Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/12481
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dc.contributor.authorTopal, O.A.-
dc.contributor.authorDemir, O.T.-
dc.contributor.authorBjörnson, E.-
dc.contributor.authorCavdar, C.-
dc.date.accessioned2025-05-10T19:34:53Z-
dc.date.available2025-05-10T19:34:53Z-
dc.date.issued2024-
dc.identifier.isbn9798350354058-
dc.identifier.issn1058-6393-
dc.identifier.urihttps://doi.org/10.1109/IEEECONF60004.2024.10942847-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/12481-
dc.description.abstractCell-free massive MIMO improves the fairness among the user equipments (UEs) in the network by distributing many cooperating access points (APs) around the region while connecting them to a centralized cloud-computing unit that coordinates joint transmission/reception. However, the fiber cable deployment for the fronthaul transport network and activating all available antennas at each AP lead to increased deployment cost and power consumption for fronthaul signaling and processing. To overcome these challenges, in this work, we consider wireless fronthaul connections and propose a joint antenna activation and power allocation algorithm to minimize the end-to-end (from radio to cloud) power while satisfying the quality-of-service requirements of the UEs under wireless fronthaul capacity limitations. The results demonstrate that the proposed methodology of deactivating antennas at each AP reduces the power consumption by 50% and 84% compared to the benchmarks based on shutting down APs and minimizing only the transmit power, respectively. © 2024 IEEE.en_US
dc.description.sponsorshipSwedish Funding Agency Vinnova; Stiftelsen för Strategisk Forskning, SSF; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (FFL18-0277); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAKen_US
dc.language.isoenen_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartofConference Record - Asilomar Conference on Signals, Systems and Computers -- 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024 -- 27 October 2024 through 30 October 2024 -- Hybrid, Pacific Grove -- 208087en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleEnergy-Efficient Cell-Free Massive Mimo With Wireless Fronthaulen_US
dc.typeConference Objecten_US
dc.departmentTOBB University of Economics and Technologyen_US
dc.identifier.startpage1591en_US
dc.identifier.endpage1596en_US
dc.identifier.scopus2-s2.0-105002693497-
dc.identifier.doi10.1109/IEEECONF60004.2024.10942847-
dc.authorscopusid57190742811-
dc.authorscopusid55807906700-
dc.authorscopusid24478602800-
dc.authorscopusid24178594900-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ4-
dc.identifier.wosqualityN/A-
item.languageiso639-1en-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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