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WCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming technique

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dc.citedby12
dc.contributor.authorKiong T.S.en_US
dc.contributor.authorIsmail M.en_US
dc.contributor.authorHassan A.en_US
dc.contributor.authorid15128307800en_US
dc.contributor.authorid7401908770en_US
dc.contributor.authorid57226304105en_US
dc.date.accessioned2023-12-28T08:08:43Z
dc.date.available2023-12-28T08:08:43Z
dc.date.issued2006
dc.description.abstractCapacity has always been an issue to any generation of mobile communication technologies as it is always inversely proportionate to QoS (quality of service) in nature. In order to increase the mobile communication system capacity without jeopardizing the system QoS, smart antenna is usually being suggested. There are two major types of smart antenna systems; switch beam antenna and adaptive beam antenna. Adaptive antenna which has dynamic beam is better in improving the system capacity but requires more advance beam forming algorithm and requires intensive processing power. In this paper, a novel adaptive downlink beam forming technique for WCDMA system namely Minimum Downlink Power Consumption (MDPC) is introduced. This MDPC beamforming technique is assisted by Genetic Algorithm (GA) to minimize the downlink power usage at Node B. A dynamic radio network simulator was developed in Visual C++� to study the power consumption at Node B and estimate the downlink capacity improvement by implementing this novel algorithm. Simulation was done based on single micro cell environment with considering interference from the first tier. User mobility is taken into account to provide a combined evaluation of Radio Resource Management (RRM). Capacity system under various simulation scenarios was expressed in downlink outage in this study. � 2006 Asian Network for Scientific Information.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3923/jas.2006.1766.1773
dc.identifier.epage1773
dc.identifier.issue8
dc.identifier.scopus2-s2.0-33749633158
dc.identifier.spage1766
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-33749633158&doi=10.3923%2fjas.2006.1766.1773&partnerID=40&md5=d3c9117483f6d9861e80552d8742d87e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29752
dc.identifier.volume6
dc.pagecount7
dc.sourceScopus
dc.sourcetitleJournal of Applied Sciences
dc.subjectAdaptive antenna
dc.subjectCapacity
dc.subjectGenetic algorithm
dc.subjectWCDMA
dc.subjectBeamforming
dc.subjectGenetic algorithms
dc.subjectMobile telecommunication systems
dc.subjectQuality of service
dc.subjectRadio broadcasting
dc.subjectSmart antennas
dc.subjectAdaptive antenna
dc.subjectBeamforming algorithms
dc.subjectCapacity
dc.subjectMobile communication technology
dc.subjectQoS (quality of service)
dc.subjectRadio resource management
dc.subjectSmart antenna systems
dc.subjectWCDMA
dc.subjectAntennas
dc.titleWCDMA forward link capacity improvement by using adaptive antenna with genetic algorithm assisted MDPC beamforming techniqueen_US
dc.typeArticleen_US
dspace.entity.typePublication
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