New Compact Antenna Array for MIMO Internet of Things Applications

A communication system is proposed for the Internet of Things (IoT) applications in desert areas with extended coverage of regional area network requirements. The system implements a developed six-element array that operates at a 2.45 GHz frequency band and is optimized to reduce the size and limit...

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Main Authors: Wazie M. Abdulkawi, Mohammed A. Alqaisei, Abdel-Fattah A. Sheta, Ibrahim Elshafiey
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Micromachines
Subjects:
Online Access:https://www.mdpi.com/2072-666X/13/9/1481
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author Wazie M. Abdulkawi
Mohammed A. Alqaisei
Abdel-Fattah A. Sheta
Ibrahim Elshafiey
author_facet Wazie M. Abdulkawi
Mohammed A. Alqaisei
Abdel-Fattah A. Sheta
Ibrahim Elshafiey
author_sort Wazie M. Abdulkawi
collection DOAJ
description A communication system is proposed for the Internet of Things (IoT) applications in desert areas with extended coverage of regional area network requirements. The system implements a developed six-element array that operates at a 2.45 GHz frequency band and is optimized to reduce the size and limit element coupling to less than −20 dB. Analysis of the proposed system involves a multiple-input multiple-output (MIMO) operation to obtain the diversity gain and spectral efficiency. In addition, the radiation efficiency of the proposed antenna is greater than 65% in the operation bandwidth (more than 30 MHz) with a peak of 73% at 2.45 GHz. Moreover, an adaptive beamforming system is presented based on monitoring the direction of arrival (DOA) of various signals using the root MUSIC algorithm and utilizing the DOA data in a minimum variance distortionless response (MVDR) technique beamformer. The developed array is found to have an envelope correlation coefficient (ECC) value of less than 0.013, mean effective gain (MEG) of more than 1 dB, diversity gain of more than 9.9 dB, and channel capacity loss (CCL) of less than 0.4 bits/s/Hz over the operation bandwidth. Adaptive beamforming is used to suppress interference and enhance the signal-to-interference noise ratio (SINR) and is found to achieve a data rate of more than 50 kbps for a coverage distance of up to 100 km with limited power signals.
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spelling doaj.art-21385cfa150145cb809cbf99757aa0af2023-11-23T17:50:14ZengMDPI AGMicromachines2072-666X2022-09-01139148110.3390/mi13091481New Compact Antenna Array for MIMO Internet of Things ApplicationsWazie M. Abdulkawi0Mohammed A. Alqaisei1Abdel-Fattah A. Sheta2Ibrahim Elshafiey3Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaElectrical Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaElectrical Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaElectrical Engineering Department, King Saud University, Riyadh 11421, Saudi ArabiaA communication system is proposed for the Internet of Things (IoT) applications in desert areas with extended coverage of regional area network requirements. The system implements a developed six-element array that operates at a 2.45 GHz frequency band and is optimized to reduce the size and limit element coupling to less than −20 dB. Analysis of the proposed system involves a multiple-input multiple-output (MIMO) operation to obtain the diversity gain and spectral efficiency. In addition, the radiation efficiency of the proposed antenna is greater than 65% in the operation bandwidth (more than 30 MHz) with a peak of 73% at 2.45 GHz. Moreover, an adaptive beamforming system is presented based on monitoring the direction of arrival (DOA) of various signals using the root MUSIC algorithm and utilizing the DOA data in a minimum variance distortionless response (MVDR) technique beamformer. The developed array is found to have an envelope correlation coefficient (ECC) value of less than 0.013, mean effective gain (MEG) of more than 1 dB, diversity gain of more than 9.9 dB, and channel capacity loss (CCL) of less than 0.4 bits/s/Hz over the operation bandwidth. Adaptive beamforming is used to suppress interference and enhance the signal-to-interference noise ratio (SINR) and is found to achieve a data rate of more than 50 kbps for a coverage distance of up to 100 km with limited power signals.https://www.mdpi.com/2072-666X/13/9/1481Internet of Things (IoT)regional area networkmultiple-input multiple-output (MIMO) antennachannel capacity loss (CCL)MVDR beamformingDOA estimation
spellingShingle Wazie M. Abdulkawi
Mohammed A. Alqaisei
Abdel-Fattah A. Sheta
Ibrahim Elshafiey
New Compact Antenna Array for MIMO Internet of Things Applications
Micromachines
Internet of Things (IoT)
regional area network
multiple-input multiple-output (MIMO) antenna
channel capacity loss (CCL)
MVDR beamforming
DOA estimation
title New Compact Antenna Array for MIMO Internet of Things Applications
title_full New Compact Antenna Array for MIMO Internet of Things Applications
title_fullStr New Compact Antenna Array for MIMO Internet of Things Applications
title_full_unstemmed New Compact Antenna Array for MIMO Internet of Things Applications
title_short New Compact Antenna Array for MIMO Internet of Things Applications
title_sort new compact antenna array for mimo internet of things applications
topic Internet of Things (IoT)
regional area network
multiple-input multiple-output (MIMO) antenna
channel capacity loss (CCL)
MVDR beamforming
DOA estimation
url https://www.mdpi.com/2072-666X/13/9/1481
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