6G: The Next Horizon: From Connected People and Things to Connected Intelligence
- Length: 400 pages
- Edition: 1
- Language: English
- Publisher: Cambridge University Press
- Publication Date: 2021-06-30
- ISBN-10: 1108839320
- ISBN-13: 9781108839327
- Sales Rank: #1509948 (See Top 100 Books)
The first book on 6G wireless presents an overall vision for 6G – an era of intelligence-of-everything – with drivers, key capabilities, use cases, KPIs, and the technology innovations that will shape it. These innovations include immersive human-centric communication, sensing, localization, and imaging, connected machine learning and networked AI, Industry 4.0 and beyond with connected intelligence, smart cities and life, and the satellite mega-constellation for 3D full-Earth wireless coverage. Also covered are new air-interface and networking technologies, integrated sensing and communications, and integrated terrestrial and non-terrestrial networks. In addition, novel network architectures to enable network AI, user centric networks, native trustworthiness are discussed. Essential reading for researchers in academia and industry working on B5G wireless communications.
Copyright Contents List of Contributors Preface List of Abbreviations Part I Introduction 1 Mobile Communications Towards 2030 and Beyond 1.1 Evolution of Mobile Communications 1.2 Key Drivers 1.3 Overall Vision 1.3.1 Key Technology Trends 1.3.2 Typical Use Cases 1.3.3 Target KPIs 1.4 Structure of the Book References Part II Use Cases and Target KPIs Introduction to Part II 2 Extremely Immersive Human-Centric Experience 2.1 Ultimate Immersive Cloud VR 2.1.1 Transmission Latency Requirements 2.1.2 Throughput Requirements 2.1.3 Summary of Main Requirements for Ultimate VR 2.2 Haptic and Multi-Sensory Communication 2.2.1 Teleoperation in Highly Dynamic Environments 2.2.2 Main Requirements for Highly Dynamic Teleoperation 2.3 Glass-Free 3D and Holographic Displays 2.3.1 Background of Glass-Free 3D Displays 2.3.2 Glass-Free 3D Image Reconstruction Techniques 2.3.3 Resolution and Latency Requirements 2.3.4 Main Requirements for Glass-Free 3D Displays References 3 Sensing, Localization, and Imaging 3.1 High-Accuracy Localization 3.1.1 Absolute Localization 3.1.2 Relative Localization 3.1.3 Semantic Localization 3.2 Simultaneous Imaging, Mapping, and Localization 3.2.1 Simultaneous Localization and Mapping 3.2.2 Indoor Imaging and Mapping 3.2.3 Outdoor Imaging and Mapping 3.3 Augmented Human Sensing 3.3.1 Seeing Beyond the Eye – Ultra-High Resolution 3.3.2 Seeing Beyond the Eye – Making the Invisible Visible 3.3.3 Seeing Beyond the Eye – Spectrogram Recognition 3.4 Gesture and Activity Recognition 3.4.1 Contactless Control – Macro Recognition 3.4.2 Contactless Control – Micro Recognition References 4 Full-Capability Industry 4.0 and Beyond 4.1 Factory of the Future 4.2 Motion Control 4.3 Collaborative Robots in a Group 4.4 From Intelligent Cobots to Cyborgs References 5 Smart City and Smart Life 5.1 Smart Transportation 5.2 Smart Building 5.3 Smart Healthcare 5.4 Smart Services Enabled by UAV References 6 Global Coverage for Mobile Services 6.1 Broadband Wireless Access for the Unconnected 6.1.1 Mobile Broadband for the Unconnected 6.1.2 Broadband Connection on the Move 6.1.3 First Responder Communication and Disaster Relief 6.2 Wide-Ranging IoT Services Extended to Unconnected Locations 6.3 High-Precision Positioning and Navigation 6.4 Real-Time Earth Observation and Protection References 7 Connected Machine Learning and Networked AI 7.1 AI-Enhanced 6G Services and Operations 7.1.1 AI-Enhanced 6G Network Performance 7.1.2 AI-Enhanced Network Operations 7.2 6G-Enabled AI Services 7.2.1 6G for Collaborative Intelligence and Real-Time Control 7.2.2 6G for Large-Scale Intelligence References Summary of Part II Part III Theoretical Foundations Introduction to Part III 8 Theoretical Foundations for Native