Digital Twin for Non-Terrestrial Networks: Vision, Challenges, and Enabling Technologies
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The ongoing digital transformation has sparked the emergence of various new network applications that demand cutting-edge technologies to enhance their efficiency and functionality. One of the promising technologies in this direction is the digital twin, which is a new approach to design and manage complicated cyber-physical systems with a high degree of automation, intelligence, and resilience. This article discusses the use of digital twin technology as a new approach for modeling non-terrestrial networks (NTNs). Digital twin technology can create accurate data-driven NTN models that operate in real-time, allowing for rapid testing and deployment of new NTN technologies and services, besides facilitating innovation and cost reduction. Specifically, we provide a vision on integrating the digital twin into NTNs and explore the primary deployment challenges, as well as the key potential enabling technologies within NTN realm. In closing, we present a case study that employs a data-driven digital twin model for dynamic and service-oriented network slicing within an open radio access network (O-RAN) NTN architecture.
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