Future vehicles will be equipped with increasing computational capabilities and various vehicular sensors, enabling intelligent vehicles to perceive their surroundings in a better way. Vehicle-to-vehicle (V2V) communication is envisioned as a complementary sensor with remarkable potential for safety-related applications. The reliability of the wireless communication link is crucial and directly related to the radio channel. Hence, a detailed understanding of the dynamic V2V propagation process is fundamental for the development of a suitable communication system. This thesis introduces insights related to the V2V radio channel and the communication performance in different vehicular scenarios. The work is based on an extensive set of wideband (1 GHz) channel sounding measurement data at 5.7 GHz and corresponding parameter estimation methods. The estimation results reveal statistical distributions for relevant wideband multipath parameters of the dynamic V2V propagation process in eight communication scenario. The intersection scenario is of particular interest for safety-related applications and the propagation therefore examined in detail. A categorization of urban intersections and three corresponding communication models are provided. In addition, a measurement-based ray tracing method is developed and applied, in order to estimate and model the locations of the scattering objects at intersections. The derived results are beneficial to realistic channel modeling approaches, in particular geometry-based stochastic channel modeling, and enhance developments towards highly reliable V2V communication systems.
Wideband propagation channel in vehicular communication scenarios
Breitbandiger Funkkanal in Szenarien der Fahrzeugkommunikation
2016
Sonstige
Elektronische Ressource
Unbekannt
DDC: | 629 |
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