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Paper Abstract and Keywords
Presentation 2019-07-11 13:30
SNR estimation method using convolutional neural network
Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) aided Signal-to-Noise power Ratio (SNR) estimation. The Power Spectral Density (PSD) values are trained for SNR classification and it is mapped to respective Modulation and Coding Scheme (MCS) sets. Once trained, optimal MCS can be determined in low calculation complexity. The proposed approach is robust especially in high mobility environment since the PSD appearance is hardly influenced by the Doppler shift. Its effectiveness in terms of throughput is presented through computer simulations compared to the existing SNR estimation method using Neural Network (NN) based link adaptation scheme.
Keyword (in Japanese) (See Japanese page) 
(in English) CNN / AMC / SNR estimation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 108, RCS2019-131, pp. 149-154, July 2019.
Paper # RCS2019-131 
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI) 
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)
Download PDF RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47

Conference Information
Committee SeMI RCS NS SR RCC  
Conference Date 2019-07-10 - 2019-07-12 
Place (in Japanese) (See Japanese page) 
Place (in English) I-Site Nanba(Osaka) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication and Networked Control for the Future Radio of the AI Age, etc 
Paper Information
Registration To RCS 
Conference Code 2019-07-SeMI-RCS-NS-SR-RCC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) SNR estimation method using convolutional neural network 
Sub Title (in English)  
Keyword(1) CNN  
Keyword(2) AMC  
Keyword(3) SNR estimation  
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1st Author's Name Shun Kojima  
1st Author's Affiliation Chiba University (Chiba Univ.)
2nd Author's Name Kazuki Maruta  
2nd Author's Affiliation Chiba University (Chiba Univ.)
3rd Author's Name Chang-Jun Ahn  
3rd Author's Affiliation Chiba University (Chiba Univ.)
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Speaker Author-1 
Date Time 2019-07-11 13:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCC2019-38, NS2019-74, RCS2019-131, SR2019-50, SeMI2019-47 
Volume (vol) vol.119 
Number (no) no.106(RCC), no.107(NS), no.108(RCS), no.109(SR), no.110(SeMI) 
Page pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI) 
#Pages
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI) 


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