Modeling, Simulation and Capacity Analysis of Spatially Correlated Channels in MIMO Systems

In this paper we mainly focus on capacity evaluation of Multi Input Multi Output (MIMO) systems with Spatially correlated Channel Modeling (SCM) technique. This technology promises significant improvements in spectral efficiency and throughput can be accomplished by deploying multiple antennas at both the transmitter and receiver. The proposed channel model implemented based on the knowledge of channel parameters that describe the characteristics of the channel over large areas of several Wavelength with link level design presented by shadow fading, angle spread and delay spread. Here we investigate the spatial-temporal correlation characteristics of the 3GPP-3GPP2 SCM in terms of Spatial Autocorrelation and Channel Capacity for different channel environments such as suburban macro-cell, urban macro-cell and urban micro-cell. The results show that the simulated channels provides channel capacity can be greatly increased by the more number antenna's and also optimized with spatially auto correlation for 3-sector case and 6-sector case are demonstrated by simulation results. We also compare the simulation results with prior measurement results. The comparison provides insight into the accuracy of MIMO capacity predictions using SCM model.