提出新指标评估动态射线追踪的时空间一致性。
Comparing Differentiable and Dynamic Ray Tracing: Introducing the Multipath Lifetime Map
- 引入多径寿命图，基于环境几何描述量化信道时空间特性。
- 在城市峡谷场景中验证，结果与实测数据一致。
- 对比不同射线追踪方法，帮助选择适用场景。
随着车联网等动态场景增多，无线信道传播建模工具需适应快速变化的信道特性。近年来，可微分与动态射线追踪框架相继出现以应对挑战。然而，两类方法的区别及适用场景常引发混淆。本文综述两种技术，并与两款先进工具——UniBo的3DSCAT和NVIDIA的Sionna进行对比分析。为更精准刻画方法适用范围，提出新型基于仿真的度量指标：多径寿命图，仅依赖环境几何描述即可评估信道的空间与时间相干性。该指标在经典城市街谷场景中进行测试，结果与实测数据高度吻合。
原文摘要 · Abstract (English)
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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