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Snake-in-the-Box Codes for Rank Modulation under Kendall’s $\tau $ -Metric in S_{2n+2}.

Authors :
Zhang, Yiwei
Ge, Gennian
Source :
IEEE Transactions on Information Theory. Sep2016, Vol. 62 Issue 9, p4814-4818. 5p.
Publication Year :
2016

Abstract

Snake-in-the-box codes under Kendall’s \tau -metric are studied in the rank modulation scheme for flash memories, where codewords are a subset of permutations in S_{n} with minimal Kendall’s \tau -distance two, and two cyclically consecutive codewords are connected via a push-to-the-top operation. Studies so far restrict the push-to-the-top operations only on odd indices, resulting in a snake consisting of permutations with the same parity, and thus, the minimal distance constraint is easily satisfied. Asymptotically optimal snake codes have been constructed this way in S2n+1 . As for S2n+2 , this framework keeps the last element fixed, and thus, a snake in S2n+2 is equivalent to a snake in S2n+1 , which is rather trivial. If one wants to do better, then it is inevitable to have some push-to-the-top operations on even indices, resulting in a combination of odd and even permutations in the snake, which increases the difficulty to guarantee the minimal Kendall’s $\tau $ -distance constraint. Thus, Horovitz and Etzion pose the open problem to prove or disprove that the size of the largest snake in ({1}/{4})|S_{2n+2}| . [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISSN :
00189448
Volume :
62
Issue :
9
Database :
Academic Search Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
117596678
Full Text :
https://doi.org/10.1109/TIT.2016.2587764