Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems
Massive MIMO (multiple-input multiple-output) is a multi-user MIMO technology that can provide high-speed multimedia services in 5G wireless networks using sub-6 GHz and millimeter wave bands. The massive MIMO (MMIMO) installs array antennas in the base stations, using hundreds of transceivers with...
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Format: | Article |
Language: | English |
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Advanced Electromagnetics
2023-12-01
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Series: | Advanced Electromagnetics |
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Online Access: | http://aemjournal.org/index.php/AEM/article/view/2303 |
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author | A. Khan J. S. Roy |
author_facet | A. Khan J. S. Roy |
author_sort | A. Khan |
collection | DOAJ |
description | Massive MIMO (multiple-input multiple-output) is a multi-user MIMO technology that can provide high-speed multimedia services in 5G wireless networks using sub-6 GHz and millimeter wave bands. The massive MIMO (MMIMO) installs array antennas in the base stations, using hundreds of transceivers with other RF modules. One of the drawbacks of the MMIMO system is its huge power consumption, and the beamforming network with RF modules for a large number of antennas is the main contributor to the power consumption. In this paper, a novel beamforming method is proposed for the low power consumption of an MMIMO system. The proposed thinned smart antenna (TSA) of a semi-circular array produces a secure beam toward the user’s terminal with reduced interference. By thinning the antenna array, some of the antenna elements are kept off, resulting in less power consumption, while the array pattern remains the same as a fully populated array with a reduced side lobe level (SLL). The sub-6 GHz band of 5 GHz is used for the design of thinned array antennas. The genetic algorithm (GA) is used to determine the array sequence in thinning, and the adaptive signal processing algorithms least mean square (LMS), recursive least square (RLS), and sample matrix inversion (SMI) are used for the beamforming of the TSA, and the corresponding algorithms are GA-LMS, GA-RLS, and GA-SMI. The power saving of 40% to 55% is achieved using TSA. The maximum SLL reductions of 13 dB, 12 dB, and 14 dB are achieved for TSA using GA-LMS, GA-RLS, and GA-SMI algorithms, respectively.
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first_indexed | 2024-03-08T23:20:52Z |
format | Article |
id | doaj.art-7381287b73834712aa8e48503374de3d |
institution | Directory Open Access Journal |
issn | 2119-0275 |
language | English |
last_indexed | 2024-03-08T23:20:52Z |
publishDate | 2023-12-01 |
publisher | Advanced Electromagnetics |
record_format | Article |
series | Advanced Electromagnetics |
spelling | doaj.art-7381287b73834712aa8e48503374de3d2023-12-15T04:00:04ZengAdvanced ElectromagneticsAdvanced Electromagnetics2119-02752023-12-01124Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO SystemsA. Khan0J. S. Roy1Kalinga Institute of Industrial Technology (KIIT)Kalinga Institute of Industrial Technology (KIIT) Massive MIMO (multiple-input multiple-output) is a multi-user MIMO technology that can provide high-speed multimedia services in 5G wireless networks using sub-6 GHz and millimeter wave bands. The massive MIMO (MMIMO) installs array antennas in the base stations, using hundreds of transceivers with other RF modules. One of the drawbacks of the MMIMO system is its huge power consumption, and the beamforming network with RF modules for a large number of antennas is the main contributor to the power consumption. In this paper, a novel beamforming method is proposed for the low power consumption of an MMIMO system. The proposed thinned smart antenna (TSA) of a semi-circular array produces a secure beam toward the user’s terminal with reduced interference. By thinning the antenna array, some of the antenna elements are kept off, resulting in less power consumption, while the array pattern remains the same as a fully populated array with a reduced side lobe level (SLL). The sub-6 GHz band of 5 GHz is used for the design of thinned array antennas. The genetic algorithm (GA) is used to determine the array sequence in thinning, and the adaptive signal processing algorithms least mean square (LMS), recursive least square (RLS), and sample matrix inversion (SMI) are used for the beamforming of the TSA, and the corresponding algorithms are GA-LMS, GA-RLS, and GA-SMI. The power saving of 40% to 55% is achieved using TSA. The maximum SLL reductions of 13 dB, 12 dB, and 14 dB are achieved for TSA using GA-LMS, GA-RLS, and GA-SMI algorithms, respectively. http://aemjournal.org/index.php/AEM/article/view/2303Smart antennaantenna array thinningbeamformingadaptive signal processinggenetic algorithmpower consumption |
spellingShingle | A. Khan J. S. Roy Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems Advanced Electromagnetics Smart antenna antenna array thinning beamforming adaptive signal processing genetic algorithm power consumption |
title | Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems |
title_full | Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems |
title_fullStr | Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems |
title_full_unstemmed | Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems |
title_short | Thinned Smart Antenna of a Semi-circular Dipole Array for Massive MIMO Systems |
title_sort | thinned smart antenna of a semi circular dipole array for massive mimo systems |
topic | Smart antenna antenna array thinning beamforming adaptive signal processing genetic algorithm power consumption |
url | http://aemjournal.org/index.php/AEM/article/view/2303 |
work_keys_str_mv | AT akhan thinnedsmartantennaofasemicirculardipolearrayformassivemimosystems AT jsroy thinnedsmartantennaofasemicirculardipolearrayformassivemimosystems |