Work

Network Digital Twins for 6G: Defining Data Taxonomy and Data Models

Year: 2024

Type: conference-paper

Abstract: As the telecommunications industry moves towards 6G, Network Digital Twins (NDTs) have emerged as a useful means for real-time monitoring, automation, and performance optimization in next-generation networks. This paper contributes to the ongoing research on NDTs within the framework of the 6G-TWIN project by presenting a comprehensive vision for NDT architecture and establishing baseline definitions for NDT data models, i.e., basic and functional models. We propose a structured taxonomy for the data required by these models to ensure a shared semantics consistent with existing standards. Furthermore, we introduce a graph-based modeling approach that provides a foundation for constructing basic models within NDTs, representing the physical network. Lastly, we discuss the challenges related to constructing basic models and propose future directions to address them.

Source: IEEE Conference on Standards for Communications and Networking

DOI: 10.1109/cscn63874.2024.10849705

Authors: Ayat Zaki-Hindi, Jean-Sébastien Sottet, Ion Turcanu, Sébastien Faye

Institution: Luxembourg Institute of Science and Technology

Language: English

Topic: Software-Defined Networks and 5G

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funders: European Commission, HORIZON EUROPE Framework Programme