On Performance of multi-user Massive MIMO for 5G and Beyond

Abstract

5G New Radio (NR) is the latest radio access technology (RAT) developed by 3GPP for the 5G mobile network. 5G NR and beyond is expected to play a key role in Cyber-Physical Systems as it will deliver significantly faster, more reliable and much lower latency connections to enable wireless control applications. 5G will support three fundamental application scenarios, enhanced Mobile BroadBand (eMBB), Ultra-Reliable and Low deployment Latency Communication (URLLC), and massive Machine-Type Communication (mMTC). mMTC is of particular importance as it forms the basis of IoT, whereas URLLC will support mission-critical applications such as autonomous robotics. The commercial roll-out of 5G is planned in phases with challenging new vertical deployments as the technology is still evolving and little practical experience is available yet. Massive MIMO is a vital enabling technology for 5G NR, enhancing reliability and data rates in challenging environments. It is one of the technologies having a low carbon emission rate as it exploits the resources in an optimal way, hence enabling more sustainable and greener networks. In this paper, we investigate the performance of two MIMO precoding techniques in terms of achievable sum rates for massive MIMO. Simulation experiments show that Zero Forcing (ZF) precoding outperforms Maximum Ratio Transmission (MRT) precoding for the given scenario and assumed conditions.