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Systematic Error-Correcting Codes for Rank Modulation.

Authors :
Zhou, Hongchao
Schwartz, Moshe
Jiang, Anxiao Andrew
Bruck, Jehoshua
Source :
IEEE Transactions on Information Theory; Jan2015, Vol. 61 Issue 1, p17-32, 16p
Publication Year :
2015

Abstract

The rank-modulation scheme has been recently proposed for efficiently storing data in nonvolatile memories. In this paper, we explore $[n,k,d]$ systematic error-correcting codes for rank modulation. Such codes have length $n$ , $k$ information symbols, and minimum distance $d$ . Systematic codes have the benefits of enabling efficient information retrieval in conjunction with memory-scrubbing schemes. We study systematic codes for rank modulation under Kendall’s $\tau $ -metric as well as under the $\ell _\infty $ -metric. In Kendall’s $\tau $ -metric, we present $[k+2,k,3]$ systematic codes for correcting a single error, which have optimal rates, unless systematic perfect codes exist. We also study the design of multierror-correcting codes, and provide a construction of $[k+t+1,k,2t+1]$ systematic codes, for large-enough $k$ . We use nonconstructive arguments to show that for rank modulation, systematic codes achieve the same capacity as general error-correcting codes. Finally, in the $\ell _\infty $ -metric, we construct two $[n,k,d]$ systematic multierror-correcting codes, the first for the case of $d=O(1)$ and the second for $d=\Theta (n)$ . In the latter case, the codes have the same asymptotic rate as the best codes currently known in this metric. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00189448
Volume :
61
Issue :
1
Database :
Complementary Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
100150892
Full Text :
https://doi.org/10.1109/TIT.2014.2365499