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LDPC codes for rank modulation in flash memories

Publication ,  Conference
Zhang, F; Pfister, HD; Jiang, A
Published in: IEEE International Symposium on Information Theory Proceedings
August 23, 2010

An LDPC code is proposed for flash memories based on rank modulation. In contrast to previous approaches, this enables the use of long ECCs with fixed-length modulation codes. For ECC design, the rank modulation scheme is treated as part of an equivalent channel. A probabilistic model of the equivalent channel is derived and a simple high-SNR approximation is given. LDPC codes over integer rings and finite fields are designed for the approximate channel and a low-complexity symbol-flipping verification-based (SFVB) message-passing decoding algorithm is proposed to take advantage of the channel structure. Density evolution (DE) is used to calculate decoding thresholds and simulations are used to compare the low-complexity decoder with sum-product decoding. © 2010 IEEE.

Duke Scholars

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

Publication Date

August 23, 2010

Start / End Page

859 / 863
 

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Zhang, F., Pfister, H. D., & Jiang, A. (2010). LDPC codes for rank modulation in flash memories. In IEEE International Symposium on Information Theory Proceedings (pp. 859–863). https://doi.org/10.1109/ISIT.2010.5513603
Zhang, F., H. D. Pfister, and A. Jiang. “LDPC codes for rank modulation in flash memories.” In IEEE International Symposium on Information Theory Proceedings, 859–63, 2010. https://doi.org/10.1109/ISIT.2010.5513603.
Zhang F, Pfister HD, Jiang A. LDPC codes for rank modulation in flash memories. In: IEEE International Symposium on Information Theory Proceedings. 2010. p. 859–63.
Zhang, F., et al. “LDPC codes for rank modulation in flash memories.” IEEE International Symposium on Information Theory Proceedings, 2010, pp. 859–63. Scopus, doi:10.1109/ISIT.2010.5513603.
Zhang F, Pfister HD, Jiang A. LDPC codes for rank modulation in flash memories. IEEE International Symposium on Information Theory Proceedings. 2010. p. 859–863.

Published In

IEEE International Symposium on Information Theory Proceedings

DOI

Publication Date

August 23, 2010

Start / End Page

859 / 863