{"product_id":"shaping-future-6g-networks-9781119765516","title":"Shaping Future 6g Networks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eEditor Biographies xiii\u003c\/p\u003e \u003cp\u003eList of Contributors xv\u003c\/p\u003e \u003cp\u003eForeword Henning Schulzrinne xix\u003c\/p\u003e \u003cp\u003eForeword Peter Stuckmann xxi\u003c\/p\u003e \u003cp\u003eForeword Akihiro Nakao xxiii\u003c\/p\u003e \u003cp\u003eAcronyms xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 Toward 6G – Collecting the Research Visions \u003c\/b\u003e\u003cb\u003e1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eEmmanuel Bertin, Thomas Magedanz, and Noel Crespi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Time to Start Shaping 6G 1\u003c\/p\u003e \u003cp\u003e1.2 Early Directions for Shaping 6G 2\u003c\/p\u003e \u003cp\u003e1.2.1 Future Services 2\u003c\/p\u003e \u003cp\u003e1.2.2 Moving from 5G to 6G 2\u003c\/p\u003e \u003cp\u003e1.2.3 Renewed Value Chain and Collaborations 3\u003c\/p\u003e \u003cp\u003e1.3 Book Outline and Main Topics 4\u003c\/p\u003e \u003cp\u003e1.3.1 Use Cases and Requirements for 6G 4\u003c\/p\u003e \u003cp\u003e1.3.2 Standardization Processes for 6G 4\u003c\/p\u003e \u003cp\u003e1.3.3 Energy Consumption and Social Acceptance 4\u003c\/p\u003e \u003cp\u003e1.3.4 New Technologies for Radio Access 5\u003c\/p\u003e \u003cp\u003e1.3.5 New Technologies for Network Infrastructure 5\u003c\/p\u003e \u003cp\u003e1.3.6 New Perspectives for Network Architectures 6\u003c\/p\u003e \u003cp\u003e1.3.7 New Technologies for Network Management and Operation 7\u003c\/p\u003e \u003cp\u003e1.3.8 Post-Shannon Perspectives 8\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 6G Drivers for B2B Market: E2E Services and Use Cases \u003c\/b\u003e\u003cb\u003e9\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMarco Giordani, Michele Polese, Andres Laya, Emmanuel Bertin, and Michele Zorzi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 9\u003c\/p\u003e \u003cp\u003e2.2 Relevance of the B2B market for 6G 10\u003c\/p\u003e \u003cp\u003e2.3 Use Cases for the B2B Market 11\u003c\/p\u003e \u003cp\u003e2.3.1 Industry and Manufacturing 11\u003c\/p\u003e \u003cp\u003e2.3.2 Teleportation 13\u003c\/p\u003e \u003cp\u003e2.3.3 Digital Twin 15\u003c\/p\u003e \u003cp\u003e2.3.4 Smart Transportation 15\u003c\/p\u003e \u003cp\u003e2.3.5 Public Safety 16\u003c\/p\u003e \u003cp\u003e2.3.6 Health and Well-being 17\u003c\/p\u003e \u003cp\u003e2.3.7 Smart-X IoT 19\u003c\/p\u003e \u003cp\u003e2.3.8 Financial World 20\u003c\/p\u003e \u003cp\u003e2.4 Conclusions 22\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 6G: The Path Toward Standardization \u003c\/b\u003e\u003cb\u003e23\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGuy Redmill and Emmanuel Bertin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 23\u003c\/p\u003e \u003cp\u003e3.2 Standardization: A Long-Term View 24\u003c\/p\u003e \u003cp\u003e3.3 IMTs Have Driven Multiple Approaches to Previous Mobile Generations 25\u003c\/p\u003e \u003cp\u003e3.4 Stakeholder Ecosystem Fragmentation and Explosion 26\u003c\/p\u003e \u003cp\u003e3.5 Shifting Sands: Will Politics Influence Future Standardization Activities? 