EBDN: Entropy-Based Double Nonuniform Sensing Algorithm for LDPC Decoding in TLC nand Flash Memory

被引：4

作者：

Wang, Yongchao ^{[1
]}

Wei, Debao ^{[1
]}

Liu, Ming ^{[2
]}

Feng, Hua ^{[1
]}

Qiao, Liyan ^{[1
]}

机构：

[1] Harbin Inst Technol, Sch Elect & Informat Engn, Harbin 150080, Peoples R China

[2] Chinese Flight Test Estab, Testing Inst, Xian 710000, Peoples R China

来源：

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS | 2024年 / 43卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Entropy value; low-density parity-check (LDPC) codes; NAND flash memory; nonuniform sensing; READ;

D O I：

10.1109/TCAD.2024.3350986

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Low-density parity-check (LDPC) codes are widely employed in NAND flash memory to improve the reliability of data. However, LDPC has serious latency problems when the raw bit error rate (RBER) is high. The reason is that not only a sufficient sensing level is required to obtain accurate soft information but also a high number of iterations are needed. To reduce the latency of LDPC, an entropy-based double nonuniform (EBDN) sensing algorithm is proposed in this article. The basic idea of this algorithm is to exploit the entropy to quantify the nonuniformity of intrastate and interstate. And the sensing levels are placed in a targeted manner based on the entropy, thereby significantly reducing the number of sensing levels without reducing the LDPC error correction performance. The experimental results show that the proposed algorithm can decrease the number of iterations of LDPC by approximately 70% and reduce the read latency by 34.52% compared with the traditional nonuniform sensing algorithm.

引用

页码：1914 / 1918

页数：5