Low-Density Parity-Check Codes of High Girth from Permutation Polynomials
Abstract
Quasi-cyclic low-density parity-check (QC-LDPC) codes are widely used in modern communication standards due to their simple structure and efficient encoder and decoder implementations. However, the commutativity of the circulant permutation matrices used in their construction significantly limits their girth and minimum distance, affecting iterative decoding performance. In this paper, we investigate protograph-based codes constructed using permutation polynomials of higher degree, focusing on a closed family of non-commuting binomial permutation polynomials that enables these constructions to exceed both of these girth and minimum distance upper bounds while maintaining a simple representation. Simulation results demonstrate improved decoding performance compared to constructions based on affine permutation polynomials, which include QC-LDPC codes.
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BibTeX
@misc{hussain2026lowdensity,
title = {{Low-Density Parity-Check Codes of High Girth from Permutation Polynomials}},
author = {Tasawwar Hussain and Anthony Gómez-Fonseca and Tefjol Pllaha},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.03341},
eprint = {2610.03341},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.03341},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Low-Density Parity-Check Codes of High Girth from Permutation Polynomials
AU - Tasawwar Hussain
AU - Anthony Gómez-Fonseca
AU - Tefjol Pllaha
PY - 2026
DA - 2026/10/02
PB - arXiv
DO - 10.48550/arxiv.2610.03341
UR - https://arxiv.org/abs/2610.03341
AB - Quasi-cyclic low-density parity-check (QC-LDPC) codes are widely used in modern communication standards due to their simple structure and efficient encoder and decoder implementations. However, the commutativity of the circulant permutation matrices used in their construction significantly limits their girth and minimum distance, affecting iterative decoding performance. In this paper, we investigate protograph-based codes constructed using permutation polynomials of higher degree, focusing on a closed family of non-commuting binomial permutation polynomials that enables these constructions to exceed both of these girth and minimum distance upper bounds while maintaining a simple representation. Simulation results demonstrate improved decoding performance compared to constructions based on affine permutation polynomials, which include QC-LDPC codes.
ER -