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Maximizing Energy Efficiency for Consumption Circuit Power in Downlink Massive MIMO Wireless Networks

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 7 No. 6 (2017)

DOI
10.11591/ijece.v7i6.pp2977-2985
ISSN
2088-8708, 2088-8708
Published
2017-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Massive multi-input–multi-output (MIMO) systems are crucial to maximizing energy efficiency (EE) and battery-saving technology. Achieving EE without sacrificing the quality of service (QoS) is increasingly important for mobile devices. We first derive the data rate through zero forcing (ZF) and three linear precodings: 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 in the downlink massive MIMO system. This system includes not only the transmitted power but also the fundamental operation circuit power at the transmitter signal. Maximized EE depends on the optimal number of antennas and determines the number of active users that should be scheduled in each cell. We conclude that the linear precoding technique MMSE achieves the maximum EE more than ZF and MRT because the MMSE is able to make the massive MIMO system less sensitive to SNR at an increased number of antennas.

Collaboration network of the authors

30 authors · 84 co-authorship links · 46 across different organisations

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  • Tun Hussein Onn University of Malaysia
  • University of Basrah
  • University of Surrey
  • National University of Malaysia
  • Iraq University College
  • Universiti Teknikal Malaysia Melaka
  • Al-Nisour University
  • Other organisations
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
M. F. L. AbdullahTun Hussein Onn University of Malaysia2
Bhagwan DasTun Hussein Onn University of Malaysia2
Sameer AlaniUniversiti Teknikal Malaysia Melaka2
Sami Abduljabbar RashidTun Hussein Onn University of Malaysia2
Mustafa Maad HamdiTun Hussein Onn University of Malaysia2
Rozlan AliasTun Hussein Onn University of Malaysia1
Raed Abdulkareem AbdulhasanTun Hussein Onn University of Malaysia1
Khairun Nidzam RamliTun Hussein Onn University of Malaysia1
Abdul Rashid O. MuminTun Hussein Onn University of Malaysia1
Zhili SunUniversity of Surrey1
Haitham S. CruickshankUniversity of Surrey1
Hamzah Hadi QasimTun Hussein Onn University of Malaysia1
A. E. HamzaTun Hussein Onn University of Malaysia1
Husam Hamid IbrahimTun Hussein Onn University of Malaysia1
Sara Ali AlwashAl-Nisour University1
Mahmoud Muhanad FadhelNational University of Malaysia1
O. S. HamedNational University of Malaysia1
M. I. HamzaUniversity of Basrah1
H. A. SaeedTun Hussein Onn University of Malaysia1
Mohammed Salah AboodBeijing Institute of Technology1
Abdulkarem Basil AbdulkaremUniversity of Al Maarif1
Abdulmuttalib Turky RashidUniversity of Basrah1
Ola A. HasanUniversity of Basrah1
Ramzy Salim AliUniversity of Basrah1
Hamza H. QasimIraq University College1
Mustafa A. Al SibaheeIraq University College1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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