Exploiting Error Characteristic to Optimize Read Voltage for 3-D NAND Flash Memory

3-D NAND flash memory has become increasingly popular nonvolatile storage devices due to large capacity and high performance. With the increase of program/erase (P/E) cycles and retention periods, the threshold voltage distribution of 3-D NAND flash memory is prone to shift such that it is difficult...

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Bibliographic Details
Published inIEEE transactions on electron devices Vol. 67; no. 12; pp. 5490 - 5496
Main Authors Zhang, Meng, Wu, Fei, Yu, Qin, Liu, Weihua, Wang, Yifan, Xie, Changsheng
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:3-D NAND flash memory has become increasingly popular nonvolatile storage devices due to large capacity and high performance. With the increase of program/erase (P/E) cycles and retention periods, the threshold voltage distribution of 3-D NAND flash memory is prone to shift such that it is difficult to accurately obtain the read reference voltage (RRV). When reading data, read retry operations perform multiple flash sensing to read bit information correctly, inducing extended read latency. To mitigate the read latency, a method of precisely acquiring the RRV is urgently needed. Using an field-programmable gate array (FPGA) hardware testing platform, this article first studies error characteristics of 3-D triple-level cell (TLC) NAND flash memory with the floating gate (FG) structure, which includes the variations of raw bit error rates (RBERs) in different layers and pages, the variations of block reads under different read modes, and the threshold voltage shifting characteristic. Then, based on these characterizations, this article develops an error characteristic aware RRV acquisition scheme, called ECRRV, to gain optimal RRV by exploiting the least square method. Experimental results show that the proposed scheme can significantly diminish the RBER and block read count.
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ISSN:0018-9383
1557-9646
DOI:10.1109/TED.2020.3030867