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In fact, Markov processes modeling the operations of wireless networks are not invertible.
The framework is based on the observation that wireless protocols induce structured and correlated behavior of the finite state machine (FSM) modeling the operations of the network.
We showed that the inherent regular and local structure of the graph associated with the FSM modeling the operations of wireless networks enables the sparse representation of cost-to-go functions.
The framework proposed herein is not tailored to a specific canonical network example, but is rather based on the inherent structure of the FSMs modeling the operations of general wireless networks.
To cope with this issue we exploit the fact that FSMs modeling the operations of wireless networks and their associated graphs present a very regular connectivity structure and the transition probabilities are determined by a limited set of parameters, e.g., packet arrival probability in the buffer of the nodes and packet failure (see Section 'Structure of the graph').
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The proposed approach is demonstrated through a small-scale example, modeling the operation of a 300 mm fab bay.
This work is aimed at modeling the operation of the FM01-LC reactor coupled with a continuous stirred tank (CST) in recirculation mode.
The analysis is performed by modeling the operation of a multimode fiber optic gyroscope (MFOG) using matrices representation of its optical components.
We study the consistency of behavioural simulation methods used to model the operations of wholesale electricity markets.
The superslot structure has been introduced as an abstraction tool to model the operation of the entire network.
We used Discrete-Event Simulation to model the operation of the map phase under both the Hadoop scheme and ECT.
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