6G Frontiers

6G Frontiers

Towards Future Wireless Systems

De Alwis, Chamitha; Pham, Quoc-Viet; Liyanage, Madhusanka

John Wiley & Sons Inc

11/2022

336

Dura

Inglês

9781119862345

15 a 20 dias

Descrição não disponível.
About the Authors xv

Preface xvii

Acknowledgments xxi

Acronyms xxiii

Part I Introduction 1

1 Evolution of Mobile Networks 3

1.1 Introduction 3

1.2 6G Mobile Communication Networks 5

1.2.1 6G as Envisioned Today 5

1.2.2 6G Development Timeline 6

2 Key Driving Trends Toward 6G 9

2.1 Introduction 9

2.2 Expansion of IoT toward IoE 11

2.3 Massive Availability of Small Data 12

2.4 Availability of Self-Sustaining Networks 13

2.5 Convergence of Communications, Computing, Control, Localization, and Sensing (3CLS) 14

2.6 Zero Energy IoT 15

2.7 Advancement of Communication Technologies 16

2.8 Gadget-Free Communication 17

2.9 Increasing Elderly Population 18

3 6G Requirements 21

3.1 6G Requirements/Vision 21

3.2 Further-Enhanced Mobile Broadband (FeMBB) 23

3.2.1 Enabling 6G Applications 23

3.2.2 Enabling 6G Technologies 23

3.3 Ultramassive, Machine-Type Communication 24

3.3.1 Enabling 6G Applications 24

3.3.2 Enabling 6G Technologies 24

3.4 Extremely Reliable Low Latency Communication 25

3.4.1 Enabling 6G Applications 25

3.4.2 Enabling 6G Technologies 26

3.5 Extremely Low Power Communication 26

3.5.1 Enabling 6G Applications 27

3.5.2 Enabling 6G Technologies 27

3.6 Long Distance and High Mobility Communication 27

3.6.1 Enabling 6G Applications 27

3.6.2 Enabling 6G Technologies 27

3.7 High Spectrum Efficiency 28

3.7.1 Enabling 6G Applications 28

3.7.2 Key Enabling 6G Technologies 29

3.8 High Area Traffic Capacity 29

3.8.1 Enabling 6G Applications 29

3.8.2 Enabling 6G Technologies 29

3.9 Mobile Broadband and Low Latency (MBBLL) 29

3.9.1 Enabling 6G Applications 30

3.9.2 Enabling 6G Technologies 30

3.10 Massive Broadband Machine-Type Communications 30

3.10.1 Enabling 6G Applications 31

3.10.2 Enabling 6G Technologies 31

3.11 Massive Low Latency Machine-type Communications (mLLMT) 31

3.11.1 Enabling 6G Applications 32

3.11.2 Enabling 6G Technologies 32

3.12 AI-Assistive Extreme Communications 32

3.12.1 Enabling 6G Applications 32

3.12.2 Enabling 6G Technologies 33

4 Key 6G Technologies 35

4.1 Radio Network Technologies 35

4.1.1 Beyond Sub-6 GHz toward THz Communication 35

4.1.2 Nonterrestrial Networks Toward 3D Networking 37

4.2 AI/ML/FL 39

4.3 DLT/Blockchain 42

4.4 Edge Computing 44

4.5 Quantum Communication 47

4.6 Other New Technologies 49

4.6.1 Visible Light Communications 49

4.6.2 Large Intelligent Surfaces 50

4.6.3 Compressive Sensing 50

4.6.4 Zero-touch Network and Service Management 51

4.6.5 Efficient Energy Transfer and Harvesting 52

Part II Architectural Directions 55

5 6G Architectural Visions 57

5.1 Evolution of Network Architecture 57

5.2 Intelligent Network of Subnetworks 58

5.3 A Greener Intelligent Network 60

5.4 Cybertwin-based Network Architecture 61

6 Zero-Touch Network and Service Management 63

6.1 Introduction 63

6.2 Need of Zero-Touch Network and Service Management 64

6.3 Overview of Zero Touch Network and Service Management 65

6.3.1 ZSM Architecture Principles 65

6.3.2 ZSM Architecture Requirements 66

6.3.2.1 Nonfunctional Requirements 66

6.3.2.2 Functional Requirements 66

6.3.2.3 Security Requirements 67

6.4 ZSM Reference Architecture 68

6.4.1 Components 68

6.4.1.1 Management Services 69

6.4.1.2 Management Functions 70

6.4.1.3 Management Domains 70

