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Time-Varying MIMO Channels: Parametric Statistical Modeling and Experimental Results

Summary: 1
Time-Varying MIMO Channels: Parametric
Statistical Modeling and Experimental Results
Shuangquan Wang, Student Member, IEEE, Ali Abdi, Member, IEEE, Jari Salo, Student Member,
IEEE, Hassan M. El-Sallabi, Member, IEEE, Jon W. Wallace, Member, IEEE, Pertti Vainikainen,
Member, IEEE, Michael A. Jensen, Senior Member, IEEE
Accurate characterization of multiple-input multiple-output (MIMO) fading channels is an important prerequisite
for the design of multi-antenna wireless communication systems. In this paper, a single-bounce two-ring statistical
model for time-varying MIMO flat fading channels is proposed. In the model, both the base and mobile stations
are surrounded by their own ring of scatterers. For the proposed model, a closed-form expression for the spatio-
temporal cross-correlation function between any two subchannels is derived, assuming single-bounce scattering. The
new analytical expression includes several key physical parameters of interest such as the mean angle-of-departure,
the mean angle-of-arrival, the associated angle spreads and the Doppler spread in a compact form. The model includes
many existing correlation models as special cases. Its utility is demonstrated by a comparison with collected MIMO
data in terms of the spatio-temporal correlations, level crossing rate, average fade duration, and the instantaneous
mutual information.
Index Terms
Channel Modeling, Multiple Input Multiple Output (MIMO), Multi-Antenna Systems, Level Crossing Rate (LCR),
Average Fade Duration (AFD), Spatio-Temporal Cross-Correlation (STCC), Instantaneous Mutual Information and


Source: Abdi, Ali - Department of Electrical and Computer Engineering, New Jersey Institute of Technology


Collections: Engineering