机动环境中的动态、基于一致性的EM Ray追踪模拟 (Dynamic Coherence-Based EM Ray Tracing Simulations in Vehicular Environments)

5G applications have become increasingly popular in recent years as the spread of 5G network deployment has grown. For vehicular networks, mmWave band signals have been well studied and used for communication and sensing. In this work, we propose a new dynamic ray tracing algorithm that exploits spatial and temporal coherence. We evaluate the performance by comparing the results on typical vehicular communication scenarios with NYUSIM, which builds on stochastic models, and Winprop, which utilizes the deterministic model for simulations with given environment information. We compare the performance of our algorithm on complex, urban models and observe the reduction in computation time by 60% compared to NYUSIM and 30% compared to Winprop, while maintaining similar prediction accuracy.

翻译：随着5G网络部署的扩大,近年来5G应用越来越受欢迎。对于车辆网络来说,毫米Wave波段信号已经进行了仔细研究,并被用于通信和感知。在这项工作中,我们提出了一种新的动态射线追踪算法,利用空间和时间的一致性。我们通过比较典型车辆通信情景的结果来评估业绩,该预测法以随机模型为基础,而Winprop则使用确定模型进行模拟,并使用给定的环境信息。我们比较了我们的复杂城市模型算法的性能,并观察到计算时间比NYUSIM减少了60%,比Winprop减少了30%,同时保持了类似的预测准确性。