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In Multiple-Input Multiple-Output( MIMO) system, the number of positive channel matrix eigenvalues is directly related to system performance. In order to characterize and model channel matrix eigenvalues,channel measurements at 6. 0- 6. 4GHz by using 4 × 4 MIMO structure were conducted in a typical classroom environment. Based on measured data, the eigenvalues were modeled as Log-Normal distributed random variables and parameterized. Furthermore, Cross-Correlation( CC) coefficients of eigenvalues were estimated. The measurement results show that,under both Light-Of-Sight( LOS) and NonLight-Of-Sight( NLOS) scenarios,eigenvalues are highly de-correlated so that CC can be ignored for eigenvalue model.
The number of positive channel matrix eigenvalues is directly related to system performance. In order to characterize and model channel matrix eigenvalues, channel measurements at 6. 0-6. 4GHz by using 4 × Based on the measured data, the eigenvalues were modeled as Log-Normal distributed random variables and parameterized. Furthermore, Cross-Correlation (CC) coefficients of eigenvalues were estimated. The measurement results show that, under both Light-Of-Sight (LOS) and NonLight-Of-Sight (NLOS) scenarios, eigenvalues are highly de-correlated so that CC can be ignored for eigenvalue model.