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This book focuses on the integration of self-evolving Digital Twins (DTs) with wireless networks, exploring critical methodologies for dynamic twin construction and real-time service interaction. It addresses challenges posed by wireless environments, which are paramount for maintaining high-fidelity virtual replicas of physical systems. The content provides a comprehensive outline for building and managing DTs that can continuously adapt over wireless networks.
The authors dedicated this book to innovative solutions for optimizing resource allocation and intelligent decision-making. It includes game-theoretic online optimization for federated DT construction and generative artificial intelligence-aided framework for quality-of-experience driven DT service interaction. Furthermore, it shows the practical implementation of these technologies through detailed applications in intelligent vehicular networks.
This book is appropriate for advanced-level students in computer science and electrical engineering, who are studying wireless communications, distributed systems, Internet of Things, and cyber-physical systems. Researchers and industry practitioners seeking to leverage DTs for innovation in smart manufacturing, intelligent transportation, and smart cities will find this book invaluable as well.
Table des matières
.- Introduction to Digital Twin over Wireless Networks.
.- Key Issues and Enabling Technologies for DT over Wireless Networks.
.- Federated Digital Twin Construction under Dynamic Evolution.
.- Quality-of-Experience Driven Digital Twin Service Interaction with
Uncertain Evolution.
.- Implementation of Digital Twin in Vehicular Network Applications.
.- Conclusions and Future Research Directions.
Résumé
This book focuses on the integration of self-evolving Digital Twins (DTs) with wireless networks, exploring critical methodologies for dynamic twin construction and real-time service interaction. It addresses challenges posed by wireless environments, which are paramount for maintaining high-fidelity virtual replicas of physical systems. The content provides a comprehensive outline for building and managing DTs that can continuously adapt over wireless networks.
The authors dedicated this book to innovative solutions for optimizing resource allocation and intelligent decision-making. It includes game-theoretic online optimization for federated DT construction and generative artificial intelligence-aided framework for quality-of-experience driven DT service interaction. Furthermore, it shows the practical implementation of these technologies through detailed applications in intelligent vehicular networks.
This book is appropriate for advanced-level students in computer science and electrical engineering, who are studying wireless communications, distributed systems, Internet of Things, and cyber-physical systems. Researchers and industry practitioners seeking to leverage DTs for innovation in smart manufacturing, intelligent transportation, and smart cities will find this book invaluable as well.
