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Author:

Wang, X. (Wang, X..) | Konstantinova, E.V. (Konstantinova, E.V..)

Indexed by:

EI Scopus SCIE

Abstract:

V. Levenshtein first proposed the sequence reconstruction problem in 2001. This problem studies the same sequence from some set is transmitted over multiple channels, and the decoder receives the different outputs. Assume that the transmitted sequence is at distance d from some code and there are at most r errors in every channel. Then the sequence reconstruction problem is to find the minimum number of channels required to recover exactly the transmitted sequence that has to be greater than the maximum intersection between two metric balls of radius r, where the distance between their centers is at least d. In this paper, we study the sequence reconstruction problem of permutations under the Hamming distance. In this model we define a Cayley graph over the symmetric group, study its properties and find the exact value of the largest intersection of its two metric balls for d=2r. Moreover, we give a lower bound on the largest intersection of two metric balls for d=2r-1. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

Keyword:

Cayley graph Permutation codes Sequence reconstruction Hamming distance

Author Community:

  • [ 1 ] [Wang X.]School of Mathematics, Statistics and Mechanics, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Konstantinova E.V.]Sobolev Institute of Mathematics, Ak. Koptyug av. 4, Novosibirsk, 630090, Russian Federation
  • [ 3 ] [Konstantinova E.V.]Novosibirsk State University, Pirogova str. 2, Novosibirsk, 630090, Russian Federation
  • [ 4 ] [Konstantinova E.V.]Three Gorges Mathematical Research Center, China Three Gorges University, 8 University Avenue, Hubei Province, Yichang, 443002, China

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Source :

Cryptography and Communications

ISSN: 1936-2447

Year: 2024

Issue: 5

Volume: 16

Page: 1033-1057

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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