Structured Index Coding Problem and Multi-access Coded Caching
Information Theory
2021-11-17 v3 Distributed, Parallel, and Cluster Computing
Combinatorics
math.IT
Abstract
Index coding and coded caching are two active research topics in information theory with strong ties to each other. Motivated by the multi-access coded caching problem, we study a new class of structured index coding problems (ICPs) which are formed by the union of several symmetric ICPs. We derive upper and lower bounds on the optimal server transmission rate for this class of ICPs and demonstrate that they differ by at most a factor of two. Finally, we apply these results to the multi-access coded caching problem to derive better bounds than the state of the art.
Cite
@article{arxiv.2012.04705,
title = {Structured Index Coding Problem and Multi-access Coded Caching},
author = {Kota Srinivas Reddy and Nikhil Karamchandani},
journal= {arXiv preprint arXiv:2012.04705},
year = {2021}
}
Comments
44 pages, single column, ITW and JSAIT