Channel Aggregation and Fragmentation for Traffic Flows /

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Bibliographic Details
Author / Creator:Jiao, Lei.
Imprint:Cham : Springer, 2020.
Description:1 online resource (104 pages)
Language:English
Series:SpringerBriefs in Electrical and Computer Engineering
SpringerBriefs in electrical and computer engineering.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12602702
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ISBN:9783030330804
303033080X
9783030330798
Notes:References2 Markov Chain and Stationary Distribution; 2.1 Basic Concept of MC; 2.2 Introduction to DTMC; 2.3 Introduction to CTMC; References; 3 Markov Chain Analysis of CA and CF with a Single Type of Users; 3.1 Flow Types and System Configurations; 3.1.1 Real-Time and Elastic Traffic Flows; 3.1.2 System Configuration and Basic Assumptions; 3.2 Analytical Models Based on CTMC; 3.2.1 System Model without CA and CF; 3.2.2 System Model with CA and CF; 3.2.2.1 Models for Elastic Flows; 3.2.2.2 Models for Real-Time Flows; 3.2.3 Numerical Results
References
Print version record.
Summary: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.
Other form:Print version: Jiao, Lei. Channel Aggregation and Fragmentation for Traffic Flows. Cham : Springer, ©2020 9783030330798
Standard no.:10.1007/978-3-030-33

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505 0 |a Intro; Preface; Acknowledgements; Contents; Abbreviations; List of Figures; List of Tables; 1 Introduction; 1.1 Channel Aggregation and Related Concepts; 1.2 Channel Fragmentation Together with Channel Aggregation; 1.3 Channel Access Schemes with Channel Aggregation and Fragmentation; 1.3.1 Communication Standards Applying CA and CF; 1.3.2 MAC Protocols in Research Articles EmployingCA and CF; 1.4 Mathematical Analyses for CA and CF in CRNs; 1.4.1 Resource Allocation in CRNs with CA and CF; 1.4.2 MC Analysis for CRNs with CA and CF; 1.5 The Main Goal and the Organization of the Book 
504 |a References2 Markov Chain and Stationary Distribution; 2.1 Basic Concept of MC; 2.2 Introduction to DTMC; 2.3 Introduction to CTMC; References; 3 Markov Chain Analysis of CA and CF with a Single Type of Users; 3.1 Flow Types and System Configurations; 3.1.1 Real-Time and Elastic Traffic Flows; 3.1.2 System Configuration and Basic Assumptions; 3.2 Analytical Models Based on CTMC; 3.2.1 System Model without CA and CF; 3.2.2 System Model with CA and CF; 3.2.2.1 Models for Elastic Flows; 3.2.2.2 Models for Real-Time Flows; 3.2.3 Numerical Results 
505 8 |a 3.2.4 Capacity Upper Bound of Elastic Traffic Flows3.2.4.1 Capacity Upper Bound of EFAFS(W, V); 3.2.4.2 Capacity Upper Bound in General; 3.2.5 The Equivalence of EFAFS(W, V) and Dy(W, V); 3.2.6 System with a Finite Number of Users; 3.3 Discussions and Summary; References; 4 Markov Chain Analysis of CA and CF with Multiple Types of Users; 4.1 Analytical Models Based on CTMCs for CRNs; 4.1.1 System Configurations and Access Strategies; 4.1.2 The Precise Model for EFAFS with Elastic Flows; 4.1.3 The Model of EFAFS in the QSR for Elastic Flows; 4.1.4 Capacity Upper Bound in the QSR for Elastic Flows 
505 8 |a 4.1.5 Models for Real-Time Flows4.1.6 Numerical Results; 4.2 Simulations and System Performance with Various Measurement-Based Distributions; 4.2.1 Simulation Procedure; 4.2.2 System Performance with Various Measurement-Based Distributions; 4.3 Discussions and Summary; References; 5 Test-Bed Evaluation of CA and CF via a Software Defined Radio; 5.1 The Communication Scenario and the Access Strategies; 5.2 System Design; 5.2.1 Test-Bed Setup; 5.2.2 Performance Metrics; 5.3 Measurement Results; 5.3.1 Numerical Configurations of the Test-Bed; 5.3.2 Numerical Results; 5.4 Discussions and Summary 
504 |a References 
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