Digital Twins for 5G Networks: A modeling and deployment methodology

A Mobile Networks Digital Twin (MNDT) is a virtual replica of a mobile communication network that accurately models the devices, the communication links, the operating environment, and the applications that run on the physical network. By replicating different environments in a laboratory and runnin...

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Bibliographic Details
Published in:IEEE access 2023-01, Vol.11, p.1-1
Main Authors: Rodrigo, Mario Sanz, Rivera, Diego, Moreno, Jose Ignacio, Alvarez-Campana, Manuel, Lopez, Diego R.
Format: Article
Language:English
Subjects:
5G Core
5G mobile communication
Adaptation models
Architecture
Biological system modeling
Cybersecurity
Data acquisition
Data models
Design Methodology
Digital Twin (DT)
Digital twins
Industry 4.0
Management and Orchestration (MANO)
Methodology
Mobile Networks Digital Twin (MNDT)
Modelling
Network Function Virtualization (NFV)
Optimization
Real-time systems
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Summary:A Mobile Networks Digital Twin (MNDT) is a virtual replica of a mobile communication network that accurately models the devices, the communication links, the operating environment, and the applications that run on the physical network. By replicating different environments in a laboratory and running multiple scenarios, Digital Twins provide a cost-effective way to evaluate performance, predict the effects of network changes, optimize network management, and make appropriate decisions. This paper presents a methodology for automatically creating and using Network Digital Twins, along with a proposed architecture for performing this implementation. This work is framed in the context of the B5GEMINI project, whose goal is to develop an MNDT applied to a 5G core environment and its evolution towards 6G, being able to apply it to use cases in advanced scenarios such as cybersecurity or Industry 4.0. The proposed methodology covers the entire lifecycle of the MNDT, from the initial phases of data acquisition and modeling to the phases of use and bidirectional connection between physical and digital elements.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3267548