"Time-Varying MIMO Channels: Parametric Statistical Modeling and Experi" by Michael A. Jensen, Shuangquan Wang et al.
 

Keywords

Average fade duration (AFD), Rayleigh fading, channel modeling, instantaneous mutual information (IMI), level crossing rate (LCR), multiantenna systems, multiple input multiple output (MIMO), spatio-temporal cross correlation (STCC)

Abstract

Accurate characterization of multiple-input multiple-output (MIMO) fading channels is an important prerequisite for the design of multiantenna wireless-communication systems. In this paper, a single-bounce two-ring statistical model for the 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-correlational 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.

Original Publication Citation

Shuangquan Wang, et al. "Time-Varying MIMO Channels: Parametric Statistical Modeling and Experimental Results." Vehicular Technology, IEEE Transactions on 56.4 (27): 1949-63

Document Type

Peer-Reviewed Article

Publication Date

2007-07-01

Permanent URL

http://hdl.lib.byu.edu/1877/1128

Publisher

IEEE

Language

English

College

Ira A. Fulton College of Engineering and Technology

Department

Electrical and Computer Engineering

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