AI and Machine Learning 8.1 Fundamental AI Theory 8.1.1 Definitions 8.1.2 Machine Learning Taxonomy 8.1.3 Information Theoretic Principle of DNN 8.1.4 DNN Implementations 8.2 Distributed AI Theory 8.3 Dynamic Bayesian Network Theory References 9 Theoretical Foundations for Massive Capacity and Connectivity 9.1 Electromagnetic Information Theory 9.2 Large-Scale Communication Theory References 10 Theoretical Foundations for Future Machine Type Communications 10.1 Semantic Communication Theory 10.2 Super-Resolution Theory References 11 Theoretical Foundations for Energy-Efficient Systems 11.1 Energy-Efficient Communication and Computation Theory 11.2 Green AI Theory References Summary of Part III Part IV New Elements Introduction to Part IV 12 New Spectrum 12.1 Global Spectrum Allocation of 5G up to 2020 12.2 6G Spectrum Requirements 12.3 Mid-Bands Remain the Most Cost-Effective Way for Wide Coverage 12.4 Millimeter Wave Bands Become Mature in the 6G Era 12.5 THz Bands Open New Possibilities for Sensing and Communication References 13 New Channels 13.1 New Requirements of 6G Channel Modeling 13.2 Channel Measurement in 6G 13.2.1 Channel Measurement in New Spectrum 13.2.2 Channel Measurement in New Scenarios References 14 New Materials 14.1 Silicon Advancement 14.2 Heterogeneous III-V Material Platform 14.3 Reconfigurable Material 14.4 Photonic Crystal 14.5 Photovoltaics Material and Photodetector 14.6 Plasmonic Material References 15 New Antennas 15.1 Photoconductive Lens Antenna 15.2 Reflectarray and Transmitarray 15.3 Metasurfaces 15.4 Nano-Photodetectors 15.5 Antenna-on-Chip and Antenna-in-Package 15.6 Orbital Angular Momentum References 16 THz Technology 16.1 THz Components 16.1.1 Electronic Approach 16.1.2 Hybrid and Photonic Approaches 16.2 THz Systems 16.2.1 THz Communication Systems 16.2.2 THz Imaging and Sensing Systems 16.3 Challenges References 17 Post Moore’s Law Computing 17.1 Post Moore’s Law Era 17.2 Neuromorphic Computing 17.3 Quantum Computing 17.4 New Computing Architectures References 18 New Devices 18.1 Future Mobile Devices 18.2 Future Brain and Device Interface 18.3 New Wearable References Summary of Part IV Part V Enabling Technologies for 6G Air Interface Design Introduction to Part V 19 Intelligent Air Interface Framework 19.1 Background and Motivations 19.2 Overview of Existing Technologies 19.2.1 Spectrum Utilization and Energy Efficiency in NR 19.2.2 AI/ML for the PHY Layer 19.2.3 AI/ML for the MAC Layer 19.3 New Design Expectations and Potential Research Directions 19.3.1 AI-Enabled Personalized Air Interface 19.3.2 E2E AI-Based Link Design and Open Problems References 20 Integrated Terrestrial and Non-Terrestrial Communication 20.1 Background and Motivations 20.2 Overview of Existing Solutions 20.3 New Design Expectations and Potential Research Directions 20.3.1 Integrated Multi-Layer Network 20.3.2 Enhanced Non-Terrestrial Communications References 21 Integrated Sensing and Communication 21.1 Background and Motivations 21.2 Overview of Existing Solutions 21.3 New Design Expectations and Potential Research Directions 21.3.1 System Design Aspects for Integrated Sensing and Communications 21.3.2 RF Sensing Design and Algorithms References 22 New Waveforms and Modulation Schemes 22.1 Background and Motivation 22.2 Overview of Existing Solutions 22.2.1 Multi-Carrier Waveforms 22.2.2 Single-Carrier Waveforms 22.2.3 Modulation Schemes 22.2.4 Sensing Waveforms 22.3 New Design Expectations and Potential Research Directions References 23 New Coding 23.1 Background and Motivations 23.2 Channel Coding Schemes 23.2.1 Background 23.2.2 Target KPIs of 6G Channel Coding 23.2.3 6G Channel Coding Design Principles 23.3 Joint Source and Channel Coding 23.3.1 Research Background 23.3.2 JSCC Based on ML 23.3.3 6G JSCC Design Principles 23.4 PHY Network Coding 23.4.1 Background 23.4.2 6G PHY Network Coding Design Principles References 24 New