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Measurement-based modeling of vehicle-to-vehicle MIMO channels

Kåredal, Johan LU ; Tufvesson, Fredrik LU ; Czink, Nicolai; Paier, Alexander; Dumard, Charlotte; Zemen, Thomas; Mecklenbräuker, Christoph and Molisch, Andreas LU (2009) IEEE International Conference on Communications, 2009 In IEEE International Conference on Communications p.3470-3475
Abstract
Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems requires accurate models for the VTV propagation channel. This paper presents a new wideband MIMO (multipleinput-

multiple-output) channel model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in rural environments in Lund, Sweden. The measured channel characteristics, in particular the non-stationarity of the channel statistics, motivate the use of a geometry-based stochastic channel model (GSCM) instead of the classical tapped-delay line model. We introduce generalizations of the generic GSCM approach and find it suitable... (More)
Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems requires accurate models for the VTV propagation channel. This paper presents a new wideband MIMO (multipleinput-

multiple-output) channel model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in rural environments in Lund, Sweden. The measured channel characteristics, in particular the non-stationarity of the channel statistics, motivate the use of a geometry-based stochastic channel model (GSCM) instead of the classical tapped-delay line model. We introduce generalizations of the generic GSCM approach and find it suitable to distinguish between diffuse and discrete

scattering contributions. The time-variant contribution from discrete scatterers is tracked over time and delay using a high resolution algorithm, and our observations motivate their power being modeled as a combination of a deterministic part and a stochastic part. The paper gives a full model parameterization and the model is verified by comparison of MIMO antenna correlations derived from the channel model to those obtained

directly from the measurements. (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
in
IEEE International Conference on Communications
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications, 2009
external identifiers
  • WOS:000280922201269
  • Scopus:70449516155
language
English
LU publication?
yes
id
fca1c8e8-5347-44fe-8586-7c50a70ce5af (old id 1291398)
date added to LUP
2009-02-06 12:36:58
date last changed
2016-10-13 04:48:44
@misc{fca1c8e8-5347-44fe-8586-7c50a70ce5af,
  abstract     = {Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems requires accurate models for the VTV propagation channel. This paper presents a new wideband MIMO (multipleinput-<br/><br>
multiple-output) channel model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in rural environments in Lund, Sweden. The measured channel characteristics, in particular the non-stationarity of the channel statistics, motivate the use of a geometry-based stochastic channel model (GSCM) instead of the classical tapped-delay line model. We introduce generalizations of the generic GSCM approach and find it suitable to distinguish between diffuse and discrete<br/><br>
scattering contributions. The time-variant contribution from discrete scatterers is tracked over time and delay using a high resolution algorithm, and our observations motivate their power being modeled as a combination of a deterministic part and a stochastic part. The paper gives a full model parameterization and the model is verified by comparison of MIMO antenna correlations derived from the channel model to those obtained<br/><br>
directly from the measurements.},
  author       = {Kåredal, Johan and Tufvesson, Fredrik and Czink, Nicolai and Paier, Alexander and Dumard, Charlotte and Zemen, Thomas and Mecklenbräuker, Christoph and Molisch, Andreas},
  language     = {eng},
  pages        = {3470--3475},
  publisher    = {ARRAY(0xbf3ebe0)},
  series       = {IEEE International Conference on Communications},
  title        = {Measurement-based modeling of vehicle-to-vehicle MIMO channels},
  year         = {2009},
}