DocumentCode
3634956
Title
Experimental modeling of the effect of adjacent lane traffic on the vehicular channel
Author
Haris Kremo;Ivan ?e?kar;Predrag Spasojev?c
Author_Institution
WINLAB, ECE Department, Rutgers University, USA
fYear
2009
Firstpage
1
Lastpage
8
Abstract
Our experimental study measures the effects of a stationary and a moving vehicle on the 22 MHz 802.11b and the 20 MHz 802.11a channel using a vector network analyzer (VNA). The experiments with the vehicle slowly passing by a transmitter-receiver pair correspond to a case study where the communication session occurs in a single lane of a multi-lane highway with a vehicle moving in the adjacent lane. We propose a corresponding ray-tracing model based on the bistatic radar equation which predicts the link power for a given car geometry and the position of transmit and receive antennas. The model converts a near field propagation problem to a superposition of a set of far field sub-problems by representing the vehicle as a set of (sufficiently small) ideally conductive flat tiles. Hence, the channel transfer function is determined as a sum of the line-of-sight (LOS) component and the rays reflected from the tiles. The ray strengths are a function of the effective tile radar cross sections (RCSs). The carefully selected RCS model allows for a good match between the measurements and the resulting ray-tracing model. Both the model and the measurements illustrate that the change in the propagation geometry on the order of centimeters, created by a car passing in the proximity (on the order of meters), results in the change of the signal power at the receiver on the order of several decibels.
Keywords
"Traffic control","Tiles","Road vehicles","Ray tracing","Solid modeling","Geometry","Telecommunication traffic","Road transportation","Predictive models","Bistatic radar"
Publisher
ieee
Conference_Titel
Vehicular Networking Conference (VNC), 2009 IEEE
ISSN
2157-9857
Print_ISBN
978-1-4244-5685-7
Electronic_ISBN
2157-9865
Type
conf
DOI
10.1109/VNC.2009.5416369
Filename
5416369
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