Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map
This work addresses the need for accurate radio channel modeling in dynamic environments, but it is incremental as it builds on existing ray tracing frameworks.
The paper tackles the challenge of modeling radio propagation in dynamic scenarios like Vehicle-to-Vehicle communications by comparing Differentiable and Dynamic Ray Tracing techniques and introducing a novel metric called the Multipath Lifetime Map. The results show that the metric yields similar outcomes to measurement campaigns in an urban street canyon scenario.
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.