Analysis of Different Interference Mitigation Techniques Based on Bit Error Rate (BER) in 5G

5G technology is a revolutionized technology of wireless communication system, and it changes the way of communication as used before. It makes it easier for the user to communicate with any devices linked to the 5G network. 5G can provide a bigger data rate, low latency, low power consumption, higher energy efficiency, enhanced quality of experience (QoE), higher throughput, etc. One of the important technologies is the massive MIMO system, which is used in the 5G network to provide an effective and high-quality signal to each and every individual user. 5G is a highly efficient network and it increases the network capacity and spectral efficiency at an extreme level. The 5G network can connect a huge number of user equipment or appliances, which transmit different signals that cause high interference in the network. So Interference becomes a major issue in this network. There are various types of interferences in this network like inter-cell and intra-cell interference, inter-symbol interference, co-channel interference, interference from various connected machines, and interference from other connected devices. For resolving this issue, different linear and non-linear equalizers are used. In this work, the performance analysis of a network with massive MIMO system is done by using zero forcing, minimum mean square error (MMSE), and maximum likelihood (ML) equalizer algorithm, where zero forcing and MMSE are linear equalizers while ML being a non-linear equalizer. The BER analysis is accomplished under the Rayleigh channel using 4-QAM modulation. The present work has been analyzed and implemented using MATLAB R2020b. The simulation results show that the BER value is lesser for higher SNR value, and the ML equalizer gives the lesser BER among these three.