SINGLE CELL MASSIVE MIMO DOWNLINK SYSTEM: ENERGY EFFICIENCY SOLUTION

Z. Raza; Z. Akhtar; N. Nawaz; G. Hussain; S. Nawaz; Bushra

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SINGLE CELL MASSIVE MIMO DOWNLINK SYSTEM: ENERGY EFFICIENCY SOLUTION

Author(s)

Z. Raza Department of Electrical Engineering, NFC Institute of Engineering & Technology, Multan, Pakistan

Z. Akhtar Department of Electrical Engineering, NFC Institute of Engineering & Technology, Multan, Pakistan

N. Nawaz Department of Electrical Engineering, NFC Institute of Engineering & Technology, Multan, Pakistan

G. Hussain Department of Electrical Engineering, NFC Institute of Engineering & Technology, Multan, Pakistan

S. Nawaz Department of Computer Science, University of Engineering & Technology,Taxila,Pakistan

Bushra Department of Computer Science, COMSATS University,Islamabad,Pakistan

Abstract

As the world is moving towards 5G communication networks, more and more energy is consumed to maintain the quality-of-services. Therefore, energy-efficiency or green communication becomes an important indicator because it guarantees a sustainable evolution. In this regard, the massive multiple-input multiple-output (MIMO) technology, where base-stations are equipped with a greater number of antennas M to achieve energy efficiency. In this paper, we analyze and investigate the single cell massive MIMO downlink system with various processing schemes at the base-station to optimize a number of base-station antennas M, active user-equipment's K and transmit power. Moreover, a new redefine power consumption model is proposed for energy-efficiency. Various simulations are conducted based on minimum mean-square error (MMSE), maximum ratio transmission/combining (MRT/MRC) and zero-forcing (ZF) processing schemes. These results reveal that the optimal energy-efficiency is achieved by a massive MIMO setup wherein hundreds of antennas are deployed to serve the relatively large number of users using zero-forcing processing.

Publication Details

Page(s) 78-83

DOI DOI not available

Published Journal: Pakistan Journal of Science, Volume: 71, Issue: 4S, Year: 2019

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Keywords

Energy Efficiency, Massive MIMO, optimization, zero-forcing