A Stochastic Model of the Time-Variant MIMO Channel Based on Experimental Observations

This paper proposes a stochastic multipath model that is useful for generating multiple-input-multiple-output (MIMO) channel matrices in time-variant environments. The multipath model is developed by first extracting the relevant multipath cluster characteristics from measured indoor channel data and subsequently capturing these characteristics in an autoregressive stochastic model. This model is then used to generate channel matrices whose space-time characteristics closely match those of realistic scenarios, particularly when birth and death of multipath clusters are included in the stochastic representation. Computational examples reveal the applicability and the accuracy of the approach. While the current implementation is based on data taken assuming that propagation is confined to the horizontal plane, this paper also discusses the extension of the model to describe 3-D propagation, enabling its application to a wide range of physical scenarios and antenna characteristics.

[1]  Fredrik Tufvesson,et al.  Cluster parameters for time-variant MIMO channel models , 2007 .

[2]  Monson H. Hayes,et al.  Statistical Digital Signal Processing and Modeling , 1996 .

[3]  M. Viberg,et al.  Two decades of array signal processing research: the parametric approach , 1996, IEEE Signal Process. Mag..

[4]  J. Wallace,et al.  Power and complex envelope correlation for modeling measured indoor MIMO channels: a beamforming evaluation , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[5]  Lee D. Davisson,et al.  An Introduction To Statistical Signal Processing , 2004 .

[6]  Klaus I. Pedersen,et al.  Channel parameter estimation in mobile radio environments using the SAGE algorithm , 1999, IEEE J. Sel. Areas Commun..

[7]  M.A. Jensen,et al.  A review of antennas and propagation for MIMO wireless communications , 2004, IEEE Transactions on Antennas and Propagation.

[8]  Michael A. Jensen,et al.  Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel , 2000, IEEE Journal on Selected Areas in Communications.

[9]  Ernst Bonek,et al.  3-D double-directional radio channel characterization for urban macrocellular applications , 2003 .

[10]  M.A. Jensen,et al.  Measurement and characterization of the time variation of indoor and outdoor MIMO channels at 2.4 and 5.2 GHz , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[11]  Thomas Zwick,et al.  A stochastic multipath channel model including path directions for indoor environments , 2002, IEEE J. Sel. Areas Commun..

[12]  M.A. Jensen,et al.  Time-Varying MIMO Channels: Measurement, Analysis, and Modeling , 2006, IEEE Transactions on Antennas and Propagation.

[13]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[14]  Andrea J. Goldsmith,et al.  Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..

[15]  Martin Haardt,et al.  A subspace-based channel model for frequency selective time variant MIMO channels , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[16]  Martin Nilsson,et al.  A cluster approach to spatio-temporal channel estimation , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[17]  Reiner S. Thomä,et al.  Capacity of MIMO systems based on measured wireless channels , 2002, IEEE J. Sel. Areas Commun..

[18]  Xuefeng Yin,et al.  Cluster Characteristics in a MIMO Indoor Propagation Environment , 2007, IEEE Transactions on Wireless Communications.

[19]  G. Reinsel.  Elements of Multivariate Time Series Analysis , 1995 .

[20]  Wim Kotterman,et al.  On the Influence of Incomplete Data Models on Estimated Angular Distributions in Channel Characterisation , 2007 .

[21]  Dan Simon.  Data smoothing and interpolation using eighth-order algebraic splines , 2004, IEEE Transactions on Signal Processing.

[22]  Michael A. Jensen,et al.  Modeling the indoor MIMO wireless channel , 2002 .

[23]  W. Wiesbeck,et al.  MIMO capacities for different antenna array structures based on double directional wide-band channel measurements , 2002, Proceedings IEEE 56th Vehicular Technology Conference.