6G digital twin: evolution, applications and architectural integration.
This paper provides a comprehensive overview of digital twin technology, starting with its definition as a dynamic virtual representation of physical systems. Furthermore, we distinguish between simulators and digital twins, highlighting their key differences and characteristics particularly related to the interactions with real-time data.
The paper also delves into the evolution of digital twin technology from 5G to 6G, emphasizing the need for advanced models for reconfigurable intelligent surfaces, distributed and ultra massive MIMO, new frequency bands, full duplex communication, new waveforms, joint communication and sensing, native AI-ML algorithms, and non-terrestrial networks. The section on 6G Digital Twins delves into their definition, key uses—including design verification, network simulation, scenario validation, AI/ML training, energy management, and root cause analysis—and the essential requirements for effective integration, such as high-fidelity modeling, real-time synchronization, decoupled architecture, mobile edge computing, network slicing, and robust security and privacy measures Finally, this chapter concludes with an outline of the 6G Digital twin reference architecture and a summary of the key insight.
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Fig. 1: Source: Keysight.
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