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Hybrid artificial intelligent algorithm for call admission control in WCDMA mobile network

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dc.citedby0
dc.contributor.authorTee Y.K.en_US
dc.contributor.authorTiong S.K.en_US
dc.contributor.authorJohnny K.S.P.en_US
dc.contributor.authorYeoh E.C.en_US
dc.contributor.authorid55031013900en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid22951210700en_US
dc.contributor.authorid57213783399en_US
dc.date.accessioned2023-12-28T07:41:44Z
dc.date.available2023-12-28T07:41:44Z
dc.date.issued2008
dc.description.abstractIn wideband code division multiple access (WCDMA) mobile network, total transmission power of Node B depends on diverse factors such as accommodation of new service request, termination of active user equipment (UE) and movement of UE. This makes power prediction a complicated task. In this paper, support vector regression (SVR) has been implemented successfully to forecast next interval power consumption at Node B with different type of antenna system. The predicted output is used by WCDMA mobile network to make decision on new service request admission. Genetic algorithm is then applied to form beams with minimum power to cover all UEs in a macro cell. The proposed algorithm, support vector regression assists genetic algorithm (SVRaGA) was tested in a dynamic WCDMA mobile network simulator. Simulation results have shown SVR can predict next cycle power usage at Node B with excellent accuracy and improve the quality of service (QoS) by minimizing dropped calls in the system. � 2008 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo4814303
dc.identifier.doi10.1109/NCTT.2008.4814303
dc.identifier.epage366
dc.identifier.scopus2-s2.0-67650254599
dc.identifier.spage362
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-67650254599&doi=10.1109%2fNCTT.2008.4814303&partnerID=40&md5=81f89133d2d6aa674941eef84bbc45b4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29709
dc.pagecount4
dc.sourceScopus
dc.sourcetitleProceedings of IEEE 2008 6th National Conference on Telecommunication Technologies and IEEE 2008 2nd Malaysia Conference on Photonics, NCTT-MCP 2008
dc.subjectAlgorithms
dc.subjectCell membranes
dc.subjectElectric load forecasting
dc.subjectImage storage tubes
dc.subjectQuality of service
dc.subjectWireless telecommunication systems
dc.subjectAntenna system
dc.subjectArtificial intelligent
dc.subjectCall admission control
dc.subjectMacro cells
dc.subjectMobile networks
dc.subjectNew services
dc.subjectPower Consumption
dc.subjectPower usage
dc.subjectSimulation result
dc.subjectSupport vector regressions
dc.subjectTotal transmission
dc.subjectUser equipments
dc.subjectWideband code division multiple access
dc.subjectWireless networks
dc.titleHybrid artificial intelligent algorithm for call admission control in WCDMA mobile networken_US
dc.typeConference paperen_US
dspace.entity.typePublication
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