Optimal Finite-Length and Asymptotic Index Codes for Five or Fewer Receivers
Lawrence Ong

TL;DR
This paper fully solves all unicast index coding problems with up to five receivers by establishing when linear codes are optimal and computing minimum codelengths for all small graph configurations.
Contribution
It provides a complete characterization of optimal index codes for small networks with up to five receivers, including explicit codelengths and conditions for linear optimality.
Findings
Linear codes are optimal when the maximum acyclic induced subgraph differs from the graph by at most two vertices.
All small unicast index-coding instances with up to five receivers have been solved for minimum codelength.
The results extend previous asymptotic solutions to finite message alphabet sizes.
Abstract
Index coding models broadcast networks in which a sender sends different messages to different receivers simultaneously, where each receiver may know some of the messages a priori. The aim is to find the minimum (normalised) index codelength that the sender sends. This paper considers unicast index coding, where each receiver requests exactly one message, and each message is requested by exactly one receiver. Each unicast index-coding instances can be fully described by a directed graph and vice versa, where each vertex corresponds to one receiver. For any directed graph representing a unicast index-coding instance, we show that if a maximum acyclic induced subgraph (MAIS) is obtained by removing two or fewer vertices from the graph, then the minimum index codelength equals the number of vertices in the MAIS, and linear codes are optimal for the corresponding index-coding instance.…
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