ABSTRACT

With the deployment of 5G wireless communication networks to handle the increasing number and requirements of users, the need for high energy efficiency and throughput is of utmost importance as more devices and people connect to the wireless communication network (internet) daily. Massive multiple-input multiple-output (MIMO) which has to do with the theory of using several hundreds of antennas serving several users with lower power consumption, less delay and high throughput was used by this research work as a solution to the above concern. The work modeled a massive MIMO network which serves as the technology for an energy efficient 5G wireless communication network and to bring it home to Nigeria, there was a comparison of the existing Wireless metropolitan area Network (WMAN) and 4G LTE in Nigeria which showed the massive MIMO to have better performance and Energy Efficiency. The design and comparison of the WMAN, 4G (Traditional MIMO) and 5G (Massive MIMO) network models were done in Simulink environment of Matlab using the knowledge of the design and operation of the massive MIMO system which was employed in the OFDM modulators and demodulators. For the analysis and comparison of the various networks, the transmission data rate, receiver power spectrum, receiver constellation, signal-to-noise ratio, effects of SNR on throughput of signals, power density spectrum of antenna, signal-to-noise ratio against packet error rate, the energy efficiency and capacity and the transmission speed were considered for each of the networks. From the simulation results, there was a clear indication that the massive MIMO network had better performance with reference to the above key performance indicators considered when compared to the WMAN and LTE. The energy efficiency for LTE which is at less than 2 bits/J was improved to almost 10 bits/J using the massive MIMO system. Finally in terms of energy efficiency, the simulation results also showed that the massive MIMO system has higher energy efficiency which serves greatly to solve the concerns raised by the increasing number of connections.