Publication:
An Enhanced Dynamic Spectrum Allocation Method on Throughput Maximization in Urban 5G FBMC Heterogeneous Network

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dc.citedby0
dc.contributor.authorOthman N.I.en_US
dc.contributor.authorIsmail A.F.en_US
dc.contributor.authorBadron K.en_US
dc.contributor.authorHashim W.en_US
dc.contributor.authorHasan M.K.en_US
dc.contributor.authorPinardi S.en_US
dc.contributor.authorid56539462100en_US
dc.contributor.authorid36602773900en_US
dc.contributor.authorid35387519800en_US
dc.contributor.authorid11440260100en_US
dc.contributor.authorid55057479600en_US
dc.contributor.authorid58002803100en_US
dc.date.accessioned2024-10-14T03:19:04Z
dc.date.available2024-10-14T03:19:04Z
dc.date.issued2023
dc.description.abstractReports have shown that the demand for data managed by wireless systems is expected to grow by more than 500 exabytes by 2025 and beyond. 5G networks are predicted to meet these demands, provided that the spectrum resources are well managed. In this paper, an enhanced dynamic spectrum allocation (E-DSA) method is proposed, which incorporates a cooperative type of game theory called the Nash bargaining solution (NBS). It was assumed that there is one primary user (PU) and two secondary users (SU) in the network and their spectrum allocation was analyzed by testing the validity of the algorithm itself by using price weight factors to control the costs of the spectrum sharing. The solution was established by combining a proposed multiplexing method called the Filter Bank Multicarrier (FBMC) for 5G configuration, with the E-DSA algorithm to maximize the throughput of a heterogeneous 5G network. It was shown that the throughputs for 5G with E-DSA implementation were always higher than those of the ones without E-DSA. The simulation was done using the LabVIEW communication software and was analyzed based on a 5G urban macro and micro network configuration to validate the heterogeneity of the network. � 2023 Published by IRCS-ITB.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.5614/j.eng.technol.sci.2023.55.1.5
dc.identifier.epage51
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85153568079
dc.identifier.spage40
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85153568079&doi=10.5614%2fj.eng.technol.sci.2023.55.1.5&partnerID=40&md5=bdb068054c897c2a8634b67178742403
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34326
dc.identifier.volume55
dc.pagecount11
dc.publisherInstitute for Research and Community Services, Institut Teknologi Bandungen_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleJournal of Engineering and Technological Sciences
dc.subjectEnhanced Dynamic Spectrum Allocation (E-DSA)
dc.subjectFilter Bank Multicarrier (FBMC)
dc.subjectheterogeneous network
dc.subjectNash Bargaining Solution (NBS)
dc.subjectOffset Quadrature Amplitude Modulation (OQAM)
dc.subjectComputer software
dc.subjectFilter banks
dc.subjectGame theory
dc.subjectHeterogeneous networks
dc.subjectQuadrature amplitude modulation
dc.subjectQueueing networks
dc.subjectAllocation methods
dc.subjectDynamic spectrum allocations
dc.subjectEnhanced dynamic spectrum allocation
dc.subjectFilter bank multicarrier
dc.subjectFilter-bank multicarrier
dc.subjectNash bargaining solution
dc.subjectOffset quadrature amplitude modulation
dc.subjectOffset quadrature amplitude modulations
dc.subjectThroughput maximization
dc.subject5G mobile communication systems
dc.titleAn Enhanced Dynamic Spectrum Allocation Method on Throughput Maximization in Urban 5G FBMC Heterogeneous Networken_US
dc.typeArticleen_US
dspace.entity.typePublication
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