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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