article · 2024
Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC
Abdoul-Hadi Konfé, Pasteur Poda, Raphaël Le Bidan
Cited by 1Abstract and details only
Abstract
We investigate in this paper how to optimize the number of iterations required for sliding window decoding of low-density parity-check (LDPC) codes. The aim of this study is to reduce decoding complexity and overcome the phenomenon of decoder blocking. We propose a new design of SC-LDPC codes based on some 5G short LDPC codes to reduce decoding complexity. Simulation results demonstrate a potential reduction in decoding computational complexity of the order of 30% without significant degradation in decoding performance. In addition to taking care of complexity, this mitigates the problem of sliding window decoder blocking by reducing the probability of observing this phenomenon.
Cite this paper
Konfé, A.-H., Poda, P., & Le Bidan, R. (2024). Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC. https://doi.org/10.1109/wincom62286.2024.10657015
Konfé, Abdoul-Hadi, et al. “Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC.” 2024, pp. 1–7, https://doi.org/10.1109/wincom62286.2024.10657015.
Konfé, Abdoul-Hadi, Pasteur Poda, and Raphaël Le Bidan. 2024. “Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC.” https://doi.org/10.1109/wincom62286.2024.10657015.
Konfé, A.-H., Poda, P. and Le Bidan, R. (2024) ‘Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC’. Available at: https://doi.org/10.1109/wincom62286.2024.10657015.
@article{konfe2024complexity,
title = {{Low-Complexity Sliding Window Decoding of Spatially-Coupled LDPC Codes Constructed from Short 5G NR LDPC}},
author = {Konfé, Abdoul-Hadi and Poda, Pasteur and Le Bidan, Raphaël},
pages = {1--7},
year = {2024},
doi = {10.1109/wincom62286.2024.10657015}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.