Network Digital Twin for 6G and Beyond: An End-to-End View Across Multi-Domain Network Ecosystems
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Abstract (arXiv)
With the rapid development of technology, the number of smart mobile users is increasing, accompanied by growing demands from applications such as virtual/augmented reality (VR/XR), remote surgery, autonomous vehicles, and real-time holographic communications, all of which require high transmission rates and ultra-low latency in 6G and beyond networks (6G+). This poses enormous challenges in efficiently deploying large-scale networks, including network design, planning, troubleshooting, optimization, and maintenance, without affecting the user experience. Network Digital Twin (NDT) has emerged as a potential solution, enabling the creation of a virtual model that reflects the actual network, supporting the simulation of various network designs, applying diverse operating policies, and reproducing complex fault scenarios under real-world conditions. This motivate us for this study, where we provide a comprehensive survey of NDT in the context of 6G+, covering areas such as radio access networks (RAN), transport networks, 5G core networks and beyond (5GCORE+), cloud/edge computing, applications (blockchain, health system, manufacturing, security, and vehicular networks), non-terrestrial networks (NTNs), and quantum networks, from both academic and industrial perspectives. In particular, we are the first to provide an in-depth guide and usage of RAN and 5GCORE+ for NDT. Then, we provide an extensive review of foundation technologies such as transport networks, cloud/edge computing, applications, NTNs, and quantum networks in NDT. Finally, we discuss the key challenges, open issues, and future research directions for NDT in the context of 6G+.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 2 Jun 2025.
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Citing papers per year: 2025: 1; 2026: 4.
5 papers.
- 20266G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligencecited by 2
- 2025AI-Native Open RAN for Non-Terrestrial Networks: An Overviewcited by 1
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- 2026Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networkscited by 0
- 2026Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Studycited by 0
- 2026Toward Composable Network Digital Twins: A Subgraph-Based Latency Prediction Study16 Sep 2026
- 2026Communication-Efficient Digital-Twin Coordination for Heterogeneous LLM Embodied Agents over Computing Power Networks10 Jul 2026
- 20266G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence2 May 2026
- 2026Neural Electromagnetic Fields for High-Resolution Material Parameter Reconstruction3 Mar 2026
- 2025AI-Native Open RAN for Non-Terrestrial Networks: An Overview16 Jul 2025