Random Construction of Partial MDS Codes
Alessandro Neri, Anna-Lena Horlemann-Trautmann

TL;DR
This paper extends the construction of partial MDS codes using maximum rank distance codes, provides an algebraic framework for their generator matrices, and shows that random matrices can generate PMDS codes with high probability over large fields.
Contribution
It generalizes known constructions of PMDS codes to any MRD code and introduces an algebraic standard form for their generator matrices.
Findings
Random generator matrices in standard form produce PMDS codes with high probability over large fields.
Provides algebraic conditions for the existence of PMDS codes.
Extends construction methods to any MRD code, not just Gabidulin codes.
Abstract
This work deals with partial MDS (PMDS) codes, a special class of locally repairable codes, used for distributed storage system. We first show that a known construction of these codes, using Gabidulin codes, can be extended to use any maximum rank distance code. Then we define a standard form for the generator matrices of PMDS codes and use this form to give an algebraic description of PMDS generator matrices. This implies that over a sufficiently large finite field a randomly chosen generator matrix in PMDS standard form generates a PMDS code with high probability. This also provides sufficient conditions on the field size for the existence of PMDS codes.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
