Enhanced LDPC Coding for 3-D TLC NAND Flash Memory: Leveraging RBER Difference From Intralayer Variation

NAND flash memory employs high code rate low-density parity-check (LDPC) codes to reduce the amount of redundant data that must be added. When the code rate is high, although the redundancy space is small, the error correction capability is inferior to medium or low code rate LDPC. RBER varies among the storage layers for 3D triple-level cell (TLC) NAND flash memory, which increases the frequency of read retry operations. Repeatedly initiating read retry seriously increases the decoding latency and decreases the performance of the 3D TLC NAND flash memory. To alleviate this problem, this article proposes Intra-Layer Variation aware LDPC coding, called LVLDPC. The proposed LVLDPC scheme establishes the correlation between inter-layer interference and raw bit error rate (RBER) based on a neural network model. By analyzing and predicting RBER through the neural network model, we are able to categorize RBER into distinct levels. Then, we then select LDPC codes with appropriate error correction capabilities to decode data with varying levels of RBER. Through this scheme, we don’t need to start read retry when RBER <1.56×10-2. The iteration number is reduced by 67% in total. This scheme only causes 1.15% space overhead, which is negligible. For the stage with high RBER, the number of iterations of LVLDPC is still large, and the extended LVLDPC scheme (eLVLDPC) is further proposed to reduce the use of high code rate and reduce the number of iterations by 19.1%, expanding the correctable RBER threshold to 2.68×10-2.

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Journal
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Published
2025-08-14
DOI
https://doi.org/10.1109/tcad.2025.3598931
Primary Topic
Advanced Data Storage Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Enhanced LDPC Coding for 3-D TLC NAND Flash Memory: Leveraging RBER Difference From Intralayer Variation

Zhanzhan Zhao, Fei Wu, Lanlan Cui, Changsheng Xie et al.
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Advanced Data Storage Technologies
article

Enhanced LDPC Coding for 3-D TLC NAND Flash Memory: Leveraging RBER Difference From Intralayer Variation

Zhanzhan Zhao, Fei Wu, Lanlan Cui, Changsheng Xie, Meng Zhang, Kun Jiang, Xuan Zhang
article en

Abstract

NAND flash memory employs high code rate low-density parity-check (LDPC) codes to reduce the amount of redundant data that must be added. When the code rate is high, although the redundancy space is small, the error correction capability is inferior to medium or low code rate LDPC. RBER varies among the storage layers for 3D triple-level cell (TLC) NAND flash memory, which increases the frequency of read retry operations. Repeatedly initiating read retry seriously increases the decoding latency and decreases the performance of the 3D TLC NAND flash memory. To alleviate this problem, this article proposes Intra-Layer Variation aware LDPC coding, called LVLDPC. The proposed LVLDPC scheme establishes the correlation between inter-layer interference and raw bit error rate (RBER) based on a neural network model. By analyzing and predicting RBER through the neural network model, we are able to categorize RBER into distinct levels. Then, we then select LDPC codes with appropriate error correction capabilities to decode data with varying levels of RBER. Through this scheme, we don’t need to start read retry when RBER <1.56×10-2. The iteration number is reduced by 67% in total. This scheme only causes 1.15% space overhead, which is negligible. For the stage with high RBER, the number of iterations of LVLDPC is still large, and the extended LVLDPC scheme (eLVLDPC) is further proposed to reduce the use of high code rate and reduce the number of iterations by 19.1%, expanding the correctable RBER threshold to 2.68×10-2.

IEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsVol. 45(3)
Xi'an University of Science and Technology (CN), Xi’an University (CN), Wuhan National Laboratory for Optoelectronics (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Basic Research Program of Shaanxi Province
Affordable and clean energy
Openalex Percentile: Top 75%
Advanced Data Storage Technologies
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