Derived dynamic scheduling for belief propagation decoding of LDPC codes

Author:

Xu Xiaotian1ORCID,Zhou Hua1,Zhao Jiayi1

Affiliation:

1. School of Electronic and Information Engineering Nanjing University of Information Science and Technology Nanjing China

Abstract

AbstractAmong numerous dynamic scheduling strategies for low‐density parity‐check codes, many of them are of high complexity due to repetitive computation and ordering of belief residuals. To address these challenges, two novel approaches are proposed: the derived informed variable‐to‐check residual belief propagation and the derived variable‐node and variable‐to‐check‐edge residual belief propagation for low‐density parity‐check codes. Simulation results show that the derived dynamic scheduling exhibits a substantial gain of approximately 0.15 dB in signal‐to‐noise ratio over the non‐derived one with considerably lower decoding complexity when targeting a bit‐error rate of 10−4.

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Reference17 articles.

1. Low-density parity-check codes

2. Near Shannon limit performance of low density parity check codes

3. Elidan G. McGraw I. Koller D.:Residual belief propagation: Informed scheduling for asynchronous message passing. In:Proceedings of 22nd Conference on Uncertainty in Artificial Intelligence pp.165–173 Cambridge MA(2006)

4. Casado A.V. Griot M. Wesel R.:Informed dynamic scheduling for belief‐propagation decoding of LDPC codes. In:Proceedings of IEEE International Conference on Communication pp.923–937 Glasgow(2007)

5. LDPC Decoders with Informed Dynamic Scheduling

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