Linear Programming Approximations for Index Coding
Abhishek Agarwal, Larkin Flodin, Arya Mazumdar

TL;DR
This paper explores linear programming methods to approximate the broadcast rate in index coding problems, providing constant-factor approximations for special graph classes and improved schemes for the general case.
Contribution
It introduces LP-based approximation schemes for index coding, extending to special graph families and improving bounds in the general case.
Findings
Constant-factor approximation for graphs with small chromatic number
Effective LP-based schemes for disk graphs
Improved approximation schemes over previous methods
Abstract
Index coding, a source coding problem over broadcast channels, has been a subject of both theoretical and practical interest since its introduction (by Birk and Kol, 1998). In short, the problem can be defined as follows: there is an input , a set of clients who each desire a single symbol of the input, and a broadcaster whose goal is to send as few messages as possible to all clients so that each one can recover its desired symbol. Additionally, each client has some predetermined "side information," corresponding to certain symbols of the input , which we represent as the "side information graph" . The graph has a vertex for each client and a directed edge indicating that client knows the th symbol of the input. Given a fixed side information…
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