Spatially Correlated Channels for Dual-Polarized Massive MIMO Arrays: Characterization and Eigen-space Computation using IDM-CGF Method

In this paper, we demonstrate the potential of IDM-CGF (infinitesimal dipole modelling-cross-correlation Green's function) method in estimating the spatial correlation matrix for dual-polarized massive MIMO systems. A uniform rectangular array (URA) of 100 interleaved infinitesimal dipoles (IDs) with horizontal and vertical polarization is considered as test case, and its dominant Eigen-space is determined for different angular spreads and cross-polarization discrimination factors, considering a wide-range of azimuth angles for incoming signals. Furthermore, we deploy the Karhunen-Loeve method to realize correlated Rayleigh fading channel vectors, which sheds some light into the performance difference of interleaved dual-polarized massive MIMO arrays, as compared to the ideal systems involving polarization-less isotropic radiators.