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Column-Weighted Probabilistic GDBF Decoder for Irregular LDPC Codes

EasyChair Preprint no. 10648

6 pagesDate: August 1, 2023


Existing bit-flipping algorithms, when used for irregular low-density parity-check (LDPC) codes, often suffer from performance degradation due to the imbalance caused by the irregular codeword structure. To alleviate this problem, this paper presents a column-weighted probabilistic gradient-descent bit-flipping (CW-PGDBF) decoder for irregular LDPC codes. Different weighting factors are allocated to variable nodes with different column weights to solve the imbalance. Furthermore, a modified probabilistic flipping rule is employed to reduce the hardware complexity while maintaining the error-correction performance. Simulation results demonstrate that the proposed algorithm can achieve significantly improved performance compared with other BF-based algorithms for irregular codes. Additionally, a hardware architecture for the CW-PGDBF decoder is proposed with acceptable hardware overhead compared to the PGDBF decoder.

Keyphrases: bit-flipping, column-wise weighting factor, hardware implementation, irregular codes, Low-density parity-check codes

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Changfu He and Keyue Deng and Suwen Song and Zhongfeng Wang},
  title = {Column-Weighted Probabilistic GDBF Decoder for Irregular LDPC Codes},
  howpublished = {EasyChair Preprint no. 10648},

  year = {EasyChair, 2023}}
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