6.4.1.4 The E2E Service Management Domain 70

6.4.1.5 Integration Fabric 70

6.4.1.6 Data Services 70

6.4.2 ZSM Interfaces 70

6.4.2.1 Domain Data Collection 70

6.4.2.2 Domain Analytics 71

6.4.2.3 Domain Intelligence 71

6.4.2.4 Domain Orchestration 71

6.4.2.5 Domain Control 71

6.4.2.6 E2E Data Collection 71

6.4.2.7 E2E Analytics 71

6.4.2.8 E2E Intelligence 72

6.4.2.9 E2E Orchestration 72

6.5 Importance of ZSM for 5G and Beyond 72

7 Edge AI 73

7.1 Introduction 73

7.2 Benefits of Edge AI 75

7.3 Why Edge AI Is Important? 76

7.4 Building Blocks for Edge AI 77

7.4.1 Edge Computing 77

7.4.2 Support for Advanced Edge Analytics 78

7.4.3 Edge Inference and Edge Training 80

7.5 Architectures for Edge AI networks 81

7.5.1 End-to-End Architecture for Edge AI 81

7.5.2 Decentralized Edge Intelligence 81

7.6 Level of Edge AI 83

7.7 Future Cloud Computing Perspective 85

7.7.1 Resource Management 85

7.7.2 Energy and Operational Constraints 86

7.7.3 Security, Trust, and Privacy 86

7.7.4 Intermittent Connectivity 87

7.8 Role of Edge AI in 6G 88

7.8.1 Communication and Computation with Human-in-the-Loop 88

7.8.2 Critical but Conflicting Actors and Applications 89

7.8.3 Edge AI and Emerging Technologies 89

7.8.4 Technology Meets Business 90

Acknowledgment 91

8 Intelligent Network Softwarization 93

8.1 Network Softwarization 93

8.2 Intelligent Network Softwarization 95

8.2.1 Service Function Chaining 95

8.2.2 Programmable Data Planes 96

8.2.3 In-Network Computing 97

9 6G Radio Access Networks 99

9.1 Key Aspects and Requirements 99

9.1.1 Flexibility 100

9.1.2 Massive Interconnectivity 101

9.1.3 Energy Efficiency 102

9.2 Aerial Radio Access Networks 103

9.3 AI-enabled RAN 108

9.4 Open RAN 112

Part III Technical Aspects 115

10 Security and Privacy of 6G 117

10.1 Introduction 117

10.2 Evolution of Mobile Security 118

10.3 6G Security Requirements 119

10.3.1 6G Security Vision and KPIs 119

10.4 Security Threat Landscape for 6G Architecture 121

10.4.1 Intelligence Radio and RAN-Core Convergence 123

10.4.2 Edge Intelligence and Cloudification of 6G Era 124

10.4.3 Specialized 6G Networks 125

10.4.4 Intelligence Network Management and Orchestration 125

10.4.5 Consumer End (Terminals and Users) 128

10.5 Security Challenges with 6G Applications 129

10.5.1 UAV-based Mobility 130

10.5.2 Holographic Telepresence 130

10.5.3 Extended Reality 131

10.5.4 Connected Autonomous Vehicles (CAV) 131

10.5.5 Smart Grid 2.0 132

10.5.6 Industry 5.0 133

10.5.7 Digital Twin 133

10.6 Security Impact on New 6G Technologies 134

10.6.1 Distributed Ledger Technology (DLT) 134

10.6.1.1 Threat Landscape 135

10.6.1.2 Possible Solutions 137

10.6.2 Quantum Computing 138

10.6.2.1 Threat Landscape 138

10.6.2.2 Possible Solutions 139

10.6.3 Distributed and Scalable AI/ML 140

10.6.3.1 Threat Landscape 141

10.6.3.2 Possible Solutions 142

10.6.4 Physical-Layer Security 142

10.6.4.1 TeraHertz Technology 142

10.6.4.2 Threat Landscape 143

10.6.4.3 Possible Solutions 143

10.6.4.4 Visible Light Communication Technology 144

10.6.4.5 Threat Landscape 144

10.6.4.6 Possible Solutions 144

10.6.4.7 Reconfigurable Intelligent Surface 145

10.6.4.8 Threat Landscape 145

10.6.4.9 Possible Solutions 145

10.6.4.10 Molecular Communication (MC) 145

10.6.4.11 Threat Landscape 145

10.6.4.12 Possible Solutions 146

10.7 Privacy 146

11 Resource Efficient Networks 151

11.1 Energy-Efficient 6G Network Management 152

11.2 Energy-efficient Security 156

