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In this book, we have undertaken a systematic study of DT over wireless networks along three tightly coupled tracks: (i) constructing high-fidelity and evolvable DT models with distributed sensing and edge–cloud collaboration; (ii) enabling QoE-aware DT service interaction with uncertain evolution; and (iii) implementing a DT system in vehicular network through cloud–edge–end systems and real-time 4D scene generation. Together, these contributions form a coherent foundation that spans the principles, algorithms, and prototypes of DT at scale.

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Conclusions and Future Research Directions

  • 章节

  • 发表日期：

    2026年

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  • Changyan Yi,
  • Ruoyang Chen,
  • Jiayuan Chen,
  • Xiaolong Li,
  • Jun Cai

摘要

In this book, we have undertaken a systematic study of DT over wireless networks along three tightly coupled tracks: (i) constructing high-fidelity and evolvable DT models with distributed sensing and edge–cloud collaboration; (ii) enabling QoE-aware DT service interaction with uncertain evolution; and (iii) implementing a DT system in vehicular network through cloud–edge–end systems and real-time 4D scene generation. Together, these contributions form a coherent foundation that spans the principles, algorithms, and prototypes of DT at scale.