Angular dispersion characterization of vehicle-to-vehicle channel in cross-road scenarios

Vehicle-to-vehicle (V2V) communication based collision avoidance systems detect if two vehicles are on a collision course, which are particularly useful in the absence of line-of-sight (LOS) owing to buildings, roadside infrastructures, and road bending. This paper presents an empirical study of V2V propagation channels in two suburban cross-road scenarios, where vehicles are either moving in the same direction and separate each other, or passing each other in opposite directions at the crossing. The quasi-stationarity interval is characterized using correlation matrix distance (CMD). Angular dispersions are found to be significantly affected by the type of cross-road and the presence of a LOS. By comparing the results of the different cross-roads, it is found that the angular dispersion is large in the first type of cross-road. By contrast, in the second type of cross-road, small angular dispersion is observed due to the road bending and obstruction by roadside trees.

[1]  Pertti Vainikainen,et al.  5.3 GHz MIMO radio channel sounder , 2005, IMTC 2005.

[2]  Olivier Renaudin,et al.  Experimental channel characterization for vehicle-to-vehicle communication systems , 2013 .

[3]  Hannes Hartenstein,et al.  5.9 GHz inter-vehicle communication at intersections: a validated non-line-of-sight path-loss and fading model , 2011, EURASIP J. Wirel. Commun. Netw..

[4]  Johan Karedal,et al.  Overview of Vehicle-to-Vehicle Radio Channel Measurements for Collision Avoidance Applications , 2010, 2010 IEEE 71st Vehicular Technology Conference.

[5]  Fan Bai,et al.  Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band , 2007, IEEE Journal on Selected Areas in Communications.

[6]  Thomas Kürner,et al.  Vehicle-to-Vehicle IEEE 802.11p performance measurements at urban intersections , 2012, 2012 IEEE International Conference on Communications (ICC).

[7]  Claude Oestges,et al.  Non-Stationary Narrowband MIMO Inter-Vehicle Channel Characterization in the 5-GHz Band , 2010, IEEE Transactions on Vehicular Technology.

[8]  Fredrik Tufvesson,et al.  Radio Channel Properties for Vehicular Communication: Merging Lanes Versus Urban Intersections , 2013, IEEE Vehicular Technology Magazine.

[9]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[10]  Fredrik Tufvesson,et al.  Path Loss Modeling for Vehicle-to-Vehicle Communications , 2011, IEEE Transactions on Vehicular Technology.

[11]  Remi Sarkis.  Antenna arrays for direction of arrival estimation and imaging : from mutual coupling analysis to real-world design , 2011 .

[12]  Fredrik Tufvesson,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. INVITED PAPER Vehicular Channel Characterization and Its Implications for Wireless System Design and Performan , 2022 .

[13]  Fredrik Tufvesson,et al.  First Results from Car-to-Car and Car-to-Infrastructure Radio Channel Measurements at 5.2GHZ , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[14]  Bernard H. Fleury,et al.  First- and second-order characterization of direction dispersion and space selectivity in the radio channel , 2000, IEEE Trans. Inf. Theory.

[15]  Fredrik Tufvesson,et al.  Measurement based Shadow Fading Model for Vehicle-to-Vehicle Network Simulations , 2012, ArXiv.

[16]  Ernst Bonek,et al.  A MIMO Correlation Matrix based Metric for Characterizing Non-Stationarity , 2005 .

[17]  Fredrik Tufvesson,et al.  Directional Analysis of Vehicle-to-Vehicle Propagation Channels , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[18]  Non-stationarity characterization for vehicle-to-vehicle channels using correlation matrix distance and shadow fading correlation , 2014 .

[19]  Fredrik Tufvesson,et al.  Measurements based channel characterization for vehicle-to-vehicle communications at merging lanes on highway , 2013, 2013 IEEE 5th International Symposium on Wireless Vehicular Communications (WiVeC).

[20]  Gerd Ascheid,et al.  Analysis of Local Quasi-Stationarity Regions in an Urban Macrocell Scenario , 2010, 2010 IEEE 71st Vehicular Technology Conference.