Bounds on the Maximal Minimum Distance of Linear Locally Repairable Codes
Abstract
Locally repairable codes (LRCs) are error correcting codes used in distributed data storage. Besides a global level, they enable errors to be corrected locally, reducing the need for communication between storage nodes. There is a close connection between almost affine LRCs and matroid theory which can be utilized to construct good LRCs and derive bounds on their performance. A generalized Singleton bound for linear LRCs with parameters was given in [N. Prakash et al., "Optimal Linear Codes with a Local-Error-Correction Property", IEEE Int. Symp. Inf. Theory]. In this paper, a LRC achieving this bound is called perfect. Results on the existence and nonexistence of linear perfect -LRCs were given in [W. Song et al., "Optimal locally repairable codes", IEEE J. Sel. Areas Comm.]. Using matroid theory, these existence and nonexistence results were later strengthened in [T. Westerb\"ack et al., "On the Combinatorics of Locally Repairable Codes", Arxiv: 1501.00153], which also provided a general lower bound on the maximal achievable minimum distance that a linear LRC with parameters can have. This article expands the class of parameters for which there exist perfect linear LRCs and improves the lower bound for . Further, this bound is proved to be optimal for the class of matroids that is used to derive the existence bounds of linear LRCs.
Keywords
Cite
@article{arxiv.1602.04482,
title = {Bounds on the Maximal Minimum Distance of Linear Locally Repairable Codes},
author = {Antti Pöllänen and Thomas Westerbäck and Ragnar Freij-Hollanti and Camilla Hollanti},
journal= {arXiv preprint arXiv:1602.04482},
year = {2016}
}
Comments
5 pages, final version, submitted to the 2016 IEEE International Symposium on Information Theory, presents the results of arXiv:1512.05325 in an abridged form