Decoding error probability of random parity-check matrix ensemble over the erasure channel

Abstract In this paper we carry out an in-depth study on the average decoding error probability of the random parity-check matrix ensemble over the erasure channel under three decoding principles, namely unambiguous decoding, maximum likelihood decoding and list decoding. We obtain explicit formulas for the average decoding error probabilities of the random parity-check matrix ensemble under these three decoding principles and compute the error exponents. Moreover, for unambiguous decoding, we compute the variance of the decoding error probability of the random parity-check matrix ensemble and the error exponent of the variance, which implies a strong concentration result, that is, roughly speaking, the ratio of the decoding error probability of a random linear code in the ensemble and the average decoding error probability of the ensemble converges to 1 with high probability when the code length goes to infinity.

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Publication Details

Journal
Designs Codes and Cryptography
Published
2024-10-16
DOI
https://doi.org/10.1007/s10623-024-01516-5
Primary Topic
Error Correcting Code Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Decoding error probability of random parity-check matrix ensemble over the erasure channel

Chin Hei Chan, Fang‐Wei Fu, Maosheng Xiong
Designs Codes and Cryptography
Error Correcting Code Techniques
article

Decoding error probability of random parity-check matrix ensemble over the erasure channel

Chin Hei Chan, Fang‐Wei Fu, Maosheng Xiong
article en

Abstract

Abstract In this paper we carry out an in-depth study on the average decoding error probability of the random parity-check matrix ensemble over the erasure channel under three decoding principles, namely unambiguous decoding, maximum likelihood decoding and list decoding. We obtain explicit formulas for the average decoding error probabilities of the random parity-check matrix ensemble under these three decoding principles and compute the error exponents. Moreover, for unambiguous decoding, we compute the variance of the decoding error probability of the random parity-check matrix ensemble and the error exponent of the variance, which implies a strong concentration result, that is, roughly speaking, the ratio of the decoding error probability of a random linear code in the ensemble and the average decoding error probability of the ensemble converges to 1 with high probability when the code length goes to infinity.

Designs Codes and CryptographyVol. 93(1)
Hong Kong University of Science and Technology (HK), Nankai University (CN), Laboratoire de physique de la matière condensée (FR), University of Hong Kong (HK)
National Natural Science Foundation of China, Nankai University, Hong Kong University of Science and Technology, Nankai Zhide Foundation, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 80%
Error Correcting Code Techniques
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