# Dynamic Coherence-Based EM Ray Tracing Simulations in Vehicular Environments

arXiv: https://arxiv.org/abs/2112.07115 · HTML: https://mlsanity.com/paper/2112.07115/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Dec 2021.

## Built on by (most cited first, 2 of 2)

- [Listen2Scene: Interactive material-aware binaural sound propagation for reconstructed 3D scenes](https://mlsanity.com/paper/2302.02809/) (2023)
- [EM-GANSim: Real-time and Accurate EM Simulation Using Conditional GANs for 3D Indoor Scenes](https://mlsanity.com/paper/2405.17366/) (2024)

## Abstract (arXiv)

5G applications have become increasingly popular in recent years as the spread of fifth-generation (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 GEMV^2, which uses a combination of deterministic and stochastic models, and WinProp, which utilizes the deterministic model for simulations with given environment information. We also compare the performance of our algorithm on complex, urban models and observe a reduction in computation time by 36% compared to GEMV^2 and by 30% compared to WinProp, while maintaining similar prediction accuracy.