The COST IRACON Geometry-based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections
KAUST DepartmentCEMSE Division, King Abdullah University of Science and Technology, 127355 Thuwal, - Saudi Arabia
Online Publication Date2020-01-06
Print Publication Date2020
Permanent link to this recordhttp://hdl.handle.net/10754/661087
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AbstractVehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and realistic assessment of V2V communication systems. In this paper, we present a novel geometry-based stochastic MIMO channel model with support for frequencies in the band of 5.2-6.2 GHz. The model is based on extensive high-resolution measurements at different road intersections in the city of Berlin, Germany. We extend existing models, by including the effects of various obstructions, higher order interactions and by introducing an angular gain function for the scatterers. Scatterer locations have been identified and mapped to measured multi-path trajectories using a measurement-based ray tracing method and a subsequent RANSAC algorithm. The developed model is parameterized, and using the measured propagation paths that have been mapped to scatterer locations, model parameters are estimated. The time variant power fading of individual multi-path components is found to be best modeled by a Gamma process with an exponential autocorrelation. The path coherence distance is estimated to be in the range of 0-2 m. The model is also validated against measurement data, showing that the developed model accurately captures the behavior of the measured channel gain, Doppler spread and delay spread. This is also the case for intersections that have not been used when estimating model parameters.
CitationGustafson, C., Mahler, K., Bolin, D., & Tufvesson, F. (2020). The COST IRACON Geometry-based Stochastic Channel Model for Vehicle-to-Vehicle Communication in Intersections. IEEE Transactions on Vehicular Technology, 1–1. doi:10.1109/tvt.2020.2964277
SponsorsThis work has been developed within the framework of the COST Action CA15104, Inclusive Radio Communication Networks for 5G and Beyond (IRACON). Parts of the work have been funded by grants from FFI/Vinnova, and ELLIIT, the Excellence center at Linkoping-Lund in Information Techn.