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Paper Abstract and Keywords
Presentation 2021-01-21 10:55
Performance Evaluation of Convolutional Poalr Code with Neural Network Decoder
Riko Maeda (Kagawa Univ.), Satoshi Suyama, Takahiro Asai (NTT DOCOMO), Nobuhiko Miki (Kagawa Univ.) IT2020-67 SIP2020-45 RCS2020-158
Abstract (in Japanese) (See Japanese page) 
(in English) The Polar code proposed by Arıkan is a code that can achieve a property approaching the Shannon limit under successive cancellation decoding (SCD) by utilizing the phenomenon of communication channel polarization. In addition, as a method to prevent the degradation of the properties of Polar codes when the code length is relatively short, the convolutional Polar code, which introduces the convolutional code structure, has been proposed. In this paper, we propose the use of Neural Network Decoder (NND) to reduce the decoding delay in SCD of the convolutional Polar code. Specifically, we design an NND for decoding embedded Polar codes and evaluate its decoding performance by computer simulation for very short code lengths as an initial study.
Keyword (in Japanese) (See Japanese page) 
(in English) Convolutional Polar codes / Convolutional Polar codes / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 322, RCS2020-158, pp. 23-27, Jan. 2021.
Paper # RCS2020-158 
Date of Issue 2021-01-14 (IT, SIP, RCS) 
ISSN Online edition: ISSN 2432-6380
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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 SIP IT RCS  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2021-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Convolutional Poalr Code with Neural Network Decoder 
Sub Title (in English)  
Keyword(1) Convolutional Polar codes  
Keyword(2) Convolutional Polar codes  
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1st Author's Name Riko Maeda  
1st Author's Affiliation Kagawa University (Kagawa Univ.)
2nd Author's Name Satoshi Suyama  
2nd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
3rd Author's Name Takahiro Asai  
3rd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
4th Author's Name Nobuhiko Miki  
4th Author's Affiliation Kagawa University (Kagawa Univ.)
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Date Time 2021-01-21 10:55:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2020-67, SIP2020-45, RCS2020-158 
Volume (vol) vol.120 
Number (no) no.320(IT), no.321(SIP), no.322(RCS) 
Page pp.23-27 
#Pages
Date of Issue 2021-01-14 (IT, SIP, RCS) 


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