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Paper Abstract and Keywords
Presentation 2019-01-25 16:40
A study on widely acceptable model for spectrum usage
Kento Yamada, Kenta Umebayashi (TUAT)
Abstract (in Japanese) (See Japanese page) 
(in English) We investigate a flexible and scalable spectrum usage model in time domain for an enhanced dynamic spectrum access (DSA). Specifically, we focus on duty cycle (DC) as a spectrum usage metric, and observed DC (O-DC) following a stochastic process. Modeling stochastic behavior of O-DC is important research question as this can lead to improved DSA performance. Typically, a single well-known distribution, such as Beta distribution, is used for modeling the O-DC. Due to the limitation of the number of parameters in the single distribution, accuracy of the typical model is not acceptable. For this problem, mixture distribution in which more than one distribution is used has been employed. The accuracy obtained by mixture distribution can be improved if the number of distributions and their parameters are set appropriately. For this problem, we employ nonparametric Bayesian model (NPBM) in which the number of distributions can be infinite (it has no upper limit). However, the conventional NPBM has low accuracy in some cases. To overcome this issue, in this paper, we propose a novel method called modified NPBM method for setting the parameters properly. We show the validity of the proposed method based on long-term spectrum measurement results.
Keyword (in Japanese) (See Japanese page) 
(in English) Dynamic Spectrum Access / Spectrum usage ratio / Mixture distribution / Nonparametric Bayes / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 421, SR2018-119, pp. 141-147, Jan. 2019.
Paper # SR2018-119 
Date of Issue 2019-01-17 (SR) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380

Conference Information
Committee SR  
Conference Date 2019-01-24 - 2019-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Corasse, Fukushima city (Fukushima prefecture) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) cognitive radio, machine learning application, heterogeneous network, SDN, IoT etc. 
Paper Information
Registration To SR 
Conference Code 2019-01-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study on widely acceptable model for spectrum usage 
Sub Title (in English)  
Keyword(1) Dynamic Spectrum Access  
Keyword(2) Spectrum usage ratio  
Keyword(3) Mixture distribution  
Keyword(4) Nonparametric Bayes  
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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)
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Speaker
Date Time 2019-01-25 16:40:00 
Presentation Time 25 
Registration for SR 
Paper # IEICE-SR2018-119 
Volume (vol) IEICE-118 
Number (no) no.421 
Page pp.141-147 
#Pages IEICE-7 
Date of Issue IEICE-SR-2019-01-17 


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