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Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems

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

DOI
10.11591/ijece.v7i6.pp3521-3528
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 an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.

Collaboration network of the authors

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

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • 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
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Adaptive Antenna Selection and Power Allocation in Downlink Massive MIMO Systems</dc:title><dc:creator>Salh, Adeeb</dc:creator><dc:creator>Audah, Lukman</dc:creator><dc:creator>M Shah, Nor Shahida</dc:creator><dc:creator>Hamzah, Shipun A</dc:creator><dc:description>&lt;jats:p&gt;Massive multi-input, multi-output (MIMO) systems are an exciting area of study and an important technique for fifth-generation (5G) wireless networks that support high data rate traffic. An increased number of antenna arrays at the base station (BS) consumes more power due to a higher number of radio frequency (RF) chains, which cannot be neglected and becomes a technical challenge. In this paper, we investigated how to obtain the maximal data rate by deriving the optimal number of RF chains from a large number of available antenna arrays at the BS when there is equal power allocation among users. Meanwhile, to mitigate inter-user-interference and to compute transmit power allocation, we used the precoding scheme zero forcing beamforming (ZFBF). The achievable data rate is increased because the algorithm of ZFBF enables the choosing of the maximum power in relation to the optimal antenna selection. We conclude that the transmit power allocation  allows the use of less number of RF chains which provides the maximum achievable data rate depending on the optimal RF chain at the BS.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2017-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v7i6.pp3521-3528</dc:identifier><dc:identifier>10.11591/ijece.v7i6.pp3521-3528</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 7 No 6 (2017); 3521</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/8721/7382</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>