Spatial Correlation in Wireless Space-Time MIMO Channels

In this contribution we focus on two principle methods of modelling MIMO radio channel, including the propagation-based and analytical method. In the propagation-based method, we present a space-time geometrical channel model with hyperbolically distributed scatterers for a macrocell mobile environment. On the other hand, popular mathematical models have been proposed to model the MIMO channel matrix include (i) the Kronecker model (ii) the Virtual Channel Representation Model and (iii) the Weichselberger Model. These models capture physical wave propagation and antenna configuration at both ends representing in a matrix form. This paper compares different analytical models that impose a particular structure on the MIMO channel matrix. The aim of using these models is to reduce the large number of parameters that can be used directly from the full correlation matrix. Furthermore, Four different antenna geometries are considered under different channel environment scenarios, namely uniform linear array, uniform circular array, Hexagon array and star array.