Spectrum Sharing in Cognitive Radio Networks: Towards Highly Connected Environments

Cover
Title Page
Copyright Page
Contents
Preface
Special Acknowledgements
List of Acronyms
List of Figures
List of Tables
List of Symbols
Chapter 1 Introduction
	1.1 Introduction
		1.1.1 Connected Environments
		1.1.2 Evolution of Wireless Communication
		1.1.3 Third Generation Partnership Project
	1.2 Cognitive Radio Technology
		1.2.1 Spectrum Accessing/Sharing Techniques
			1.2.1.1 Interweave Spectrum Access
			1.2.1.2 Underlay Spectrum Access
			1.2.1.3 Overlay Spectrum Access
			1.2.1.4 Hybrid Spectrum Access
	1.3 Implementation of CR Networks
	1.4 Motivation
	1.5 Organization of Book
	1.6 Summary
	References
Chapter 2 Advanced Frame Structures in Cognitive Radio Networks
	2.1 Introduction
	2.2 Related Work
		2.2.1 Frame Structures
		2.2.2 Spectrum Accessing Strategies
	2.3 Proposed Frame Structures for HSA Technique
	2.4 Analysis of Throughput and Data Loss
	2.5 Simulations and Results
	2.6 Summary
	References
Chapter 3 Cognitive Radio Network with Spectrum Prediction and Monitoring Techniques
	3.1 Introduction
	3.2 Related Work
		3.2.1 Spectrum Prediction
		3.2.2 Spectrum Monitoring
	3.3 System Models
		3.3.1 System Model for Approach-1
		3.3.2 System Model for Approach-2
	3.4 Performance Analysis
		3.4.1 Throughput Analysis Using Approach-1
		3.4.2 Analysis of Performance Metrics of the Approach-2
	3.5 Results and Discussion
		3.5.1 Proposed Approach-1
		3.5.2 Proposed Approach-2
	3.6 Summary
	References
Chapter 4 Effect of Spectrum Prediction on Cognitive Radio Networks
	4.1 Introduction
		4.1.1 Spectrum Access Techniques
	4.2 System Model
	4.3 Throughput Analysis
	4.4 Simulation Results and Discussion
	4.5 Summary
	References
Chapter 5 Effect of Imperfect Spectrum Monitoring on Cognitive Radio Networks
	5.1 Introduction
	5.2 Related Work
		5.2.1 Spectrum Sensing
		5.2.2 Spectrum Monitoring
	5.3 System Model
	5.4 Performance Analysis of Proposed System Using Imperfect Spectrum Monitoring
		5.4.1 Computation of Ratio of the Achieved Throughput to Data Loss
		5.4.2 Computation of Power Wastage
		5.4.3 Computation of Interference Efficiency
		5.4.4 Computation of Energy Efficiency
	5.5 Results and Discussion
	5.6 Summary
	References
Chapter 6 Cooperative Spectrum Monitoring in Homogeneous and Heterogeneous Cognitive Radio Networks
	6.1 Introduction
	6.2 Background
	6.3 System Model
	6.4 Performance Analysis of Proposed CRN
		6.4.1 Computation of Achieved Throughput and Data Loss
		6.4.2 Computation of Interference Efficiency
		6.4.3 Computation of Energy Efficiency
	6.5 Results and Discussion
		6.5.1 Homogeneous Cognitive Radio Network
		6.5.2 Heterogeneous Cognitive Radio Networks
	6.6 Summary
	References
Chapter 7 Spectrum Mobility in Cognitive Radio Networks Using Spectrum Prediction and Monitoring Techniques
	7.1 Introduction
	7.2 System Model
	7.3 Performance Analysis
	7.4 Results and Discussion
	7.5 Summary
	References
Chapter 8 Hybrid Self-Scheduled Multichannel Medium Access Control Protocol in Cognitive Radio Networks
	8.1 Introduction
	8.2 Related Work
		8.2.1 CR-MAC Protocols
		8.2.2 Interference at PU
	8.3 System Model and Proposed Hybrid Self-Scheduled Multichannel MAC Protocol
		8.3.1 System Model
		8.3.2 Proposed HSMC-MAC Protocol
	8.4 Performance Analysis
		8.4.1 With Perfect Spectrum Sensing
		8.4.2 With Imperfect Spectrum Sensing
		8.4.3 More Feasible Scenarios
	8.5 Simulations and Results Analysis
		8.5.1 With Perfect Spectrum Sensing
		8.5.2 With Imperfect Spectrum Sensing
	8.6 Summary
	References
Chapter 9 Frameworks of Non-Orthogonal Multiple Access Techniques in Cognitive Radio Networks
	9.1 Introduction
		9.1.1 Related Work
		9.1.2 Motivation
		9.1.3 Organization
	9.2 CR Spectrum Accessing Strategies
	9.3 Functions of NOMA System for Uplink and Downlink Scenarios
		9.3.1 Downlink Scenario for Cellular-NOMA
		9.3.2 Uplink Scenario for Cellular-NOMA
	9.4 Proposed Frameworks of CR with NOMA
		9.4.1 Framework-1
		9.4.2 Framework-2
	9.5 Simulation Environment and Results
	9.6 Research Potentials for NOMA and CR-NOMA Implementations
		9.6.1 Imperfect CSI
		9.6.2 Spectrum Hand-off Management
		9.6.3 Standardization
		9.6.4 Less Complex and Cost-Effective Systems
