AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification
Schubert J, Yammine G, Karbownik P, Maestri A, George N, Stahlke M, Feigl T, Mutschler C, Seus D (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025
Event location: Tampere, FIN
ISBN: 9798331556808
DOI: 10.1109/IPIN66788.2025.11213435
Abstract
The rapid growth of 5G and future 6G networks requires efficient and scalable radio access network (RAN) densification, especially in dense urban and industrial areas. Traditional planning uses manual surveys and simple propagation models, but these lack spatial accuracy and adaptability. Stochastic RF simulation tools often fail to model real-world conditions, such as material properties and geometry. This leads to poor site selection, higher costs, and rollout delays.This paper proposes an AI-based framework that combines high-resolution 3D modeling, Digital Twin technology, and deterministic ray tracing. It uses aerial and ground imagery to build detailed 3D models, enhanced with object detection and material classification through segmentation models. These models enable automatic feature extraction for RF simulation and planning. The system uses open-source 3D tools, vision transformers for segmentation, and a simulation engine with antenna radiation patterns and material-aware propagation. Tests in urban and campus settings show better prediction accuracy, less manual work, and lower costs than traditional methods. Results show that AI and Digital Twins improve and automate network deployment.
Involved external institutions
Germany (DE)How to cite
APA:
Schubert, J., Yammine, G., Karbownik, P., Maestri, A., George, N., Stahlke, M.,... Seus, D. (2025). AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification. In Jari Nurmi, Simona Lohan, Aleksandr Ometov, Lucie Klus, Christopher Mutschler, Joaquin Torres-Sospedra (Eds.), Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025. Tampere, FIN: Institute of Electrical and Electronics Engineers Inc..
MLA:
Schubert, Jakob, et al. "AI-Augmented Digital Twin Framework for Scalable 5G/6G Network Densification." Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, IPIN 2025, Tampere, FIN Ed. Jari Nurmi, Simona Lohan, Aleksandr Ometov, Lucie Klus, Christopher Mutschler, Joaquin Torres-Sospedra, Institute of Electrical and Electronics Engineers Inc., 2025.
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