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Adaptive spectrum allocation for 5G wireless communication scenarios

2020Conference object Restricted access
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dc.contributor.authorCorreia, Noélia
dc.contributor.authorAl-Tam, Faroq
dc.contributor.authorRodriguez, J.
dc.date.accessioned2021-06-24T11:36:03Z
dc.date.available2021-06-24T11:36:03Z
dc.date.issued2020
dc.description.abstract5G resources should be properly planned for users to have a good quality of service. This planning includes defining the most suitable numerology indexes and best spectrum allocation considering the requirements of current traffic, which may change over time. Furthermore, when accounting for changes in traffic pattern, any necessary reconfigurations should be minimized. Here in this article, an optimization model is developed for the planning of spectrum allocation to the best mix numerology. The model considers adapting the operating numerology mix according to the current presence (or not) of traffic requirements. The model also works under any wireless communication scenario in 5G, and under any traffic pattern.
dc.description.sponsorshipPOCI-01-0145-FEDER030500
dc.description.versioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1109/CAMAD50429.2020.9209267
dc.identifier.isbn978-1-7281-6339-0
dc.identifier.issn2378-4865
dc.identifier.urihttp://hdl.handle.net/10400.1/16613
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationCenter for Electronics, Optoelectronics and Telecommunications
dc.relation.ispartofseriesIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectWireless communication
dc.subject5G
dc.subjectSpectrum allocation
dc.subjectMathematical optimization
dc.subject.otherComputer Science; Telecommunications
dc.titleAdaptive spectrum allocation for 5G wireless communication scenarios
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleCenter for Electronics, Optoelectronics and Telecommunications
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00631%2F2020/PT
oaire.citation.conferencePlacePisa, Italy
oaire.citation.title2020 Ieee 25Th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (Camad)
oaire.citation.title25Th Ieee International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (Ieee Camad)
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCorreia
person.familyNameAl-Tam
person.givenNameNoélia
person.givenNameFaroq
person.identifierR-000-DJV
person.identifierR-00G-A33
person.identifier.ciencia-idDD19-1F35-B804
person.identifier.ciencia-id2515-AFE3-525F
person.identifier.orcid0000-0001-7051-7193
person.identifier.orcid0000-0001-9718-2039
person.identifier.ridM-3554-2013
person.identifier.ridK-7031-2016
person.identifier.scopus-author-id8411596100
person.identifier.scopus-author-id55246034700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccess
rcaap.typeconferenceObject
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