Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks

Yuchen Liu; Sara Garcia Sanchez; Mingzhe Chen; Xingqin Lin; Berk Canberk; Tommaso Melodia

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arXiv · 2610.15120

Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks

Yuchen Liu·Sara Garcia Sanchez·Mingzhe Chen·Xingqin Lin·Berk Canberk·Tommaso Melodia

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Abstract

To support emerging applications such as extended reality, autonomous systems, and large-scale cyber-physical infrastructures, next-generation wireless networks must evolve beyond traditional communication paradigms toward tightly integrated and closed-loop systems. Digital Twin Networks (DTNs) have recently emerged as a key enabler of this transformation by bridging the physical and digital worlds through real-time, bidirectional interactions and adaptive control mechanisms. In this tutorial, we provide a comprehensive overview of DTN design and optimization across multiple system dimensions. Specifically, we first introduce the fundamental design principles of DTN creation, including high-fidelity twin modeling, telemetry integration, and cyber-physical synchronization. We then present resource optimization and semantic-driven DTNs, where application-aware objectives and semantic abstractions guide efficient data processing, communication, and decision-making. Subsequently, we explore physical-layer optimization techniques for DTNs, emphasizing joint sensing, communication, and adaptive wireless resource control. Furthermore, we examine DTN-guided network management and feedback optimization, focusing on closed-loop learning, real-time control, and reinforcement-driven adaptation between digital twins and physical networks. Finally, we review ongoing standardization efforts and enabling tools that support the practical deployment of DTNs in real-world systems. This tutorial aims to provide a unified perspective on DTNs as an emerging paradigm for application-aware, AI-native, and closed-loop wireless systems, and to highlight key challenges and future research directions in this rapidly evolving field.

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Yuchen Liu, Sara Garcia Sanchez, Mingzhe Chen, Xingqin Lin, Berk Canberk, Tommaso Melodia. 2026-10-10. Tutorial on Closed-Loop and Application-Aware Digital Twins for Future Wireless Networks. https://arxiv.org/abs/2610.15120

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