{"title":"Coset Constructions of Constant Dimension Codes by Cosets of Optimal Ferrers Diagrams Rank Metric Codes","authors":"Dengming Xu;Yihui Song","doi":"10.1109/TIT.2025.3596103","DOIUrl":null,"url":null,"abstract":"Constant dimension codes (CDCs) have received a lot of attention due to their application in random network coding. One main problem with CDCs is to improve the lower bound of <inline-formula> <tex-math>$A_{q}(n,d,k)$ </tex-math></inline-formula> for given parameters <inline-formula> <tex-math>$n,d$ </tex-math></inline-formula> and <italic>k</i>, where <inline-formula> <tex-math>$A_{q}(n,d,k)$ </tex-math></inline-formula> denotes the maximum size of all <inline-formula> <tex-math>$(n,M,d,k)_{q}$ </tex-math></inline-formula> CDCs. The paper aims to construct CDCs by combining the coset and linkage construction. Precisely, we first combine the coset and linkage construction in different ways and then turn our attention to the coset construction. To enlarge the size of CDCs constructed from the coset construction, we are devoted to constructing lists of CDCs with fixed distance having size as large as possible by the cosets of optimal Ferrers diagram rank metric codes and the parallelisms in <inline-formula> <tex-math>${\\mathcal {G}}_{q}(n, k)$ </tex-math></inline-formula>. As applications, numerous CDCs with larger size than the previously best known codes are obtained, including <inline-formula> <tex-math>$A_{q}(18, 6,9), A_{q}(14, 6, 7), ~A_{q}(12, 4, 6), A_{q}(10, 4, 5),A_{q}(14, 4, 7),$ </tex-math></inline-formula> <inline-formula> <tex-math>$A_{q}(16, 4, 8)$ </tex-math></inline-formula> and <inline-formula> <tex-math>$A_{q}(n, 4,4)$ </tex-math></inline-formula> for <inline-formula> <tex-math>$13\\leq n\\leq 16$ </tex-math></inline-formula>.","PeriodicalId":13494,"journal":{"name":"IEEE Transactions on Information Theory","volume":"71 10","pages":"7959-7975"},"PeriodicalIF":2.9000,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Information Theory","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11113357/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Constant dimension codes (CDCs) have received a lot of attention due to their application in random network coding. One main problem with CDCs is to improve the lower bound of $A_{q}(n,d,k)$ for given parameters $n,d$ and k, where $A_{q}(n,d,k)$ denotes the maximum size of all $(n,M,d,k)_{q}$ CDCs. The paper aims to construct CDCs by combining the coset and linkage construction. Precisely, we first combine the coset and linkage construction in different ways and then turn our attention to the coset construction. To enlarge the size of CDCs constructed from the coset construction, we are devoted to constructing lists of CDCs with fixed distance having size as large as possible by the cosets of optimal Ferrers diagram rank metric codes and the parallelisms in ${\mathcal {G}}_{q}(n, k)$ . As applications, numerous CDCs with larger size than the previously best known codes are obtained, including $A_{q}(18, 6,9), A_{q}(14, 6, 7), ~A_{q}(12, 4, 6), A_{q}(10, 4, 5),A_{q}(14, 4, 7),$ $A_{q}(16, 4, 8)$ and $A_{q}(n, 4,4)$ for $13\leq n\leq 16$ .
期刊介绍:
The IEEE Transactions on Information Theory is a journal that publishes theoretical and experimental papers concerned with the transmission, processing, and utilization of information. The boundaries of acceptable subject matter are intentionally not sharply delimited. Rather, it is hoped that as the focus of research activity changes, a flexible policy will permit this Transactions to follow suit. Current appropriate topics are best reflected by recent Tables of Contents; they are summarized in the titles of editorial areas that appear on the inside front cover.