Spatial correlation and capacity measurements for wideband MIMO channels in indoor office environment

This paper describes a broadband multiple input, multiple output (MIMO) channel characterization platform and capacity measurement results in indoor office environment. The MIMO testbed has been designed for broadband MIMO channel sounding, capacity measurements and for characterizing the directional-multipaths of the radio propagation channel. The MIMO channel data have been collected in 5 GHz band inside a modern office environment. Capacity results from these experiments are discussed for different propagation conditions, including non line-of-sight (NLOS) and LOS propagations with various spacings between array elements. Spatial correlations are analyzed from the measured data and a frequency selective MIMO channel model based on the correlation statistics is validated. Post-processing of the measured data with a sequential ESPRIT (Estimation of Signal Parameters via Rotational Invariance Techniques) algorithm is utilized to extract the directions of departures and arrivals of multipath components at the transmitting and receiving arrays, respectively. A method of obtaining broadband MIMO capacity, indirectly, from a single directional measurement of MIMO propagation channel is also proposed and verified from the measurement results.

[1]  Theodore S. Rappaport,et al.  Overview of spatial channel models for antenna array communication systems , 1998, IEEE Wirel. Commun..

[2]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[3]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..

[4]  Abu B. Sesay,et al.  Effect of tap gain correlation on capacity of OFDM MIMO systems , 2004 .

[5]  Helmut Bölcskei,et al.  On the capacity of OFDM-based spatial multiplexing systems , 2002, IEEE Trans. Commun..

[6]  Thomas Kailath,et al.  ESPRIT-estimation of signal parameters via rotational invariance techniques , 1989, IEEE Trans. Acoust. Speech Signal Process..

[7]  R. Valenzuela,et al.  Multiple input multiple output measurements and modeling in Manhattan , 2002, Proceedings IEEE 56th Vehicular Technology Conference.

[8]  Björn E. Ottersten,et al.  Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[9]  Preben E. Mogensen,et al.  A stochastic MIMO radio channel model with experimental validation , 2002, IEEE J. Sel. Areas Commun..

[10]  A. Intarapanich,et al.  Spatial correlation measurements for broadband MIMO wireless channels , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[11]  Helmut Bölcskei,et al.  Impact of the propagation environment on the performance of space-frequency coded MIMO-OFDM , 2003, IEEE J. Sel. Areas Commun..

[12]  Josef A. Nossek,et al.  Unitary ESPRIT: how to obtain increased estimation accuracy with a reduced computational burden , 1995, IEEE Trans. Signal Process..

[13]  Theodore S. Rappaport,et al.  Wireless Communications -- Principles and Practice, Second Edition. (The Book End) , 2002 .

[14]  Gregory D. Durgin,et al.  Theory of Stochastic Local Area Channel Modeling for Wireless Communications , 2000 .

[15]  D. Hampicke,et al.  Identification of time-variant directional mobile radio channels , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

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

[17]  Björn E. Ottersten,et al.  Modeling of wide-band MIMO radio channels based on NLoS indoor measurements , 2004, IEEE Transactions on Vehicular Technology.

[18]  Reinaldo A. Valenzuela,et al.  Outdoor BLAST measurement system at 2.44 GHz: calibration and initial results , 2002, IEEE J. Sel. Areas Commun..

[19]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[20]  Donald C. Cox,et al.  Correlation analysis based on MIMO channel measurements in an indoor environment , 2003, IEEE J. Sel. Areas Commun..

[21]  Markus Rupp,et al.  Prototype experience for MIMO BLAST over third-generation wireless system , 2003, IEEE J. Sel. Areas Commun..

[22]  A. Intarapanich,et al.  Effect of tap gain and spatial correlations to wideband capacity and experimental validation , 2004, The Ninth International Conference onCommunications Systems, 2004. ICCS 2004..

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

[24]  John M. Cioffi,et al.  Spatio-temporal coding for wireless communication , 1998, IEEE Trans. Commun..

[25]  Reinaldo A. Valenzuela,et al.  Keyholes, correlations, and capacities of multielement transmit and receive antennas , 2002, IEEE Trans. Wirel. Commun..

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

[27]  Angel E. Lozano,et al.  Effect of antenna separation on the capacity of BLAST in correlated channels , 2000, IEEE Communications Letters.

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

[29]  Andreas F. Molisch,et al.  The double-directional radio channel , 2001 .

[30]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[31]  H. Suda,et al.  Measurements of indoor 16/spl times/32 wideband MIMO channels at 5.8 GHz , 2004, Eighth IEEE International Symposium on Spread Spectrum Techniques and Applications - Programme and Book of Abstracts (IEEE Cat. No.04TH8738).

[32]  Yang Yuan-wang.  Smart Antennas For Mobile Communications Systems , 2003 .