Key points are not available for this paper at this time.
The vision of 6G goes beyond incremental improvements in network performance, representing a paradigm shift toward a programmable, intelligent “network of networks.” In this context, digital twins (DTs) emerge as key enabling technologies for 6G, providing virtual replicas of physical, virtual, and logical infrastructures. The capabilities of 6G, such as ultra-high-speed transmission, massive connectivity, and integration with Artificial Intelligence, are essential for enabling accurate, real-time, and synchronized DTs. However, developing DT systems poses significant challenges, including integrating heterogeneous data sources, ensuring real-time synchronization, and ensuring interoperability across distributed environments. This article presents MidDiTS, a middleware solution that supports the modeling, synchronization, and management of DT systems. MidDiTS provides a comprehensive set of services, including physical entity connection, model and instance management, data ingestion, API integration, and device management. By abstracting away system complexities and promoting interoperability, MidDiTS enables developers to focus on higher-level business logic and accelerates the development of robust, synchronized DT systems for next-generation networked environments. We validated MidDiTS in a 6G-based scenario, demonstrating significant improvements in timeliness, reliability, and operational stability. The results highlight the role of advanced network capabilities in sustaining real-time DT synchronization and confirm the suitability of MidDiTS for supporting DT systems under next-generation network conditions.
PEREIRA et al. (2026) studied this question.