research-article

Energy Efficiency Augmentation in Massive MIMO Systems through Linear Precoding Schemes and Power Consumption Modeling

Authors:

Rao Muhammad Asif,

Jehangir Arshad,

Mustafa Shakir,

Sohail M. Noman,

Ateeq Ur Rehman Academic Editor:

Enrico M. VitucciAuthors Info & Claims

Wireless Communications and Mobile Computing, Volume 2020

https://doi.org/10.1155/2020/8839088

Published: 01 January 2020 Publication History

Abstract

Massive multiple-input multiple-output or massive MIMO system has great potential for 5^th generation (5G) wireless communication systems as it is capable of providing game-changing enhancements in area throughput and energy efficiency (EE). This work proposes a realistic and practically implementable EE model for massive MIMO systems while a general and canonical system model is used for single-cell scenario. Linear processing schemes are used for detection and precoding, i.e., minimum mean squared error (MMSE), zero-forcing (ZF), and maximum ratio transmission (MRT/MRC). Moreover, a power dissipation model is proposed that considers overall power consumption in uplink and downlink communications. The proposed model includes the total power consumed by power amplifier and circuit components at the base station (BS) and single antenna user equipment (UE). An optimal number of BS antennas to serve total UEs and the overall transmitted power are also computed. The simulation results confirm considerable improvements in the gain of area throughput and EE, and it also shows that the optimum area throughput and EE can be realized wherein a larger number of antenna arrays at BS are installed for serving a greater number of UEs.

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Cited By

Tahir TKhalid AArshad JHaider ARasheed IRehman AHussen S(2022)Implementation of an IoT-Based Solar-Powered Smart Lawn MowerWireless Communications & Mobile Computing10.1155/2022/19719022022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1971902
Hasan MSarwar Hosain MSaha TIslam SPaul LKhatak SAlkhassawneh HKariri EAhmed EHassan R(2022)Energy efficient data detection with low complexity for an uplink multi-user massive MIMO systemComputers and Electrical Engineering10.1016/j.compeleceng.2022.108045101:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.compeleceng.2022.108045

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Energy Efficiency Augmentation in Massive MIMO Systems through Linear Precoding Schemes and Power Consumption Modeling

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Published In

cover image Wireless Communications & Mobile Computing

Wireless Communications & Mobile Computing Volume 2020, Issue

2020

4630 pages

ISSN:1530-8669

Issue’s Table of Contents

Copyright © 2020 Rao Muhammad Asif et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Publisher

John Wiley and Sons Ltd.

United Kingdom

Publication History

Published: 01 January 2020

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Cited By

Tahir TKhalid AArshad JHaider ARasheed IRehman AHussen S(2022)Implementation of an IoT-Based Solar-Powered Smart Lawn MowerWireless Communications & Mobile Computing10.1155/2022/19719022022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/1971902
Hasan MSarwar Hosain MSaha TIslam SPaul LKhatak SAlkhassawneh HKariri EAhmed EHassan R(2022)Energy efficient data detection with low complexity for an uplink multi-user massive MIMO systemComputers and Electrical Engineering10.1016/j.compeleceng.2022.108045101:COnline publication date: 1-Jul-2022
https://dl.acm.org/doi/10.1016/j.compeleceng.2022.108045

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