Lecture
This lecture covers stochastic models for communications, focusing on discrete-time Markov chains. Topics include ergodic chains, examples of irreducible, ergodic, aperiodic, and recurrent positive chains. The lecture also discusses stationary distribution, transition probabilities, and properties of Markov chains.