Study of Adaptive Reliability-Driven Conditional Innovation Decoding for LDPC Codes
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arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866915720763277312 |
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| author | Touati, Hassan de Lamare, Rodrigo C. |
| author_facet | Touati, Hassan de Lamare, Rodrigo C. |
| contents | In this work, we present an adaptive reliability-driven conditional innovation (AR-CID) decoding algorithm for low-density parity check (LDPC) codes. The proposed AR-CID decoding algorithm consists of one stage of message quality checking and another stage of message passing refinement, which are incorporated into a residual belief propagation decoding strategy. An analysis of the AR-CID decoding algorithm is carried out along with a study of its computational complexity and latency characteristics. Simulation results for several examples of LDPC codes, including short and medium-length codes over an extended range of channel conditions, indicate that the proposed AR-CID decoding algorithm outperforms competing decoding techniques and has an extremely fast convergence, making it particularly suitable for low-delay applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_06732 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Study of Adaptive Reliability-Driven Conditional Innovation Decoding for LDPC Codes Touati, Hassan de Lamare, Rodrigo C. Information Theory In this work, we present an adaptive reliability-driven conditional innovation (AR-CID) decoding algorithm for low-density parity check (LDPC) codes. The proposed AR-CID decoding algorithm consists of one stage of message quality checking and another stage of message passing refinement, which are incorporated into a residual belief propagation decoding strategy. An analysis of the AR-CID decoding algorithm is carried out along with a study of its computational complexity and latency characteristics. Simulation results for several examples of LDPC codes, including short and medium-length codes over an extended range of channel conditions, indicate that the proposed AR-CID decoding algorithm outperforms competing decoding techniques and has an extremely fast convergence, making it particularly suitable for low-delay applications. |
| title | Study of Adaptive Reliability-Driven Conditional Innovation Decoding for LDPC Codes |
| topic | Information Theory |
| url | https://arxiv.org/abs/2601.06732 |