Description
The next wireless communication system (5G) provides the users with high throughput, low latency and low system complexity, in which, Massive MIMO is an essential feature in 5G that will play a major roll to achieve the projected requirements. With Massive MIMO, the base station has large number of antennas and exploit multipath propagation to improve the throughput and energy efficiency. In this project, first we simulate a downlink Massive MIMO system with Zero Forcing pre-coding algorithm that serving 4 single antenna users across different number of transmitting antennas and/or different channel profiles. Second, we will analyze the performance of that wireless communication system and compare it to the case of not assigning all the available Tx antennas to serve all the users and show the increase in Bit Error Rate and the Spectral Efficacy reduction as we lower the assigned serving Tx antennas per user. Finally, two solutions (Base station sectoring solution and Base station antenna section selection solution) will be proposed, applied on the partial Tx antenna assignments subcases to show how the system performance parameters will get improved within each proposed solution.
