On the Combinatorial Version of the Slepian–Wolf Problem

Daniyar Chumbalov

Abstract:

We study the following combinatorial version of the Slepian–Wolf coding scheme. Two isolated Senders are given binary strings
X and Y respectively; the length of each string is equal to n, and the Hamming distance between the strings is at most αn. The
Senders compress their strings and communicate the results to the Receiver. Then the Receiver must reconstruct both strings X
and Y . The aim is to minimize the lengths of the transmitted messages.
For an asymmetric variant of this problem (where one of the Senders transmits the input string to the Receiver without
compression) with deterministic encoding a nontrivial bound was found by A. Orlitsky and K. Viswanathany, [15]. In our paper
we prove a new lower bound for the schemes with syndrome coding, where at least one of the Senders uses linear encoding of
the input string.
For the combinatorial Slepian–Wolf problem with randomized encoding the theoretical optimum of communication complexity
was found in [24], though effective protocols with optimal lengths of messages remained unknown. We close this gap and present
a polynomial time randomized protocol that achieves the optimal communication complexity