We model the ligand-receptor molecular communication channel with a discrete-time Markov model, and show how to obtain the capacity of this channel  . We show that the capacity-achieving input distribution is IID. Further , unusually for a channel with memory , we show that feedback does not increase the capacity of this channel. We show how the capacity of the discrete-time channel approaches the capacity of Kabanov's Poisson channel, in the limit of short time steps and rapid ligand release.
We model biochemical signal transduction, based on a ligand-receptor binding mechanism, as a discrete-time finite-state Markov channel, which we call the BIND channel. We show how to obtain the capacity of this channel , for the case of binary output, binary channel state, and arbitrary finite input alphabets . We show that the capacity-achieving input distribution is IID. Further , we show that feedback does not increase the capacity of this channel. We show how the capacity of the discrete-time channel approaches the capacity of Kabanov's Poisson channel, in the limit of short time steps and rapid ligand release.
R
the
biochemical signal transduction, based on a
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molecular communication channel with
binding mechanism, as
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Markov model, and
finite-state Markov channel, which we call the BIND channel. We
A
, for the case of binary output, binary channel state, and arbitrary finite input alphabets
D
, unusually for a channel with memory