Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems

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Valeriy Naumov Yuliya Gaidamaka

Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems

Valeriy Naumov, Yuliya Gaidamaka, Natalia Yarkina , Konstantin Samouylov

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English

Springer Nature Switzerland AG
16 February 2022

Network hardware; Computer networking & communications; Systems analysis & design

This introductory textbook is designed for a one-semester course on the use of the matrix and analytical methods for the performance analysis of telecommunication systems. It provides an introduction to the modelling and analysis of telecommunication systems for a broad interdisciplinary audience of students in mathematics and applied disciplines such as computer science, electronics engineering, and operations research.

By: Valeriy Naumov, Yuliya Gaidamaka, Natalia Yarkina, Konstantin Samouylov
Imprint: Springer Nature Switzerland AG
Country of Publication: Switzerland
Edition: 1st ed. 2021
Dimensions: Height: 235mm, Width: 155mm,
Weight: 664g
ISBN: 9783030831318
ISBN 10: 3030831310
Pages: 308
Publication Date: 16 February 2022
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Part I. Preliminaries.- 1. Modeling and performance analysis of telecommunication systems.- 2. Erlang’s systems.- 3. Multiservice loss networks.- 4. Modeling arrival and service processes.- Part II. Matrix-analytical methods.- 5. Generator matrices.- 6. Block generator matrices.- 7. Matrix-geometric solutions.- Part III. Resource queueing systems.- 8. Stochastic Lists of Resource Allocations.- 9. The Multi-Resource Service System with Service Times Dependent on the Required Amounts of Resources.- 10. Markovian systems with random resource requirements.- 11. Stochastic networks with flexible servers.- 12. Application examples and case studies.

Dr. Valeriy Naumov works for the Service Innovation Research Institute (PIKE) in Helsinki, a public non-profit research institute that focuses on theoretical and practical research for services and their improvement. Prof. Yuliya Gaidamaka, Dr. Natalia Yarkina, and Prof. Konstantin Samouylov work in the Dept. of Applied Probability and Informatics of the Peoples’ Friendship University of Russia (RUDN University) in Moscow.