Design of Parity-Check Polar Codes Under Belief Propagation List Decoding

In this letter, we consider the parity-check polar (PC-Polar) code design under belief propagation list (BPL) decoding. First, we employ a Monte-Carlo method with BPL decoding to identify unreliable bits, from which parity-check (PC) bits are selected. Then the partial orders of the inner polar code are leveraged to develop a practical correlation metric for designing PC constraints. We also utilize the PC constraints to propose an improved BPL decoding with bit flipping. Simulations show the designed PC-Polar codes outperform state-of-the-art PC-Polar codes under BPL decoding, and the proposed BPLF decoding approaches successive cancellation list (SCL) decoding performance.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-10-15
DOI
https://doi.org/10.1109/lwc.2025.3621620
Primary Topic
Error Correcting Code Techniques
Type
article
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article

Design of Parity-Check Polar Codes Under Belief Propagation List Decoding

Xiaofu Wu, Chen Wang
IEEE Wireless Communications Letters
Error Correcting Code Techniques
article

Design of Parity-Check Polar Codes Under Belief Propagation List Decoding

Xiaofu Wu, Chen Wang
article en

Abstract

In this letter, we consider the parity-check polar (PC-Polar) code design under belief propagation list (BPL) decoding. First, we employ a Monte-Carlo method with BPL decoding to identify unreliable bits, from which parity-check (PC) bits are selected. Then the partial orders of the inner polar code are leveraged to develop a practical correlation metric for designing PC constraints. We also utilize the PC constraints to propose an improved BPL decoding with bit flipping. Simulations show the designed PC-Polar codes outperform state-of-the-art PC-Polar codes under BPL decoding, and the proposed BPLF decoding approaches successive cancellation list (SCL) decoding performance.

IEEE Wireless Communications LettersVol. 15
Nanjing University of Posts and Telecommunications (CN)
Openalex Percentile: Top 65%
Error Correcting Code Techniques
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