Litcius/Paper detail

B5GEMINI: Digital Twin Network for 5G and Beyond

Alberto Mozó, Amit Karamchandani, Mario Sanz, José Ignacio Moreno, Antonio Pastor

2022NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium21 citationsDOI

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.

Topics & Concepts

Computer scienceLeverage (statistics)Synchronization (alternating current)Human–computer interactionRepresentation (politics)Artificial intelligenceComputer networkLawChannel (broadcasting)PoliticsPolitical scienceDigital Transformation in IndustryIoT and Edge/Fog ComputingModular Robots and Swarm Intelligence