Titlebook: Queuing Theory and Telecommunications; Networks and Applica Giovanni Giambene Textbook 2021Latest edition The Editor(s) (if applicable) and

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Survey on Probability Theoryommon continuous and discrete random variables, how to deal with sum, difference, product and division of random variables, the use of the probability generating function, characteristic function, and Laplace transform. Some exercises are provided at the end.

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Markov Chains and Queuing Theoryd and the most important performance parameters derived. In particular, the following queuing systems are solved as: M/M/1, M/M/., M/M/./., M/M/././.. The Erlang-B analysis is provided and applied to a general service time. An approach is presented to solve multi-dimensional Markov chains and relate

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M/G/1 Queuing Theory and Applicationsely, there are many cases where the service time has not an exponential distribution. This section presents the analytical method to solve the M/G/1 queue in the transform domain in terms of probability generating functions. The theoretical approach is based on imbedded Markov chains. Special cases

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Local Area Networks and Analysisquilibrium Point Analysis, has also been discussed for the analysis of random access protocols. Finally, a survey is provided on both IEEE 802.3 (Ethernet) and IEEE 802.11 (WiFi) standards and their evolutions towards higher capacity.

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