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

E-Book, Englisch, 104 Seiten

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

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.

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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Weitere Infos & Material


1;Preface;6
2;Acknowledgements;7
3;Contents;8
4;Abbreviations;10
5;List of Figures;12
6;List of Tables;14
7;1 Introduction;15
7.1;1.1 Channel Aggregation and Related Concepts;15
7.2;1.2 Channel Fragmentation Together with Channel Aggregation;17
7.3;1.3 Channel Access Schemes with Channel Aggregation and Fragmentation;17
7.3.1;1.3.1 Communication Standards Applying CA and CF;17
7.3.2;1.3.2 MAC Protocols in Research Articles EmployingCA and CF;18
7.4;1.4 Mathematical Analyses for CA and CF in CRNs;20
7.4.1;1.4.1 Resource Allocation in CRNs with CA and CF;21
7.4.2;1.4.2 MC Analysis for CRNs with CA and CF;22
7.5;1.5 The Main Goal and the Organization of the Book;25
7.6;References;26
8;2 Markov Chain and Stationary Distribution;30
8.1;2.1 Basic Concept of MC;30
8.2;2.2 Introduction to DTMC;31
8.3;2.3 Introduction to CTMC;34
8.4;References;41
9;3 Markov Chain Analysis of CA and CF with a Single Type of Users;42
9.1;3.1 Flow Types and System Configurations;42
9.1.1;3.1.1 Real-Time and Elastic Traffic Flows;42
9.1.2;3.1.2 System Configuration and Basic Assumptions;43
9.2;3.2 Analytical Models Based on CTMC;44
9.2.1;3.2.1 System Model without CA and CF;44
9.2.2;3.2.2 System Model with CA and CF;45
9.2.2.1;3.2.2.1 Models for Elastic Flows;45
9.2.2.2;3.2.2.2 Models for Real-Time Flows;52
9.2.3;3.2.3 Numerical Results;53
9.2.4;3.2.4 Capacity Upper Bound of Elastic Traffic Flows;58
9.2.4.1;3.2.4.1 Capacity Upper Bound of EFAFS(W,V);59
9.2.4.2;3.2.4.2 Capacity Upper Bound in General;62
9.2.5;3.2.5 The Equivalence of EFAFS(W,V) and Dy(W,V);65
9.2.6;3.2.6 System with a Finite Number of Users;68
9.3;3.3 Discussions and Summary;69
9.4;References;69
10;4 Markov Chain Analysis of CA and CF with Multiple Types of Users;71
10.1;4.1 Analytical Models Based on CTMCs for CRNs;71
10.1.1;4.1.1 System Configurations and Access Strategies;71
10.1.2;4.1.2 The Precise Model for EFAFS with Elastic Flows;73
10.1.3;4.1.3 The Model of EFAFS in the QSR for Elastic Flows;76
10.1.4;4.1.4 Capacity Upper Bound in the QSR for Elastic Flows;78
10.1.5;4.1.5 Models for Real-Time Flows;80
10.1.6;4.1.6 Numerical Results;82
10.2;4.2 Simulations and System Performance with Various Measurement-Based Distributions;88
10.2.1;4.2.1 Simulation Procedure;88
10.2.2;4.2.2 System Performance with Various Measurement-Based Distributions;92
10.3;4.3 Discussions and Summary;93
10.4;References;94
11;5 Test-Bed Evaluation of CA and CF via a Software Defined Radio;95
11.1;5.1 The Communication Scenario and the Access Strategies;95
11.2;5.2 System Design;96
11.2.1;5.2.1 Test-Bed Setup;96
11.2.2;5.2.2 Performance Metrics;99
11.3;5.3 Measurement Results;101
11.3.1;5.3.1 Numerical Configurations of the Test-Bed;101
11.3.2;5.3.2 Numerical Results;101
11.4;5.4 Discussions and Summary;103
11.5;References;103



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