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

Simple item page
dc.citedby0
dc.contributor.authorPrajindra S.K.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorJohnny Koh S.P.en_US
dc.contributor.authorYap D.F.W.en_US
dc.contributor.authorid36053261400en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid22952562500en_US
dc.date.accessioned2023-12-29T07:54:43Z
dc.date.available2023-12-29T07:54:43Z
dc.date.issued2009
dc.description.abstractWCDMA 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.en_US
dc.description.natureFinalen_US
dc.identifier.epage282
dc.identifier.scopus2-s2.0-84923413356
dc.identifier.spage277
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84923413356&partnerID=40&md5=feecda48993ab11322a36f6e9583e5f3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30855
dc.pagecount5
dc.publisherOficyna Wydawnicza Politechniki Wroclawskiejen_US
dc.sourceScopus
dc.sourcetitleBROADBANDCOM 2009 - Selected Papers on Broadband Communication, Information Technology and Biomedical Applications
dc.subjectAdaptive Beam Forming
dc.subjectGenetic Algorithm
dc.subjectMicrocontroller
dc.subjectWCDMA
dc.subjectAlgorithms
dc.subjectAntennas
dc.subjectBeamforming
dc.subjectControllers
dc.subjectMedical applications
dc.subjectMicrocontrollers
dc.subjectMobile telecommunication systems
dc.subjectMultimedia services
dc.subjectOutages
dc.subjectQuality of service
dc.subjectRadio broadcasting
dc.subjectResource allocation
dc.subjectAdaptive beam-forming
dc.subjectBeamforming technique
dc.subjectDifferentiated quality of services
dc.subjectMicrocontroller boards
dc.subjectMicrocontroller systems
dc.subjectParallel genetic algorithms
dc.subjectPower resource managements
dc.subjectWCDMA
dc.subjectGenetic algorithms
dc.titleWCDMA teletraffic performance improvement via power resource optimization using distributed parallel genetic algorithmen_US
dc.typeConference paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS