New families of MDS symbol-pair codes from matrix-product codes

In emerging storage technologies, the outputs of the channels consist of overlapping pairs of symbols. The errors are no longer individual symbols. Controlling them calls for a different approach. Symbol-pair codes have been proposed as a solution. The error-correcting capability of such a code depe...

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Main Authors: Luo, Gaojun, Ezerman, Martianus Frederic, Ling, San, Pan, Xu
Other Authors: School of Physical and Mathematical Sciences
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/181875
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1818752024-12-30T15:35:03Z New families of MDS symbol-pair codes from matrix-product codes Luo, Gaojun Ezerman, Martianus Frederic Ling, San Pan, Xu School of Physical and Mathematical Sciences Division of Mathematical Sciences Mathematical Sciences Matrix-product code Maximum distance separable code In emerging storage technologies, the outputs of the channels consist of overlapping pairs of symbols. The errors are no longer individual symbols. Controlling them calls for a different approach. Symbol-pair codes have been proposed as a solution. The error-correcting capability of such a code depends on its minimum pair distance instead of the usual minimum Hamming distance. Longer codes can be conveniently constructed from known shorter ones by a matrix-product approach. The parameters of a matrix-product code can be determined from the parameters of the ingredient codes. We construct a new family of maximum distance separable (MDS) symbol-pair matrix-product codes. Codes which are permutation equivalent to matrix-product codes may have improved minimum pair distances. We present four new families of MDS symbol-pair codes and a new family of almost MDS symbol-pair codes. The codes in these five new families are permutation equivalent to matrix-product codes. Each of our five constructions identifies permutations that can increase the minimum pair distances. We situate the new families among previously known families of MDS symbol-pair codes to highlight the versatility of our matrix-product construction route. Nanyang Technological University Submitted/Accepted version The work of Gaojun Luo, Martianus Frederic Ezerman, and San Ling was supported by Nanyang Technological University Research Grant 04INS000047C230GRT01. The work of San Ling was supported in part by the National Natural Science Foundation of China under Grant 11971175. The work of Xu Pan was supported by the State Scholarship Fund of China Scholarship Council (CSC). 2024-12-27T06:56:30Z 2024-12-27T06:56:30Z 2023 Journal Article Luo, G., Ezerman, M. F., Ling, S. & Pan, X. (2023). New families of MDS symbol-pair codes from matrix-product codes. IEEE Transactions On Information Theory, 69(3), 1567-1587. https://dx.doi.org/10.1109/TIT.2022.3220638 0018-9448 https://hdl.handle.net/10356/181875 10.1109/TIT.2022.3220638 2-s2.0-85141569046 3 69 1567 1587 en 04INS000047C230GRT01 IEEE Transactions on Information Theory © 2022 IEEE. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1109/TIT.2022.3220638. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Mathematical Sciences
Matrix-product code
Maximum distance separable code
spellingShingle Mathematical Sciences
Matrix-product code
Maximum distance separable code
Luo, Gaojun
Ezerman, Martianus Frederic
Ling, San
Pan, Xu
New families of MDS symbol-pair codes from matrix-product codes
description In emerging storage technologies, the outputs of the channels consist of overlapping pairs of symbols. The errors are no longer individual symbols. Controlling them calls for a different approach. Symbol-pair codes have been proposed as a solution. The error-correcting capability of such a code depends on its minimum pair distance instead of the usual minimum Hamming distance. Longer codes can be conveniently constructed from known shorter ones by a matrix-product approach. The parameters of a matrix-product code can be determined from the parameters of the ingredient codes. We construct a new family of maximum distance separable (MDS) symbol-pair matrix-product codes. Codes which are permutation equivalent to matrix-product codes may have improved minimum pair distances. We present four new families of MDS symbol-pair codes and a new family of almost MDS symbol-pair codes. The codes in these five new families are permutation equivalent to matrix-product codes. Each of our five constructions identifies permutations that can increase the minimum pair distances. We situate the new families among previously known families of MDS symbol-pair codes to highlight the versatility of our matrix-product construction route.
author2 School of Physical and Mathematical Sciences
author_facet School of Physical and Mathematical Sciences
Luo, Gaojun
Ezerman, Martianus Frederic
Ling, San
Pan, Xu
format Article
author Luo, Gaojun
Ezerman, Martianus Frederic
Ling, San
Pan, Xu
author_sort Luo, Gaojun
title New families of MDS symbol-pair codes from matrix-product codes
title_short New families of MDS symbol-pair codes from matrix-product codes
title_full New families of MDS symbol-pair codes from matrix-product codes
title_fullStr New families of MDS symbol-pair codes from matrix-product codes
title_full_unstemmed New families of MDS symbol-pair codes from matrix-product codes
title_sort new families of mds symbol-pair codes from matrix-product codes
publishDate 2024
url https://hdl.handle.net/10356/181875
_version_ 1820027771497218048