Recently, a parallel decoding framework of GN-coset codes was proposed. High throughput is achieved by decoding the independent component polar codes in parallel. Various algorithms can be employed to decode these component codes, enabling a flexible throughput-performance tradeoff. In this work, we adopt SC as the component decoders to achieve the highest-throughput end of the tradeoff. The benefits over soft-output component decoders are reduced complexity and simpler (binary) interconnections among component decoders. To reduce performance degradation, we integrate an error detector and a log-likelihood ratio (LLR) generator into each component decoder. The LLR generator, specifically the damping factors therein, is designed by a genetic algorithm. This low-complexity design can achieve an area efficiency of 533Gbps/mm2 under 7nm technology.
@article{arxiv.2004.09907,
title = {Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes},
author = {Xianbin Wang and Jiajie Tong and Huazi Zhang and Shengchen Dai and Rong Li and Jun Wang},
journal= {arXiv preprint arXiv:2004.09907},
year = {2020}
}