面积和延迟优化的基于最小和的高吞吐量LDPC解码器架构

Matthias Korb, T. Noll
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引用次数: 5

摘要

低密度奇偶校验码(LDPC)的误码率接近香农限制。因此,需要具有较大块长度的代码。这些代码导致高块延迟,特别是复杂的解码器,这与要求的高吞吐率相反。目前已知的高吞吐量解码器结构主要有两种。位并行架构产生小块延迟和高吞吐率,而位串行架构的特点是硅面积小。我们提出了一个基于最小和的高吞吐量LDPC解码器架构的系统搜索,导致一组at高效架构。与其他解码器实现相比,精确的成本模型预测at复杂性降低60%。此外,数字串行通信的引入使面积和吞吐率之间的权衡保持低at复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Area and latency optimized high-throughput Min-Sum based LDPC decoder architectures
Low Density Parity Check codes (LDPC) achieve bit error rates close to the Shannon limit. Therefore, codes with large block lengths are required. These codes lead to high block latencies and especially to complex decoders, which are contrary to the demanded high throughput rates. Mainly two high throughput decoder architectures are known. A bit-parallel architecture yields in a small block latency and a high throughput rate while a bit-serial architecture features a small silicon area. We present a systematic search for high-throughput Min-Sum based LDPC decoder architectures leading to a set of AT-efficient architectures. In comparison to other decoder implementations accurate cost models predict a 60 % reduction in AT-complexity. Furthermore, the introduction of a digit-serial communication enables a trade-off between area and throughput rate retaining the low AT-complexity.
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