My conclusions at the end of this project

The primary focus that I had undertaken in my project was to assay the MIMO system over AWGN and Rayleigh to mitigate MAI. The channel model was built on the classical understanding of fading, Doppler spread and delay spread. The transmitted signal is assumed to be corrupted by multipath and MAI, in accession to AWGN at the front end of the receiver. As anticipated, the system is interference limited. It is discerned that the Multi User Detection employing linear and non linear detection techniques at the receiver can exterminate MAI and intra-cell interferences. Investigations of the simulation results reveal that Multi User Detection can ameliorate the capacity of the MIMO channels for coded signals. It is also seen that each technique is preferred for particular environments based on the complexity of the technique. It was seen that ML was the optimum method but MAP with ZF provided the same performance as ML. Also it was seen that though ML had low complexity than MAP for less number of antennas the complexity increased linearly with increase in antennas.
It was found out that in case error control coding techniques like Low Density Parity Check (LDPC) and Turbo Codes had been employed in this work the robustness of the MIMO communication system would have been improved. But due to constraint on the time we were not able to do further research on the same. Anyhow since this is an emerging field it can be envisioned that as future mobile communication especially 4G will be employing beamforming technique, this can also be considered as additional work.