B5GEMINI: Digital Twin Network for 5G and Beyond

Alberto Mozo, Amit Karamchandani, Mario Sanz, Jose Ignacio Moreno, Antonio Pastor
April 2022
Cite DOI

Abstract

Digital Twin Network (DTN) is a new technology that builds on the concept of Digital Twins (DT) to create a virtual representation of the physical objects of a telecommunications network. DTN bridges physical and virtual spaces to enable coordination and synchronization of physical parts while eliminating the need to directly interact with them. In this work, we present B5GEMINI a DTN for 5G and beyond networks that makes an extensive use of artificial intelligence (AI). First, we present the infrastructural and architectural components that support B5GEMINI. Next, we explore five paradigmatic use cases where AI can leverage B5GEMINI for building new AI-powered applications. Finally, we identify the main components of the AI ecosystem of B5GEMINI.

Type
1
Publication
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
5G Mobile Communication Artificial Intelligence Bridges Buildings Digital Twin Digital Twin Networks Digital Twins Ecosystems Machine Learning Synchronization Telecommunications
Alberto Mozo
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.

Amit Karamchandani
Amit Karamchandani
Predoctoral Researcher

Amit Karamchandani Batra, a predoctoral researcher and Ph.D. student at the Universidad Politécnica de Madrid, has contributed to EU-funded 5G cybersecurity projects, co-authored research papers, and received multiple academic awards, including for his B.Sc. and M.Sc. degrees.