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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2410.13131 |
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| _version_ | 1866910654187700224 |
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| author | Touati, H. de Lamare, R. C. |
| author_facet | Touati, H. de Lamare, R. C. |
| contents | In this work, we investigate the decoding of Low-Density Parity-Check (LDPC) codes using informed dynamic scheduling algorithms that require a reduced number of iterations. In particular, we devise the weighted residual layered belief propagation (WR-LBP) decoding algorithm, which exploits the residual within a structured layer framework to speed the number of required decoding iterations. The proposed WR-LBP algorithm is assessed against important LDPC decoding algorithms, in terms of the number of iterations required for convergence and the bit error rates. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_13131 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Study of Weighted Residual Layered Belief Propagation for Decoding of LDPC Codes Touati, H. de Lamare, R. C. Information Theory In this work, we investigate the decoding of Low-Density Parity-Check (LDPC) codes using informed dynamic scheduling algorithms that require a reduced number of iterations. In particular, we devise the weighted residual layered belief propagation (WR-LBP) decoding algorithm, which exploits the residual within a structured layer framework to speed the number of required decoding iterations. The proposed WR-LBP algorithm is assessed against important LDPC decoding algorithms, in terms of the number of iterations required for convergence and the bit error rates. |
| title | Study of Weighted Residual Layered Belief Propagation for Decoding of LDPC Codes |
| topic | Information Theory |
| url | https://arxiv.org/abs/2410.13131 |