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Effect of Fog and Rain on the Performance of Vehicular Visible Light Communications

机译:雾和雨对车辆可见光通信性能的影响

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In Intelligent Transportation Systems, visible light communication (VLC) has emerged as a powerful candidate to enable wireless connectivity in vehicle-to-vehicle (V2V) and vehicle-to- infrastructure (V2I) links. While VLC has been studied intensively in the context of indoor communications, its application to vehicular networking is relatively new. In this paper, we carry out a comprehensive channel modeling study to quantify the effect of rain and fog on a V2V link with a high-beam headlamp acting as the transmitter. Taking advantage of advanced ray tracing features, we first develop a path loss model for V2V link as a function of distance under different weather conditions. Then, we use this expression to determine the maximum achievable distance to ensure a given bit error rate. We further investigate the deployment of relay- assisted systems to extend transmission ranges. Extensive numerical results are presented to corroborate our findings.
机译:在智能交通系统中,可见光通信(VLC)已成为在车对车(V2V)和车对基础设施(V2I)链路中实现无线连接的强大候选者。尽管已经在室内通信的背景下对VLC进行了深入研究,但VLC在车辆联网中的应用相对较新。在本文中,我们进行了全面的通道建模研究,以使用远光灯作为发射器来量化V2V链路上的雨雾影响。利用先进的光线追踪功能,我们首先针对不同天气条件下的V2V链接开发了路径损耗模型,该模型是距离的函数。然后,我们使用该表达式来确定最大可确保距离,以确保给定的误码率。我们将进一步研究中继辅助系统的部署,以扩展传输范围。大量的数值结果被提出来证实我们的发现。

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