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Vehicle-to-vehicle channel models with large vehicle obstructions

He, Ruisi; Molisch, Andreas LU ; Tufvesson, Fredrik LU ; Zhong, Zhangdui; Ai, Bo and Zhang, Tingting (2014) IEEE International Conference on Communications (ICC), 2014 In [Host publication title missing] p.5647-5652
Abstract
Vehicle-to-Vehicle (V2V) communication is an en-abler for improved traffic safety and congestion control. As for any wireless system the ultimate performance limit is determined by the propagation channel. A particular point of interest is the shadowing effect of large vehicles such as trucks and buses, as this might affect the communication range significantly. In this paper we present measurement results and model the propagation channel in which a bus acts as a shadowing object between two passenger cars. The measurement setup is based on a WARP FPGA software radio as transmitter, and a Tektronix RSA5106A real-time complex spectrum analyzer as receiver. We analyze the influence of the bus location and car separation distance on the... (More)
Vehicle-to-Vehicle (V2V) communication is an en-abler for improved traffic safety and congestion control. As for any wireless system the ultimate performance limit is determined by the propagation channel. A particular point of interest is the shadowing effect of large vehicles such as trucks and buses, as this might affect the communication range significantly. In this paper we present measurement results and model the propagation channel in which a bus acts as a shadowing object between two passenger cars. The measurement setup is based on a WARP FPGA software radio as transmitter, and a Tektronix RSA5106A real-time complex spectrum analyzer as receiver. We analyze the influence of the bus location and car separation distance on the large-scale path loss, shadowing, and small-scale fading. The main effect of the bus is that it is acting as an obstruction creating an additional 15-20 dB attenuation. A Nakagami distribution is found to describe the statistics of the small-scale fading, by using Akaike's Information Criterion and the Kolmogorov-Smirnov test. The distance-dependency of the path loss is analyzed, and a stochastic model is developed to reflect the impact. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Large vehicle obstructions, vehicle-to-vehicle, path loss, shadow fading, small-scale fading
in
[Host publication title missing]
pages
5647 - 5652
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications (ICC), 2014
external identifiers
  • Scopus:84907000766
DOI
10.1109/ICC.2014.6884221
language
English
LU publication?
yes
id
2ec04f15-3b02-44b1-b134-7e39095bbf34 (old id 4731615)
date added to LUP
2014-10-29 10:48:25
date last changed
2016-10-13 04:51:25
@misc{2ec04f15-3b02-44b1-b134-7e39095bbf34,
  abstract     = {Vehicle-to-Vehicle (V2V) communication is an en-abler for improved traffic safety and congestion control. As for any wireless system the ultimate performance limit is determined by the propagation channel. A particular point of interest is the shadowing effect of large vehicles such as trucks and buses, as this might affect the communication range significantly. In this paper we present measurement results and model the propagation channel in which a bus acts as a shadowing object between two passenger cars. The measurement setup is based on a WARP FPGA software radio as transmitter, and a Tektronix RSA5106A real-time complex spectrum analyzer as receiver. We analyze the influence of the bus location and car separation distance on the large-scale path loss, shadowing, and small-scale fading. The main effect of the bus is that it is acting as an obstruction creating an additional 15-20 dB attenuation. A Nakagami distribution is found to describe the statistics of the small-scale fading, by using Akaike's Information Criterion and the Kolmogorov-Smirnov test. The distance-dependency of the path loss is analyzed, and a stochastic model is developed to reflect the impact.},
  author       = {He, Ruisi and Molisch, Andreas and Tufvesson, Fredrik and Zhong, Zhangdui and Ai, Bo and Zhang, Tingting},
  keyword      = {Large vehicle obstructions,vehicle-to-vehicle,path loss,shadow fading,small-scale fading},
  language     = {eng},
  pages        = {5647--5652},
  publisher    = {ARRAY(0x7a70510)},
  series       = {[Host publication title missing]},
  title        = {Vehicle-to-vehicle channel models with large vehicle obstructions},
  url          = {http://dx.doi.org/10.1109/ICC.2014.6884221},
  year         = {2014},
}