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Paper Abstract and Keywords
Presentation 2018-03-02 10:50
Spectrum usage model for Smart Spectrum Access
Kento Yamada, Kenta Umebayashi (TUAT), Janne Lehtomaki, Shashika Manosha Kapuruhamy Badalge (Univ. of Oulu) SR2017-133
Abstract (in Japanese) (See Japanese page) 
(in English) In a smart spectrum access, the statistical information in terms of spectrum usage can enhance a spectrum sharing dramatically. One of the elemental technologies in the smart spectrum access is a modeling of the statistical information. Specifically, it is required that the random aspect of spectrum usage is captured by the statistical modeling. Conventionally, single typical distribution has been used for the modeling. However, investigations based on spectrum measurements indicate a difficulty of the modeling. For this problem, a mixture distribution using multiple distributions is a valid approach. However, it is required to develop clustering in which the number of multiple distributions (number of clusters) and clustering of observed samples are executed properly.
In this paper, duty cycle is considered as random process, and we investigate three modelings (single beta distribution modeling, finite beta mixture modeling, and infinite beta mixture modeling).In the infinite beta mixture model, Bayesian nonparametric approach is employed for the clustering.
We compare the above three modelings by spectrum usage measurement results in two frequency bands (WLAN: Wireless Local Area Network and LTE: Long Term Evolution).
Keyword (in Japanese) (See Japanese page) 
(in English) Dynamic Spectrum Access / Spectrum measurement / Spectrum usage ratio / Mixture distribution / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 457, SR2017-133, pp. 109-116, Feb. 2018.
Paper # SR2017-133 
Date of Issue 2018-02-21 (SR) 
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)
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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) Spectrum usage model for Smart Spectrum Access 
Sub Title (in English)  
Keyword(1) Dynamic Spectrum Access  
Keyword(2) Spectrum measurement  
Keyword(3) Spectrum usage ratio  
Keyword(4) Mixture distribution  
1st Author's Name Kento Yamada  
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 Janne Lehtomaki  
3rd Author's Affiliation University of Oulu (Univ. of Oulu)
4th Author's Name Shashika Manosha Kapuruhamy Badalge  
4th Author's Affiliation University of Oulu (Univ. of Oulu)
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Date Time 2018-03-02 10:50:00 
Presentation Time 25 
Registration for SR 
Paper # IEICE-SR2017-133 
Volume (vol) IEICE-117 
Number (no) no.457 
Page pp.109-116 
#Pages IEICE-8 
Date of Issue IEICE-SR-2018-02-21 

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