Dynamic V2V Channel Measurement and Modeling at Street Intersection Scenarios
Mi Yang, Bo Ai, Ruisi He, Zhangfeng Ma, Hang Mi, Dan Fei, Zhangdui Zhong, Yujian Li, Jing Li
Abstract
Vehicular communication has been widely concerned by academia and industry. Wireless channel characterization and modeling are the foundation of communication systems. Compared with typical road scenarios such as urban and suburban areas, wireless channel characterization in intersections is a challenging task. In this article, channel measurements at 5.9 GHz in street intersection scenarios are carried out and provide data for the characterization and modeling of time-varying vehicular channels. This article proposes a double-slope path loss model, which can accurately reflect the signal propagation loss at intersections. Furthermore, the time-varying spatial characteristics of multipath are extracted and analyzed, and the azimuth and elevation spread of arrival are statistically characterized. The influence of obstacles on multipath spatial characteristics in intersection scenarios is investigated. Then, we investigate the spatial stationarity of channels and analyze the possible reasons for the differences in spatial stationarity of different scenarios. In addition, based on multipath extraction, we quantitatively analyze the energy of dense multipath components in different propagation scenarios. The research in this article can enrich the investigation of vehicular channels and enable the analysis and design of vehicular communication systems.