Presentation 2021-01-21
Performance Evaluation of Convolutional Poalr Code with Neural Network Decoder
Riko Maeda, Satoshi Suyama, Takahiro Asai, Nobuhiko Miki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The Polar code proposed by Ar?kan 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)
Keyword(in English) Convolutional Polar codes / Convolutional Polar codes
Paper # IT2020-67,SIP2020-45,RCS2020-158
Date of Issue 2021-01-14 (IT, SIP, RCS)

Conference Information
Committee SIP / IT / RCS
Conference Date 2021/1/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Kazunori Hayashi(Kyoto Univ.) / Tadashi Wadayama(Nagoya Inst. of Tech.) / Eiji Okamoto(Nagoya Inst. of Tech.)
Vice Chair Yukihiro Bandou(NTT) / Toshihisa Tanaka(Tokyo Univ. Agri.&Tech.) / Tetsuya Kojima(Tokyo Kosen) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba)
Secretary Yukihiro Bandou(Hosei Univ.) / Toshihisa Tanaka(Waseda Univ.) / Tetsuya Kojima(Yamaguchi Univ.) / Fumiaki Maehara(Saga Univ.) / Toshihiko Nishimura(Kyushu Univ.) / Tomoya Tandai(NEC)
Assistant Yuichi Tanaka(Tokyo Univ. Agri.&Tech.) / Takahiro Ohta(Senshu Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO)

Paper Information
Registration To Technical Committee on Signal Processing / Technical Committee on Information Theory / Technical Committee on Radio Communication Systems
Language JPN
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
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.)
Date 2021-01-21
Paper # IT2020-67,SIP2020-45,RCS2020-158
Volume (vol) vol.120
Number (no) IT-320,SIP-321,RCS-322
Page pp.pp.23-27(IT), pp.23-27(SIP), pp.23-27(RCS),
#Pages 5
Date of Issue 2021-01-14 (IT, SIP, RCS)