English

MSR Codes with Linear Field Size and Smallest Sub-packetization for Any Number of Helper Nodes

Information Theory 2024-10-31 v3 math.IT

Abstract

The sub-packetization \ell and the field size qq are of paramount importance in the MSR array code constructions. For optimal-access MSR codes, Balaji et al. proved that sn/s\ell\geq s^{\left\lceil n/s \right\rceil}, where s=dk+1s = d-k+1. Rawat et al. showed that this lower bound is attainable for all admissible values of dd when the field size is exponential in nn. After that, tremendous efforts have been devoted to reducing the field size. However, till now, reduction to linear field size is only available for d{k+1,k+2,k+3}d\in\{k+1,k+2,k+3\} and d=n1d=n-1. In this paper, we construct the first class of explicit optimal-access MSR codes with the smallest sub-packetization =sn/s\ell = s^{\left\lceil n/s \right\rceil} for all dd between k+1k+1 and n1n-1, resolving an open problem in the survey (Ramkumar et al., Foundations and Trends in Communications and Information Theory: Vol. 19: No. 4). We further propose another class of explicit MSR code constructions (not optimal-access) with even smaller sub-packetization sn/(s+1)s^{\left\lceil n/(s+1)\right\rceil } for all admissible values of dd, making significant progress on another open problem in the survey. Previously, MSR codes with =sn/(s+1)\ell=s^{\left\lceil n/(s+1)\right\rceil } and q=O(n)q=O(n) were only known for d=k+1d=k+1 and d=n1d=n-1. The key insight that enables a linear field size in our construction is to reduce (nr)\binom{n}{r} global constraints of non-vanishing determinants to Os(n)O_s(n) local ones, which is achieved by carefully designing the parity check matrices.

Keywords

Cite

@article{arxiv.2303.10467,
  title  = {MSR Codes with Linear Field Size and Smallest Sub-packetization for Any Number of Helper Nodes},
  author = {Guodong Li and Ningning Wang and Sihuang Hu and Min Ye},
  journal= {arXiv preprint arXiv:2303.10467},
  year   = {2024}
}

Comments

This paper is reorganized to make it more readable. The lower bounds in Lemma 6 and Lemma 9 are improved