BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks

Fuente: arXiv
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Autores principales: Testolina, Paolo, Polese, Michele, Johari, Pedram, Melodia, Tommaso
Formato: Preprint
Publicado: 2024
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author Testolina, Paolo
Polese, Michele
Johari, Pedram
Melodia, Tommaso
author_facet Testolina, Paolo
Polese, Michele
Johari, Pedram
Melodia, Tommaso
contents Digital twins are now a staple of wireless networks design and evolution. Creating an accurate digital copy of a real system offers numerous opportunities to study and analyze its performance and issues. It also allows designing and testing new solutions in a risk-free environment, and applying them back to the real system after validation. A candidate technology that will heavily rely on digital twins for design and deployment is 6G, which promises robust and ubiquitous networks for eXtended Reality (XR) and immersive communications solutions. In this paper, we present BostonTwin, a dataset that merges a high-fidelity 3D model of the city of Boston, MA, with the existing geospatial data on cellular base stations deployments, in a ray-tracing-ready format. Thus, BostonTwin enables not only the instantaneous rendering and programmatic access to the building models, but it also allows for an accurate representation of the electromagnetic propagation environment in the real-world city of Boston. The level of detail and accuracy of this characterization is crucial to designing 6G networks that can support the strict requirements of sensitive and high-bandwidth applications, such as XR and immersive communication.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12289
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks
Testolina, Paolo
Polese, Michele
Johari, Pedram
Melodia, Tommaso
Networking and Internet Architecture
Signal Processing
Digital twins are now a staple of wireless networks design and evolution. Creating an accurate digital copy of a real system offers numerous opportunities to study and analyze its performance and issues. It also allows designing and testing new solutions in a risk-free environment, and applying them back to the real system after validation. A candidate technology that will heavily rely on digital twins for design and deployment is 6G, which promises robust and ubiquitous networks for eXtended Reality (XR) and immersive communications solutions. In this paper, we present BostonTwin, a dataset that merges a high-fidelity 3D model of the city of Boston, MA, with the existing geospatial data on cellular base stations deployments, in a ray-tracing-ready format. Thus, BostonTwin enables not only the instantaneous rendering and programmatic access to the building models, but it also allows for an accurate representation of the electromagnetic propagation environment in the real-world city of Boston. The level of detail and accuracy of this characterization is crucial to designing 6G networks that can support the strict requirements of sensitive and high-bandwidth applications, such as XR and immersive communication.
title BostonTwin: the Boston Digital Twin for Ray-Tracing in 6G Networks
topic Networking and Internet Architecture
Signal Processing
url https://arxiv.org/abs/2403.12289