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设计低延迟分层规范化最低总和低密度平价检查解码基于NAND闪存频道的透特征的设计

Yingge Li¹, Haihua Hu¹

¹Information Engineering, Guangdong University of Technology, Guangzhou 510006, China.

Entropy (Basel, Switzerland)

|September 27, 2024

概括

低密度平价检查 (LDPC) 代码的新解码技术显著降低了高速数据通信中的延迟. 这些方法优化基于比特可靠性的分层处理单元,提高存储系统性能.

科学领域:

计算机科学计算机科学
电气工程电气工程
信息理论信息理论

背景情况:

高速的大数据通信需要低存储延迟.
低密度平价检查 (LDPC) 代码对于闪存通道至关重要.
代LDPC解码由于消息传输而遭受高延迟.

研究的目的:

为了解决LDPC代码中高解码延迟的问题.
引入新的解码技术以提高效率.
通过考虑不平衡位可靠性来优化解码过程.

主要方法:

开发了基于串行特征的分层规范化最小和 (S-EFB-LNMS) 解码.
开发了基于平行特征的分层规范化最小和 (P-EFB-LNMS) 解码.
构建了一个特征向量来评估实时比特可靠性.
基于可靠性评估的动态分配和计划分层处理单元 (LPU).

主要成果:

提出的S-EFB-LNMS和P-EFB-LNMS解码技术被引入.
特征向量有效地反映了代码字位可靠性.
通过比较检查矩阵和特征向量来实现LPU的可靠性评估.
动态LPU调度优化了解码代过程.

结论:

基于新型特征的分层正常化最小和解码方法显著降低了LDPC解码延迟.
这些技术为延迟敏感的大数据存储应用提供了有希望的解决方案.
基于位可靠性的优化LPU分配是提高解码效率的关键.

关键词:

在 LNMS LDPC 解码中使用 LNMS 解码.代数等号相似性代数等号相似性的特征是的特征.闪存存储器通道频道

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