Linearized Reed-Solomon Codes with Support-Constrained Generator Matrix

Hedongliang Liu, Hengjia Wei, Antonia Wachter-Zeh, Moshe Schwartz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Linearized Reed-Solomon (LRS) codes are a class of evaluation codes based on skew polynomials. They achieve the Singleton bound in the sum-rank metric, and therefore are known as maximum sum-rank distance (MSRD) codes. In this work, we give necessary and sufficient conditions on the existence of MSRD codes with support-constrained generator matrix. These conditions are identical to those for MDS codes and MRD codes. Moreover, the required field size for an [ {n,k} ]qm LRS codes with support-constrained generator matrix is q≥ ℓ + 1 and m ≥ maxl∈[ℓ]{k-1+logqk,nl}, where ℓ is the number of blocks and nl is the size of the l-th block. The special cases of the result coincide with the known results for Reed-Solomon codes and Gabidulin codes.

Original languageEnglish
Title of host publication2023 IEEE Information Theory Workshop, ITW 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7-12
Number of pages6
ISBN (Electronic)9798350301496
DOIs
StatePublished - 2023
Event2023 IEEE Information Theory Workshop, ITW 2023 - Saint-Malo, France
Duration: 23 Apr 202328 Apr 2023

Publication series

Name2023 IEEE Information Theory Workshop, ITW 2023

Conference

Conference2023 IEEE Information Theory Workshop, ITW 2023
Country/TerritoryFrance
CitySaint-Malo
Period23/04/2328/04/23

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