On Extremal Rates of Storage over Graphs
Information Theory
2022-10-13 v1 math.IT
Abstract
A storage code over a graph maps independent source symbols, each of bits, to coded symbols, each of bits, such that each coded symbol is stored in a node of the graph and each edge of the graph is associated with one source symbol. From a pair of nodes connected by an edge, the source symbol that is associated with the edge can be decoded. The ratio is called the symbol rate of a storage code and the highest symbol rate is called the capacity. We show that the three highest capacity values of storage codes over graphs are . We characterize all graphs over which the storage code capacity is and , and for capacity value of , necessary condition and sufficient condition (that do not match) on the graphs are given.
Keywords
Cite
@article{arxiv.2210.06363,
title = {On Extremal Rates of Storage over Graphs},
author = {Zhou Li and Hua Sun},
journal= {arXiv preprint arXiv:2210.06363},
year = {2022}
}
Comments
28 pages, 11 figures