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Time- and Frequency-Varying K -Factor of Non-Stationary Vehicular Channels for Safety-Relevant Scenarios

Bernado, Laura; Zemen, Thomas; Tufvesson, Fredrik LU ; Molisch, Andreas LU and Mecklenbrauker, Christoph F. (2015) In IEEE Transactions on Intelligent Transportation Systems 16(2). p.1007-1017
Abstract
Vehicular communication channels are characterized by a non-stationary time- and frequency-selective fading process due to fast changes in the environment. We characterize the distribution of the envelope of the first delay bin in vehicle-to-vehicle channels by means of its Rician $K$-factor. We analyze the time–frequency variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS). This data enables a frequency-variability analysis from an IEEE 802.11p system point of view, which uses 10 MHz channels. We show that the small-scale fading of the envelope of the first delay bin is Rician distributed with a varying... (More)
Vehicular communication channels are characterized by a non-stationary time- and frequency-selective fading process due to fast changes in the environment. We characterize the distribution of the envelope of the first delay bin in vehicle-to-vehicle channels by means of its Rician $K$-factor. We analyze the time–frequency variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS). This data enables a frequency-variability analysis from an IEEE 802.11p system point of view, which uses 10 MHz channels. We show that the small-scale fading of the envelope of the first delay bin is Rician distributed with a varying K-factor. The later delay bins are Rayleigh distributed. We demonstrate that the K-factor cannot be assumed to be constant in time and frequency. The causes of these variations are the frequency-varying antenna radiation patterns, as well as the time-varying number of active scatterers, and the effects of vegetation. We also present a simple but accurate bimodal Gaussian mixture model, which allows to capture the K-factor variability in time for safety-relevant ITS scenarios. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Channel modelling, intelligent transportation systems, non-stationary fading, Rician K-factor, safety-relevant scenarios, vehicle-to-vehicle links
in
IEEE Transactions on Intelligent Transportation Systems
volume
16
issue
2
pages
1007 - 1017
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000352282500041
  • scopus:84925372223
  • scopus:85027929609
ISSN
1524-9050
DOI
10.1109/TITS.2014.2349364
language
English
LU publication?
yes
id
3b652d6d-9e2c-479f-b223-3a475a59c3bb (old id 4731601)
date added to LUP
2014-10-29 10:47:29
date last changed
2017-09-25 12:14:59
@article{3b652d6d-9e2c-479f-b223-3a475a59c3bb,
  abstract     = {Vehicular communication channels are characterized by a non-stationary time- and frequency-selective fading process due to fast changes in the environment. We characterize the distribution of the envelope of the first delay bin in vehicle-to-vehicle channels by means of its Rician $K$-factor. We analyze the time–frequency variability of this channel parameter using vehicular channel measurements at 5.6 GHz with a bandwidth of 240 MHz for safety-relevant scenarios in intelligent transportation systems (ITS). This data enables a frequency-variability analysis from an IEEE 802.11p system point of view, which uses 10 MHz channels. We show that the small-scale fading of the envelope of the first delay bin is Rician distributed with a varying K-factor. The later delay bins are Rayleigh distributed. We demonstrate that the K-factor cannot be assumed to be constant in time and frequency. The causes of these variations are the frequency-varying antenna radiation patterns, as well as the time-varying number of active scatterers, and the effects of vegetation. We also present a simple but accurate bimodal Gaussian mixture model, which allows to capture the K-factor variability in time for safety-relevant ITS scenarios.},
  author       = {Bernado, Laura and Zemen, Thomas and Tufvesson, Fredrik and Molisch, Andreas and Mecklenbrauker, Christoph F.},
  issn         = {1524-9050},
  keyword      = {Channel modelling,intelligent transportation systems,non-stationary fading,Rician K-factor,safety-relevant scenarios,vehicle-to-vehicle links},
  language     = {eng},
  number       = {2},
  pages        = {1007--1017},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Intelligent Transportation Systems},
  title        = {Time- and Frequency-Varying K -Factor of Non-Stationary Vehicular Channels for Safety-Relevant Scenarios},
  url          = {http://dx.doi.org/10.1109/TITS.2014.2349364},
  volume       = {16},
  year         = {2015},
}