Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems Article Swipe
Adeeb Salh
,
Lukman Audah
,
Qazwan Abdullah
,
Nor Shahida Mohd Shah
,
Shipun Anuar Hamzah
,
Shahilah Nordin
,
Nabil Farah
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.32604/cmc.2021.014746
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.32604/cmc.2021.014746
Energy efficiency (EE) is a critical design when taking into account circuit power consumption (CPC) in fifth-generation cellular networks. These problems arise because of the increasing number of antennas in massive multiple-input multiple-output (MIMO) systems, attributable to inter-cell interference for channel state information. Apart from that, a higher number of radio frequency (RF) chains at the base station and active users consume more power due to the processing activities in digital-to-analogue converters and power amplifiers. Therefore, antenna selection, user selection, optimal transmission power, and pilot reuse power are important aspects in improving energy efficiency in massive MIMO systems. This work aims to investigate joint antenna selection, optimal transmit power and joint user selection based on deriving the closed-form of the maximal EE, with complete knowledge of large-scale fading with maximum ratio transmission. It also accounts for channel estimation and eliminating pilot contamination as antennas M → ∞. This formulates the optimization problem of joint optimal antenna selection, transmits power allocation and joint user selection to mitigate inter-cell-interference in downlink multi-cell massive MIMO systems under minimized reuse of pilot sequences based on a novel iterative low-complexity algorithm (LCA) for Newton's methods and Lagrange multipliers. To analyze the precise power consumption, a novel power consumption scheme is proposed for each individual antenna, based on the transmit power amplifier and CPC. Simulation results demonstrate that the maximal EE was achieved using the iterative LCA based on reasonable maximum transmit power, in the case the noise power is less than the received power pilot. The maximum EE was achieved with the desired maximum transmit power threshold by minimizing pilot reuse, in the case the transmit power allocation ρd = 40 dBm, and the optimal EE = 71.232 Mb/j.
Related Topics
Concepts
MIMO
Transmitter power output
Channel state information
Computer science
Antenna (radio)
Electronic engineering
Amplifier
Transmission (telecommunications)
Telecommunications link
Maximum power transfer theorem
Base station
Energy consumption
Efficient energy use
Power (physics)
Transmitter
Channel (broadcasting)
Engineering
Wireless
Telecommunications
Electrical engineering
Quantum mechanics
Bandwidth (computing)
Physics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.32604/cmc.2021.014746
- https://www.techscience.com/ueditor/files/TSP_CMC_67-3/TSP_CMC_14746/TSP_CMC_14746.pdf
- OA Status
- diamond
- Cited By
- 26
- References
- 44
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3135301248
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3135301248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.32604/cmc.2021.014746Digital Object Identifier
- Title
-
Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-01-01Full publication date if available
- Authors
-
Adeeb Salh, Lukman Audah, Qazwan Abdullah, Nor Shahida Mohd Shah, Shipun Anuar Hamzah, Shahilah Nordin, Nabil FarahList of authors in order
- Landing page
-
https://doi.org/10.32604/cmc.2021.014746Publisher landing page
- PDF URL
-
https://www.techscience.com/ueditor/files/TSP_CMC_67-3/TSP_CMC_14746/TSP_CMC_14746.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://www.techscience.com/ueditor/files/TSP_CMC_67-3/TSP_CMC_14746/TSP_CMC_14746.pdfDirect OA link when available
- Concepts
-
MIMO, Transmitter power output, Channel state information, Computer science, Antenna (radio), Electronic engineering, Amplifier, Transmission (telecommunications), Telecommunications link, Maximum power transfer theorem, Base station, Energy consumption, Efficient energy use, Power (physics), Transmitter, Channel (broadcasting), Engineering, Wireless, Telecommunications, Electrical engineering, Quantum mechanics, Bandwidth (computing), PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
26Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1, 2023: 4, 2022: 8, 2021: 13Per-year citation counts (last 5 years)
- References (count)
-
44Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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