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...

Full description

Bibliographic Details
Main Authors: A. Khan, J. S. Roy
Format: Article
Language:English
Published: Advanced Electromagnetics 2023-12-01
Series:Advanced Electromagnetics
Subjects:
Online Access:http://aemjournal.org/index.php/AEM/article/view/2303
_version_ 1797390684797272064
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.
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