Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
The capacity of channels with feedback
IEEE Transactions on Information Theory
Finite state channels with time-invariant deterministic feedback
IEEE Transactions on Information Theory
Feedback capacity of the compound channel
IEEE Transactions on Information Theory
A discrete channel model for capturing memory and soft-decision information: a capacity study
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Capacity, mutual information, and coding for finite-state Markov channels
IEEE Transactions on Information Theory
On information transmission over a finite buffer channel
IEEE Transactions on Information Theory
Feedback does not increase the capacity of discrete channels with additive noise
IEEE Transactions on Information Theory
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In this paper we consider the feedback capacity of a class of symmetric finite-state Markov channels. For this type of channels, symmetry is a generalized version of the symmetry defined for discrete memoryless channels. We show that feedback does not increase capacity for such class of finite-state channels. We indeed demonstrate that for such channels, both nonfeedback and feedback capacities are achieved by a uniform i.i.d. input distribution.