Vehicle-to-Vehicle Propagation Models With Large Vehicle Obstructions
Vehicle-to-Vehicle Propagation Models With Large Vehicle Obstructions
复制标题
具有大型车辆障碍物的车辆间传播模型
DOI：
10.1109/tits.2014.2311514
复制
发表时间：
2014-10-01
影响因子：
8.5
通讯作者：
Zhang, Tingting
中科院分区：
文献类型：
--
作者：
He, Ruisi;Molisch, Andreas F.;Zhang, Tingting
车对车 (V2V) 通信是改善交通安全和拥堵控制的推动者。对于任何无线系统来说，最终的性能限制是由传播信道决定的。特别令人感兴趣的是卡车和公共汽车等大型车辆的阴影效应，因为这可能会显着影响通信范围。在本文中，我们提出了测量结果并对传播通道进行建模，其中公共汽车充当遮蔽对象或充当两辆客车之间的中继。测量设置基于无线开放访问研究平台 (WARP) 现场可编程门阵列 (FPGA) 软件无线电作为发射器，并以泰克 RSA5106A 实时复杂频谱分析仪作为接收器。我们分析了公交车位置和车厢间隔距离对路径损耗、阴影、小尺度衰落、延迟扩展和互相关的影响。总线的主要影响是，它充当障碍物，产生额外的 15 至 20 dB 衰减，并使均方根延迟扩展增加大约 100 ns。通过使用 Akaike 信息准则和 Kolmogorov-Smirnov 检验，发现 Nakagami 分布可以很好地描述小尺度衰落的统计数据。分析了路径损耗的距离依赖性并建立了随机模型。
Vehicle-to-vehicle (V2V) communication is an enabler for improved traffic safety and congestion control. As for any wireless system, the ultimate performance limit is determined by the propagation channel. A particular point of interest is the shadowing effect of large vehicles such as trucks and buses, as this might affect the communication range significantly. In this paper we present measurement results and model the propagation channel, in which a bus acts either as a shadowing object or as a relay between two passenger cars. The measurement setup is based on a Wireless Open-Access Research Platform (WARP) Field-Programmable Gate Array (FPGA) software radio as transmitter and a Tektronix RSA5106A real-time complex spectrum analyzer as receiver. We analyze the influence of the bus location and car separation distance on the path loss, shadowing, small-scale fading, delay spread, and cross correlation. The main effect of the bus is that it is acting as an obstruction creating an additional 15- to 20-dB attenuation and an increase in the root-mean-square delay spread by roughly 100 ns. A Nakagami distribution is found to well describe the statistics of the small-scale fading, by using Akaike's Information Criterion and the Kolmogorov-Smirnov test. The distance dependence of the path loss is analyzed and a stochastic model is developed.