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Modeling time-variant multipath characteristics for MIMO channels

Authors: null Chan Chen; M.A. Jensen;

Modeling time-variant multipath characteristics for MIMO channels

Abstract

This paper has demonstrated the implementation of a time-variant multipath channel model for MIMO applications. The model formulation uses measured channel data to determine the statistical representation of the time-variant multipath cluster characteristics followed by an AR model generation of stochastic realizations of the MIMO channel matrix as a function of time. Comparisons of the information theoretic MIMO performance as a function of time obtained using modeled and measured data show that the model is highly accurate for displacements up to about 10 cm, with the error then growing for larger displacements beyond this 10 cm threshold.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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