News

Klaus Raizer, Ericsson researcher in the AI area and former FEEC student, ministered a guest lecture on “Digital Twins and 6G network automation” on Thursday, December 7, 2023, as part of the seminar series grad class at FEEC-UNICAMP led by Prof. Christian Rothenberg.

Raizer has shown the importance of Ericsson’s innovation ability to produce Research and Development worldwide, including in Brazil, influencing multiple areas of Engineering, especially networks. The researcher has emphasized the importance of Cyber-Physical Interaction for 6G.Focusing on 6G visions automation is an essential property due to the more vehement emergence of self-dynamics on networks. Digital Twins is, therefore, being regarded as an essential area in the Telecom area for controlling the automation and digital representation of a system or virtual network capable of generating a mirror image capable of synchronizing a target image.

6G will enable a “cyber-physical continuum” where the network provides intelligence, limitless connectivity, and total physical and digital world synchronization. Vast sensors embedded in the physical world send real-time data to update digital representations. It becomes possible to trace back and analyze events, observe, and act in real-time, as well as to simulate, predict, and program future actions. A vital component of that vision is “Digital Twins”.​

Network digital twins (NDT) are digital representations of real telecommunication networks that should be synchronized with their real counterparts at an arbitrary frequency. Tailoring their requirements towards individual use cases can significantly increase their potential to create value in telecommunications processes. In this presentation, Kaizer has looked into digital twins, technologies for implementing them (e.g., simulation and machine learning), and critical use cases in telecom.​

Raizer also has shown many application areas for Digital Twins, generating strong predictive capabilities about the physical world and its behaviors. Klaus demonstrates the importance of Machine Learning for the topic of Digital Twins, indicating courses, tutorials and other sources of information on the topic relevant to the Telecom area.

For more, visit the seminar class website.