Performance of Stochastic Kronecker MIMO Radio Channel Model in Urban Microcells

In this paper, the performance of the widely used stochastic Kronecker multiple-input multiple-output (MIMO) radio channel model is investigated based on non-line of sight (NLOS) measured data in urban microcellular environment at 5.3 GHz carrier frequency. The channel transfer matrices rendered by the Kronecker model are compared to the measured ones in terms of the distribution of the channel coefficients and the distribution of the eigenvalues of the channel correlation matrix. Furthermore, the channel capacity and the symbol error rate performance achievable over the measured and modeled channels are also compared. Good agreement in terms of symbol error rate performance is found while 4.16% error in the median channel capacity at 20 dB signal to noise ratio (SNR) is observed

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

[2]  Reinaldo A. Valenzuela,et al.  Simplified processing for high spectral efficiency wireless communication employing multi-element arrays , 1999, IEEE J. Sel. Areas Commun..

[3]  Klaus I. Pedersen,et al.  Spatial channel characteristics in outdoor environments and their impact on BS antenna system performance , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[4]  J. Wolfowitz,et al.  Introduction to the Theory of Statistics. , 1951 .

[5]  Franklin A. Graybill,et al.  Introduction to the Theory of Statistics, 3rd ed. , 1974 .

[6]  Jørgen Bach Andersen,et al.  Array gain and capacity for known random channels with multiple element arrays at both ends , 2000, IEEE Journal on Selected Areas in Communications.

[7]  Jon W. Wallace,et al.  Deficiencies of 'Kronecker' MIMO radio channel model , 2003 .

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

[9]  K. Pedersen,et al.  A stochastic multiple-input-multiple-output radio channel model for evaluation of space-time coding algorithms , 2000, Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152).

[10]  Helmut Bölcskei,et al.  Outdoor MIMO wireless channels: models and performance prediction , 2002, IEEE Trans. Commun..

[11]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[12]  J. H. Winters,et al.  Effect of fading correlation on adaptive arrays in digital mobile radio , 1994 .

[13]  Mark A. Beach,et al.  Spatial correlation in indoor MIMO channels , 2002, The 13th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

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