Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11001
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dc.contributor.authorDemir, O.T.-
dc.contributor.authorMasoudi, M.-
dc.contributor.authorBjornson, E.-
dc.contributor.authorCavdar, C.-
dc.date.accessioned2024-01-21T09:24:31Z-
dc.date.available2024-01-21T09:24:31Z-
dc.date.issued2024-
dc.identifier.issn0733-8716-
dc.identifier.urihttps://doi.org/10.1109/JSAC.2023.3336187-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/11001-
dc.description.abstractFor the energy-efficient deployment of cell-free massive MIMO functionality in a practical wireless network, the end-to-end (from radio site to the cloud) energy-aware operation is essential. In line with the cloudification and virtualization in the open radio access networks (O-RAN), it is indisputable to envision prospective cell-free infrastructure on top of the O-RAN architecture. In this paper, we explore the performance and power consumption of cell-free massive MIMO technology in comparison with traditional small-cell systems, in the virtualized O-RAN architecture. We compare two different functional split options and different resource orchestration mechanisms. In the end-to-end orchestration scheme, we aim to minimize the end-to-end power consumption by jointly allocating the radio, optical fronthaul, and virtualized cloud processing resources. We compare end-to-end orchestration with two other schemes: i) “radio-only” where radio resources are optimized independently from the cloud and ii) “local cloud coordination” where orchestration is only allowed among a local cluster of radio units. We develop several algorithms to solve the end-to-end power minimization and sum spectral efficiency maximization problems. The numerical results demonstrate that end-to-end resource allocation with fully virtualized fronthaul and cloud resources provides a substantial additional power saving than the other resource orchestration schemes. IEEEen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIEEE Journal on Selected Areas in Communicationsen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCell-free massive MIMO; Cloud computing; Computer architecture; end-to-end resource allocation; joint network orchestration; joint transmission; Massive MIMO; Optical network units; Power demand; Resource management; Virtualization; virtualized O-RANen_US
dc.subjectCells; Computer architecture; Computing power; Cytology; Electric power utilization; Energy efficiency; Green computing; Light transmission; Network architecture; Radio; Radio access networks; Resource allocation; Spectrum efficiency; Virtual reality; Cell-free; Cell-free massive MIMO; Cloud-computing; End to end; End-to-end resource allocation; Joint network; Joint network orchestration; Joint transmissions; Massive MIMO; Optical network units; Power demands; Radio access networks; Resource management; Resources allocation; Virtualizations; Virtualized open radio access network; Virtualizationen_US
dc.titleCell-Free Massive Mimo in O-Ran: Energy-Aware Joint Orchestration of Cloud, Fronthaul, and Radio Resourcesen_US
dc.typeArticleen_US
dc.departmentTOBB ETÜen_US
dc.identifier.startpage1en_US
dc.identifier.endpage1en_US
dc.identifier.wosWOS:001174086100013en_US
dc.identifier.scopus2-s2.0-85181577907en_US
dc.institutionauthor-
dc.identifier.doi10.1109/JSAC.2023.3336187-
dc.authorscopusid55807906700-
dc.authorscopusid57188558577-
dc.authorscopusid24478602800-
dc.authorscopusid24178594900-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.grantfulltextnone-
item.languageiso639-1en-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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