On the Modelling of Polarized MIMO Channel

This paper presents a simple model for polarized multiple-input multiple-output (MIMO) channels. At first, the model is desired for line-of-sight (LOS) scenario, and then generalized for non-LOS (NLOS) case. The analysis of the crosspolarization discrimination (XPD) for a 2×2 MIMO systems shows that the XPD depends on both the antenna patterns and the polarization mismatch between the transmit and receive antenna pairs. In addition, this theoretical model can be easily integrated into the spatial channel model (SCM) to predict the dual-polarized MIMO channels for LOS and non-LOS (NLOS) scenarios. The comparisons between simulation results and measurements further proof this model’s applicability.

[1]  Vinko Erceg,et al.  Dual-polarization versus single-polarization MIMO channel measurement results and modeling , 2006, IEEE Transactions on Wireless Communications.

[2]  Claude Oestges.  A stochastic geometrical vector model of macro- and megacellular communication channels , 2002, IEEE Trans. Veh. Technol..

[3]  Claude Oestges,et al.  Propagation modeling of MIMO multipolarized fixed wireless channels , 2004, IEEE Transactions on Vehicular Technology.

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

[5]  S. Stavrou,et al.  Capacity Improvement for a Land Mobile Single Satellite MIMO System , 2006, IEEE Antennas and Wireless Propagation Letters.

[6]  V. Erceg,et al.  Multiple-input multiple-output fixed wireless radio channel measurements and modeling using dual-polarized antennas at 2.5 GHz , 2004, IEEE Transactions on Wireless Communications.

[7]  Fredrik Tufvesson,et al.  Polarized MIMO channels in 3-D: models, measurements and mutual information , 2006, IEEE Journal on Selected Areas in Communications.

[8]  Donald C. Cox,et al.  Effect of antenna polarization on the capacity of a multiple element system in an indoor environment , 2002, IEEE J. Sel. Areas Commun..

[9]  J. Salo,et al.  An interim channel model for beyond-3G systems: extending the 3GPP spatial channel model (SCM) , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[10]  Lars Thiele,et al.  Capacity Measurements in a Multicell MIMO System , 2006 .

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

[12]  Lasse Vuokko,et al.  Comparison of MIMO antenna configurations in picocell and microcell environments , 2003, IEEE J. Sel. Areas Commun..

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

[14]  F. Tufvesson,et al.  Statistical evaluation of outdoor-to-indoor office MIMO measurements at 5.2 GHz , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[15]  A.K. Jagannatham,et al.  MIMO indoor WLAN channel measurements and parameter modeling at 5.25 GHz , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[16]  Z. Popović,et al.  Virtual channel space-time processing with dual-polarization discrete lens antenna arrays , 2005, IEEE Transactions on Antennas and Propagation.

[17]  Rodney G. Vaughan,et al.  Polarization diversity in mobile communications , 1990 .

[18]  Michael A. Jensen,et al.  Experimental characterization of the MIMO wireless channel: data acquisition and analysis , 2003, IEEE Trans. Wirel. Commun..

[19]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .