Achievable Rates for Noisy Channels with Synchronization Errors
Mojtaba Rahmati, Tolga M. Duman

TL;DR
This paper presents new lower bounds on the capacity of noisy channels with synchronization errors by decomposing the channel into simpler components, enabling tighter bounds than previous methods.
Contribution
It introduces a decomposition-based approach to derive capacity lower bounds for channels with synchronization errors and other impairments, applicable without knowing the exact capacity-achieving input distributions.
Findings
Derived lower bounds for channels with synchronization errors and impairments.
Applied bounds to specific channels like deletion/substitution and deletion/AWGN.
Achieved tighter bounds than existing literature for certain channel classes.
Abstract
We develop several lower bounds on the capacity of binary input symmetric output channels with synchronization errors which also suffer from other types of impairments such as substitutions, erasures, additive white Gaussian noise (AWGN) etc. More precisely, we show that if the channel with synchronization errors can be decomposed into a cascade of two channels where only the first one suffers from synchronization errors and the second one is a memoryless channel, a lower bound on the capacity of the original channel in terms of the capacity of the synchronization error-only channel can be derived. To accomplish this, we derive lower bounds on the mutual information rate between the transmitted and received sequences (for the original channel) for an arbitrary input distribution, and then relate this result to the channel capacity. The results apply without the knowledge of the exact…
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Taxonomy
TopicsDNA and Biological Computing · Cellular Automata and Applications · Advanced biosensing and bioanalysis techniques