28\u003c\/p\u003e \u003cp\u003e3.6 Standards, the Supply Chain, and the Emergence of Open Models 30\u003c\/p\u003e \u003cp\u003e3.7 New Operating Models 32\u003c\/p\u003e \u003cp\u003e3.8 Research – What Is the Industry Saying? 33\u003c\/p\u003e \u003cp\u003e3.9 Can We Define and Deliver a New Generation of Standards by 2030? 34\u003c\/p\u003e \u003cp\u003e3.10 Conclusion 34\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Greening 6G: New Horizons \u003c\/b\u003e\u003cb\u003e39\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eZhisheng Niu, Sheng Zhou, and Noel Crespi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 39\u003c\/p\u003e \u003cp\u003e4.2 Energy Spreadsheet of 6G Network and Its Energy Model 40\u003c\/p\u003e \u003cp\u003e4.2.1 Radio Access Network Energy Consumption Model 40\u003c\/p\u003e \u003cp\u003e4.2.2 Edge Computing and Learning: Energy Consumption Models and Their Impacts 41\u003c\/p\u003e \u003cp\u003e4.2.2.1 Energy Consumption Models in Edge Computing 41\u003c\/p\u003e \u003cp\u003e4.2.2.2 Energy Consumption Models in Edge Learning 41\u003c\/p\u003e \u003cp\u003e4.3 Greening 6G Radio Access Networks 42\u003c\/p\u003e \u003cp\u003e4.3.1 Energy-Efficient Network Planning 42\u003c\/p\u003e \u003cp\u003e4.3.1.1 BS Deployment Densification with Directional Transmissions 42\u003c\/p\u003e \u003cp\u003e4.3.1.2 Network with Reconfigurable Intelligent Surfaces (RISs) 43\u003c\/p\u003e \u003cp\u003e4.3.2 Energy-Efficient Radio Resource Management 44\u003c\/p\u003e \u003cp\u003e4.3.2.1 Model-free 44\u003c\/p\u003e \u003cp\u003e4.3.2.2 Less Computation Complexity 44\u003c\/p\u003e \u003cp\u003e4.3.3 Energy-Efficient Service Provisioning with NFV and SFC 46\u003c\/p\u003e \u003cp\u003e4.3.3.1 VNF Consolidation 47\u003c\/p\u003e \u003cp\u003e4.3.3.2 Exploiting Renewable Energy 47\u003c\/p\u003e \u003cp\u003e4.4 Greening Artificial Intelligence (AI) in 6G Network 47\u003c\/p\u003e \u003cp\u003e4.4.1 Energy-Efficient Edge Training 48\u003c\/p\u003e \u003cp\u003e4.4.2 Distributed Edge Co-inference and the Energy Trade-off 49\u003c\/p\u003e \u003cp\u003e4.5 Conclusions 50\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 “Your 6G or Your Life”: How Can Another G Be Sustainable? \u003c\/b\u003e\u003cb\u003e55\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eIsabelle Dabadie, Marc Vautier, and Emmanuel Bertin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 55\u003c\/p\u003e \u003cp\u003e5.2 A World in Crisis 56\u003c\/p\u003e \u003cp\u003e5.2.1 Ecological Crisis 56\u003c\/p\u003e \u003cp\u003e5.2.2 Energy Crises 57\u003c\/p\u003e \u003cp\u003e5.2.3 Technological Innovation and Rebound Effect: A Dead End? 57\u003c\/p\u003e \u003cp\u003e5.3 A Dilemma for Service Operators 59\u003c\/p\u003e \u003cp\u003e5.3.1 Incentives to Reduce Consumption: Shooting Ourselves in the Foot? 59\u003c\/p\u003e \u003cp\u003e5.3.2 Incentives to Reduce Overconsumption: Practical Solutions 60\u003c\/p\u003e \u003cp\u003e5.3.3 Opportunities. . . and Risks 61\u003c\/p\u003e \u003cp\u003e5.4 A Necessary Paradigm Shift 62\u003c\/p\u003e \u003cp\u003e5.4.1 The Status Quo Is Risky, Too 62\u003c\/p\u003e \u003cp\u003e5.4.2 Creating Value with 6G in the New Paradigm 63\u003c\/p\u003e \u003cp\u003e5.4.3 Empowering Consumers to Achieve the “2T CO\u003csub\u003e2\u003c\/sub\u003e\/Year\/Person” Objective 64\u003c\/p\u003e \u003cp\u003e5.5 Summary and Prospects 64\u003c\/p\u003e \u003cp\u003e5.5.1 Two Drivers, Three Levels of Action 64\u003c\/p\u003e \u003cp\u003e5.5.2 Which Regulation for Future Use of Technologies? 