This article's goal is to provide an in-depth understanding of the principles of FSMC
modeling of fading channels with its applications in wireless communication systems. While …

This paper addresses the stability of a Kalman filter when measurements are intermittently
available due to constraints in the communication channel between the sensor and the …

This paper investigates the properties of a method for obtaining Markov models of
unspecified order to be applied to narrow-band fading channels with additive white …

We propose an online algorithm for sequential learning in the contextual multiarmed bandit
setting. Our approach is to partition the context space and, then, optimally combine all of the …

In this paper, time-varying flat-fading channels are modeled as first-order finite-state Markov
channels (FSMC). The effect of this modeling on the channel information capacity is …

In order to understand the behaviour of upper‐layer protocols and to design or fine tune their
parameters over wireless networks, it is common to assume that the underlying channel is a …

In order to understand the behavior of upper layer protocols and to design or fine tune their
parameters over wireless networks, it is common to assume that the underlying channel is a …

Modeling dynamical systems via data-driven approaches, particularly using a probabilistic
finite state automaton (PFSA), involves constructing models directly from data. This …

The authors propose an analytical method, based on the sphere-packing bound, which can
be used to assess the achievable performance of transmission techniques, adopting efficient …

A finite state Markov channel (FSMC) model for a digital narrowband mobile LEO satellite
channel is presented, which can be used to predict the time-varying behaviour of the …