Soft-Output Fast Successive-Cancellation List Decoder for Polar Codes

The soft-output successive cancellation list (SO-SCL) decoder provides a methodology for estimating the a-posteriori probability log-likelihood ratios by only leveraging the conventional SCL decoder for polar codes. However, the sequential nature of SCL decoding leads to a high decoding latency for the SO-SCL decoder. In this paper, we propose a soft-output fast SCL (SO-FSCL) decoder by incorporating node-based fast decoding into the SO-SCL framework. Simulation results demonstrate that the proposed SO-FSCL decoder significantly reduces the decoding latency without loss of performance compared with the SO-SCL decoder.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1109/wcnc61545.2025.10978525
Primary Topic
Advanced Wireless Communication Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

Soft-Output Fast Successive-Cancellation List Decoder for Polar Codes

Yin Xu, Li Shen, Yongpeng Wu, Xiaohu You et al.
Advanced Wireless Communication Techniques
article

Soft-Output Fast Successive-Cancellation List Decoder for Polar Codes

Yin Xu, Li Shen, Yongpeng Wu, Xiaohu You, Wenjun Zhang, Xiqi Gao
article en

Abstract

The soft-output successive cancellation list (SO-SCL) decoder provides a methodology for estimating the a-posteriori probability log-likelihood ratios by only leveraging the conventional SCL decoder for polar codes. However, the sequential nature of SCL decoding leads to a high decoding latency for the SO-SCL decoder. In this paper, we propose a soft-output fast SCL (SO-FSCL) decoder by incorporating node-based fast decoding into the SO-SCL framework. Simulation results demonstrate that the proposed SO-FSCL decoder significantly reduces the decoding latency without loss of performance compared with the SO-SCL decoder.

Shanghai Jiao Tong University (CN), Southeast University (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Higher Education Discipline Innovation Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 92%
Advanced Wireless Communication Techniques
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