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A comprehensive overview of Quality of Experience control and management of multimedia services in future networks
In Multimedia Streaming in SDN/NFV and 5G Networks, renowned researchers deliver a high-level exploration of Quality of Experience (QoE) control and management solutions for multimedia services in future softwarized and virtualized 5G networks. The book offers coverage of network softwarization and virtualization technologies, including SDN, NFV, MEC, and Fog/Cloud Computing, as critical elements for the management of multimedia services in future networks, like 5G and 6G networks and beyond.
Providing a fulsome examination of end-to-end QoE control and management solutions in softwarized and virtualized networks, the book concludes with discussions of probable future challenges and research directions in emerging multimedia services and applications, 5G network management and orchestration, network slicing and collaborative service management of multimedia services in softwarized networks, and QoE-oriented business models. The distinguished authors also explore:
Perfect for researchers and engineers in multimedia services and telecoms, Multimedia Streaming in SDN/NFV and 5G Networks will also earn a place in the libraries of graduate and senior undergraduate students with interests in computer science, communication engineering, and telecommunication systems.
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.
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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