Interference cancellation and channel estimation for MIMO-LTE-A Networks

In MIMO-LTE-A Networks, maximum-likelihood receiver structure can suppress more than a single interfering layer if there are only two antennas in terminal receiver. Also, the channel state should be estimated for correctly recovering the transmitted information. Hence in this paper, we propose to design a Channel Quality Estimation with Parallel Inter Carrier Interference (ICI) cancellation technique for MIMO-LTE-A networks. Initially the maximum-likelihood detection - interference suppression (MLD-IS) scheme is applied to suppress the interfering links. Then in ICI cancellation process, a parallel interference cancellation (PIC) method and decision statistical combining (DSC) are utilized to cancel the ICI and improve data symbol detection. The channel state is estimated by means of Linear Minimum Mean Square Error (LMMSE) method based on the Channel Quality Indicator (CQI) and Pre-coding Matrix Indicator (PMI) feedbacks. Simulation results prove that the proposed technique reduces the computational process and the complexity.