@inproceedings{414d0da756dc4adf83b82e425b665753,
title = "Degree-degree Correlated Low-density Parity-check Codes Over a Binary Erasure Channel",
abstract = "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.",
author = "Yu, \{Hsiao Wen\} and Lee, \{Cheng En\} and Ruhui Zhang and Chang, \{Cheng Shang\} and Lee, \{Duan Shin\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Symposium on Information Theory, ISIT 2023 ; Conference date: 25-06-2023 Through 30-06-2023",
year = "2023",
doi = "10.1109/ISIT54713.2023.10206567",
language = "英语",
series = "IEEE International Symposium on Information Theory - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2362--2367",
booktitle = "2023 IEEE International Symposium on Information Theory, ISIT 2023",
address = "美国",
}