On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
A BER-Based Partitioned Model for a 2.4GHz Vehicle-to-Vehicle Expressway Channel
Wireless Personal Communications: An International Journal
Wireless Communications
Survey of channel and radio propagation models for wireless MIMO systems
EURASIP Journal on Wireless Communications and Networking
A generic model for MIMO wireless propagation channels in macro- and microcells
IEEE Transactions on Signal Processing
The COST 259 Directional Channel Model-Part II: Macrocells
IEEE Transactions on Wireless Communications
Modeling, analysis, and simulation of MIMO mobile-to-mobile fading channels
IEEE Transactions on Wireless Communications
MAC for dedicated short range communications in intelligent transport system
IEEE Communications Magazine
Statistical characterization of urban spatial radio channels
IEEE Journal on Selected Areas in Communications
Propagation aspects of vehicle-to-vehicle communications - an overview
RWS'09 Proceedings of the 4th international conference on Radio and wireless symposium
Vehicle-to-vehicle channel modeling and measurements: recent advances and future challenges
IEEE Communications Magazine
Measurement-based modeling of vehicle-to-vehicle MIMO channels
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
EURASIP Journal on Wireless Communications and Networking
Improving the accuracy of environment-specific vehicular channel modeling
Proceedings of the seventh ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
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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 nonstationarity 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.