Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/31152
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dc.contributor.authorMarzouk, Fatmapt_PT
dc.contributor.authorBarraca, João Paulopt_PT
dc.contributor.authorRadwan, Aymanpt_PT
dc.date.accessioned2021-04-09T11:32:57Z-
dc.date.available2021-04-09T11:32:57Z-
dc.date.issued2020-08-21-
dc.identifier.issn1553-877Xpt_PT
dc.identifier.urihttp://hdl.handle.net/10773/31152-
dc.description.abstractAn expansion of services and unprecedented traffic growth is anticipated in future networks, aligned with the adoption of the long-awaited Fifth Generation (5G) of mobile communications. To support this demand, without exposing mobile operators to the pressure of CAPEX and OPEX, 5G uses new frequency bands, and adopts promising trends, including: densification, softwarization, and autonomous management. While the first technology is proposed to handle the traffic growth requirements, the softwarization and autonomous management are expected to play, in synergy, to ensure the desired trade-off between reducing the CAPEX and OPEX, while guaranteeing the quality of service (QoS). Softwarization is expected to transform the network design, from one size fits all, to more demand oriented adaptive resource allocation. In this work, we focus on this point, by discussing how these technologies act in synergy towards enabling RAN sharing. Particularly, we focus on how they fit into the issue of energy efficient Multi-Operator Resource Allocation (MO-RA). After a survey and classification of schemes leveraging this synergy for distinct resource allocation (RA) objectives, we present a detailed survey and qualitative classification of RA schemes with respect to energy efficiency. This work presents an innovative survey, since it concentrates on multiple operators, and the enabling of Mobile Virtual Network Operators (MVNOs), which will come into play with the complete virtualization of mobile networks. Based on the deep literature analysis of the different operations that can bring energy savings to MO-RA, we conclude the work with listing open challenges and future research directions.pt_PT
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation5G-AHEAD IF/FCT-IF/01393/2015/CP1310/CT0002pt_PT
dc.relationUIDB/50008/2020-UIDP/50008/2020pt_PT
dc.relationH2020-MSCA-ITN-2016 SECRET-722424pt_PT
dc.rightsrestrictedAccesspt_PT
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectMLpt_PT
dc.subjectNFVpt_PT
dc.subjectQoSpt_PT
dc.subjectResource allocationpt_PT
dc.subjectSDNpt_PT
dc.subjectSDRpt_PT
dc.subjectSONpt_PT
dc.subjectV-RAN sharingpt_PT
dc.titleOn energy efficient resource allocation in shared RANs: survey and qualitative analysispt_PT
dc.typearticlept_PT
dc.description.versionpublishedpt_PT
dc.peerreviewedyespt_PT
degois.publication.firstPage1515pt_PT
degois.publication.issue3pt_PT
degois.publication.lastPage1538pt_PT
degois.publication.titleIEEE Communications Surveys & Tutorialspt_PT
degois.publication.volume22pt_PT
dc.identifier.doi10.1109/COMST.2020.3003261pt_PT
dc.identifier.essn1553-877Xpt_PT
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