When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospects
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Abstract (arXiv)
The convergence of digital twin technology and the emerging 6G network presents both challenges and numerous research opportunities. This article explores the potential synergies between digital twin and 6G, highlighting the key challenges and proposing fundamental principles for their integration. We discuss the unique requirements and capabilities of digital twin in the context of 6G networks, such as sustainable deployment, real-time synchronization, seamless migration, predictive analytic, and closed-loop control. Furthermore, we identify research opportunities for leveraging digital twin and artificial intelligence to enhance various aspects of 6G, including network optimization, resource allocation, security, and intelligent service provisioning. This article aims to stimulate further research and innovation at the intersection of digital twin and 6G, paving the way for transformative applications and services in the future.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 15 references that are in the map. First posted on arXiv 3 Sep 2024.
Builds on
5 of 15 references.
References · 5
- 2021Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applicationscited by 96
- 2021Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directionscited by 38
- 20226G Digital Twin Networks: From Theory to Practicecited by 23
- 2020Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networkscited by 15
- 2024Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approachcited by 2
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Citing papers per year: 2025: 1.
1 paper.