Shaping Future 6G Networks. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Серия:
Жанр произведения: Отраслевые издания
Год издания: 0
isbn: 9781119765530
Скачать книгу
Internet Protocol Framework: Features and Capabilities 9.5 Flexible Addressing System Example 9.6 Conclusion References

      19  10 Computing in the Network: The Core‐Edge Continuum in 6G Network 10.1 Introduction 10.2 A Few Stops on the Road to Programmable Networks 10.3 Beyond Softwarization and Clouderization: The Computerization of Networks 10.4 Computing Everywhere: The Core‐Edge Continuum 10.5 Making it Real: Use Cases 10.6 Conclusion: 6G, the Network, and Computing Acknowledgments References

      20  11 An Approach to Automated Multi‐domain Service Production for Future 6G Networks 11.1 Introduction 11.2 Framework and Assumptions 11.3 Automating the Delivery of Multi‐domain Services 11.4 An Example: Dynamic Enforcement of Differentiated, Multi‐domain Service Traffic Forwarding Policies by Means of Service Function Chaining 11.5 Research Challenges 11.6 Conclusion References

      21  12 6G Access and Edge Computing – ICDT Deep Convergence 12.1 Introduction 12.2 True ICT Convergence: RAN Evolution to 5G 12.3 Deep ICDT Convergence Toward 6G 12.4 Ecosystem Progress from 5G to 6G 12.5 Conclusion Acknowledgments References

      22  13 “One Layer to Rule Them All”: Data Layer‐oriented 6G Networks 13.1 Perspective 13.2 Motivation 13.3 Requirements 13.4 Benefits/Opportunities 13.5 Data Layer High‐level Functionality 13.6 Instead of Conclusions References

      23  14 Long‐term Perspectives 14.1 Introduction 14.2 Why Machine Learning in Communication? 14.3 Machine Learning in Future Wireless Networks 14.4 The Soul of 6G will be Machine Learning 14.5 Conclusion References

      24  15 Managing the Unmanageable: How to Control Open and Distributed 6G Networks 15.1 Introduction 15.2 Managing Open and Distributed Radio Access Networks 15.3 Core Network and End‐to‐End Network Management 15.4 Trends in Machine Learning Suitable to Network Data and 6G 15.5 Conclusions References

      25  16 6G and the Post‐Shannon Theory 16.1 Introduction 16.2 Message Identification for Post‐Shannon Communication 16.3 Resources Considered Useless Become Relevant 16.4 Physical Layer Service Integration 16.5 Other Implementations of Post‐Shannon Communication 16.6 Conclusions: A Call to Academia and Standardization Bodies Acknowledgments References

      26  Index

      27  End User License Agreement

      List of Tables

      1 Chapter 2Table 2.1 6G use cases for the B2B market.

      2 Chapter 4Table 4.1 Energy consumption of a macro 4G and a macro 5G BS (the 4G LTE BS ...

      3 Chapter 6Table 6.1 Summary of key differences among RIS, phased array, and MIMO beamf...Table 6.2 Difference between RIS and active phased array power consumption.

      4 Chapter 8Table 8.1 Satellite parameters for system‐level calibration [4].

      5 Chapter 15Table 15.1 Contribution to federated learning in optimal communication.

      6 Chapter 16Table 16.1 Summary of message transmission and message identification.