctuation of statistics are not considered. In addition, the experimental results verifies that there are two types of periods: high correlation time period and low correlation time period. We propose a model in which the two types of periods and the time fluctuation of statistics. In the proposed time-series model, we employ detection method of the two states (high correlation state and low correlation state). Two different types of time-series models are used for the two sates. We show the validity of proposed model by experiment of spectrum measurement in 2.4 GHz band.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive radio / dynamic spectrum access / smart spectrum access, / spectrum measurement / duty cycle / auto-regressive model / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 457, SR2017-112, pp. 1-7, Feb. 2018.
Paper # SR2017-112 
Date of Issue 2018-02-21 (SR) 
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)
Download PDF SR2017-112

Conference Information
Committee RCS SR SRW  
Conference Date 2018-02-28 - 2018-03-02 
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 SR 
Conference Code 2018-02-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Time Series Modeling of Duty Cycle for Smart Spectrum Access 
Sub Title (in English)  
Keyword(1) Cognitive radio  
Keyword(2) dynamic spectrum access  
Keyword(3) smart spectrum access,  
Keyword(4) spectrum measurement  
Keyword(5) duty cycle  
Keyword(6) auto-regressive model  
Keyword(7)  
Keyword(8)  
1st Author's Name Daiki Cho  
1st Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
2nd Author's Name Kenta Umebayashi  
2nd Author's Affiliation Tokyo University of Agriculture and Technology (TUAT)
3rd Author's Name Shusuke Narieda  
3rd Author's Affiliation National Institute of Technology, Akashi College (NIT, Akashi College)
4th Author's Name Miguel Lopez Bentez  
4th Author's Affiliation University of Liverpool (UoL)
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Speaker Author-1 
Date Time 2018-02-28 13:45:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2017-112 
Volume (vol) vol.117 
Number (no) no.457 
Page pp.1-7 
#Pages 7 
Date of Issue 2018-02-21 (SR) 

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