Linear Network Coding, Linear Index Coding and Representable Discrete Polymatroids
Vijayvaradharaj T. Muralidharan, B. Sundar Rajan

TL;DR
This paper establishes a deep connection between linear network coding, index coding, and representable discrete polymatroids, providing new algorithms and characterizations for solutions over finite fields.
Contribution
It introduces the concept of discrete polymatroidal networks, linking their representability to linear fractional solutions, and generalizes existing matroid-based results to discrete polymatroids.
Findings
Linear fractional solutions exist if and only if the network is discrete polymatroidal and representable.
A construction algorithm for networks from certain discrete polymatroids is provided.
Representation of a discrete polymatroid corresponds to a linear fractional solution for the network.
Abstract
Discrete polymatroids are the multi-set analogue of matroids. In this paper, we explore the connections among linear network coding, linear index coding and representable discrete polymatroids. We consider vector linear solutions of networks over a field with possibly different message and edge vector dimensions, which are referred to as linear fractional solutions. We define a \textit{discrete polymatroidal} network and show that a linear fractional solution over a field exists for a network if and only if the network is discrete polymatroidal with respect to a discrete polymatroid representable over An algorithm to construct networks starting from certain class of discrete polymatroids is provided. Every representation over for the discrete polymatroid, results in a linear fractional solution over for the…
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Taxonomy
TopicsCooperative Communication and Network Coding · Full-Duplex Wireless Communications · Advanced Wireless Communication Technologies
