A Simple Channel Model for Investigation of Multiuser Scheduling in MIMO Broadcast Channels

In this paper, a simple multiple input multiple output (MIMO) broadcast channel model is proposed and compared with measured MIMO channels. The proposed model uses a sum-of-sinusoids model for temporal correlation and the Kronecker model for spatial correlation. MIMO channel measurements were performed in the city of Bristol, UK as a part of the Mobile VCE programme. These were conducted in the 2 GHz frequency band with two pairs of dual polarized transmit antennas (4 transmit antennas) at the base station and with two pairs of crossed dipoles (4 receive antennas) at the receiver for different locations in a dense urban cellular environment. For validation of the proposed MIMO model, the standard deviation of cross correlations and eigenvalues are compared between the measured data and the simulated data. Numerical results demonstrate that the temporal correlation is more meaningful than the spatial correlation in view of multiuser scheduling in MIMO broadcast channels. Indeed, the proposed model has similar characteristics to the measured MIMO channels taking into account temporal correlation properties.