NDLI: Incorporating diffuse scattering in geometry-based stochastic MIMO channel models

Content Provider	IEEE Xplore Digital Library
Author	Salmi, J. Poutanen, J. Haneda, K. Richter, A. Kolmonen, V.-M. Vainikainen, P. Molisch, A.F.
Copyright Year	2010
Description	Author affiliation: University of Southern California, Los Angeles, CA 90089-2565, United States (Salmi, J.; Molisch, A.F.) \|\| Aalto University School of Science and Technology, P.O. Box 3000, FI-02015 Espoo, Finland (Poutanen, J.; Haneda, K.; Richter, A.; Kolmonen, V.-M.; Vainikainen, P.)
Abstract	This paper introduces a model for incorporating the influence of the diffuse scattering in the MIMO radio propagation channel to the popular geometry-based stochastic channel models (GSCM). The proposed model is based on a superposition of clusters, each of which contributes to the channel as a multivariate random variable having a Kronecker structured covariance matrix. These covariance matrices are derived based on parametric modeling of the angular and delay power spectral densities related to each cluster. The model also includes polarization and temporal evolution of the clusters. The proposed approach is validated using a spectral-based visual analysis comparing the model with measured channel sounding data.
Starting Page	1
Ending Page	5
File Size	946082
Page Count	5
File Format	PDF
ISBN	9781424464319
e-ISBN	9788476534724
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	EurAAP
Subject Keyword	Solid modeling Polarization Stochastic processes Acoustic scattering Radio propagation MIMO Covariance matrix Random variables Parametric statistics Delay
Content Type	Text
Resource Type	Article

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