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Author:   Alcardo Barakabitze (University College Dublin (UCD), Dublin, Ireland) ,  Andrew Hines (University College Dublin (UCD), Dublin, Ireland)
Publisher:   John Wiley & Sons Inc
Imprint:   Wiley-IEEE Press
Dimensions:   Width: 15.20cm , Height: 1.60cm , Length: 22.90cm
Weight:   0.635kg
ISBN:  

9781119800798

ISBN 10:   111980079
Pages:   272
Publication Date:   30 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock  
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Biography of Authors xi Abstract xiii List of Figures xv List of Tables xix Preface xxi Acknowledgments xxv List of Acronyms xxvii 1 5G Networks 1 1.1 History of Mobile Communication Systems 1 1.2 5G: Vision and Motivation 3 1.3 5G Service Quality and Business Requirements 6 1.3.1 High User Experienced Data Rate and Ultra-Low Latency 7 1.3.2 Transparency, Consistency, User’s QoE Personalization, and Service Differentiation 9 1.3.3 Enhanced Security, Mobility, and Services Availability 9 1.3.4 Seamless User Experience, Longer Battery Life, and Context Aware Networking 10 1.3.5 Energy and Cost Efficiency, Network Scalability, and Flexibility 10 1.4 5G Services, Applications, and Use Cases 11 1.5 5G Standardization Activities 12 1.6 Conclusion 14 Bibliography 14 2 5G Network Management for Big Data Streaming using Machine Learning 19 2.1 Machine Learning for Multimedia Networking 19 2.1.1 Data Collection 20 2.1.2 Feature Engineering 21 2.1.3 Ground Truth Quality Perception – Model Optimization and Training 22 2.1.4 Performance Metrics, Testing, and Model Validation 22 2.2 Machine Learning Paradigms 22 2.3 Multimedia Big Data Streaming 23 2.4 Deep Learning for IoT Big Data and Streaming Analytics 25 2.5 Intelligent QoE-based Big Data Strategies and Multimedia Streaming in Future Softwarized Networks 26 2.6 Optimization of Data Management with ML in Softwarized 5G Networks 27 2.6.1 A Multimodal Learning Framework for Video QoE Prediction 27 2.6.2 Supervised-Learning-based QoE Prediction of Video Streaming in Future Networks 28 2.6.3 OTT Service Providers 29 2.6.4 ISP/MNOs 29 2.6.5 Information Flow 29 2.7 Conclusion 30 Bibliography 31 3 Quality of Experience Management of Multimedia Streaming Services 35 3.1 Quality of Experience (QoE): Concepts and Definition 35 3.1.1 Quality of Experience Influence Factors 36 3.2 QoE Modeling and Assessment: Metrics and Models 38 3.2.1 Subjective Quality Models 38 3.2.2 Objective Quality Models 39 3.2.3 Data-driven Quality Models 41 3.3 QoE Measurement, Assessment, and Management 42 3.4 QoE Optimization and Control of Multimedia Streaming Services 43 3.4.1 Customer Experience Management and QoE Monitoring 47 3.5 Conclusion 51 Bibliography 51 4 Multimedia Streaming Services Over the Internet 57 4.1 Internet-Based Video Streaming: An Overview 57 4.1.1 A Brief History of Internet-Based Video Streaming 57 4.2 HTTP Adaptive Streaming (HAS) Framework 59 4.3 Server and Network-Assisted DASH (SAND) 63 4.4 Multimedia Delivery Chain and Service Management Issues 66 4.5 Conclusion 68 Bibliography 68 5 QoE Management of Multimedia Services Using Machine Learning in SDN/NFV 5G Networks 73 5.1 QoE-Centric Routing Mechanisms for Improving Video Quality 74 5.2 MPTCP/SR and QUIC Approaches for QoE Optimization 76 5.3 Server and Network-Assisted Optimization Approaches Using Sdn/nfv 80 5.4 QoE-Centric Fairness and Personalized QoE Control 84 5.4.1 QoE-driven Optimization Approaches for Video Streaming Using Machine Learning 86 5.5 Conclusion 89 Bibliography 89 6 Network Softwarization and Virtualization in Future Networks: The promise of SDN, NFV, MEC, and Fog/Cloud Computing 99 6.1 Network Softwarization: Concepts and Use Cases 99 6.2 Network Softwarization and Virtualization Technologies for Future Communication Platforms 100 6.2.1 Software-Defined Networking (SDN) 100 6.2.2 Standardization Activities of SDN 102 6.2.3 Traffic Management Applications for Stateful SDN Data Plane 103 6.2.4 Network Function Virtualization (NFV) 103 6.2.5 NFV Management and Orchestration (NFV MANO) Framework 106 6.2.6 NFV Use Cases, Application Scenarios, and Implementation 107 6.2.7 NFV Standardization Activities 107 6.2.8 Network Hypervisors, Containers, and Virtual Machines 108 6.2.9 Multiaccess Edge Computing (MEC): From