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Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization

This paper presents a tested research concept that implements a complex evolutionary algorithm, genetic algorithm (GA), in a multi-microcontroller environment. Parallel Distributed Genetic Algorithm (PDGA) is employed in adaptive beam forming technique to reduce power usage of adaptive antenna at WC...

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Main Authors: Sankar K.P., Tiong S.K., Koh S.P.J.
Other Authors: 36053261400
Format: Article
Published: 2023
Subjects:
Adaptive antenna
Genetic Algorithm
Microcontroller
Power optimization
Adaptive algorithms
Antennas
Base stations
Controllers
Digital to analog conversion
Genetic algorithms
Interference suppression
Optimization
Parallel algorithms
Transmitters
Adaptive beam-forming
Base station transmitters
Beamforming algorithms
Distributed genetic algorithms
Memory space
Microcontroller systems
Multi processor systems
PIC microcontrollers
Power usage
Small scale
Transmitted power
Transmitter power
Microcontrollers
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id my.uniten.dspace-30922
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spelling my.uniten.dspace-309222023-12-29T15:55:58Z Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization Sankar K.P. Tiong S.K. Koh S.P.J. 36053261400 15128307800 22951210700 Adaptive antenna Genetic Algorithm Microcontroller Power optimization Adaptive algorithms Antennas Base stations Controllers Digital to analog conversion Genetic algorithms Interference suppression Optimization Parallel algorithms Transmitters Adaptive antenna Adaptive beam-forming Base station transmitters Beamforming algorithms Distributed genetic algorithms Memory space Microcontroller systems Multi processor systems PIC microcontrollers Power optimization Power usage Small scale Transmitted power Transmitter power Microcontrollers This paper presents a tested research concept that implements a complex evolutionary algorithm, genetic algorithm (GA), in a multi-microcontroller environment. Parallel Distributed Genetic Algorithm (PDGA) is employed in adaptive beam forming technique to reduce power usage of adaptive antenna at WCDMA base station. Adaptive antenna has dynamic beam that requires more advanced beam forming algorithm such as genetic algorithm which requires heavy computation and memory space. Microcontrollers are low resource platforms that are normally not associated with GAs, which are typically resource intensive. The aim of this project was to design a cooperative multiprocessor system by expanding the role of small scale PIC microcontrollers to optimize WCDMA base station transmitter power. Implementation results have shown that PDGA multi-microcontroller system returned optimal transmitted power compared to conventional GA. � 2009 WASET.ORG. Final 2023-12-29T07:55:58Z 2023-12-29T07:55:58Z 2009 Article 2-s2.0-78651523544 https://www.scopus.com/inward/record.uri?eid=2-s2.0-78651523544&partnerID=40&md5=a1183b6ae229a958f3d2c15b08a9416f https://irepository.uniten.edu.my/handle/123456789/30922 38 612 616 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 Adaptive antenna
Genetic Algorithm
Microcontroller
Power optimization
Adaptive algorithms
Antennas
Base stations
Controllers
Digital to analog conversion
Genetic algorithms
Interference suppression
Optimization
Parallel algorithms
Transmitters
Adaptive antenna
Adaptive beam-forming
Base station transmitters
Beamforming algorithms
Distributed genetic algorithms
Memory space
Microcontroller systems
Multi processor systems
PIC microcontrollers
Power optimization
Power usage
Small scale
Transmitted power
Transmitter power
Microcontrollers
spellingShingle Adaptive antenna
Genetic Algorithm
Microcontroller
Power optimization
Adaptive algorithms
Antennas
Base stations
Controllers
Digital to analog conversion
Genetic algorithms
Interference suppression
Optimization
Parallel algorithms
Transmitters
Adaptive antenna
Adaptive beam-forming
Base station transmitters
Beamforming algorithms
Distributed genetic algorithms
Memory space
Microcontroller systems
Multi processor systems
PIC microcontrollers
Power optimization
Power usage
Small scale
Transmitted power
Transmitter power
Microcontrollers
Sankar K.P.
Tiong S.K.
Koh S.P.J.
Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
description This paper presents a tested research concept that implements a complex evolutionary algorithm, genetic algorithm (GA), in a multi-microcontroller environment. Parallel Distributed Genetic Algorithm (PDGA) is employed in adaptive beam forming technique to reduce power usage of adaptive antenna at WCDMA base station. Adaptive antenna has dynamic beam that requires more advanced beam forming algorithm such as genetic algorithm which requires heavy computation and memory space. Microcontrollers are low resource platforms that are normally not associated with GAs, which are typically resource intensive. The aim of this project was to design a cooperative multiprocessor system by expanding the role of small scale PIC microcontrollers to optimize WCDMA base station transmitter power. Implementation results have shown that PDGA multi-microcontroller system returned optimal transmitted power compared to conventional GA. � 2009 WASET.ORG.
author2 36053261400
author_facet 36053261400
Sankar K.P.
Tiong S.K.
Koh S.P.J.
format Article
author Sankar K.P.
Tiong S.K.
Koh S.P.J.
author_sort Sankar K.P.
title Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
title_short Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
title_full Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
title_fullStr Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
title_full_unstemmed Parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
title_sort parallel distributed computational microcontroller system for adaptive antenna downlink transmitter power optimization
publishDate 2023
_version_ 1806428453495373824
score 13.222552

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