WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm

WCDMA mobile communication systems provide enhanced high-speed data, multimedia, and voice services to mobile users. The integration of such heterogeneous traffic types implies that the network must provide differentiated Quality of Service (QoS). Beam forming techniques have been proposed to increa...

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Main Authors: Prajindra S.K., Tiong S.K., Johnny Koh S.P., Yap D.F.W.
Other Authors: 36053261400
Format: Conference paper
Published: Oficyna Wydawnicza Politechniki Wroclawskiej 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-308552023-12-29T15:54:43Z WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm Prajindra S.K. Tiong S.K. Johnny Koh S.P. Yap D.F.W. 36053261400 15128307800 22951210700 22952562500 Adaptive Beam Forming Genetic Algorithm Microcontroller WCDMA Algorithms Antennas Beamforming Controllers Medical applications Microcontrollers Mobile telecommunication systems Multimedia services Outages Quality of service Radio broadcasting Resource allocation Adaptive beam-forming Beamforming technique Differentiated quality of services Microcontroller boards Microcontroller systems Parallel genetic algorithms Power resource managements WCDMA Genetic algorithms WCDMA mobile communication systems provide enhanced high-speed data, multimedia, and voice services to mobile users. The integration of such heterogeneous traffic types implies that the network must provide differentiated Quality of Service (QoS). Beam forming techniques have been proposed to increase the spectral efficiency of the wireless channel. In this work, a new microcontroller board was designed and developed with Genetic Algorithm (GA) embedded on board. The embedded GA optimization scheme was based on minimum downlink power consumption tailored for a WCDMA network that employs adaptive antennas in support of a heterogeneous user mix. The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. The power usage at Node B is used as fitness function to compare the performance of DPGA and conventional GA (cGA). Simulation results show that DPGA converges faster and is superior in power resource management and returns better teletraffic performance in system outage and capacity. Final 2023-12-29T07:54:43Z 2023-12-29T07:54:43Z 2009 Conference paper 2-s2.0-84923413356 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923413356&partnerID=40&md5=feecda48993ab11322a36f6e9583e5f3 https://irepository.uniten.edu.my/handle/123456789/30855 277 282 Oficyna Wydawnicza Politechniki Wroclawskiej 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 Beam Forming
Genetic Algorithm
Microcontroller
WCDMA
Algorithms
Antennas
Beamforming
Controllers
Medical applications
Microcontrollers
Mobile telecommunication systems
Multimedia services
Outages
Quality of service
Radio broadcasting
Resource allocation
Adaptive beam-forming
Beamforming technique
Differentiated quality of services
Microcontroller boards
Microcontroller systems
Parallel genetic algorithms
Power resource managements
WCDMA
Genetic algorithms
spellingShingle Adaptive Beam Forming
Genetic Algorithm
Microcontroller
WCDMA
Algorithms
Antennas
Beamforming
Controllers
Medical applications
Microcontrollers
Mobile telecommunication systems
Multimedia services
Outages
Quality of service
Radio broadcasting
Resource allocation
Adaptive beam-forming
Beamforming technique
Differentiated quality of services
Microcontroller boards
Microcontroller systems
Parallel genetic algorithms
Power resource managements
WCDMA
Genetic algorithms
Prajindra S.K.
Tiong S.K.
Johnny Koh S.P.
Yap D.F.W.
WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
description WCDMA mobile communication systems provide enhanced high-speed data, multimedia, and voice services to mobile users. The integration of such heterogeneous traffic types implies that the network must provide differentiated Quality of Service (QoS). Beam forming techniques have been proposed to increase the spectral efficiency of the wireless channel. In this work, a new microcontroller board was designed and developed with Genetic Algorithm (GA) embedded on board. The embedded GA optimization scheme was based on minimum downlink power consumption tailored for a WCDMA network that employs adaptive antennas in support of a heterogeneous user mix. The algorithm works by finding the minimum transmitter power with the help of Distributed Parallel Genetic Algorithm (DPGA) employed on an offload microcontroller system to form optimal beam coverage to reduce power usage of adaptive antenna at WCDMA base station. The power usage at Node B is used as fitness function to compare the performance of DPGA and conventional GA (cGA). Simulation results show that DPGA converges faster and is superior in power resource management and returns better teletraffic performance in system outage and capacity.
author2 36053261400
author_facet 36053261400
Prajindra S.K.
Tiong S.K.
Johnny Koh S.P.
Yap D.F.W.
format Conference paper
author Prajindra S.K.
Tiong S.K.
Johnny Koh S.P.
Yap D.F.W.
author_sort Prajindra S.K.
title WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
title_short WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
title_full WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
title_fullStr WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
title_full_unstemmed WCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
title_sort wcdma teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithm
publisher Oficyna Wydawnicza Politechniki Wroclawskiej
publishDate 2023
_version_ 1806425682407849984