Cooperative spectrum sensing and resource allocation strategies in cognitive radio networks. ([2019])

• Record Type: Book
• Further Information: Note: Xavier Fernando, Ajmery Sultana, Sattar Hussain, Lian Zhao.
• Authors: Fernando, Xavier; Sultana, Ajmery; Hussain, Sattar; Zhao, Lian
• Contents: Contents List of Figures List of Tables List of Abbreviations 1 Introduction 1.1 An Overview of Cognitive Radio Networks (CRNs) 1.2 Cooperative Spectrum sensing in CRNs 1.2.1 Spectrum Sensing Challenges 1.2.2 Spectrum Sensing Methods 1.2.3 Diversity Combining Techniques 1.2.4 Spectrum Sensing over Fading Channels 1.2.5 Sensing and Relaying Channels 1.2.6 Cooperative Spectrum Sensing Models 2 Relay-Based Cooperative Spectrum Sensing 2.1 Single-Relay System Model 2.2 Multi-Relay System Model 2.3 End-to-End Performance over Rayleigh Fading Channels 2.4 End-to-End Performance over Non-Identical Nakagami-m Channels 3 Cluster-Based Cooperative Spectrum Sensing 3.1 Network Model 3.2 The Clustering Algorithms 3.3 Convergence Acceleration 3.4 Throughput Analysis 3.5 Performance Evolution 4 Taxonomy of the Resource Allocation in CRNs 4.1 Resource Allocation Approaches 4.2 Architecture 4.3 Basic Elements or Objectives 4.4 Resource Allocation Strategies 4.4.1 Heuristic 4.4.2Optimization 4.4.3 Graph Theory 4.4.4 Game Theory 4.4.5 Genetic Algorithms 4.4.6 Particle Swarm Intelligence Algorithms 4.4.7 Geometric water-filling (GWF) 5 Resource Allocations in CRNs 5.1 Resource Allocation in OFDM-based CRNs 5.2 Cognitive Radio System Model and Transmission Power Constraint 5.3 Problem Formulation 5.4 Subcarrier Allocation 5.5 Power Allocation using GWF Approach 5.6 Iterative Partitioned Weighted Geometric Water-Filling with Individual Peak Power (IGPP) 5.7 Performance Evaluation 6 Resource Allocationsin CRNs with D2D Communication 6.1 Resource Allocation for CRNs with D2D Communication 6.2 System Model 6.3 Problem Formulation 6.4 Proposed Resource Allocation Scheme 6.5 Adaptive Subcarrier Allocation (ASA) 6.6 Power Allocation (PA) 6.7 Performance Evaluation 7 Conclusion and Future Research Directions 7.1 Conclusion 7.2 Future Research Directions 7.2.1 Spectrum Sensing Issues 7.2.2 Channel Models 7.2.3 Cross-layer Design Approaches and Security Issues 7.2.4 Spectrum Mobility Issues 7.2.5 Multi-hop Scenario 7.2.6 Quality of Service (QoS) Management References.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource
• Subjects: 621.384; Engineering; Cognitive radio networks; Radio resource management (Wireless communications); TECHNOLOGY & ENGINEERING / Mechanical; Cognitive radio networks; Radio resource management (Wireless communications); Computers -- Hardware -- Network Hardware; Network hardware; Telecommunication; Computer Communication Networks; Technology & Engineering -- Telecommunications; Communications engineering / telecommunications; Electronic books
• Languages: English
• ISBNs: 9783319739571; 3319739573
• Related ISBNs: 9783319739564; 3319739565
• Notes: Note: Includes bibliographical references.; Note: Description based on online record; title from digital title page (viewed on July 11, 2018).
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