11.3 Efficient Resource Management 158

Acknowledgement 161

12 Harmonized Mobile Networks and Extreme Global Network Coverage 163

12.1 Harmonized Mobile Networks 163

12.2 Extreme Global Network Coverage 171

12.3 Limitations and Challenges 178

13 Legal Aspects and Standardization of 6G Networks 181

13.1 Legal Aspects 181

13.1.1 Recent Developments of Legal Frameworks 182

13.2 6G Standardization Efforts 183

13.2.1 European Telecommunications Standards Institute 183

13.2.2 Next Generation Mobile Networks (NGMN) Alliance 185

13.2.3 Alliance for Telecommunications Industry Solutions (ATIS) 185

13.2.4 Next G Alliance 185

13.2.5 5G Automotive Association 186

13.2.6 Association of Radio Industries and Businesses (ARIB) 186

13.2.7 5G Alliance for Connected Industries and Automation (5G-ACIA) 186

13.2.8 Third-Generation Partnership Project (3GPP) 186

13.2.9 International Telecommunication Union-Telecommunication (ITU-T) 187

13.2.10 Institute of Electrical and Electronics Engineers 187

13.2.11 Other SDOs 187

13.2.11.1 Inter-American Telecommunication Commission (CITEL) 187

13.2.11.2 Canadian Communication Systems Alliance (CCSA) 187

13.2.11.3 Telecommunications Standards Development Society, India (TSDSI) 188

13.2.11.4 Telecommunications Technology Association (TTA) 188

13.2.11.5 Telecommunication Technology Committee (TTC) 188

Part IV Applications 189

14 6G for Healthcare 191

14.1 Evolution of Telehealth 191

14.2 Toward Intelligent Healthcare with 6G 192

14.3 Personalized Body Area Networks 193

14.4 XR for Healthcare Applications 194

14.5 Role of Blockchain in Medical Applications 195

14.6 Security and Privacy Aspects of 6G Healthcare Applications 196

15 Smart Cities and Society 5.0 197

15.1 Preliminaries of Smart Cities 197

15.2 6G for Smart Citizen 199

15.3 6G for Smart Transportation 201

15.4 6G for Smart Grid 204

15.5 6G for Supply Chain Management 207

15.6 6G for Other Smart Scenarios 209

Acknowledgement 210

16 Industrial Automation 211

16.1 Introduction 211

16.1.1.1 Motivations Behind the Evolution of Industry 5.0 212

16.2 Background of Industry 5.0 214

16.2.1 Definitions 215

16.2.2 Additional Features of Industry 5.0 216

16.2.2.1 Smart Additive Manufacturing 216

16.2.2.2 Predictive Maintenance 216

16.2.2.3 Hyper-Customization 217

16.2.2.4 Cyber Physical Cognitive Systems 218

16.3 Applications in Industry 5.0 218

16.3.1 Cloud Manufacturing 218

16.3.2 Digital Twins 220

16.3.3 Cobots (Collaborative Robots) 220

16.3.4 Supply Chain Management 221

16.3.5 Manufacturing/Production 222

16.4 Role of 6G in Industry 5.0 223

16.4.1 Internet of Everything 224

16.4.1.1 Big Data Analytics 224

16.4.1.2 Blockchain 225

16.4.2 Edge Computing 225

16.4.2.1 Other Enabling Technologies 226

17 Wild Applications 229

17.1 Introduction 229

17.2 Metaverse 229

17.3 Deep-Sea Explorations 231

17.4 Space Tourism 232

Acknowledgement 235

Part V Conclusion 237

18 Conclusion 239

Bibliography 241

Index 293
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6g; 6g research; 6g technology; 6g requirements; 6g standards; 6g applications; 6g trends; 6g use cases; 6g framework; hyper-intelligent networking; harmonized mobile networks; 6g legal; Further enhanced Mobile Broadband; FeMBB; ultra-massive Machine-Type Communication; umMTC; Mobile BroadBand and Low-Latency; MBBLL; massive Low-Latency Machine Type communication; mLLMT; zero-touch network and service management; intent-based networking; edge AI; intelligent network softwarization; radio access networks