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Cell-to-Cell Interference Compensation Schemes Using Reduced Symbol Pattern of Interfering Cells for MLC NAND Flash Memory

机译:使用MLC NAND闪存的干扰单元减少符号模式的单元间干扰补偿方案

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Cell-to-cell interference compensation schemes using reduced symbol pattern of interfering cells for multilevel cell (MLC) NAND flash memory are proposed in this paper. The proposed schemes consist of three procedures, estimation of cell-to-cell interference, compensation for cell-to-cell interference, and generation of log-likelihood ratio (LLR). First, reduced symbol pattern of interfering cells is used to estimate cell-to-cell interference by modifying the levels of the threshold voltage shift from multi page programming to two levels. Second, based on this estimation, cell-to-cell interference is compensated by modifying the read voltage considering the estimated cell-to-cell interference in the proposed scheme 1 and by subtracting the estimated cell-to-cell interference from the sensed voltage in the proposed scheme 2. Finally, after conducting compensation, LLR is calculated for low-density parity check (LDPC) codes in the assumption of free cell-to-cell interference since interference between cells is mitigated by the compensation procedure. By using these techniques, cell-to-cell interference can be relaxed with a simple structure and a high reliability. The bit error rate (BER) performances of the proposed schemes are compared with the conventional schemes on 8-level MLC NAND flash memory. Simulation results show that the proposed schemes show the improved BER performances by more than an order of magnitude compared with the conventional LDPC scheme.
机译:提出了一种使用干扰单元的减少符号模式的单元间干扰补偿方案,用于多级单元(MLC)NAND闪存。所提出的方案包括三个过程,小区到小区干扰的估计,小区到小区干扰的补偿,以及对数似然比(LLR)的产生。首先,通过将从多页编程的阈值电压偏移的电平修改为两个电平,将干扰小区的减小的符号图案用于估计小区之间的干扰。其次,基于该估计,通过考虑建议方案1中估计的单元间干扰并通过从感应电压减去估计的单元间干扰来修改读取电压,来补偿单元间干扰。提议的方案2。最后,在进行补偿之后,由于小区之间的干扰可以通过补偿程序来缓解,因此在假设小区之间存在自由干扰的情况下,针对低密度奇偶校验(LDPC)码计算LLR。通过使用这些技术,可以以简单的结构和高的可靠性来减轻小区之间的干扰。将所提方案的误码率(BER)性能与传统方案在8级MLC NAND闪存上进行了比较。仿真结果表明,与传统的LDPC方案相比,所提出的方案将BER性能提高了一个数量级以上。

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