5G多天线V2V通道建模与3D游戏引擎

D. García-Roger, David Martín-Sacristán, Sandra Roger, J. Monserrat, A. Kousaridas, P. Spapis, S. Ayaz, Chan Zhou
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引用次数: 5

摘要

目前,汽车业界正在构思21世纪20年代的未来汽车,预计将在车身上分布多个天线元件,以提高通信能力。本文描述了一种新的通道表征方法,该方法在第五代移动通信支持的车对车场景中使用Unity 3D游戏引擎的光线追踪功能。首先,进行了验证过程,令人满意地验证了我们的Unity方法相对于5.2 GHz和5.75 GHz V2V通信文献中可用的信道测量的路径损耗结果。然后,在5.9 GHz下,考虑多个发射和接收天线组合,得到了一组综合车辆布置的路径损耗结果。结果表明,在未来的5G V2V场景中,在特定情况下选择提供最小路径损耗的天线组合可以最大限度地提高接收信号水平,从而在确保车辆通信的最佳信道条件中发挥至关重要的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
5G multi-antenna V2V channel modeling with a 3D game engine
The automotive industry is currently conceiving the future cars of the 2020s, which are expected to combine multiple antenna elements distributed across the car body in order to enhance their communication capabilities. This paper describes a novel approach for channel characterization that uses the ray tracing capabilities of the Unity 3D game engine on a vehicle-to-vehicle scenario supported by fifth-generation mobile communications. First, a validation process was carried out, which satisfactorily validated the path loss results of our Unity approach with respect to channel measurements available in the literature for V2V communication at 5.2 GHz and 5.75 GHz. Then, path loss results were obtained for a comprehensive set of involved vehicle arrangements considering multiple transmission and reception antenna combinations at 5.9 GHz. The results suggest that, in future 5G V2V scenarios, the selection of the antenna combination providing the minimum path loss in a particular situation, could maximize the received signal level, thus playing an essential role in ensuring the best possible channel conditions for vehicular communications.
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