Title Intelligent spectrum handovers in cognitive radio networks / Anandakumar Haldorai, Umamaheswari Kandaswamy

Published Cham : Springer, 2019

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Description 1 online resource (xiv, 217 pages) : illustrations (some color) Series EAI/Springer innovations in communication and computing, 2522-8595 EAI/Springer innovations in communication and computing, 2522-8595 Contents Intro; Preface; Contents; About the Authors; Chapter 1: Cooperative Spectrum Handovers in Cognitive Radio Networks; 1.1 Introduction; 1.1.1 Preamble; 1.1.2 Genesis of Cognitive Radio; 1.2 Overview of the Cognitive Radio; 1.2.1 Architecture of Cognitive Radio Networks; 1.2.2 Spectrum Sensing for CR; 1.2.3 Spectrum Handover in CR; 1.3 Spectrum Sensing Techniques; 1.3.1 Cooperative Spectrum Sensing; 1.3.2 Non-Cooperative Spectrum Sensing; 1.4 Literature Survey; 1.4.1 Energy Efficient Network Selection; 1.4.1.1 Intelligent and Optimized Handovers 1.4.2 Supervised Machine Learning Techniques for Cognitive Radio Handovers1.4.3 Social Aware Cognitive Radio Handovers; 1.5 Motivation of Cognitive Handovers; 1.6 Challenges of Cognitive Radio; 1.7 Objective of the Cognitive Handovers; 1.8 Cognitive Handovers Contribution; 1.9 Performance Measures; 1.9.1 Energy and Power of Signal; 1.9.2 Signal to Noise Ratio; 1.9.3 Probability of False Alarm; 1.9.4 Multimodal Test Functions; 1.10 Applications of Cognitive Radio; 1.11 Summary; References; Chapter 2: Intelligent Cognitive Radio Communications: A Detailed Approach; 2.1 Introduction 2.2 Artificial Intelligence and Cognitive Radio2.3 Principles of Mobile Radio Communications; 2.3.1 Mobile Radio Communication Principles; 2.3.2 Large-Scale Fading; 2.3.3 Concentrated Fading; 2.3.4 Small-Scale Fading; 2.3.5 The LTE Link and the Versatile Framework; 2.3.6 The LTE Portal Channel; 2.3.7 Neural Networks; 2.3.8 Fluffy Logic; 2.4 Multi-Agent Systems and Cognitive Radio; 2.5 Service Quality Employed for Video Conferencing; 2.5.1 Single CRMT Problems and Prospective Solutions; 2.5.2 The Anticipated Resolution; 2.5.3 Application; 2.5.4 Account Description; 2.6 Acquired Outcomes 2.6.1 Outcome Analysis2.7 Summary and Future Work; References; Chapter 3: Energy Efficient Network Selection for Cognitive Spectrum Handovers; 3.1 Introduction; 3.2 Literature Survey; 3.3 Energy Efficient Network Selection; 3.3.1 Significance of Energy Consumption in CRN; 3.3.2 Energy Efficient Sensing; 3.3.3 Maximize the Energy Efficiency; 3.3.4 Intelligent Channel Selection; 3.3.5 Intelligent Protocol Selection; 3.4 Proposed Energy Efficient Network Architecture; 3.4.1 Cooperative Active/Inactive Mode; 3.4.2 IEEE 802.16g Network Selection Model; 3.5 Energy Efficient Spectrum Sensing 3.5.1 Energy Efficient Multi-antenna System3.5.2 Energy Efficient Interference Management; 3.5.3 Cooperative Sensing and Optimization; 3.5.4 Direct Transmission (DT Mode); 3.5.5 Cooperative Transmission (CT Mode); 3.5.6 Cooperative Transmission Protocol; 3.5.7 Cooperative Sensing and Data Fusion; 3.6 Experimental Results; 3.6.1 Energy Simulation Setup; 3.6.2 Energy Consumption Result Analysis; 3.6.2.1 Single Relay Model; 3.6.2.2 Multi-Relay Model; 3.7 Discussion; 3.8 Summary; References; Chapter 4: Software Radio Architecture: A Mathematical Perspective; 4.1 Introduction; 4.2 SRA Functions Summary This book highlights the need for an efficient Handover Decision (HD) mechanism to perform switches from one network to another and to provide unified and continuous mobile services that include seamless connectivity and ubiquitous service access. The author shows how the HD involves efficiently combining handover initiation and network selection process. The author describes how the network selection decision is a challenging task that is a central component to making HD for any mobile user in a heterogeneous environment that involves a number of static and dynamic parameters. The author also discusses prevailing technical challenges like Dynamic Spectrum Allocation (DSA) methods, spectrum sensing, cooperative communications, cognitive network architecture protocol design, cognitive network security challenges and dynamic adaptation algorithms for cognitive system and the evolving behavior of systems in general. The book allows the reader to optimize the sensing time for maximizing the spectrum utilization, improve the lifetime of the cognitive radio network (CRN) using active scan spectrum sensing techniques, analyze energy efficiency of CRN, find a secondary user spectrum allocation, perform dynamic handovers, and use efficient data communication in the cognitive networks. Identifies energy efficient spectrum sensing techniques for Cooperative Cognitive Radio Networks (CRN); Shows how to maximize the energy capacity by minimizing the outage probability; Features end-of-chapter summaries, performance measures, and case studies Notes Online resource; title from PDF title page (SpringerLink, viewed May 13, 2019) Subject Cognitive radio networks. COMPUTERS -- Computer Literacy. COMPUTERS -- Computer Science. COMPUTERS -- Data Processing. COMPUTERS -- Hardware -- General. COMPUTERS -- Information Technology. COMPUTERS -- Machine Theory. COMPUTERS -- Reference. Cognitive radio networks Form Electronic book Author Kandaswamy, Umamaheswari, author ISBN 9783030154165 3030154165 3030154157 9783030154158 9783030154172 3030154173 9783030154189 3030154181

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