Performance of Adaptive Beamforming Algorithm for LMS-MCCDMA MIMO Smart Antennas

We propose a downlink multiple-input multiple-output multi-carrier code division multiple access system with adaptive beamforming algorithm for smart antennas. The algorithm used in this paper is based on the least mean square, with pilot channel estimation and the zero forcing equalizer in the receiver, requiring reference signal and no knowledge channel. multi-carrier code division multiple access is studied in a multiple antenna context in order to efficiently exploit robustness against multipath effects and multi-user flexibility multi-carrier code division multiple access and channel diversity offered by multiple-input multiple-output systems for radio mobile channels. Computer simulations, considering multi-path Rayleigh Fading Channel, interference inter symbol and interference are presented to verify the performance.Simulation results demonstrate a significant performance improvement using our proposed receiver structure for a multiple-input multiple-output system with the presence of large Interferences. Therefore, the BER performance of the proposed system is much better than STBC- multi-carrier code division multiple access system with RMSE algorithm. In the other hand it can be seen that, as a number of antennas at transmitter and receiver increases, the performance also improves and the number of interferences decrease the performance of the system with the same Rayleigh fading environment.