Multilevel inserting constructions for constant dimension subspace codes
By: Gang Wang , Xuan Gao , Sihem Mesnager and more
Potential Business Impact:
Makes computer networks send more information reliably.
Subspace codes, especially constant dimension subspace codes (CDCs), represent an intriguing domain that can be used to conduct basic coding theory investigations. They have received widespread attention due to their applications in random network coding. This paper presents inverse bilateral multilevel construction by introducing inverse bilateral identifying vectors and inverse bilateral Ferrers diagram rank-metric codes. By inserting the inverse bilateral multilevel construction into the double multilevel construction and bilateral multilevel construction, an effective construction for CDCs is provided. Furthermore, via providing a new set of bilateral identifying vectors, we give another efficient construction for CDCs. In this article, several CDCs are exhibited, equipped with the rank-metric, with larger sizes than the known ones in the existing literature. From a practical standpoint, our results could help in the pragmatic framework of constant-dimension-lifted rank-metric codes for applications in network coding. The ratio of the new lower bound to the known upper bound for some CDCs is calculated, which is greater than 0.94548 for any prime power $q \geq 3.$
Similar Papers
New constant-dimension subspace codes from parallel cosets of optimal Ferrers diagram rank-metric codes and multilevel inserting constructions
Information Theory
Makes computer codes send more information reliably.
New Constant Dimension Codes From the Inserting Mixed Dimension Construction and Multilevel Construction
Information Theory
Makes computer messages more reliable.
Multilevel constructions of constant dimension codes based on one-factorization of complete graphs
Information Theory
Makes computer messages more reliable for networks.