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A geometry-based stochastic MIMO model for vehicle-to-vehicle communications

Kåredal, Johan LU ; Tufvesson, Fredrik LU ; Czink, Nicolai; Paier, Alexander; Dumard, Charlotte; Zemen, Thomas; Mecklenbräuker, Christoph and Molisch, Andreas LU (2009) In IEEE Transactions on Wireless Communications 8(7). p.3646-3657
Abstract
Vehicle-to-vehicle (VTV) wireless communications have many envisioned applications in traffic safety and congestion avoidance, but the development of suitable communications systems and standards requires accurate models for the VTV propagation channel. In this paper, we present a new wideband multiple-input-multiple-output (MIMO) model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in highway and 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... (More)
Vehicle-to-vehicle (VTV) wireless communications have many envisioned applications in traffic safety and congestion avoidance, but the development of suitable communications systems and standards requires accurate models for the VTV propagation channel. In this paper, we present a new wideband multiple-input-multiple-output (MIMO) model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in highway and 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 techniques for parameterizing it from measurements 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) distance decay and a slowly varying stochastic process. The paper gives a full parameterization of the channel model and supplies an implementation recipe for simulations. The model is verified by comparison of MIMO antenna correlations derived from the channel model to those obtained directly from the measurements. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IEEE Transactions on Wireless Communications
volume
8
issue
7
pages
3646 - 3657
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • wos:000268107400046
  • scopus:70449483336
ISSN
1536-1276
DOI
10.1109/TWC.2009.080753
language
English
LU publication?
yes
id
fc047c37-14cc-4951-89de-f701be7ae67d (old id 1291520)
date added to LUP
2009-02-06 12:49:11
date last changed
2017-11-05 04:04:47
@article{fc047c37-14cc-4951-89de-f701be7ae67d,
  abstract     = {Vehicle-to-vehicle (VTV) wireless communications have many envisioned applications in traffic safety and congestion avoidance, but the development of suitable communications systems and standards requires accurate models for the VTV propagation channel. In this paper, we present a new wideband multiple-input-multiple-output (MIMO) model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in highway and 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 techniques for parameterizing it from measurements 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) distance decay and a slowly varying stochastic process. The paper gives a full parameterization of the channel model and supplies an implementation recipe for simulations. The model is verified by comparison of MIMO antenna correlations derived from the channel model to those obtained 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},
  issn         = {1536-1276},
  language     = {eng},
  number       = {7},
  pages        = {3646--3657},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Wireless Communications},
  title        = {A geometry-based stochastic MIMO model for vehicle-to-vehicle communications},
  url          = {http://dx.doi.org/10.1109/TWC.2009.080753},
  volume       = {8},
  year         = {2009},
}