
Communication over Quantum Channels with Parameter Estimation
Communication over a randomparameter quantum channel when the decoder i...
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Communication over RandomParameter Quantum Channels with Parameter Estimation
Communication over a randomparameter quantum channel when the decoder i...
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Wiretap channels with causal state information: revisited
The coding problem for wiretap channels with causal channel state inform...
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TimeInvariant Feedback Strategies Do Not Increase Capacity of AGN Channels Driven by Stable and Certain Unstable Autoregressive Noise
The capacity of additive Gaussian noise (AGN) channels with feedback, wh...
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Feedback Capacity of MIMO Gaussian Channels
Finding a computable expression for the feedback capacity of additive ch...
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Wiretap and GelfandPinsker Channels Analogy and its Applications
A framework of analogy between wiretap channels (WTCs) and statedepende...
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A Geometric Property of Relative Entropy and the Universal Threshold Phenomenon for BinaryInput Channels with Noisy State Information at the Encoder
Tight lower and upper bounds on the ratio of relative entropies of two p...
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The Feedback Capacity of Noisy Output is the STate (NOST) Channels
We consider finitestate channels (FSCs) where the channel state is stochastically dependent on the previous channel output. We refer to these as Noisy Output is the STate (NOST) channels. We derive the feedback capacity of NOST channels in two scenarios: with and without causal state information (CSI) available at the encoder. If CSI is unavailable, the feedback capacity is C_FB= max_P(xy') I(X;YY'), while if it is available at the encoder, the feedback capacity is C_FBCSI= max_P(uy'),x(u,s') I(U;YY'), where U is an auxiliary random variable with finite cardinality. In both formulas, the output process is a Markov process with stationary distribution. The derived formulas generalize special known instances from the literature, such as where the state is distributed i.i.d. and where it is a deterministic function of the output. C_FB and C_FBCSI are also shown to be computable via concave optimization problem formulations. Finally, we give a sufficient condition under which CSI available at the encoder does not increase the feedback capacity, and we present an interesting example that demonstrates this.
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