A lower bound on the list-decodability of insdel codes

For codes equipped with metrics such as Hamming metric, symbol pair metric or cover metric, the Johnson bound guarantees list-decodability of such codes. That is, the Johnson bound provides a lower bound on the list-decoding radius of a code in terms of its relative minimum distance, list size and t...

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Main Authors: Liu, Shu, Tjuawinata, Ivan, Xing, Chaoping
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2023
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Online Access:https://hdl.handle.net/10356/169889
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1698892023-08-18T15:35:42Z A lower bound on the list-decodability of insdel codes Liu, Shu Tjuawinata, Ivan Xing, Chaoping School of Computer Science and Engineering Strategic Centre for Research in Privacy-Preserving Technologies & Systems (SCRIPTS) Science::Mathematics::Applied mathematics::Information theory Engineering::Computer science and engineering::Data::Coding and information theory Codes Information Theory List Decoding Insertion and Deletion Errors For codes equipped with metrics such as Hamming metric, symbol pair metric or cover metric, the Johnson bound guarantees list-decodability of such codes. That is, the Johnson bound provides a lower bound on the list-decoding radius of a code in terms of its relative minimum distance, list size and the alphabet size. For study of list-decodability of codes with insertion and deletion errors (we call such codes insdel codes), it is natural to ask the open problem whether there is also a Johnson-type bound. The problem was first investigated by Wachter-Zeh and the result was amended by Hayashi and Yasunaga where a lower bound on the list-decodability for insdel codes was derived. The main purpose of this paper is to move a step further towards solving the above open problem. In this work, we provide a new lower bound for the list-decodability of an insdel code. As a consequence, we show that unlike the Johnson bound for codes under other metrics that is tight, the bound on list-decodability of insdel codes given by Hayashi and Yasunaga is not tight. Our main idea is to show that if an insdel code with a given Levenshtein distance is not list-decodable with a given list size, then the list decoding radius is lower bounded by a bound involving the list size and Levenshtein distance. In other words, if the list decoding radius is less than this lower bound, the code must be list-decodable with the given list size. At the end of the paper we use such bound to provide an insdel-list-decodability bound for various well-known codes, which has not been extensively studied before. National Research Foundation (NRF) Submitted/Accepted version This research is supported by the National Key R&D Program of China under Grant 2022YFA1004900, the National Natural Science Foundation of China under Grant 12271084, National Key Laboratory of Science and Technology on Communications under Contract G02214307, the National Research Foundation, Singapore under its Strategic Capability Research Centres Funding Initiative, National Key R&D Program of China under Grant 2021YFE109900 and National Natural Science Foundation of China under Grant 12031011. 2023-08-14T06:45:35Z 2023-08-14T06:45:35Z 2023 Journal Article Liu, S., Tjuawinata, I. & Xing, C. (2023). A lower bound on the list-decodability of insdel codes. IEEE Transactions On Information Theory. https://dx.doi.org/10.1109/TIT.2023.3302862 0018-9448 https://hdl.handle.net/10356/169889 10.1109/TIT.2023.3302862 en 2021YFE109900 IEEE Transactions on Information Theory © 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIT.2023.3302862. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Applied mathematics::Information theory
Engineering::Computer science and engineering::Data::Coding and information theory
Codes
Information Theory
List Decoding
Insertion and Deletion Errors
spellingShingle Science::Mathematics::Applied mathematics::Information theory
Engineering::Computer science and engineering::Data::Coding and information theory
Codes
Information Theory
List Decoding
Insertion and Deletion Errors
Liu, Shu
Tjuawinata, Ivan
Xing, Chaoping
A lower bound on the list-decodability of insdel codes
description For codes equipped with metrics such as Hamming metric, symbol pair metric or cover metric, the Johnson bound guarantees list-decodability of such codes. That is, the Johnson bound provides a lower bound on the list-decoding radius of a code in terms of its relative minimum distance, list size and the alphabet size. For study of list-decodability of codes with insertion and deletion errors (we call such codes insdel codes), it is natural to ask the open problem whether there is also a Johnson-type bound. The problem was first investigated by Wachter-Zeh and the result was amended by Hayashi and Yasunaga where a lower bound on the list-decodability for insdel codes was derived. The main purpose of this paper is to move a step further towards solving the above open problem. In this work, we provide a new lower bound for the list-decodability of an insdel code. As a consequence, we show that unlike the Johnson bound for codes under other metrics that is tight, the bound on list-decodability of insdel codes given by Hayashi and Yasunaga is not tight. Our main idea is to show that if an insdel code with a given Levenshtein distance is not list-decodable with a given list size, then the list decoding radius is lower bounded by a bound involving the list size and Levenshtein distance. In other words, if the list decoding radius is less than this lower bound, the code must be list-decodable with the given list size. At the end of the paper we use such bound to provide an insdel-list-decodability bound for various well-known codes, which has not been extensively studied before.
author2 School of Computer Science and Engineering
author_facet School of Computer Science and Engineering
Liu, Shu
Tjuawinata, Ivan
Xing, Chaoping
format Article
author Liu, Shu
Tjuawinata, Ivan
Xing, Chaoping
author_sort Liu, Shu
title A lower bound on the list-decodability of insdel codes
title_short A lower bound on the list-decodability of insdel codes
title_full A lower bound on the list-decodability of insdel codes
title_fullStr A lower bound on the list-decodability of insdel codes
title_full_unstemmed A lower bound on the list-decodability of insdel codes
title_sort lower bound on the list-decodability of insdel codes
publishDate 2023
url https://hdl.handle.net/10356/169889
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