mlsanityData to 7 Oct 2026

Digital-Twin-Enabled 6G: Vision, Architectural Trends, and Future Directions

arXiv 2102.12169 ↗First posted 24 Feb 2021cs.NIcited by 38

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Abstract (arXiv)

Internet of Everything (IoE) applications such as haptics, human-computer interaction, and extended reality, using the sixth-generation (6G) of wireless systems have diverse requirements in terms of latency, reliability, data rate, and user-defined performance metrics. Therefore, enabling IoE applications over 6G requires a new framework that can be used to manage, operate, and optimize the 6G wireless system and its underlying IoE services. Such a new framework for 6G can be based on digital twins. Digital twins use a virtual representation of the 6G physical system along with the associated algorithms (e.g., machine learning, optimization), communication technologies (e.g., millimeter-wave and terahertz communication), computing systems (e.g., edge computing and cloud computing), as well as privacy and security-related technologists (e.g., blockchain). First, we present the key design requirements for enabling 6G through the use of a digital twin. Next, the architectural components and trends such as edge-based twins, cloud-based-twins, and edge-cloud-based twins are presented. Furthermore, we provide a comparative description of various twins. Finally, we outline and recommend guidelines for several future research directions.

Key facts. Cited by 38 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Feb 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 6; 2023: 11; 2024: 9; 2025: 9; 2026: 2.

38 papers.

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  1. 2023Real-Time Digital Twins: Vision and Research Directions for 6G and Beyondcited by 26
  2. 2023Generative AI-empowered Simulation for Autonomous Driving in Vehicular Mixed Reality Metaversescited by 22
  3. 2022A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systemscited by 18
  4. 2023Holistic Network Virtualization and Pervasive Network Intelligence for 6Gcited by 14
  5. 2023Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimatescited by 14
  6. 2022Edge Continual Learning for Dynamic Digital Twins over Wireless Networkscited by 13
  7. 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challengescited by 12
  8. 2023Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issuescited by 12
  9. 2024Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learningcited by 10
  10. 2023A Review of Digital Twins and their Application in Cybersecurity based on Artificial Intelligencecited by 9
  11. 2022Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Networkcited by 8
  12. 2024Digital Twin-Assisted Data-Driven Optimization for Reliable Edge Caching in Wireless Networkscited by 8
26 more
  1. 2023The Seven Worlds and Experiences of the Wireless Metaverse: Challenges and Opportunitiescited by 6
  2. 2023A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environmentscited by 5
  3. 2023Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamformingcited by 5
  4. 2023Semantic-aware Digital Twin for Metaverse: A Comprehensive Reviewcited by 5
  5. 2025RadioMamba: Breaking the Accuracy-Efficiency Trade-off in Radio Map Construction via a Hybrid Mamba-UNetcited by 5
  6. 2022The Interplay of AI and Digital Twin: Bridging the Gap between Data-Driven and Model-Driven Approachescited by 4
  7. 2022The Internet of Senses: Building on Semantic Communications and Edge Intelligencecited by 4
  8. 2024Digital Twin in Industries: A Comprehensive Surveycited by 4
  9. 2025Enabling AutoML for Zero-Touch Network Security: Use-Case Driven Analysiscited by 4
  10. 2023Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approachcited by 2
  11. 2024CAVIAR: Co-simulation of 6G Communications, 3D Scenarios and AI for Digital Twinscited by 2
  12. 2024Robust Communication and Computation using Deep Learning via Joint Uncertainty Injectioncited by 2
  13. 2024Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approachcited by 2
  14. 2025Context-Aware Doubly-Robust Semi-Supervised Learningcited by 2
  15. 2022Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learningcited by 1
  16. 2024When Digital Twin Meets 6G: Concepts, Obstacles, and Research Prospectscited by 1
  17. 2025Channel Fingerprint Construction for Massive MIMO: A Deep Conditional Generative Approachcited by 1
  18. 2024Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computingcited by 0
  19. 2024SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twinscited by 0
  20. 2025Online Conformal Anomaly Detection with Prediction-Powered Data Acquisitioncited by 0
  21. 2025Photon Splatting: A Physics-Guided Neural Surrogate for Real-Time Wireless Channel Predictioncited by 0
  22. 2025A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directionscited by 0
  23. 2025Automatic Generation of Digital Twins for Network Testingcited by 0
  24. 2025RadioMapMotion: A Dataset and Baseline for Proactive Spatio-Temporal Radio Environment Predictioncited by 0
  25. 2026Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directionscited by 0
  26. 2026From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networkscited by 0