Publication:
5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approaches

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dc.citedby3
dc.contributor.authorSamidi F.S.en_US
dc.contributor.authorRadzi N.A.M.en_US
dc.contributor.authorAhmad W.S.H.M.W.en_US
dc.contributor.authorAbdullah F.en_US
dc.contributor.authorJamaludin M.Z.en_US
dc.contributor.authorIsmail A.en_US
dc.contributor.authorid57215054855en_US
dc.contributor.authorid57218936786en_US
dc.contributor.authorid25928314500en_US
dc.contributor.authorid56613644500en_US
dc.contributor.authorid57216839721en_US
dc.contributor.authorid36023817800en_US
dc.date.accessioned2023-05-29T09:11:16Z
dc.date.available2023-05-29T09:11:16Z
dc.date.issued2021
dc.descriptionAntennas; Energy efficiency; Machine learning; Natural resources management; Network function virtualization; Radio communication; Radio transmission; Resource allocation; Time division multiplexing; Exponential increase; Interference management; Machine learning methods; Radio resource management; Resource management schemes; Rule based algorithms; Time division duplex; Transmission power; 5G mobile communication systemsen_US
dc.description.abstractThe Internet of Everything is currently in demand and has burdened the network tremendously. Accommodating this exponential increase in demand will require improved Radio Resource Management technology. This problem can be curbed with higher spectrum bands, reevaluation of Time Division Duplex, deployment of Software Defined Network, and Network Function Virtualization into 5G New Radio (NR) network. Therefore, this work aims to provide an in-depth survey on the recent resource management schemes that can be proposed for 5G NR enhancement by exploiting both rule-based algorithms and machine learning methods. Radio resource management consists of managing user allocation, the antenna transmission power, bandwidth, and modulation scheme. Therefore, in this paper, three categories of radio resource management technologies are introduced: resource allocation, energy efficiency, and interference management. The discussion revolves around their potentials and contributions as well as challenges faced to produce efficient 5G resource management schemes. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9512094
dc.identifier.doi10.1109/ACCESS.2021.3104277
dc.identifier.epage113865
dc.identifier.scopus2-s2.0-85113337420
dc.identifier.spage113850
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85113337420&doi=10.1109%2fACCESS.2021.3104277&partnerID=40&md5=5ca2905eb7b6b312cdaea358278f08d5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26502
dc.identifier.volume9
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.title5G New Radio: Dynamic Time Division Duplex Radio Resource Management Approachesen_US
dc.typeArticleen_US
dspace.entity.typePublication
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