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.

翻译：随着动态场景（如车对车通信）日益普遍，无线电传播建模工具必须适应无线电信道快速变化的特性。近期，可微分射线追踪与动态射线追踪框架相继出现以应对这些挑战。然而，这两种方法的区别及其适用场景常存在混淆。本文系统综述了这两种技术，并与两种先进工具（博洛尼亚大学的3DSCAT与英伟达的Sionna）进行了对比分析。为更精确界定这些方法的适用范围，我们提出了一种基于仿真的新型度量指标——多径寿命图，该指标仅需环境几何描述即可评估无线电信道的空间与时间相干性。最后，我们在经典城市街道峡谷场景中对所提指标进行评估，所得结果与实测数据具有高度一致性。