Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Channels with side information at the transmitter
IBM Journal of Research and Development
The capacity of channels with feedback
IEEE Transactions on Information Theory
Capacity of fading channels with channel side information
IEEE Transactions on Information Theory
Capacity of Markov channels with receiver CSI and delayed feedback
IEEE Transactions on Information Theory
On the capacity of some channels with channel state information
IEEE Transactions on Information Theory
The capacity of finite-State Markov Channels With feedback
IEEE Transactions on Information Theory
Feedback capacity of finite-state machine channels
IEEE Transactions on Information Theory
The multiple-access channel with partial state information at the encoders
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Capacity With Causal and Noncausal Side Information: A Unified View
IEEE Transactions on Information Theory
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We provide a single letter characterization of the capacity region for independent, identically distributed, finite-state channels, with partial (quantized) state information, when the channel state information is available at the receiver. The partial state information is asymmetric at the encoders. The problem is practically relevant, and provides a tractable optimization problem. We also consider the case where the channel has memory.