65\u003c\/p\u003e \u003cp\u003e5.5.3 Hopes and Prospects for a Sustainable 6G 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Catching the 6G Wave by Using Metamaterials: A Reconfigurable Intelligent Surface Paradigm \u003c\/b\u003e\u003cb\u003e69\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMarco Di Renzo and Alexis I. Aravanis\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces 69\u003c\/p\u003e \u003cp\u003e6.1.1 Reconfigurable Intelligent Surfaces 70\u003c\/p\u003e \u003cp\u003e6.2 Types of RISs, Advantages, and Limitations 72\u003c\/p\u003e \u003cp\u003e6.2.1 Advantages and Limitations 74\u003c\/p\u003e \u003cp\u003e6.3 Experimental Activities 78\u003c\/p\u003e \u003cp\u003e6.3.1 Large Arrays of Inexpensive Antennas 78\u003c\/p\u003e \u003cp\u003e6.3.1.1 RFocus 78\u003c\/p\u003e \u003cp\u003e6.3.1.2 The ScatterMIMO Prototype 79\u003c\/p\u003e \u003cp\u003e6.3.2 Metasurface Approaches 80\u003c\/p\u003e \u003cp\u003e6.4 RIS Research Areas and Challenges in the 6G Ecosystem 82\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Potential of THz Broadband Systems for Joint Communication, Radar, and Sensing Applications in 6G \u003c\/b\u003e\u003cb\u003e89\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eRobert Müller and Markus Landmann\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Non-Terrestrial Networks in 6G \u003c\/b\u003e\u003cb\u003e101\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eThomas Heyn, Alexander Hofmann, Sahana Raghunandan, and Leszek Raschkowski\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 101\u003c\/p\u003e \u003cp\u003e8.2 Non-Terrestrial Networks in 5G 101\u003c\/p\u003e \u003cp\u003e8.3 Innovations in Telecom Satellites 103\u003c\/p\u003e \u003cp\u003e8.4 Extended Non-Terrestrial Networks in 6G 105\u003c\/p\u003e \u003cp\u003e8.4.1 Motivation 105\u003c\/p\u003e \u003cp\u003e8.4.2 Heterogeneous and Dynamic Networks in 6G 107\u003c\/p\u003e \u003cp\u003e8.5 Research Challenges Toward 6G-NTN 107\u003c\/p\u003e \u003cp\u003e8.5.1 Heterogeneous Non-Terrestrial 6G Networks 109\u003c\/p\u003e \u003cp\u003e8.5.2 Required RAN Architecture in 6G to Support NTN 109\u003c\/p\u003e \u003cp\u003e8.5.3 Coexistence and Spectrum Sharing 110\u003c\/p\u003e \u003cp\u003e8.5.3.1 Regulatory Aspects 111\u003c\/p\u003e \u003cp\u003e8.5.3.2 Techniques for Coexistence 111\u003c\/p\u003e \u003cp\u003e8.5.4 Energy-Efficient Waveforms 112\u003c\/p\u003e \u003cp\u003e8.5.5 Scalable RF Carrier Bandwidth 113\u003c\/p\u003e \u003cp\u003e8.6 Conclusion 114\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Rethinking the IP Framework \u003c\/b\u003e\u003cb\u003e117\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eDavid Zhe Luo and Noel Crespi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 117\u003c\/p\u003e \u003cp\u003e9.2 Emerging Applications and Network Requirements 118\u003c\/p\u003e \u003cp\u003e9.3 State of the Art 120\u003c\/p\u003e \u003cp\u003e9.4 Next-Generation Internet Protocol Framework: Features and Capabilities 122\u003c\/p\u003e \u003cp\u003e9.4.1 High-Precision and Deterministic Services 122\u003c\/p\u003e \u003cp\u003e9.4.2 Semantic and Flexible