Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations
The increasing complexity of 6G networks demands advanced tools for network management and simulation. This demo pioneers the integration of ns-3 and NVIDIA Sienna<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">®</sup>RT, laying the foundation for the first multi-Radio Access Technologies (RAT) full-stack, open-source Digital Network Twin (DNT). The introduction of a deterministic ray tracer for an accurate channel modeling into ns-3 enables realistic and site-specific simulation which cannot be achieved via stochastic channel models. Tested in a challenging vehicular urban scenario, the proposed framework demonstrates significant improvements in predicting dynamic wireless channels and its impact at higher network layers.
Authors
- Umberto Spagnolini (ORCID: https://orcid.org/0000-0002-7047-2455)
- Francesco Linsalata (ORCID: https://orcid.org/0000-0002-6725-3606)
- Eugenio Moro (ORCID: https://orcid.org/0000-0001-9280-8362)
- Roberto Pegurri
- Jakob Hoydis
Institutions
- Politecnico di Milano (IT)
Publication Details
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1109/wcnc61545.2025.10978768
- Primary Topic
- Telecommunications and Broadcasting Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00