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Paper Abstract and Keywords
Presentation 2012-03-07 13:00
Spectrum Sensing Algorithms via Finite Random Matrix Theory
Wensheng Zhang (Keio Univ.), Giuseppe Abreu (Univ. of Oulu), Mamiko Inamori, Yukitoshi Sanada (Keio Univ.) SR2011-112
Abstract (in Japanese) (See Japanese page) 
(in English) We address the Primary User (PU) detection (spectrum sensing) problem, relevant to cognitive radio, from a finite random matrix theoretical (RMT) perspective. Specifically, we employ recently-derived \emph{closed-form} and \emph{exact} expressions for the distribution of the standard condition number (SCN) of uncorrelated and semi-correlated random dual central Wishart matrices of \emph{finite} sizes in the design Hypothesis-Testing algorithms to detect the presence of PU signals. In particular, the algorithms are designed with basis on the SCN distribution in the absence ($\mathcal{H}_0$) and in the presence ($\mathcal{H}_1$) of PU signals, respectively. Due to an inherent property of the SCN's, the $\mathcal{H}_0$ test requires no estimation of SNR or any other information on the PU signal, while the $\mathcal{H}_1$ test requires SNR only. It is also shown that the proposed finite RMT-based algorithms outperforms all similar alternatives currently known in the literature, at a substantially lower complexity.
Keyword (in Japanese) (See Japanese page) 
(in English) Cognitive Radio / Spectrum Sensing / Random Matrix / Standard Condition Number / Hypothesis Test / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 452, SR2011-112, pp. 57-63, March 2012.
Paper # SR2011-112 
Date of Issue 2012-02-29 (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 SR2011-112

Conference Information
Committee SR RCS SRW  
Conference Date 2012-03-07 - 2012-03-09 
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 2012-03-SR-RCS-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Spectrum Sensing Algorithms via Finite Random Matrix Theory 
Sub Title (in English)  
Keyword(1) Cognitive Radio  
Keyword(2) Spectrum Sensing  
Keyword(3) Random Matrix  
Keyword(4) Standard Condition Number  
Keyword(5) Hypothesis Test  
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1st Author's Name Wensheng Zhang  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Giuseppe Abreu  
2nd Author's Affiliation University of Oulu (Univ. of Oulu)
3rd Author's Name Mamiko Inamori  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Yukitoshi Sanada  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-3 
Date Time 2012-03-07 13:00:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2011-112 
Volume (vol) vol.111 
Number (no) no.452 
Page pp.57-63 
#Pages 7 
Date of Issue 2012-02-29 (SR) 

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