Paper Info
Title
RBER Aware Multi-Sensing for Improving Read Performance of 3D MLC NAND Flash Memory.
Abstract
3D-multi-level cell (MLC) NAND flash memory adopts 3D stack technology and stores two bits per cell, leading to improved storage capacities, but sacrificing data reliability. Low-density parity-check (LDPC) codes showing strong error correction capability benefit from their soft decision decoding, which is widely exploited to guarantee data reliability. Nevertheless, adopting LDPC codes can introduce a concern about read performance, because their iterative soft-decision decoding requires Log-Likelihood Ratio (LLR) information, called soft decision information, by applying multi-sensing voltages. This process of obtaining LLR information leads to high sensing and transferring latencies, lowering down 3D-MLC read performance. In particular, when raw bit error rates (RBER) are much higher due to the long retention periods and program/erase (P/E) cycles, this problem becomes more serious. In this paper, we propose a RBER-aware multi-sensing scheme for reducing sensing and transferring latencies, and thus improving read performance. This proposed scheme exploits the variations of RBER in flash pages with the increase of retention time and P/E cycles to dynamically apply sensing voltages. Simulation results show that this scheme significantly decreases the number of required sensing voltages while maintaining LDPC error correction capability, enhancing 3D-MLC read performance.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2873081
IEEE ACCESS
Keywords
Field
DocType
3D MLC NAND flash memory,LDPC codes,multi-sensing,decoding latency,read performance
Nand flash memory,Computer science,Low-density parity-check code,Voltage,Data reliability,Error detection and correction,Decoding methods,Computer hardware,Threshold voltage,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Meng Zhang112631.28
Fei Wu210435.76
Xubin Chen304.39
Yajuan Du485.21
Weihua Liu521.07
Yahui Zhao620.73
Jiguang Wan7299.71
Changsheng Xie836666.54