Performance Enhancement of 5G Networks Using Massive MIMO and Linear Precoding for Multi Cell Environment

Abstract

Communication becomes the essential part of human life. Wireless communication has evolved through different stages and finally marked a remarkable milestone of fifth generation network called the Fifth Generation (5G). In this modern era, the growing demand of data by the mobile users goes on increasing. In order to serve all users without service interruption, the network throughput has to be increased to a greater extend. Also newline5G demands service to a large number of users within a limited area. Hence a density of users are also increased. Spectral efficiency is one of the major parameter with wide research possibilities to improve throughput. Since the density of users is very large the possibility of interference is high with leads to packet loss and which in turn delay the communication process. Hence a linear precoding scheme is being in the proposed work to improve the performance. Initially a multi cell environment is taken for the analytical study to derive the new linear precoding vector. The multicell environment is analyzed for three different interference scenario namely best case interference, worst case interference and finally the average case interference depending on the location of mobile users in the cell with respect to the location of base station. The analysis conclude that the average case interference is best suited to the real time scenario and this is further used in the research work. Initially the the pilot based channel estimation is done and using it the new linear precoding vector is derived. And further the new spectral efficiency expression is derived from it. The interference analysis conclude the relation between the higher spectral efficiency and the optimal number of users served with better spectral efficiency. Further to find the performance of the proposed linear precoder, various parameters like antenna numbers, coherence block length and SNR are taken into account of analysis. All these analysis results are fed as input to the Smart Base Station Transm