On the Optimal Broadcast Rate of the Two-Sender Unicast Index Coding Problem with Fully-Participated Interactions
Chinmayananda Arunachala, Vaneet Aggarwal, and B. Sundar Rajan

TL;DR
This paper determines the optimal broadcast rates for the two-sender unicast index coding problem with fully-participated interactions, especially when interaction digraphs contain cycles, by relating them to single-sender problems and using graph coloring techniques.
Contribution
It provides the first complete characterization of optimal broadcast rates for all cases with cycles in interaction digraphs in the two-sender unicast index coding problem.
Findings
Optimal broadcast rates are derived for all unsolved cases with cycles.
Achievable rates are provided for finite message sizes using graph coloring.
The results relate two-sender problem rates to single-sender problem rates.
Abstract
The problem of two-sender unicast index coding consists of two senders and a set of receivers. Each receiver demands a unique message and possesses some of the messages demanded by other receivers as its side-information. Every demanded message is present with at least one of the senders. Senders avail the knowledge of the side-information at the receivers to reduce the number of broadcast transmissions. Solution to this problem consists of finding the optimal number of coded transmissions from the two senders. One important class of the two-sender problem consists of the messages at the senders and the side-information at the receivers satisfying \emph{fully-participated interactions}. This paper provides the optimal broadcast rates, for all the unsolved cases of the two-sender problem with fully-participated interactions when the associated \emph{interaction digraphs} contain cycles.…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
