Sheluhin / Smolskiy / Osin | Self-Similar Processes in Telecommunications | E-Book | sack.de
E-Book

E-Book, Englisch, 334 Seiten, E-Book

Sheluhin / Smolskiy / Osin Self-Similar Processes in Telecommunications


1. Auflage 2007
ISBN: 978-0-470-06210-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 334 Seiten, E-Book

ISBN: 978-0-470-06210-4
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



For the first time the problems of voice services self-similarityare discussed systematically and in detail with specific examplesand illustrations.
Self-Similar Processes in Telecommunications considersthe self-similar (fractal and multifractal) models oftelecommunication traffic and efficiency based on the assumptionthat its traffic has fractal or multifractal properties (isself-similar). The theoretical aspects of the most well-knowntraffic models demonstrating self-similar properties are discussedin detail and the comparative analysis of the differentmodels' efficiency for self-similar traffic is presented.
This book demonstrates how to use self-similar processes fordesigning new telecommunications systems and optimizing existingnetworks so as to achieve maximum efficiency and serviceability.The approach is rooted in theory, describing the algorithms (thelogical arithmetical or computational procedures that define how atask is performed) for modeling these self-similar processes.However, the language and ideas are essentially accessible forthose who have a general knowledge of the subject area and theadvice is highly practical: all models, problems and solutions areillustrated throughout using numerous real-world examples.
* Adopts a detailed, theoretical, yet broad-based and practicalmathematical approach for designing and operating numerous types oftelecommunications systems and networks so as to achieve maximumefficiency
* Places the subject in context, describing the currentalgorithms that make up the fractal or self-similar processes whilepointing to the future development of the technology
* Offers a comparative analysis of the different types ofself-similar process usage within the context of local areanetworks, wide area networks and in the modeling of video trafficand mobile communications networks
* Describes how mathematical models are used as a basis forbuilding numerous types of network, including voice, audio, data,video, multimedia services and IP (Internet Protocol)telephony
The book will appeal to the wide range of specialists dealingwith the design and exploitation of telecommunication systems. Itwill be useful for the post-graduate students, lecturers andresearchers connected with communication networks disciplines.

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Weitere Infos & Material


Oleg I. Sheluhin is Head of Department of the RadioEngineering and Systems department of Moscow State TechnicalUniversity of Service (MSTUS). He specializes in the areas ofstatistical radio engineering, radio systems theory and informationsystems simulation.
Sergey M. Smolskiy is Head of the Department of RadioReceivers in the Moscow Power Engineering Institute (MPEI).He has extensive experience in the field of telecommunications andis an active member of IEEE. His recent research topics include lowdistance radar systems and radio measuring systems.
Andrey V. Osin is currently Assistant Professor in theDepartment of Radio Engineering and Radio Systems at MSTUC. His PhDthesis focused on imitation modeling of self-similar processes intelecommunications and he has since published widely on the subjectin numerous articles and conference journals.



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