2 research outputs found
Optimal Permutation Codes and the Kendall's -Metric
The rank modulation scheme has been proposed for efficient writing and
storing data in non-volatile memory storage. Error-correction in the rank
modulation scheme is done by considering permutation codes. In this paper we
consider codes in the set of all permutations on elements, , using the
Kendall's -metric. We will consider either optimal codes such as perfect
codes or concepts related to optimal codes. We prove that there are no perfect
single-error-correcting codes in , where is a prime or . We also prove that if such a code exists for which is not a prime then
the code should have some uniform structure. We consider optimal anticodes and
diameter perfect codes in . As a consequence we obtain a new upper bound
on the size of a code in with even minimum Kendall's -distance. We
define some variations of the Kendall's -metric and consider the related
codes. Specifically, we present perfect single-error-correcting codes in
for these variations. Furthermore, using these variations we present larger
codes than the known ones in and with the Kendall's -metric.
These codes have a large automorphism group.Comment: 18 page
Perfect Permutation Codes with the Kendall's -Metric
The rank modulation scheme has been proposed for efficient writing and
storing data in non-volatile memory storage. Error-correction in the rank
modulation scheme is done by considering permutation codes. In this paper we
consider codes in the set of all permutations on elements, , using the
Kendall's -metric. We prove that there are no perfect
single-error-correcting codes in , where is a prime or . We also prove that if such a code exists for which is not a prime then
the code should have some uniform structure. We define some variations of the
Kendall's -metric and consider the related codes and specifically we
prove the existence of a perfect single-error-correcting code in .
Finally, we examine the existence problem of diameter perfect codes in
and obtain a new upper bound on the size of a code in with even minimum
Kendall's -distance.Comment: to be presented in ISIT201