Abstract
A digital twin (DT) is a virtual representation of a physical entity that can be used to improve and automate decision-making. For instance, a DT can be used for real-time performance monitoring and optimisation. In this work, we investigate DTs from the point of view of the telecommunication industry (TI). First, we provide an introduction to the main concepts, tools, and applications related to DTs. Then, we clarify the benefits of DTs for the TI. Also, we identify the main challenges hindering widespread adoption of DTs within the TI. Finally, we argue that modelling languages are the key to overcome some of the main challenges. This provides a good starting point for discussion and further research.
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Wahid, A., Zhu, J., Mauceri, S., Li, L., & Liu, M. (2023). Digital Twins: Modelling Languages Comparison. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13811 LNCS, pp. 169–178). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-25891-6_13
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