Improved Belief Propagation Decoders for Polar Codes

Cheng Yu Kao*, Chung Hsuan Wang, Chi Chao Chao*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Belief propagation (BP) decoding of polar codes, which can be executed in parallel, is suitable for low-latency applications. In this paper, we first give a sparse parity-check matrix representation for polar codes, based on which several strategies for performance improvement are proposed. We then devise a scheme of which the performance can approach the maximum-likelihood lower bound and that of successive cancellation list (SCL) decoding. For cyclic redundancy check (CRC)-concatenated polar codes, a parity-check matrix representation is also presented so that joint decoding between the CRC code and polar code is possible. An improved CRC-aided BP decoder is hence proposed with performance close to that of the state-of-the-art CRC-aided SCL decoder.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1705-1710
Number of pages6
ISBN (Electronic)9781665475549
DOIs
StatePublished - 2023
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan
Duration: 25 Jun 202330 Jun 2023

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
Country/TerritoryTaiwan
CityTaipei
Period25/06/2330/06/23

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