Stationary Distributions of Time-Homogeneous Markov Processes Modeling Message-Switching Communication Networks

The article focuses on stationary distributions of time-homogeneous Markov processes modeling message-switching communication networks. Necessary conditions are derived for the existence of a stationary distribution and a construction is given which simplifies the proof of their sufficiency. Working formulas are proposed for calculating the stationary distribution as the sum of a series.