Performance Investigation of Three Precoding Methods for Maximal Energy Efficiency in Next Generation Wireless Communications System
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Date
2018-09
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IIUC Central Library
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.
Description
Keywords
Wireless Communication