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Degree-degree Correlated Low-density Parity-check Codes Over a Binary Erasure Channel
Conference paper

Degree-degree Correlated Low-density Parity-check Codes Over a Binary Erasure Channel

Hsiao-Wen Yu, Cheng-En Lee, Ruhui Zhang, Cheng-Shang Chang and Duan-Shin Lee
IEEE International Symposium on Information Theory - Proceedings, Vol.2023-June, pp.2362-2367
2023

Abstract

Theoretical Computer Science Information Systems Modeling and Simulation Applied Mathematics
Most existing works on analyzing the performance of a random ensemble of low-density parity-check (LDPC) codes assume that the degree distributions of the two ends of a randomly selected edge are independent. In the paper, we take one step further and consider ensembles of LDPC codes with degree-degree correlations. For this, we propose two methods to construct an ensemble of degree-degree correlated LDPC codes. We then derive a system of density evolution equations for such degree-degree correlated LDPC codes over a binary erasure channel (BEC). By conducting extensive numerical experiments, we show how the degree-degree correlation affects the performance of LDPC codes. Our numerical results show that LDPC codes with negative degree-degree correlation could improve the maximum tolerable erasure probability. Moreover, increasing the negative degree-degree correlation could lead to better unequal error protection (UEP) design.

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