In pull-based AoII monitoring of general Markov sources, every reachable belief is exactly parameterized by the last observed state and the elapsed time since it, enabling reduced-state MDPs, finite truncation bounds, and Whittle-index scheduling.
Sampling of the Wiener process for remote estimation over a channel with random delay,
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Age of Incorrect Information for Pull-Based State Estimation of General Markov Sources
In pull-based AoII monitoring of general Markov sources, every reachable belief is exactly parameterized by the last observed state and the elapsed time since it, enabling reduced-state MDPs, finite truncation bounds, and Whittle-index scheduling.