Clouds to Edges 110 6.3 Conclusion 111 Bibliography 112 7 Management of Multimedia Services in Emerging Architectures Using Big Data Analytics: MEC, ICN, and Fog/Cloud computing 119 7.1 QoE-Aware/Driven Adaptive Streaming Over MEC Architectures 119 7.2 QoE-aware Self-Driving 3D Network Architecture 121 7.3 QoE-driven/aware Management Architecture Using ICN 124 7.4 QoE-aware Adaptive Streaming over Cloud/Fog Computing 126 7.5 Conclusion 127 Bibliography 127 8 Emerging Applications and Services in Future 5G Networks 133 8.1 QoE in Immersive AR/VR and Mulsemedia Applications 133 8.2 QoE in Cloud Gaming Video Streaming Applications 135 8.3 QoE in Light Field Applications 136 8.4 Holographic and Future Media Communications 137 8.5 Human-Centric Services and 3D Volumetric Video Streaming 137 8.6 New Video Compression Standards Toward 6G Networks 139 8.7 Conclusion 140 Bibliography 141 9 5G Network Slicing Management Architectures and Implementations for Multimedia 147 9.1 5G Network Slicing Architectures and Implementations 147 9.1.1 Collaborative 5G Network Slicing Research Projects 148 9.1.2 Open Source Orchestrators, Proof of Concepts, and Standardization Efforts 152 9.2 5G Network Slicing Orchestration and Management in Multi-domain 156 9.2.1 Reference Architecture for Data-Driven Network Management in 6G and Beyond Networks 158 9.3 Conclusion 161 Bibliography 162 10 QoE Management of Multimedia Service Challenges in 5G Networks 167 10.1 QoE Management and Orchestration in Future Networks 167 10.2 Immersive Media Experience in Future Softwarized and Beyond Networks 168 10.3 Development of New Subjective Assessment Methodologies for Emerging Services and Applications 170 10.4 QoE-aware Network Sharing and Slicing in Future Softwarized Networks 171 10.5 QoE Measurement, Modeling, and Testing Issues Over 6G Networks 172 10.6 QoE-Centric Business Models in Future Softwarized Network 172 10.7 Novel QoE-driven Virtualized Multimedia 3D Services Delivery Schemes Over 6G Networks 174 10.8 Novel 3D Cloud/Edge Models for Multimedia Applications and Elastic 3D Service Customization 174 10.9 Security, Privacy, Trust 176 10.10 Conclusion 177 Bibliography 178 11 Multimedia QoE-Driven Services Delivery Toward 6G and Beyond Network 185 11.1 The Roads Toward 6G and Beyond Networks 185 11.1.1 Holographic and Future Media Communications 189 11.1.2 Human-Centric Services and 3D Volumetric Video Streaming 190 11.1.3 Potential Features and Technologies in 6G Networks 191 11.2 6G Innovative Network Architectures: From Network Softwarization to Intelligentization 194 11.2.1 Network Management, Automation, and Orchestration 194 11.2.2 Pervasive AI, ML, and Big Data Analytics 196 11.2.3 New Protocol Stack and 3D Network Architectures 197 11.3 6G Standardization Activities 198 11.4 Conclusion 199 Bibliography 199 12 Multimedia Streaming Services Delivery in 2030 and Beyond Networks 203 12.1 The Future of the Video Streaming Industry: Market Growth and Trends Toward 2030 203 12.2 Future 2030 Communication Network and Computing Scenarios 204 12.3 New Paradigms of Internetworking for 2030 and Beyond Networks 206 12.3.1 Next-Generation Human–Machine Interaction Network: A Humancentric Hyper-real Experience 207 12.3.2 Multimedia Streaming Blockchain-enabled Resource Management and Sharing for 2030 and Beyond Networks 209 12.4 A General QoE Provisioning Ecosystem for 2030 and Beyond Networks 211 12.4.1 Customer QoE Quantification 213 12.4.2 QoE Analysis, Assessment, Measurement, and Visualization 213 12.4.3 5G Network Performance and QoE Optimization 214 12.4.4 Multistakeholders Collaboration for Video Content Delivery and Network Infrastructures 214 12.5 Conclusion 218 Bibliography 218 Index 221

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Author Information

Alcardo Barakabitze, PhD, is an Irish Research Council funded and MSCA ELITE-S Fellow at Dublin City University. He is a reviewer for a variety of journals and serves on the technical program committees of leading conferences. Andrew Hines, PhD, is Director of Research, Innovation and Impact for the School of Computer Science at University College Dublin. He is a committee member of the Audio Engineering Society (Ireland) and is a senior member of the IEEE.

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