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Analysis of Small-Scale Fading Characteristics of V2V Communication Channel in Expressway under Construction
ISSN: 0148-7191, e-ISSN: 2688-3627
Published December 30, 2020 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
Event: 3rd International Forum on Connected Automated Vehicle Highway System through the China Highway & Transportation Society
Vehicle-to-vehicle (V2V) communication is an important part of intelligent transportation system. With the vigorous development of expressway construction, it is of great significance to study the propagation characteristics of V2V communication channels in the scene of expressway under construction. This paper describes in detail the V2V broadband channel measurement activity carried out on the A96 expressway in the suburb of Munich, Germany. Based on the measured data, the variation of signal receiving power while the vehicle was moving is analyzed. We focus on the small-scale fading characteristics of expressway sections under construction in the C-band. The results show that the magnitude of received signal varies rapidly while vehicles are moving. Comparing the measurement data with theoretical distributions, it has been found that the magnitudes of measurement data on the expressway under construction fit the best to the Rice distribution. Further, we calculate the K-factor values for the case of expressway under construction and of expressway under normal operation. The result reveals that the K-factor for the expressway under construction is significantly lower than the expressway under normal operation. Further, it has also been found that the K-factor has a slight dependence on the distance between the transmitter and the receiver. When the distance increases, the value of the K-factor decreases.
CitationLi, Y., Wang, W., Zhang, Y., Hou, J. et al., "Analysis of Small-Scale Fading Characteristics of V2V Communication Channel in Expressway under Construction," SAE Technical Paper 2020-01-5236, 2020, https://doi.org/10.4271/2020-01-5236.
Data Sets - Support Documents
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