Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map

With the increasing presence of dynamic scenarios, such as Vehicle-to-Vehicle communications, radio propagation modeling tools must adapt to the rapidly changing nature of the radio channel. Recently, both Differentiable and Dynamic Ray Tracing frameworks have emerged to address these challenges. However, there is often confusion about how these approaches differ and which one should be used in specific contexts. In this paper, we provide an overview of these two techniques and a comparative analysis against two state-of-the-art tools: 3DSCAT from UniBo and Sionna from NVIDIA. To provide a more precise characterization of the scope of these methods, we introduce a novel simulation-based metric, the Multipath Lifetime Map, which enables the evaluation of spatial and temporal coherence in radio channels only based on the geometrical description of the environment. Finally, our metrics are evaluated on a classic urban street canyon scenario, yielding similar results to those obtained from measurement campaigns.

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Publication Details

Published
2025-03-30
DOI
https://doi.org/10.23919/eucap63536.2025.10999736
Citations
2
Primary Topic
Digital Radiography and Breast Imaging
Type
article
Field-Weighted Citation Impact
3.04
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article

Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map

Jérome Eertmans, Claude Oestges, Vittorio Degli‐Esposti, Laurent Jacques et al.
2 citations
Digital Radiography and Breast Imaging
3.04
article

Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map

Jérome Eertmans, Claude Oestges, Vittorio Degli‐Esposti, Laurent Jacques, Enrico Maria Vittuci
article en
2 citations

Abstract

With the increasing presence of dynamic scenarios, such as Vehicle-to-Vehicle communications, radio propagation modeling tools must adapt to the rapidly changing nature of the radio channel. Recently, both Differentiable and Dynamic Ray Tracing frameworks have emerged to address these challenges. However, there is often confusion about how these approaches differ and which one should be used in specific contexts. In this paper, we provide an overview of these two techniques and a comparative analysis against two state-of-the-art tools: 3DSCAT from UniBo and Sionna from NVIDIA. To provide a more precise characterization of the scope of these methods, we introduce a novel simulation-based metric, the Multipath Lifetime Map, which enables the evaluation of spatial and temporal coherence in radio channels only based on the geometrical description of the environment. Finally, our metrics are evaluated on a classic urban street canyon scenario, yielding similar results to those obtained from measurement campaigns.

University of Bologna (IT), UCLouvain (BE)
Openalex Percentile: Top 9%
Digital Radiography and Breast Imaging
3.04
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