Coverage performance analysis of genetic algorithm controlled smart antenna system

In this paper, an innovative type of smart antenna based on genetic algorithm (GA) has been developed and tested. The new GA embedded solution simplifies the control of smart antenna system with increment of the accuracy of beam coverage and decrement of beam availability in compare with the convent...

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Main Authors: Badjian M.M., Thirappa K., Kiong T.S., Paw J.K.S., Krishnan P.S.
Other Authors: 26967475500
Format: Conference paper
Published: 2023
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spelling my.uniten.dspace-305962023-12-29T15:50:02Z Coverage performance analysis of genetic algorithm controlled smart antenna system Badjian M.M. Thirappa K. Kiong T.S. Paw J.K.S. Krishnan P.S. 26967475500 36994806700 15128307800 22951210700 36053261400 Beam availability Beam forming Beam steering Component Genetic algorithm Smart antenna Engineering research Global system for mobile communications Innovation Interference suppression Mobile antennas Smart antennas Beam availability Beam formation Beam-steering Component Embedded control systems Mobile users Performance analysis Power usage Radio frequency power Smart antenna systems Genetic algorithms In this paper, an innovative type of smart antenna based on genetic algorithm (GA) has been developed and tested. The new GA embedded solution simplifies the control of smart antenna system with increment of the accuracy of beam coverage and decrement of beam availability in compare with the conventional switch beam smart antenna. Scanning antenna of the system determined the location of mobile users through its band passed radio frequency power detector circuitry. GA then operates to optimize and steer the coverage beams to cater for dynamic users' distribution with minimum power usage. The experiment with GA embedded control system smart antenna shows good result in beam formation and steering to handle mobile users. �2010 IEEE. Final 2023-12-29T07:50:01Z 2023-12-29T07:50:01Z 2010 Conference paper 10.1109/SCORED.2010.5703976 2-s2.0-79951994727 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79951994727&doi=10.1109%2fSCORED.2010.5703976&partnerID=40&md5=c6207d7f57376e2111f4649bf21bd043 https://irepository.uniten.edu.my/handle/123456789/30596 5703976 81 85 Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
topic Beam availability
Beam forming
Beam steering
Component
Genetic algorithm
Smart antenna
Engineering research
Global system for mobile communications
Innovation
Interference suppression
Mobile antennas
Smart antennas
Beam availability
Beam formation
Beam-steering
Component
Embedded control systems
Mobile users
Performance analysis
Power usage
Radio frequency power
Smart antenna systems
Genetic algorithms
spellingShingle Beam availability
Beam forming
Beam steering
Component
Genetic algorithm
Smart antenna
Engineering research
Global system for mobile communications
Innovation
Interference suppression
Mobile antennas
Smart antennas
Beam availability
Beam formation
Beam-steering
Component
Embedded control systems
Mobile users
Performance analysis
Power usage
Radio frequency power
Smart antenna systems
Genetic algorithms
Badjian M.M.
Thirappa K.
Kiong T.S.
Paw J.K.S.
Krishnan P.S.
Coverage performance analysis of genetic algorithm controlled smart antenna system
description In this paper, an innovative type of smart antenna based on genetic algorithm (GA) has been developed and tested. The new GA embedded solution simplifies the control of smart antenna system with increment of the accuracy of beam coverage and decrement of beam availability in compare with the conventional switch beam smart antenna. Scanning antenna of the system determined the location of mobile users through its band passed radio frequency power detector circuitry. GA then operates to optimize and steer the coverage beams to cater for dynamic users' distribution with minimum power usage. The experiment with GA embedded control system smart antenna shows good result in beam formation and steering to handle mobile users. �2010 IEEE.
author2 26967475500
author_facet 26967475500
Badjian M.M.
Thirappa K.
Kiong T.S.
Paw J.K.S.
Krishnan P.S.
format Conference paper
author Badjian M.M.
Thirappa K.
Kiong T.S.
Paw J.K.S.
Krishnan P.S.
author_sort Badjian M.M.
title Coverage performance analysis of genetic algorithm controlled smart antenna system
title_short Coverage performance analysis of genetic algorithm controlled smart antenna system
title_full Coverage performance analysis of genetic algorithm controlled smart antenna system
title_fullStr Coverage performance analysis of genetic algorithm controlled smart antenna system
title_full_unstemmed Coverage performance analysis of genetic algorithm controlled smart antenna system
title_sort coverage performance analysis of genetic algorithm controlled smart antenna system
publishDate 2023
_version_ 1806424561481154560
score 13.222552