Native Design for 6G Digital Twin Network: Use Cases, Architecture, Functions, and Key Technologies

The massive scale of deployment, hundreds of parameters, differentiated scenarios and interworking with existing mobile networks leads to high complexity and high cost of optimization, operation and maintenance of the 5th generation mobile network (5G), which inspires that 6th generation mobile network (6G) should support high level autonomy at the beginning of deployment. Digital twin network (DTN) technology, with its advantages of intelligent decision making, low-cost experimentation, and preverification, has emerged as a key enabling technology for autonomous network. To address the need for flexibility to fulfill more diverse scenarios and high-level autonomy toward 2030, this article discusses the typical usage cases of DTN, and proposes an innovative and native design for 6G DTN, encompassing logical framework, architecture, functions, and deployment modes. Furthermore, the efficient DTN Model Construction and Intelligent Orchestration and Management are introduced to enable fully automated and high-performance DTN tasks. Finally, the future direction for DTN research is presented.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-03-24
DOI
https://doi.org/10.1109/jiot.2025.3553500
Citations
4
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
24.71

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article

Native Design for 6G Digital Twin Network: Use Cases, Architecture, Functions, and Key Technologies

Qingbi Zheng, Yuhong Huang, Liexiang Yue, Yanhong Zhu et al.
4 citations
IEEE Internet of Things Journal
Advanced Computing and Algorithms
24.71
article

Native Design for 6G Digital Twin Network: Use Cases, Architecture, Functions, and Key Technologies

Qingbi Zheng, Yuhong Huang, Liexiang Yue, Yanhong Zhu, Na Li, Xiaoyun Wang, Guangyi Liu, Qixing Wang, Mancong Kang
article en
4 citations

Abstract

The massive scale of deployment, hundreds of parameters, differentiated scenarios and interworking with existing mobile networks leads to high complexity and high cost of optimization, operation and maintenance of the 5th generation mobile network (5G), which inspires that 6th generation mobile network (6G) should support high level autonomy at the beginning of deployment. Digital twin network (DTN) technology, with its advantages of intelligent decision making, low-cost experimentation, and preverification, has emerged as a key enabling technology for autonomous network. To address the need for flexibility to fulfill more diverse scenarios and high-level autonomy toward 2030, this article discusses the typical usage cases of DTN, and proposes an innovative and native design for 6G DTN, encompassing logical framework, architecture, functions, and deployment modes. Furthermore, the efficient DTN Model Construction and Intelligent Orchestration and Management are introduced to enable fully automated and high-performance DTN tasks. Finally, the future direction for DTN research is presented.

IEEE Internet of Things JournalVol. 12(15)
China Mobile (China) (CN)
National Key Research and Development Program of China
Sustainable cities and communities
Openalex Percentile: Top 1%
Advanced Computing and Algorithms
24.71
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Native Design for 6G Digital Twin Network: Use Cases, Architecture, Functions, and Key Technologies — Qingbi Zheng, Yuhong Huang, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS