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Paper Abstract and Keywords
Presentation 2020-03-04 12:15
[Technology Exhibit] Utilizing Deep Learning for Wireless Communications -- Modulation Method Classification using CNN --
Akemi Tanaka (MathWorks) RCS2019-329 SR2019-113 SRW2019-59
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, deep learning has been applied and put to practical use in various fields. Application to wireless communication systems is also being studied but the problem that it cannot be tried immediately because of the need for specialized knowledge and labor and few examples of handling time-series data. Therefore, this paper describes an example of application to a wireless communication system using the workflow of deep learning provided by MATLAB®. Specifically, we introduce examples of classifying signal waveforms modulated by various modulation methods using CNN, which is a deep neural network for images. In addition, we evaluate the classification performance by simulation and describe the experimental results of classification using real signals using the software defined radio ADALM-PLUTO.
Keyword (in Japanese) (See Japanese page) 
(in English) Software defined radio / Wireless communication / Deep Learning / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 448, RCS2019-329, pp. 51-54, March 2020.
Paper # RCS2019-329 
Date of Issue 2020-02-26 (RCS, SR, SRW) 
ISSN Online edition: ISSN 2432-6380
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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)
Download PDF RCS2019-329 SR2019-113 SRW2019-59

Conference Information
Committee RCS SR SRW  
Conference Date 2020-03-04 - 2020-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2020-03-RCS-SR-SRW 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Utilizing Deep Learning for Wireless Communications 
Sub Title (in English) Modulation Method Classification using CNN 
Keyword(1) Software defined radio  
Keyword(2) Wireless communication  
Keyword(3) Deep Learning  
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1st Author's Name Akemi Tanaka  
1st Author's Affiliation MathWorks (MathWorks)
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Speaker Author-1 
Date Time 2020-03-04 12:15:00 
Presentation Time 20 minutes 
Registration for RCS 
Paper # RCS2019-329, SR2019-113, SRW2019-59 
Volume (vol) vol.119 
Number (no) no.448(RCS), no.449(SR), no.450(SRW) 
Page pp.51-54(RCS), pp.3-6(SR), pp.3-6(SRW) 
#Pages
Date of Issue 2020-02-26 (RCS, SR, SRW) 


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