Channel Aggregation and Fragmentation for Traffic Flows

Channel Aggregation and Fragmentation for Traffic Flows

by Lei Jiao
ISBN-10:
3030330796
ISBN-13:
9783030330798
Pub. Date:
11/26/2019
Publisher:
Springer International Publishing
ISBN-10:
3030330796
ISBN-13:
9783030330798
Pub. Date:
11/26/2019
Publisher:
Springer International Publishing
Channel Aggregation and Fragmentation for Traffic Flows

Channel Aggregation and Fragmentation for Traffic Flows

by Lei Jiao
$54.99
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Overview

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.

Product Details

ISBN-13: 9783030330798
Publisher: Springer International Publishing
Publication date: 11/26/2019
Series: SpringerBriefs in Electrical and Computer Engineering
Edition description: 1st ed. 2020
Pages: 92
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

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 shastic process, performance evaluations of communication systems, and machine learning. He is a Senior Member of IEEE.

Table of Contents

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.
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