| Multiple input and multiple output (MIMO) communication systems is a technology that anticipate and assure substantial increase in the capacity of wireless communication systems. The capacity which is achieving higher data rates with limited bandwidth and power resources. Majorly a MIMO system has the ability to provide two types of gain, spatial multiplexing or capacity gain and diversity gain.Aiming at the optimal capacity, reduction in cost and certainly simplicity are vital in future communication system. In trying to achieve all above mentioned, the need to serve multiple users simultaneously is required. Simultaneously attending to users necessitate the need of space division multiple access scheme. Previous work shows that with an effective utilization of spatial and user domain, a great level of data rate can be achieved by communication system which is close to the capacity limit, but the works are based on high complexity.This thesis shows the performance analysis of capacity in MIMO systems using zero forcing equalizer compared with two different user selection schemes and different power allocation techniques. Large capacity close to that of maximum limit of MIMO broadcasting channels was achieved. From the results obtained it was shown that Zero forcing equalizer using semi-orthogonal user selection scheme (SUS) with waterfilling outperforms in capacity achieving.Another comparison carried out in the cause of this research was comparing the Bit error rate performance of beamforming and no beamforming. The simulation results clearly showed that beamforming out performs no beamforming in performance. Error rate goes lower much faster, reliable link and less energy to obtain.The analysis carried out on the earlier considers feedback to be perfect; a scenario where feedback isn't perfect will be an extension to this research work, more so users where considered to average SNR change, analysis of users not having the same average SNR will also be an extension. |
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