		9.6.5 Energy-Efficient Design and Frameworks
		9.6.6 Quality-of-Experience Management
		9.6.7 Power Allocation Strategy for CUs to Implement NOMA Without Interfering PU
		9.6.8 Cooperative CR-NOMA
		9.6.9 Interference Cancellation Techniques
		9.6.10 Security Aspects in CR-NOMA
		9.6.11 Role of User Clustering and Challenges
		9.6.12 Wireless Power Transfer to NOMA
		9.6.13 Multicell NOMA with Coordinated Multipoint Transmission
		9.6.14 Multiple-Carrier NOMA
		9.6.15 Cross-Layer Design
		9.6.16 MIMO-NOMA-CR
	9.7 Summary
	References
Chapter 10 Performance Analysis of MIMO-Based CR-NOMA Communication Systems
	10.1 Introduction
	10.2 Related Work for Several Combinations of CR, NOMA, and MIMO Systems
	10.3 System Model
		10.3.1 Downlink Scenarios
		10.3.2 Uplink Scenario
	10.4 Performance Analysis
		10.4.1 Downlink Scenario
			10.4.1.1 Throughput Computation for MIMO-CR-NOMA
			10.4.1.2 Throughput Computation for CR-NOMA Systems
			10.4.1.3 Sum Throughput for CR-OMA, CR-NOMA, CR-MIMO, and CR-NOMA-MIMO Frameworks
		10.4.2 Uplink Scenario
			10.4.2.1 Throughput Computation for MIMO-CR-NOMA
			10.4.2.2 Throughput Calculation for CR-NOMA Systems
			10.4.2.3 Sum Throughput for CR-OMA, CR-NOMA, CR-MIMO, and CR-NOMA-MIMO Frameworks
			10.4.2.4 Computation of Interference Efficiency of CU-4 In Case of CR-MIMO-NOMA
	10.5 Simulation and Results Analysis
		10.5.1 Simulation Results for Downlink Scenario
		10.5.2 Simulation Results for Uplink Scenario
	10.6 Summary
	References
Chapter 11 Interference Management in Cognitive Radio Networks
	11.1 Introduction
		11.1.1 White space
		11.1.2 Grey Spaces
		11.1.3 Black Spaces
		11.1.4 Interference Temperature
	11.2 Interfering and Non-interfering CRN
		11.2.1 Interfering CRN
		11.2.2 Non-Interfering CRN
	11.3 Interference Cancellation Techniques in the CRN
		11.3.1 At the CU Transmitter
		11.3.2 At the CR-Receiver
	11.4 Cross-Layer Interference Mitigation in Cognitive Radio Networks
	11.5 Interference Management in Cognitive Radio Networks via Cognitive Cycle Constituents
		11.5.1 Spectrum Sensing
		11.5.2 Spectrum Prediction
		11.5.3 Transmission Below PUs' Interference Tolerable Limit
		11.5.4 Using Advanced Encoding Techniques
		11.5.5 Spectrum Monitoring
	11.6 Summary
	References
Chapter 12 Simulation Frameworks and Potential Research Challenges for Internet-of-Vehicles Networks
	12.1 Introduction
		12.1.1 Consumer IoT
		12.1.2 Industrial IoT
	12.2 Applications of CIoT
		12.2.1 Smart Home and Automation
		12.2.2 Smart Wearables
		12.2.3 Home Security and Smart Domestics
		12.2.4 Smart Farming
	12.3 Applications of Industrial IoT
		12.3.1 Smart Industry
		12.3.2 Smart Grid/Utilities
		12.3.3 Smart Communication
		12.3.4 Smart City
		12.3.5 Smart Energy Management
		12.3.6 Smart Retail Management
		12.3.7 Robotics
		12.3.8 Smart Cars/Connected Vehicles
	12.4 Communication Frameworks for IoVs
		12.4.1 Vehicle-to-Vehicle (V2V) Communication
		12.4.2 Vehicle to Infrastructure (V2I) Communication
		12.4.3 Infrastructure to Vehicles (I2V) Communication
		12.4.4 Vehicle-to-Broadband (V2B) Communication
		12.4.5 Vehicle-to-Pedestrians (V2P) Communication
	12.5 Simulation Environments for Internet-of-Vehicles
		12.5.1 SUMO
		12.5.2 Network Simulator (NetSim)
		12.5.3 Ns-2
		12.5.4 Ns-3
		12.5.5 OMNeT++
	12.6 Potential Research Challenges
		12.6.1 Social Challenges
		12.6.2 Technical Challenges
	12.7 Summary
	References
Chapter 13 Radio Resource Management in Internet-of-Vehicles
	13.1 Introduction
		13.1.1 Dedicated Short-Range Communication
		13.1.2 Wireless Access for Vehicular Environments
		13.1.3 Communication Access for Land Mobile (CALM)
	13.2 Cellular Communication
		13.2.1 3GPP Releases
		13.2.2 Long-Term Evolution
		13.2.3 New Radio
		13.2.4 Dynamic Spectrum Access
	13.3 Role of Cognitive Radio for Spectrum Management
	13.4 Effect of Mobile Nature of Vehicles/Nodes on the Networking
	13.5 Spectrum Sharing in IoVs
		13.5.1 Spectrum Sensing Scenarios
		13.5.2 Spectrum Sharing Scenarios
		13.5.3 Spectrum Mobility/Handoff Scenarios
	13.6 Frameworks of Vehicular Networks with Cognitive Radio
		13.6.1 CR-Based IoVs Networks Architecture
	13.7 Key Potentials and Research Challenges
		13.7.1 Key Potentials
		13.7.2 Research Challenges
	13.8 Summary
	References
Index
EULA