Addressing 124\u003c\/p\u003e \u003cp\u003e9.4.3 ManyNets Support 125\u003c\/p\u003e \u003cp\u003e9.4.4 Intrinsic Security and Privacy 126\u003c\/p\u003e \u003cp\u003e9.4.5 High Throughput 126\u003c\/p\u003e \u003cp\u003e9.4.6 User-Defined Network Operations 127\u003c\/p\u003e \u003cp\u003e9.5 Flexible Addressing System Example 127\u003c\/p\u003e \u003cp\u003e9.6 Conclusion 129\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Computing in the Network: The Core-Edge Continuum in 6G Network \u003c\/b\u003e\u003cb\u003e133\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMarie-José Montpetit and Noel Crespi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 133\u003c\/p\u003e \u003cp\u003e10.2 A Few Stops on the Road to Programmable Networks 134\u003c\/p\u003e \u003cp\u003e10.2.1 Active Networks 134\u003c\/p\u003e \u003cp\u003e10.2.2 Information-centric Networking 135\u003c\/p\u003e \u003cp\u003e10.2.3 Compute-first Networking 135\u003c\/p\u003e \u003cp\u003e10.2.4 Software-defined Networking 136\u003c\/p\u003e \u003cp\u003e10.3 Beyond Softwarization and Clouderization: The Computerization of Networks 137\u003c\/p\u003e \u003cp\u003e10.3.1 A New End-to-End Paradigm 137\u003c\/p\u003e \u003cp\u003e10.3.2 Computing in the Network Basic Concepts 138\u003c\/p\u003e \u003cp\u003e10.3.3 Related Impacts 140\u003c\/p\u003e \u003cp\u003e10.3.3.1 The Need for Resource Discovery 140\u003c\/p\u003e \u003cp\u003e10.3.3.2 Power Savings for Eco-conscious Networking 141\u003c\/p\u003e \u003cp\u003e10.3.3.3 Transport is Still Needed! 141\u003c\/p\u003e \u003cp\u003e10.3.3.4 How About Security? 141\u003c\/p\u003e \u003cp\u003e10.4 Computing Everywhere: The Core-Edge Continuum 143\u003c\/p\u003e \u003cp\u003e10.4.1 A Common Data Layer 143\u003c\/p\u003e \u003cp\u003e10.4.2 The New Programmable Data Plane 145\u003c\/p\u003e \u003cp\u003e10.4.3 Novel Architectures Using Computing in the Network 147\u003c\/p\u003e \u003cp\u003e10.4.3.1 The Newest and Boldest: Quantum Networking 148\u003c\/p\u003e \u003cp\u003e10.4.3.2 Creating the Tactile and the Automated Internet: FlexNGIA 148\u003c\/p\u003e \u003cp\u003e10.5 Making it Real: Use Cases 149\u003c\/p\u003e \u003cp\u003e10.5.1 Computing in the Data Center 150\u003c\/p\u003e \u003cp\u003e10.5.1.1 Data and Flow Aggregation 150\u003c\/p\u003e \u003cp\u003e10.5.1.2 Key-value Storage and In-network Caching 151\u003c\/p\u003e \u003cp\u003e10.5.1.3 Consensus 151\u003c\/p\u003e \u003cp\u003e10.5.2 Next-generation IoT and Intelligence Everywhere 152\u003c\/p\u003e \u003cp\u003e10.5.2.1 The Internet of Intelligent Things 152\u003c\/p\u003e \u003cp\u003e10.5.2.2 Industrial Automation: From Factories to Farms 153\u003c\/p\u003e \u003cp\u003e10.5.3 Computing Support for Networked Multimedia 154\u003c\/p\u003e \u003cp\u003e10.5.3.1 Video Analytics 154\u003c\/p\u003e \u003cp\u003e10.5.3.2 Extended Reality and Multimedia 154\u003c\/p\u003e \u003cp\u003e10.5.4 Melding AI and Computing for Measuring and Managing the Network 155\u003c\/p\u003e \u003cp\u003e10.5.4.1 Telemetry 155\u003c\/p\u003e \u003cp\u003e10.5.4.2 AI\/ML for Network Management 156\u003c\/p\u003e \u003cp\u003e10.5.5 Network Coding 157\u003c\/p\u003e \u003cp\u003e10.6 Conclusion: 6G, the Network, and Computing 158\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 An Approach to