Energy-Efficient Low-Complexity Algorithm in 5G Massive MIMO Systems

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.

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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.

Item Type: Article
Uncontrolled Keywords: Massive MIMO; energy efficiency; base station; active users; pilot contamination; low-complexity algorithm; radio frequency
Subjects: T Technology > TH Building construction > TH7005-7699 Heating and ventilation. Air conditioning
T Technology > TJ Mechanical engineering and machinery > TJ163.26-163.5 Energy conservation
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Enngineering
Depositing User: Mr. Abdul Rahim Mat Radzuan
Date Deposited: 18 Oct 2021 02:49
Last Modified: 18 Oct 2021 02:49

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