Interactive Coding for Markovian Protocols
Assaf Ben-Yishai, Ofer Shayevitz, Young-Han Kim

TL;DR
This paper investigates the limits of reliably simulating Markovian interactive protocols over noisy binary symmetric channels, proposing improved coding schemes that outperform trivial methods at low noise levels.
Contribution
It introduces a new coding scheme for Markovian protocols, providing a lower bound on achievable rates that surpasses simple approaches for small noise probabilities.
Findings
Achieves a rate of 2/3 of the Shannon capacity with trivial coding.
Proposes a new coding scheme with a closed-form lower bound on rate.
Outperforms trivial schemes for noise levels below 0.044.
Abstract
We address the problem of simulating an arbitrary Markovian interactive protocol over binary symmetric channels with crossover probability . We are interested in the achievable rates of reliable simulation, i.e., in characterizing the smallest possible blowup in communications such that a vanishing error probability (in the protocol length) can be attained. Whereas for general interactive protocols the output of each party may depend on all previous outputs of its counterpart, in a (first order) Markovian protocol this dependence is limited to the last observed output only. In the special case where there is no dependence on previous outputs (no interaction), the maximal achievable rate is given by the (one-way) Shannon capacity . For Markovian protocols, we first show that a rate of can be trivially achieved. We then…
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Taxonomy
TopicsCellular Automata and Applications · DNA and Biological Computing · Wireless Communication Security Techniques
