Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems
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 inter...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Tech Science Press
2021
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/1759/1/J12122_4d7e86bcafe731d4b5da6b65ede04a56.pdf |
| _version_ | 1825709599814057984 |
|---|---|
| author | Salh, Adeeb Audah, Lukman Abdullah, Qazwan M. Shah, Nor Shahida A. Hamzah, Shipun Nordin, Shahilah Farah, Nabil |
| author_facet | Salh, Adeeb Audah, Lukman Abdullah, Qazwan M. Shah, Nor Shahida A. Hamzah, Shipun Nordin, Shahilah Farah, Nabil |
| author_sort | Salh, Adeeb |
| collection | UTHM |
| description | 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 antennasM→∞.
This formulates the optimization problem of joint optimal antenna selection,
transmits power allocation and joint user selection to mitigate inter-cellinterference
in downlink multi-cell massiveMIMO 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. |
| first_indexed | 2024-03-05T21:41:02Z |
| format | Article |
| id | uthm.eprints-1759 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English |
| last_indexed | 2024-03-05T21:41:02Z |
| publishDate | 2021 |
| publisher | Tech Science Press |
| record_format | dspace |
| spelling | uthm.eprints-17592021-10-18T02:49:01Z http://eprints.uthm.edu.my/1759/ Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems Salh, Adeeb Audah, Lukman Abdullah, Qazwan M. Shah, Nor Shahida A. Hamzah, Shipun Nordin, Shahilah Farah, Nabil TH7005-7699 Heating and ventilation. Air conditioning TJ163.26-163.5 Energy conservation 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 antennasM→∞. This formulates the optimization problem of joint optimal antenna selection, transmits power allocation and joint user selection to mitigate inter-cellinterference in downlink multi-cell massiveMIMO 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. Tech Science Press 2021 Article PeerReviewed text en http://eprints.uthm.edu.my/1759/1/J12122_4d7e86bcafe731d4b5da6b65ede04a56.pdf Salh, Adeeb and Audah, Lukman and Abdullah, Qazwan and M. Shah, Nor Shahida and A. Hamzah, Shipun and Nordin, Shahilah and Farah, Nabil (2021) Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems. Computers,Materials & Continua, 67 (3). pp. 3190-3214. https://doi.org/10.32604/cmc.2021.014746 |
| spellingShingle | TH7005-7699 Heating and ventilation. Air conditioning TJ163.26-163.5 Energy conservation Salh, Adeeb Audah, Lukman Abdullah, Qazwan M. Shah, Nor Shahida A. Hamzah, Shipun Nordin, Shahilah Farah, Nabil Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems |
| title | Energy-Efficient Low-Complexity Algorithm in 5G Massive
MIMO Systems |
| title_full | Energy-Efficient Low-Complexity Algorithm in 5G Massive
MIMO Systems |
| title_fullStr | Energy-Efficient Low-Complexity Algorithm in 5G Massive
MIMO Systems |
| title_full_unstemmed | Energy-Efficient Low-Complexity Algorithm in 5G Massive
MIMO Systems |
| title_short | Energy-Efficient Low-Complexity Algorithm in 5G Massive
MIMO Systems |
| title_sort | energy efficient low complexity algorithm in 5g massive mimo systems |
| topic | TH7005-7699 Heating and ventilation. Air conditioning TJ163.26-163.5 Energy conservation |
| url | http://eprints.uthm.edu.my/1759/1/J12122_4d7e86bcafe731d4b5da6b65ede04a56.pdf |
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