Self-Evolving Digital Twin Over Wireless Networks

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.

Bridges the gap between Digital Twin (DT) and wireless networks Provides key approaches for optimizing DT construction and service interaction over wireless networks Demonstrate effective applications and testbeds of DT technologies in vehicular networks

Inhalt

.- 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.