Automated Multi-domain Service Production for Future 6G Networks \u003c\/b\u003e\u003cb\u003e167\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMohamed Boucadair, Christian Jacquenet, and Emmanuel Bertin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 167\u003c\/p\u003e \u003cp\u003e11.1.1 Background 167\u003c\/p\u003e \u003cp\u003e11.1.2 The Need for Multi-domain 6G Networks 168\u003c\/p\u003e \u003cp\u003e11.1.3 Challenges of Multi-domain Service Production and Operation 169\u003c\/p\u003e \u003cp\u003e11.2 Framework and Assumptions 170\u003c\/p\u003e \u003cp\u003e11.2.1 Terminology 170\u003c\/p\u003e \u003cp\u003e11.2.2 Assumptions 171\u003c\/p\u003e \u003cp\u003e11.2.2.1 SDN-enabled Domains 171\u003c\/p\u003e \u003cp\u003e11.2.2.2 On-service Orchestrators 172\u003c\/p\u003e \u003cp\u003e11.2.2.3 Any Kind of Multi-domain Service, Whatever the Vertical 172\u003c\/p\u003e \u003cp\u003e11.2.3 Roles 173\u003c\/p\u003e \u003cp\u003e11.2.4 Possible Multi-domain Service Delivery Frameworks 174\u003c\/p\u003e \u003cp\u003e11.2.4.1 A Set of Bilateral Agreements 174\u003c\/p\u003e \u003cp\u003e11.2.4.2 A Set of Bilateral Agreements by Means of a Marketplace 174\u003c\/p\u003e \u003cp\u003e11.2.4.3 A Set of Bilateral Agreements by Means of a Broker 175\u003c\/p\u003e \u003cp\u003e11.3 Automating the Delivery of Multi-domain Services 175\u003c\/p\u003e \u003cp\u003e11.3.1 General Considerations 175\u003c\/p\u003e \u003cp\u003e11.3.2 Discovering Partnering Domains and Communicating with Partnering SDN Controllers 176\u003c\/p\u003e \u003cp\u003e11.3.3 Multi-domain Service Subscription Framework 178\u003c\/p\u003e \u003cp\u003e11.3.4 Multi-domain Service Delivery Procedure 179\u003c\/p\u003e \u003cp\u003e11.4 An Example: Dynamic Enforcement of Differentiated, Multi-domainService Traffic Forwarding Policies by Means of Service Function Chaining 181\u003c\/p\u003e \u003cp\u003e11.4.1 SFC Control Plane 181\u003c\/p\u003e \u003cp\u003e11.4.2 Consistency of Operation 182\u003c\/p\u003e \u003cp\u003e11.4.3 Design Considerations 182\u003c\/p\u003e \u003cp\u003e11.5 Research Challenges 183\u003c\/p\u003e \u003cp\u003e11.5.1 Security of Operations 184\u003c\/p\u003e \u003cp\u003e11.5.2 Consistency of Decisions 184\u003c\/p\u003e \u003cp\u003e11.5.3 Consistency of Data 184\u003c\/p\u003e \u003cp\u003e11.5.4 Performance and Scalability 185\u003c\/p\u003e \u003cp\u003e11.6 Conclusion 185\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 6G Access and Edge Computing – ICDT Deep Convergence \u003c\/b\u003e\u003cb\u003e187\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eChih-Lin I, Jinri Huang, and Noel Crespi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 187\u003c\/p\u003e \u003cp\u003e12.2 True ICT Convergence: RAN Evolution to 5G 187\u003c\/p\u003e \u003cp\u003e12.2.1 C-RAN: Centralized, Cooperative, Cloud, and Clean 190\u003c\/p\u003e \u003cp\u003e12.2.1.1 NGFI: From Backhaul to xHaul 191\u003c\/p\u003e \u003cp\u003e12.2.1.2 From Cloud to Fog 194\u003c\/p\u003e \u003cp\u003e12.2.2 A Turbocharged Edge: MEC 195\u003c\/p\u003e \u003cp\u003e12.2.3 Virtualization and Cloud Computing 197\u003c\/p\u003e \u003cp\u003e12.3 Deep ICDT Convergence Toward 6G 198\u003c\/p\u003e \u003cp\u003e12.3.1 Open and Smart: Two Major Trends Since 5G 198\u003c\/p\u003e \u003cp\u003e12.3.1.1 