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Paper Abstract and Keywords
Presentation 2017-05-25 10:40
Primary user detection in cognitive radio using spectral-correlation features and stacked denoising autoencoders based on signal classification
Hang Liu, Xu Zhu, Takeo Fujii (UEC) SR2017-2
Abstract (in Japanese) (See Japanese page) 
(in English) For the solution to settle problems of either spectrum scarcity as well as spectrum allocation, which would be severely aggravated due to the hunger of bandwidth and richness of feature of wire applications, the cognitive radio (CR) system has been proposed to fit into those circumstances. This paper provides a novel primary user (PU) presence detection approach in CR system on account of applying the algorithm of stacked denoising autoencoders (SDAE) network when analyzing and processing the cyclic spectral correlation features. With regard to the non-known bandwidths nor carrier frequency, conventional cyclic spectral analysis can be the answer to application of detection or classifying signals, however, serious time of observation make a depravation in approving performance. At this point, the stacked denoising autoencoders network, which is freshly employed over the signal classification scenario, could help pick up the feature of input analyzed spectral correlation automatically after appropriate preprocessing and give out the PU detection results, which contain existence or non-existence as two classified categories. In addition to that, in contrast to the conventional methods for CR system, the presented results demonstrate our approach's superiority for only a short allowed detection executing time.
Keyword (in Japanese) (See Japanese page) 
(in English) Spectrum Sensing / stacked denoising autoencoders / Cyclic Spectral Correlation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 56, SR2017-2, pp. 7-11, May 2017.
Paper # SR2017-2 
Date of Issue 2017-05-18 (SR) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee SR  
Conference Date 2017-05-25 - 2017-05-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo big sight 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Technical Exhibition, etc. 
Paper Information
Registration To SR 
Conference Code 2017-05-SR 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Primary user detection in cognitive radio using spectral-correlation features and stacked denoising autoencoders based on signal classification 
Sub Title (in English)  
Keyword(1) Spectrum Sensing  
Keyword(2) stacked denoising autoencoders  
Keyword(3) Cyclic Spectral Correlation  
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1st Author's Name Hang Liu  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Xu Zhu  
2nd Author's Affiliation The University of Electro-Communications (UEC)
3rd Author's Name Takeo Fujii  
3rd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2017-05-25 10:40:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2017-2 
Volume (vol) vol.117 
Number (no) no.56 
Page pp.7-11 
#Pages
Date of Issue 2017-05-18 (SR) 


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