Design of Smart Antenna for 5G Network Using Array Synthesis Methods and Leaky LMS Algorithm

5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding internet access, the beam can be steered in that...

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Published inWireless personal communications Vol. 129; no. 4; pp. 2829 - 2841
Main Authors Senapati, Anupama, Patro, B. S., Roy, Jibendu Sekhar
Format Journal Article
LanguageEnglish
Published New York Springer US 01.04.2023
Springer Nature B.V
Subjects
Online AccessGet full text
ISSN0929-6212
1572-834X
DOI10.1007/s11277-023-10260-3

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Abstract 5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. The smart antenna is a pivotal technology for modern cellular communication. It helps the user’s signal to determine the direction of arrival It also estimates antenna arrays using an adaptive signal processing algorithm that produces a radiation beam for communication. This work presents beamforming for uniform linear smart antenna array using leaky least mean square algorithm and side lobe level reduction using array synthesis methods like Tchebycheff and Taylor distribution. Multiple interferers are considered for the smart antenna. Here, one of the aims is to reduce side lobe levels nearer to the main beam which can enhance more efficient frequency reuse in a cellular network. Side lobe level is reduced up to about 16 dB that enacted for signal-to-noise ratio to 20 dB.
AbstractList 5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. The smart antenna is a pivotal technology for modern cellular communication. It helps the user’s signal to determine the direction of arrival It also estimates antenna arrays using an adaptive signal processing algorithm that produces a radiation beam for communication. This work presents beamforming for uniform linear smart antenna array using leaky least mean square algorithm and side lobe level reduction using array synthesis methods like Tchebycheff and Taylor distribution. Multiple interferers are considered for the smart antenna. Here, one of the aims is to reduce side lobe levels nearer to the main beam which can enhance more efficient frequency reuse in a cellular network. Side lobe level is reduced up to about 16 dB that enacted for signal-to-noise ratio to 20 dB.
5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network along with the least possible latency rate. Depending upon the direction of the user demanding internet access, the beam can be steered in that direction. Meanwhile, the occurrence of side lobes in such systems can be menacing. The smart antenna is a pivotal technology for modern cellular communication. It helps the user’s signal to determine the direction of arrival It also estimates antenna arrays using an adaptive signal processing algorithm that produces a radiation beam for communication. This work presents beamforming for uniform linear smart antenna array using leaky least mean square algorithm and side lobe level reduction using array synthesis methods like Tchebycheff and Taylor distribution. Multiple interferers are considered for the smart antenna. Here, one of the aims is to reduce side lobe levels nearer to the main beam which can enhance more efficient frequency reuse in a cellular network. Side lobe level is reduced up to about 16 dB that enacted for signal-to-noise ratio to 20 dB.
Author Patro, B. S.
Roy, Jibendu Sekhar
Senapati, Anupama
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Cites_doi 10.1109/MAP.2002.1039395
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The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
Copyright_xml – notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
– notice: The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023.
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Keywords Side lobe level
Tchebycheff distribution
Beamforming
Leaky least mean square
Smart antenna
Taylor distribution
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Snippet 5G antenna arrays are being designed to generate a dedicated stream of data for every single user. This results in more capacity and speed over the network...
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SubjectTerms 5G mobile communication
Adaptive algorithms
Algorithms
Antenna arrays
Antenna design
Antennas
Arrays
Beamforming
Cellular communication
Communications Engineering
Computer Communication Networks
Direction of arrival
Engineering
Frequency reuse
Network latency
Networks
Noise levels
Parameter estimation
Radiation
Sidelobe reduction
Sidelobes
Signal processing
Signal to noise ratio
Signal,Image and Speech Processing
Synthesis
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Title Design of Smart Antenna for 5G Network Using Array Synthesis Methods and Leaky LMS Algorithm
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