RAN Intelligence – Enabled with Wireless Big Data 199\u003c\/p\u003e \u003cp\u003e12.3.1.2 OpenRAN 202\u003c\/p\u003e \u003cp\u003e12.3.1.3 Scope of RAN Intelligence Use Cases 205\u003c\/p\u003e \u003cp\u003e12.3.2 An OpenRAN Architecture with Native AI: RAN Intelligent Controller (RIC) 208\u003c\/p\u003e \u003cp\u003e12.3.2.1 NRT-RIC Functions 209\u003c\/p\u003e \u003cp\u003e12.3.2.2 nRT-RIC Functions 211\u003c\/p\u003e \u003cp\u003e12.3.3 Key Challenges and Potential Solutions 212\u003c\/p\u003e \u003cp\u003e12.3.3.1 Customized Data Collection and Control 212\u003c\/p\u003e \u003cp\u003e12.3.3.2 Radio Resource Management and Air Interface Protocol Processing Decoupling 213\u003c\/p\u003e \u003cp\u003e12.3.3.3 Open API for xApp 214\u003c\/p\u003e \u003cp\u003e12.4 Ecosystem Progress from 5G to 6G 214\u003c\/p\u003e \u003cp\u003e12.4.1 O-RAN Alliance 214\u003c\/p\u003e \u003cp\u003e12.4.2 Telecom Infrastructure Project 215\u003c\/p\u003e \u003cp\u003e12.4.3 GSMA Open Networking Initiative 216\u003c\/p\u003e \u003cp\u003e12.4.4 Open-source Communities 216\u003c\/p\u003e \u003cp\u003e12.5 Conclusion 217\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 “One Layer to Rule Them All”: Data Layer-oriented 6G Networks \u003c\/b\u003e\u003cb\u003e221\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eMarius Corici and Thomas Magedanz\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Perspective 221\u003c\/p\u003e \u003cp\u003e13.2 Motivation 222\u003c\/p\u003e \u003cp\u003e13.3 Requirements 223\u003c\/p\u003e \u003cp\u003e13.4 Benefits\/Opportunities 225\u003c\/p\u003e \u003cp\u003e13.5 Data Layer High-level Functionality 227\u003c\/p\u003e \u003cp\u003e13.6 Instead of Conclusions 231\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Long-term Perspectives: Machine Learning for Future Wireless Networks \u003c\/b\u003e\u003cb\u003e235\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eSławomir Stan\u003c\/i\u003e\u003ci\u003éczak, Alexander Keller, Renato L.G. Cavalcante, Nikolaus Binder, and Soma Velayutham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 235\u003c\/p\u003e \u003cp\u003e14.2 Why Machine Learning in Communication? 236\u003c\/p\u003e \u003cp\u003e14.2.1 Machine Learning in a Nutshell 237\u003c\/p\u003e \u003cp\u003e14.2.1.1 Kernel-based Learning with Projections 237\u003c\/p\u003e \u003cp\u003e14.2.1.2 Deep Learning 238\u003c\/p\u003e \u003cp\u003e14.2.1.3 Reinforcement Learning 241\u003c\/p\u003e \u003cp\u003e14.2.2 Choosing the Right Tool for the Job 242\u003c\/p\u003e \u003cp\u003e14.3 Machine Learning in Future Wireless Networks 243\u003c\/p\u003e \u003cp\u003e14.3.1 Robust Traffic Prediction for Energy-saving Optimization 244\u003c\/p\u003e \u003cp\u003e14.3.2 Fingerprinting-based Localization 244\u003c\/p\u003e \u003cp\u003e14.3.3 Joint Power and Beam Optimization 245\u003c\/p\u003e \u003cp\u003e14.3.4 Collaborative Compressive Classification 245\u003c\/p\u003e \u003cp\u003e14.3.5 Designing Neural Architectures for Sparse Estimation 247\u003c\/p\u003e \u003cp\u003e14.3.6 Online Loss Map Reconstruction 248\u003c\/p\u003e \u003cp\u003e14.3.7 Learning Non-Orthogonal Multiple Access and Beamforming 248\u003c\/p\u003e \u003cp\u003e14.3.8 Simulating Radiative Transfer 250\u003c\/p\u003e \u003cp\u003e14.4 The Soul of 6G will be