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 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) |
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SR2017-2 |
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) |
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Spectrum Sensing |
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stacked denoising autoencoders |
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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 |
5 |
Date of Issue |
2017-05-18 (SR) |
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