B5GEMINI-AIUC
The B5GEMINI project aims to develop a digital twin network applied to a 5G core environment and its evolution towards 6G where use cases of interest will be developed for the use of advanced scenarios such as cybersecurity or network management, in which Network operators in coordination with Telecommunications service and equipment providers can validate new functionalities before their incorporation into the network or emulate existing situations in the network and analyze the effect of applying different policies in the network.
B5GEMINI-AIUC presents advanced components of AI/ML (Artificial Intelligence Machine Learning) and generation of Use Cases for the experimentation of B5G Digital Twins. This project contributes to the coordinated project through two complementary themes. The first focuses on research and development of advanced AI/ML mechanisms to be flexibly integrated into the components of a NTD. The second deals with the design, development and evaluation of experiments within a DTN and its generation from different use cases.
This project is funded by Ministerio de Asuntos Económicos y Transformación Digital (España) under the call of Programa UNICO (Proyectos innovadores en el despliegue de las tecnologías 5G avanzado y 6G / UNICO-5G I+D).
Alberto Mozo
Head of the research group
Full professor
I am a Full Professor at the Technical University of Madrid (Universidad Politécnica de Madrid) and lead the Research Group on Mathematical Modeling and Biocomputing at the same institution.