Performance Investigation of Three Precoding Methods for Maximal Energy Efficiency in Next Generation Wireless Communications System

Abstract

Nowadays, Energy Efficiency (EE) has become a buzzword for future wireless communication systems. Consequently, Massive Multiple Input and Multiple Output (MMIMO) technology have attained a great attention for Multi-User Communication scenario. MMIMO systems are crucial to maximizing energy efficiency (EE) and batterysaving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through three linear precoding: Maximum Ratio Transmission (MRT), Zero-Forcing (ZF), and Minimum Mean Square Error (MMSE). Performance EE can be achieved when all available antennas are used and when taking account of the consumption circuit power ignored because of high transmit power.The aim of this work is to demonstrate how to obtain maximum EE while minimizing power consumed, which achieves a high data rate by deriving the optimal number of antennas and number of users in the massive MIMO system. The consumed power of the system includes transmitting power, circuit power consumption, and idle power consumption. The circuit power consumption dominates the system power consumption when the transmitter is equipped with the massive number of antennas. Hence, to analyze this problem, we propose a power consumption model. Maximized EE depends on the optimal number of antennas and determines the number of active users that should be scheduled in each cell. The results show the optimization of Energy with respect to the number of functioning mobile users, number of assigned base stations and launch input power in the system respectively.