Maximum Energy Efficiency of Three Precoding Methods for Massive MIMO Technique in Wireless Communication System

Nowadays, Energy Efficiency (EE) has turned into a buzzword for 5G. Consequently, Massive MIMO (MMIMO) technologies have attained a great attention for Multi-User Communication scenario. In this paper, the Minimum Mean Square Error (MMSE), the Maximum Ratio Transmission (MRT) and the Zero Forcing (Z...

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Published in2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) pp. 1 - 5
Main Authors Kabir, Md. Humayun, Rashid, Syed Zahidur, Gafur, Abdul, Islam, Muhammad Nurul, Hoque, MD Jiabul
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2019
Subjects
Antenna arrays
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Energy efficiency
Energy Efficiency (EE)
MIMO communication
MMIMO technique
Power demand
Precoding
Throughput
Wireless Communication System
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Summary:Nowadays, Energy Efficiency (EE) has turned into a buzzword for 5G. Consequently, Massive MIMO (MMIMO) technologies have attained a great attention for Multi-User Communication scenario. In this paper, the Minimum Mean Square Error (MMSE), the Maximum Ratio Transmission (MRT) and the Zero Forcing (ZF) precoding methods are analyzed for MMIMO technique from an EE perspective. The results show the optimization of EE against the amount of clients, amount of assigned base stations as well as launch input power in the system respectively.
DOI:10.1109/ECACE.2019.8679238