arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.09907cs.ITmath.IT
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面向每秒太比特通信的$G_N$ -陪集码的低复杂度并行译码

Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes

Xianbin Wang, Jiajie Tong, Huazi Zhang, Shengchen Dai, Rong Li, Jun Wang

摘要:

最近,提出了一种$G_N$ -陪集码的并行译码框架。通过并行解码独立分量极化码来实现高吞吐量。可以采用各种算法来解码这些分量码,从而实现灵活的吞吐量-性能折衷。在这项工作中,我们采用SC作为组件解码器,以实现最高吞吐量的权衡。相对于软输出分量解码器的好处是降低了复杂性,并且分量解码器之间的互连(二进制)更简单。为了减少性能下降,我们集成了一个错误检测器和对数似然比(LLR)生成器到每个组件解码器。LLR生成器,特别是其中的阻尼因子,通过遗传算法设计。这种低复杂度的设计可以在7 nm工艺下实现$533Gbps/mm^2$的面积效率。

英文摘要:

Recently, a parallel decoding framework of $G_N$-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 $533Gbps/mm^2$ under 7nm technology.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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