Arbitrarily varying channels with constrained inputs and states
IEEE Transactions on Information Theory
Elements of information theory
Elements of information theory
Channels with side information at the transmitter
IBM Journal of Research and Development
Reliable communication under channel uncertainty
IEEE Transactions on Information Theory
Capacity and decoding rules for the Poisson arbitrarily varying channel
IEEE Transactions on Information Theory
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The continuous-time, peak-limited, infinite-bandwidth Poisson channel with spurious counts is considered. It is shown that if the times at which the spurious counts occur are known noncausally to the transmitter but not to the receiver, then the capacity is equal to that of the Poisson channel with no spurious counts. Knowing the times at which the spurious counts occur only causally at the transmitter does not increase capacity.