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A geometry-based stochastic approach to emulate V2V communications’ main propagation channel metrics

Published online by Cambridge University Press:  15 January 2016

Jessen Narrainen*
Affiliation:
RENAULT SAS, Technocentre Renault, 78084 Guyancourt Cedex, France IETR, UMR CNRS 6164 – INSA de Rennes, 20 Av. des Buttes de Coësmes 35043 Rennes, France
Philippe Besnier
Affiliation:
IETR, UMR CNRS 6164 – INSA de Rennes, 20 Av. des Buttes de Coësmes 35043 Rennes, France
Martine Gatsinzi Ibambe
Affiliation:
RENAULT SAS, Technocentre Renault, 78084 Guyancourt Cedex, France
*
Corresponding author: J. Narrainen Email: [email protected]

Abstract

In order to evaluate a communication system, we need to model the propagation channel of the relevant environments pertaining to that communication. In this paper, we propose a Geometry-Based Stochastic Channel Modeling approach to build up propagation channel simulations to assess the performance of vehicle-to-vehicle wireless communications. Our methodology allows the simulation of dynamic scenarios, with an electromagnetic simulator, to emulate typical propagation environments (rural, highway and urban-like propagation channels). Simple metallic plates are used to represent scatterers in the simulated geometric configurations. The common characteristics defining a propagation channel such as delay spread, angle of arrival distribution, and the delay-Doppler spectrum are obtained through adjustment of the number and location of those simple metallic plates.

Type
Research Paper
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

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References

REFERENCES

[1]Maurer, J.; Fügen, T.; Schäfer, T.; Wiesbeck, W.: A new inter-vehicle communications (IVC) channel model, in Proc. IEEE 60th VTC, vol. 1, (VTC'04-Fall), 2004, 9–13.Google Scholar
[2]Abbas, T.; Nuckelt, J.; Kurner, T.; Zemen, T.; Mecklenbrauker, C.-F.; Tufvesson, F.: Simulation and measurement-based vehicle-to-vehicle channel characterization: accuracy and constraint analysis. IEEE Trans. Antennas Propag., 63 (7) (2015), 32083218.Google Scholar
[3]Acosta-Marum, G.; Ingram, M.A.: Six time- and frequency-selective empirical channel models for vehicular wireless LANs. IEEE Veh. Technol. Mag., 2 (4) (2007), 411.Google Scholar
[4]Bernado, L.; Zemen, T.; Tufvesson, F.; Molisch, A.; Mecklenbrauker, C.: Delay and Doppler spreads of non-stationary vehicular channels for safety relevant scenarios. IEEE Trans. Veh. Technol., 63 (1) (2014), 8293.Google Scholar
[5]Karedal, J. et al. : A geometry-based stochastic MIMO model for vehicle-to-vehicle communications. IEEE Trans. Wireless Commun., 8 (7) (2009), 36463657.Google Scholar
[6]Soltani, M.D.; Alimadadi, M.; Mohammadi, A.: Modeling of mobile scatterer clusters for Doppler spectrum in wideband vehicleto-vehicle communication channels. IEEE Commun. Lett., 18 (4) (2014), 628631.Google Scholar
[7]Cheng, X. et al. : An adaptive geometry-based stochastic model for non-isotropic MIMO mobile-to-mobile channels. IEEE Trans. Wireless Commun., 8 (9) (2009), 48244835.Google Scholar
[8]Zajic, A.G.; Stuber, G.L.: Three-dimensional modeling and simulation of wideband MIMO mobile-to-mobile channels. IEEE Trans. Wireless Commun., 8 (3) (2009), 12601275.Google Scholar
[9]Zajic, A.G.: Impact of moving scatterers on vehicle-to-vehicle narrow-band channel characteristics. IEEE Trans. Veh. Technol., 63 (8) (2014), 30943106.Google Scholar
[10]Renaudin, O.; Kolmonen, V.-M.; Vainikainen, P.; Oestges, C.: Wideband measurement-based modeling of inter-vehicle channels in the 5-GHz band. IEEE Trans. Veh. Technol., 62 (8) (2013), 35313540.Google Scholar
[11]Matolak, D.W.; Wu, Q.: Channel Models for V2V Communications: A Comparison of Different Approaches, in Proc. European Conf. on Antennas & Propagation, Rome, Italy, April 2011, 1115.Google Scholar
[12]Molisch, A.F.: Wireless Communications, 2nd ed., Wiley, 2010.Google Scholar
[13]Molisch, A. et al. : A survey on vehicle-to-vehicle propagation channels. IEEE Wireless Commun., 16 (6) (2009), 1222.Google Scholar
[14]Stoica, P.; Moses, R.L.: Spectral Analysis of Signals, 1st ed., Prentice-Hall, 2005.Google Scholar
[15]Ivan, I.; Besnier, P.; Bunlon, X.; Le Danvic, L.; Crussière, M.; Drissi, M.: Influence of propagation channel modeling on V2X physical layer performance, European Conf. on Antennas and Propagation, EuCAP 2010, Barcelona, Spain, May 2010.Google Scholar