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

Enhancing GitHub Actions CI for FastAPI: Build, Test, and Publish - PyImageSearch


View a PDF of the paper titled Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map, by J’erome Eertmans and 4 other authors

View PDF

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.

Submission history

From: Jérome Eertmans [view email]
[v1]
Fri, 18 Oct 2024 15:23:29 UTC (206 KB)
[v2]
Mon, 21 Oct 2024 07:28:25 UTC (206 KB)
[v3]
Fri, 13 Dec 2024 06:48:46 UTC (188 KB)



Source link
lol

By stp2y

Leave a Reply

Your email address will not be published. Required fields are marked *

No widgets found. Go to Widget page and add the widget in Offcanvas Sidebar Widget Area.