论文标题
迈向每秒通信：$ g_n $ -coset代码的低复杂性平行解码
Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of $G_N$-Coset Codes
论文作者
论文摘要
最近，提出了$ g_n $ -coset代码的并行解码框架。通过平行解码独立的组件极性代码来实现高吞吐量。可以使用各种算法来解码这些组件代码，从而实现灵活的吞吐量 - 性能权衡。在这项工作中，我们采用SC作为组件解码器，以实现权衡的最高限制。对软输出组件解码器的好处是组件解码器之间的复杂性和简单（二进制）互连。为了减少性能降解，我们将误差检测器和对数可能比率（LLR）发生器集成到每个组件解码器中。 LLR发生器，特别是其中的阻尼因子，是由遗传算法设计的。这种低复杂的设计可以在7nm技术下实现$ 533Gbps/mm^2美元的面积效率。
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.
