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用于山地道路的车辆与基础设施可见光通信系统的建模和性能研究

Wei Yang¹, Haoran Liu¹, Guangpeng Cheng¹

¹Institute of Intelligent Communication and Computing, School of Information and Communication Engineering, Beijing Information Science and Technology University, Beijing 102206, China.

Sensors (Basel, Switzerland)

|September 14, 2024

概括

这项研究引入了一个新的可见光通信 (VLC) 模型,用于智能交通系统 (ITS),考虑天气和流动性. 这些发现突出了这些因素对V2I-VLC性能的重大影响.

科学领域:

工程工程师工程师工程师
计算机科学计算机科学
电信电信服务电信服务电信服务

背景情况:

可见光通信 (VLC) 是智能交通系统 (ITS) 和交通安全的关键技术.
现有的车载VLC频道模型面临着由于复杂的环境,天气和流动性的挑战.

研究的目的:

为山地道路提出一个实用的车辆到基础设施 (V2I) VLC传播模型.
分析车辆移动性和天气对V2I-VLC性能的影响.

主要方法:

开发了一个V2I VLC传播模型,包括视线 (LOS) 和非视线 (NLOS) 链接.
衍生闭式表达式用于性能指标,如路径损失,接收功率,通道容量和中断概率等.
经过验证的理论表达式与详细的模拟结果.

主要成果:

与50米高的晴朗天气相比,观察到通道增幅差异为1.8dB (中等雾) 和3dB (厚雾).
收到的光学功率在密的雾中相对于晴朗的条件可以降低高达76.2%.
频道容量随着距离的增加而显著下降 (98.9%在40m与10m之间),并且与数据速率值相关联.

结论:

拟议的模型准确地反映了现实世界的V2I-VLC场景.
天气条件和车辆移动性显著影响V2I-VLC系统性能.
该研究为ITS设计强大的V2I-VLC系统提供了关键的见解.

关键词:

平均路径损失平均路径损失频道容量频道容量频道容量停电的概率停电的概率接收到的功率是接收的功率.车辆到基础设施 (V2I)可见光通信 (VLC) 是一种可见光通信.

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