Citation

Gustafson C, Mahler K, Bolin D, Tufvesson F. IEEE Trans. Vehicular Tech. 2020; 69(3): 2365-2375.

Copyright

(Copyright © 2020, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/TVT.2020.2964277

PMID

unavailable

Abstract

Vehicle-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. 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.

Language: en

Keywords

angular gain function; Berlin; channel gain measurement; Channel model; Channel models; congestion avoidance; COST IRACON geometry-based stochastic channel model; delay spread; Delays; distance 0.0 m to 2.0 m; Doppler spread; exponential autocorrelation; frequency 5.2 GHz to 6.2 GHz; Gamma process; geometry; geometry-based stochastic MIMO channel model; Germany; GSCM; high-resolution measurements; higher order interactions; individual multipath components; measurement-based ray tracing method; microwave propagation; MIMO communication; multipath trajectories; parameter estimation; path coherence distance; path coherence distance estimation; propagation path measurement; RANSAC algorithm; ray tracing; Ray tracing; road intersections; scatterer locations; stochastic processes; Stochastic processes; telecommunication traffic; traffic safety; Urban areas; V2V; V2V wireless communication systems; V2X; vehicle-to-vehicle wireless communication system; vehicular ad hoc networks; wireless channels; Wireless communication; wireless propagation channel