Journal
2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT)
Volume -, Issue -, Pages 136-141Publisher
IEEE
DOI: 10.1109/ISIT45174.2021.9517921
Keywords
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Funding
- US National Science Foundation [CCF-1956192]
- US Army Research Office [W911NF-18-1-0426]
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In this paper, we present a practical implementation of the rubber method by Ahlswede et al. for binary channels, creating a skeleton sequence using an arithmetic decoder designed for a specific k-th order Markov chain. We demonstrate that the scheme is nearly optimal for certain parameters in the stochastic binary symmetric channel, and we also show a strict enlargement of achievable rates with feedback for this channel beyond the sphere-packing bound.
We provide a practical implementation of the rubber method of Ahlswede et al. for binary channels. The idea is to create the skeleton sequence therein via an arithmetic decoder designed for a particular k-th order Markov chain. For the stochastic binary symmetric channel, we show that the scheme is nearly optimal in a strong sense for certain parameters. A byproduct of the analysis is a strict enlargement of the rates for which the sphere-packing bound is known to be achievable with feedback for this channel.
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