The optimization capacity of the MU-MIMO with channel quality information

Abstract

This paper represents recent research on Long Term Evolution-Advanced (LTE-A) technology which is a mobile communication system supported by Multiple-Input Multiple-Output (MIMO) antenna transmission based on Downlink transmission, whereby User Equipments (UEs) are scheduled for packet transmission via information such as channel quality indicator reports, rank indication and precoding matrices. The main focus of this research is on the feedback technique via channel quality information (CQI) in order to optimize the performance of Multi-User-MIMO (MU-MIMO) transmissions in both the ideal and the measured transmission channels, using a simulation application to compare the capacity of MU-MIMO performance and Single User (SU)-MISO. The simulation shows the advantage of MU-MIMO technology in terms of optimization of the capacity of MU-MIMO performance due to feedback. This is that the best-companion PMI can be helpful with MU-MIMO precoding. The advantage of the Zero Forced Precoder technique via the feedback is that there is no interference from the other user at the receivers.