Soft-Output Fast Successive-Cancellation List Decoder for Polar Codes
Li Shen, Yongpeng Wu, Yin Xu, Xiaohu You, Xiqi Gao, Wenjun Zhang
TL;DR
This work tackles the high decoding latency of soft-output polar decoders by proposing SO-FSCL, a soft-output fast SCL decoder that uses node-based fast decoding for Rate0, Rate1, REP, and SPC nodes. It introduces a practical approximation to the codebook probability via $P^*_{\\mathcal{U}}(\\bm{y}^N)$, allowing APP LLRs to be computed under dynamic frozen bits. The approach achieves substantial latency reductions (at least $76\%$) over SO-SCL while preserving BER/BLER performance, and demonstrates strong results on 5G polar codes and MIMO channels. These findings indicate that SO-FSCL offers a viable, efficient route for low-latency soft-output decoding in practical polar-code deployments.
Abstract
The soft-output successive cancellation list (SOSCL) 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.
