Jiao | Channel Aggregation and Fragmentation for Traffic Flows | E-Book | sack.de
E-Book

E-Book, Englisch, 104 Seiten, eBook

Reihe: SpringerBriefs in Electrical and Computer Engineering

Jiao Channel Aggregation and Fragmentation for Traffic Flows


1. Auflage 2019
ISBN: 978-3-030-33080-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 104 Seiten, eBook

Reihe: SpringerBriefs in Electrical and Computer Engineering

ISBN: 978-3-030-33080-4
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This book introduces the impact of channel aggregation (CA) and channel fragmentation (CF) on traffic flows, through analytical models, computer simulations, and test-bed implementations. Its content includes the concept of CA and CF, the basic concept and calculation of Markov chains (MCs), the modeling process of the CA and CF enabled system via MCs, the process of simulations, and a test-bed study based on a software defined radio. This book can serve as a study guide for advanced-level students, who are interested in studying the impact of CA and CF techniques on traffic flows. This book would also interest communication engineers, who would like to learn MC modeling for performance evaluations, as it includes a step-by-step guidance for the modeling process via MCs, as well as its simulation approaches.
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Zielgruppe


Research


Autoren/Hrsg.


Weitere Infos & Material


1 Introduction.- 2 Markov chain and stationary distribution.- 3 Markov chain analysis of CA and CF with a single type of users.- 4 Markov chain analysis of CA and CF with multiple types of users.- 5 Test-bed evaluation of CA and CF via a software defined radio.


Lei Jiao obtained his Ph.D. degree in Information and Communication Technology (ICT) from the University of Agder (UiA), Norway, in 2012. He is currently an Associate Professor with the Department of ICT in UiA. He is responsible for several courses in Bachelor and Master level, such as signal processing and access in wireless networks. His research interests include modeling of stochastic process, performance evaluations of communication systems, and machine learning. He is a Senior Member of IEEE.



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