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A stochastic MIMO radio channel model with experimental validation

IEEE Journal on Selected Areas in Communications · 2002 · Vol. 20(6) · pp. 1211–1226
Jean-Philippe KermoalLaurent SchumacherKlaus I. PedersenPreben MogensenF. Frederiksen

Abstract

Theoretical and experimental studies of multiple-input/multiple-output (MIMO) radio channels are presented. A simple stochastic MIMO model channel has been developed. This model uses the correlation matrices at the mobile station (MS) and base station (BS) so that results of the numerous single-input/multiple-output studies that have been published in the literature can be used as input parameters. The model is simplified to the narrowband channels. The validation of the model is based upon data collected in both picocell and microcell environments. The stochastic model has also been used to investigate the capacity of MIMO radio channels, considering two different power allocation strategies, water filling and uniform and two different antenna topologies, 4/spl times/4 and 2/spl times/4. Space diversity used at both ends of the MIMO radio link is shown to be an efficient technique in picocell environments, achieving capacities within 14 b/s/Hz and 16 b/s/Hz in 80% of the cases for a 4/spl times/4 antenna configuration implementing water filling at a SNR of 20 dB.

Advanced MIMO Systems OptimizationAntenna Design and AnalysisWireless Communication Networks ResearchMicrocellMIMOComputer scienceNarrowbandTopology (electrical circuits)Electronic engineering3G MIMOAntenna (radio)PrecodingMaximal-ratio combining

Funding

  • Aalborg Universitet
Citations
1,467
FWCI
51.78
field-weighted impact
References
32
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100%
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Cited by
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References
Effect of fading correlation on adaptive arrays in digital mobile radio
IEEE Transactions on Vehicular Technology · 1994 · 621 citations
Spatio-temporal coding for wireless communication
IEEE Transactions on Communications · 1998 · 1,467 citations
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