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.

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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
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article

Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations

Umberto Spagnolini, Francesco Linsalata, Eugenio Moro, Roberto Pegurri et al.
Telecommunications and Broadcasting Technologies
article

Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations

Umberto Spagnolini, Francesco Linsalata, Eugenio Moro, Roberto Pegurri, Jakob Hoydis
article en

Abstract

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.

Politecnico di Milano (IT)
Openalex Percentile: Top 86%
Telecommunications and Broadcasting Technologies
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Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations — Umberto Spagnolini, Francesco Linsalata, et al. · (2025) | TGRS Research Map | TGRS