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In this paper, we study Poisson fading channels with time-varying background light. Different from most of the existing work on fading Poisson channel that focus on the case with time-varying channel gain, our model is motivated by indoor optical wireless communication systems, in which the noise level is affected by the strength of the background light. We study both the single-input single-output...
Motivated by distributed inference over big datasets problems, we study multi-terminal distributed hypothesis testing problems in which each terminal has data related to only one random variable. We consider a case of practical interest in which each terminal is allowed to send zero-rate messages to a decision maker. Subject to a constraint that the error exponent of the type 1 error probability is...
In this paper, we consider the problem of quickest change detection and identification over a linear array of N sensors, in which a change could first occur at any of these sensors and then propagate to other sensors. Our goal is not only to detect the presence of such a change as quickly as possible, but also to identify the sensor that the change pattern first reaches. We jointly design two decision...
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