Machine Learning 251\u003c\/p\u003e \u003cp\u003e14.5 Conclusion 252\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Managing the Unmanageable: How to Control Open and Distributed 6G Networks \u003c\/b\u003e\u003cb\u003e255\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eImen Grida Ben Yahia, Zwi Altman, Joanna Balcerzak, Yosra Ben Slimen, and Emmanuel Bertin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 255\u003c\/p\u003e \u003cp\u003e15.2 Managing Open and Distributed Radio Access Networks 256\u003c\/p\u003e \u003cp\u003e15.2.1 Radio Access Network 256\u003c\/p\u003e \u003cp\u003e15.2.2 Innovation in the Standardization Arena 258\u003c\/p\u003e \u003cp\u003e15.2.2.1 RAN 258\u003c\/p\u003e \u003cp\u003e15.3 Core Network and End-to- End Network Management 260\u003c\/p\u003e \u003cp\u003e15.3.1 Network Architecture and Management 260\u003c\/p\u003e \u003cp\u003e15.3.2 Changes in Architecture and Network Management from Standardization Perspective 262\u003c\/p\u003e \u003cp\u003e15.3.3 Quality of Service and Experience 263\u003c\/p\u003e \u003cp\u003e15.3.4 Standardization Effort in Data Analytics 264\u003c\/p\u003e \u003cp\u003e15.4 Trends in Machine Learning Suitable to Network Data and 6G 265\u003c\/p\u003e \u003cp\u003e15.4.1 Federated Learning 265\u003c\/p\u003e \u003cp\u003e15.4.2 Auto-Labeling Techniques and Network Actuations 266\u003c\/p\u003e \u003cp\u003e15.5 Conclusions 268\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 6G and the Post-Shannon Theory \u003c\/b\u003e\u003cb\u003e271\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eJuan A. Cabrera, Holger Boche, Christian Deppe, Rafael F. Schaefer, Christian Scheunert, and Frank H. P. Fitzek\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 271\u003c\/p\u003e \u003cp\u003e16.2 Message Identification for Post-Shannon Communication 273\u003c\/p\u003e \u003cp\u003e16.2.1 Explicit Construction of RI Codes 277\u003c\/p\u003e \u003cp\u003e16.2.2 Secrecy for Free 279\u003c\/p\u003e \u003cp\u003e16.2.3 Message Identification Without Randomness 280\u003c\/p\u003e \u003cp\u003e16.3 Resources Considered Useless Become Relevant 281\u003c\/p\u003e \u003cp\u003e16.3.1 Common Randomness for Nonsecure Communication 281\u003c\/p\u003e \u003cp\u003e16.3.2 Feedback in Identification and the Additivity of Bundled Channels 282\u003c\/p\u003e \u003cp\u003e16.4 Physical Layer Service Integration 283\u003c\/p\u003e \u003cp\u003e16.4.1 Motivation and Requirements 283\u003c\/p\u003e \u003cp\u003e16.4.2 Detectability of Denial-of-Service Attacks 284\u003c\/p\u003e \u003cp\u003e16.4.3 Further Limits for Computer-Aided Approaches 288\u003c\/p\u003e \u003cp\u003e16.5 Other Implementations of Post-Shannon Communication 288\u003c\/p\u003e \u003cp\u003e16.5.1 Post-Shannon in Multi-Code CDMA 288\u003c\/p\u003e \u003cp\u003e16.5.2 Waveform Coding in MIMO Systems 289\u003c\/p\u003e \u003cp\u003e16.6 Conclusions: A Call to Academia and Standardization Bodies 290\u003c\/p\u003e \u003cp\u003eIndex 295\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407145312599,"sku":"9781119765516","price":104.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119765516.jpg?v=1730498327","url":"https:\/\/bookcurl.com\/products\/shaping-future-6g-networks-9781119765516","provider":"Book Curl","version":"1.0","type":"link"}