A time-variant MIMO channel model directly parametrised from measurements

Authors:
Nicolai Czink;Thomas Zemen;Jukka-Pekka Nuutinen;Juha Ylitalo;Ernst Bonek
Affiliations:
Telecommunications Research Center Vienna, Vienna, Austria and Smart Antennas Research Group, Stanford University, Stanford, CA;Telecommunications Research Center Vienna, Vienna, Austria;Elektrobit Ltd., Oulu, Finland;Elektrobit Ltd., Oulu, Finland;Institute of Communications and Radio Frequency Engineering, Vienna University of Technology, Vienna, Austria
Venue:
EURASIP Journal on Wireless Communications and Networking - Special issue on advances in propagation modelling for wireless systems
Year:
2009

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Abstract

This paper presents the Random-Cluster Model (RCM), a stochastic time-variant, frequency-selective, propagation-based MIMO channel model that is directly parametrised from measurements. Using a fully automated algorithm, multipath clusters are identified from measurement data without user intervention. The cluster parameters are then used to define the propagation environment in the RCM. In this way, the RCM provides a direct link between MIMO channel measurements and MIMO channel modelling. For validation, we take state-of-the-art MIMO measurements, and parametrise the RCM exemplarly. Using three different validation metrics, namely, mutual information, channel diversity, and the novel Environment Characterisation Metric, we find that the RCM is able to reflect the measured environment remarkably well.