Spatial correlation in indoor MIMO channels

The paper presents the analysis of spatial correlation in MIMO channels, calculated from data measured in office environments at 5.2 GHz. Results are compared with those from channels generated using a stochastic MIMO channel model and the effect of different comparison metrics is shown. The suitability of the stochastic model under different propagation conditions is also investigated. The performance of the models has been shown to be good under non-line-of-sight (NLOS) propagation, although one model was shown to fail under conditions where the correlation amongst the elements of one array was not independent of the antenna element at the other array. It is shown how situations in which array correlation varies with array element can occur in line-of-sight (LOS) conditions, and how under these extreme circumstances, both stochastic models are unsuitable.

[1]  Björn E. Ottersten,et al.  A wideband statistical model for NLOS indoor MIMO channels , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[2]  Mark A Beach,et al.  Initial investigation of multiple-input multiple-output (MIMO) channels in indoor environments , 2000, IEEE Benelux Chapter on Vehicular Technology and Communications. Symposium on Communications and Vehicular Technology. SCVT-2000. Proceedings (Cat. No.00EX465).

[3]  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).

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

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

[6]  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).

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