Multiple Access 24.1 Background and Motivations 24.2 Overview of Existing Solutions 24.2.1 Orthogonal Multiple Access 24.2.2 Non-Orthogonal Multiple Access 24.2.3 Grant-Free MA 24.3 New Design Expectations and Potential Research Directions 24.3.1 MA for Large-Capacity URLLC Services 24.3.2 MA for Extremely Low-Cost and Low-Power Devices 24.3.3 MA for Super-Massive Connectivity 24.3.4 MA for Robust Beamforming 24.3.5 MA with AI Assistance References 25 Ultra-Massive MIMO 25.1 Background and Motivations 25.2 Overview of Existing Solutions 25.2.1 MIMO Technologies for FR1 25.2.2 MIMO Support for FR2 25.2.3 Cooperative MIMO 25.3 Emerging MIMO Technologies 25.3.1 THz MIMO 25.3.2 Reconfigurable Intelligent Surfaces 25.3.3 Extremely Large Aperture Arrays 25.3.4 AI-Assisted MIMO 25.3.5 Other Potential MIMO Technologies 25.4 New Design Expectations and Potential Research Directions 25.4.1 Sensing-Assisted MIMO 25.4.2 Controllable Radio Channel and Topology 25.4.3 MIMO at FR2 and THz 25.4.4 Extremely Large Aperture Arrays 25.4.5 AI-Enabled MIMO References 26 Integrated Super-Sidelink and Access Link Communication 26.1 Background and Motivations 26.2 Overview of Existing Solutions 26.3 New Design Expectations and Potential Research Directions 26.3.1 Enabling Technologies for Super-Sidelinks 26.3.2 Integration of Super-Sidelinks with Access Links as One Design References Summary of Part V Part VI New Features for 6G Network Architecture Design Introduction to Part VI 27 Technologies for the Network AI Architecture 27.1 Background 27.2 Design Considerations and Principles 27.2.1 Key Requirements 27.2.2 Gaps 27.3 Architectural Features 27.3.1 Overall Design Scope 27.3.2 Task-Oriented Communication 27.3.3 Deeply Converged Computing and Communication at Edges 27.3.4 AI Service Operations and Management References 28 User-Centric Architecture Technologies 28.1 Background 28.2 Design Considerations and Principles 28.2.1 Lessons Learned from Current Networks 28.2.2 Key Requirements 28.3 Architecture Features 28.3.1 Decentralized Architecture for User-Centric Design 28.3.2 Fusion of the Physical and Cyber Worlds 28.3.3 Digital Asset Management References 29 Native Trustworthiness 29.1 Background of Trustworthiness 29.1.1 From Philosophy to Society 29.1.2 From Society to Industry 29.2 Complex Communication Trustworthiness 29.3 Trustworthiness Design Rules 29.3.1 Principles 29.3.2 Objectives 29.4 Trustworthiness Technologies 29.4.1 Multi-Lateral Trust Model 29.4.2 Distributed Ledger Technology 29.4.3 Post Quantum Cryptography 29.4.4 Autonomous Security References 30 Data Governance Architecture Technologies 30.1 Background 30.2 Design Considerations and Principles 30.3 Architecture Features 30.3.1 Independent Data Plane 30.3.2 Data Governance Multi-Player Roles 30.3.3 Data Resource 30.3.4 Data Collection 30.3.5 Data Analytics 30.3.6 Data Desensitization References 31 Multi-Player Ecosystem Architecture Technologies 31.1 Background 31.2 Design Considerations and Principles 31.3 Architecture Features 31.3.1 Distributed Ledger Technology 31.3.2 Multi-Player Platform 31.3.3 Identity Management 31.3.4 Data Management 31.3.5 Network Control 31.3.6 Operation and Business Support References 32 Non-Terrestrial Network Integrated Architecture Technologies 32.1 Background 32.2 Design Considerations and Principles 32.2.1 Satellite Constellation 32.2.2 Low Latency at Global Scale 32.2.3 Connectivity Provisioning 32.2.4 Multi-Service Capability 32.3 Architecture Features 32.3.1 Latency 32.3.2 Connectivity Models 32.3.3 Routing in Space 32.3.4 Operations, Administration, and Maintenance References Summary of Part VI Part VII Summary and Future Work 33 6G Ecosystem and Roadmap 33.1 6G Initiatives and Ecosystem 33.1.1 ITU-R Initiatives 33.1.2 Regional Activities 33.1.3 Views from Industry and Academia 33.2 Roadmap to 2030 References Index
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