Effects of applying realistic channel conditions on performance prediction of UCA-VBLAST-MIMO systems

AbstractRecently, many realistic spatially and temporally clustered channel models were developed to be applied in the simulations of multiple input multiple output (MIMO) systems. IEEE 802.11n standard channel model includes spatio-temporal fading correlation effects and accounts for six various real propagation profiles. These profiles represent variety of propagation scenarios for indoor environments. This paper presents the impact of applying various channel model conditions on the link performance of Vertical Bell Laboratories Space-Time detection (VBLAST-MIMO) systems that employ Uniform Circular array (UCA). Also, capacity and channel estimation accuracy for this system are investigated under different channel conditions. The effect of varying the SNR on the Channel State Information (CSI) error and capacity for UCA-MIMO systems are included. Training based techniques such as Least Square (LS), scaled least square (SLS) and minimum mean square error (MMSE) methods and relaxed MMSE (RMMSE) are considered for estimating channel properties. It is found that the presence of spatial correlation can help to improve the Channel estimation accuracy at low SNR for UCA-VBLAST-MIMO system under different spatial correlation conditions