Prabhat Thakur, Ghanshyam Singh

Spectrum Sharing in Cognitive Radio Networks

Towards Highly Connected Environments

• Gebundenes Buch

Produktbeschreibung

SPECTRUM SHARING IN COGNITIVE RADIO NETWORKS

Discover the latest advances in spectrum sharing in wireless networks from two internationally recognized experts in the field

Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments delivers an in-depth and insightful examination of hybrid spectrum access techniques with advanced frame structures designed for efficient spectrum utilization. The accomplished authors present the energy and spectrum efficient frameworks used in high-demand distributed architectures by relying on the self-scheduled medium access control (SMC-MAC) protocol in cognitive radio networks.

The book begins with an exploration of the fundamentals of recent advances in spectrum sharing techniques before moving onto advanced frame structures with spectrum accessing approaches and the role of spectrum prediction and spectrum monitoring to eliminate interference. The authors also cover spectrum mobility, interference, and spectrum management for connected environments in substantial detail.

Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments offers readers a recent and rational theoretical mathematical model of spectrum sharing strategies that can be used for practical simulation of future generation wireless communication technologies. It also highlights ongoing trends, revealing fresh research outcomes that will be of interest to active researchers in the area. Readers will also benefit from:
_ An inclusive study of connected environments, 3GPP Releases, and the evolution of wireless communication generations with a discussion of advanced frame structures and access strategies in cognitive radio networks
_ A treatment of cognitive radio networks using spectrum prediction and monitoring techniques
_ An analysis of the effects of imperfect spectrum monitoring on cognitive radio networks
_ An exploration of spectrum mobility in cognitive radio networks using spectrum prediction and monitoring techniques
_ An examination of MIMO-based CR-NOMA communication systems for spectral and interference efficient designs

Perfect for senior undergraduate and graduate students in Electrical and Electronics Communication Engineering programs, Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments will also earn a place in the libraries of professional engineers and researchers working in the field, whether in private industry, government, or academia.

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Produktdetails

• Verlag: Wiley / Wiley & Sons
• Artikelnr. des Verlages: 1W119665420
• 1. Auflage
• Seitenzahl: 384
• Erscheinungstermin: 22. Juni 2021
• Englisch
• Abmessung: 235mm x 157mm x 25mm
• Gewicht: 740g
• ISBN-13: 9781119665427
• ISBN-10: 1119665426
• Artikelnr.: 60551021

Autorenporträt

Prabhat Thakur, PhD, is a Post-Doctoral Researcher in the Department of Electrical and Electronics Engineering Science, Faculty of Engineering and the Built Environment at the University of Johannesburg, South Africa. His research focus is on the energy, spectral, and interference efficient designs for spectrum sharing in cognitive radio communication systems.  Ghanshyam Singh, PhD, is Professor with the Department of Electrical and Electronics Engineering Science, APK Campus, at the University of Johannesburg, South Africa. He has authored or co-authored over 250 scientific papers. 

Inhaltsangabe

Preface xiii

Special Acknowledgements xxi

List of Acronyms xxiii

List of Figures xxvii

List of Tables xxxiii

List of Symbols xxxv

1 Introduction 1

1.1 Introduction 1

1.1.1 Connected Environments 2

1.1.2 Evolution of Wireless Communication 5

1.1.3 Third Generation Partnership Project 10

1.2 Cognitive Radio Technology 10

1.2.1 Spectrum Accessing/Sharing Techniques 13

1.2.1.1 Interweave Spectrum Access 14

1.2.1.2 Underlay Spectrum Access 17

1.2.1.3 Overlay Spectrum Access 17

1.2.1.4 Hybrid Spectrum Access 17

1.3 Implementation of CR Networks 20

1.4 Motivation 22

1.5 Organization of Book 23

1.6 Summary 27

References 27

2 Advanced Frame Structures in Cognitive Radio Networks 39

2.1 Introduction 39

2.2 Related Work 40

2.2.1 Frame Structures 40

2.2.2 Spectrum Accessing Strategies 41

2.3 Proposed Frame Structures for HSA Technique 43

2.4 Analysis of Throughput and Data Loss 45

2.5 Simulations and Results 47

2.6 Summary 50

References 51

3 Cognitive Radio Network with Spectrum Prediction and Monitoring

Techniques 55

3.1 Introduction 55

3.2 Related Work 57

3.2.1 Spectrum Prediction 57

3.2.2 Spectrum Monitoring 58

3.3 System Models 59

3.3.1 System Model for Approach-1 59

3.3.2 System Model for Approach-2 60

3.4 Performance Analysis 61

3.4.1 Throughput Analysis Using Approach-1 61

3.4.2 Analysis of Performance Metrics of the Approach-2 65

3.5 Results and Discussion 67

3.5.1 Proposed Approach-1 67

3.5.2 Proposed Approach-2 69

3.6 Summary 72

References 72

4 Effect of Spectrum Prediction in Cognitive Radio Networks 77

4.1 Introduction 77

4.1.1 Spectrum Access Techniques 78

4.2 System Model 80

4.3 Throughput Analysis 87

4.4 Simulation Results and Discussion 89

4.5 Summary 93

References 94

5 Effect of Imperfect Spectrum Monitoring on Cognitive Radio

Networks 97

5.1 Introduction 97

5.2 Related Work 99

5.2.1 Spectrum Sensing 99

5.2.2 Spectrum Monitoring 100

5.3 System Model 101

5.4 Performance Analysis of Proposed System Using Imperfect Spectrum

Monitoring 102

5.4.1 Computation of Ratio of the Achieved Throughput to Data Loss 108

5.4.2 Computation of Power Wastage 108

5.4.3 Computation of Interference Efficiency 109

5.4.4 Computation of Energy Efficiency 109

5.5 Results and Discussion 110

5.6 Summary 115

References 116

6 Cooperative Spectrum Monitoring in Homogeneous and

Heterogeneous Cognitive Radio Networks 121

6.1 Introduction 121

6.2 Background 122

6.3 System Model 124

6.4 Performance Analysis of Proposed CRN 126

6.4.1 Computation of Achieved Throughput and Data Loss 130

6.4.2 Computation of Interference Efficiency 131

6.4.3 Computation of Energy Efficiency 131

6.5 Results and Discussion 132

6.5.1 Homogeneous Cognitive Radio Network 132

6.5.2 Heterogeneous Cognitive Radio Networks 134

6.6 Summary 143

References 143

7 Spectrum Mobility in Cognitive Radio Networks Using Spectrum

Prediction and Monitoring Techniques 147