Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/12481
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Topal, O.A. | - |
dc.contributor.author | Demir, O.T. | - |
dc.contributor.author | Björnson, E. | - |
dc.contributor.author | Cavdar, C. | - |
dc.date.accessioned | 2025-05-10T19:34:53Z | - |
dc.date.available | 2025-05-10T19:34:53Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9798350354058 | - |
dc.identifier.issn | 1058-6393 | - |
dc.identifier.uri | https://doi.org/10.1109/IEEECONF60004.2024.10942847 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11851/12481 | - |
dc.description.abstract | Cell-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.sponsorship | Swedish Funding Agency Vinnova; Stiftelsen för Strategisk Forskning, SSF; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (FFL18-0277); Türkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE Computer Society | en_US |
dc.relation.ispartof | Conference 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 -- 208087 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.title | Energy-Efficient Cell-Free Massive Mimo With Wireless Fronthaul | en_US |
dc.type | Conference Object | en_US |
dc.department | TOBB University of Economics and Technology | en_US |
dc.identifier.startpage | 1591 | en_US |
dc.identifier.endpage | 1596 | en_US |
dc.identifier.scopus | 2-s2.0-105002693497 | - |
dc.identifier.doi | 10.1109/IEEECONF60004.2024.10942847 | - |
dc.authorscopusid | 57190742811 | - |
dc.authorscopusid | 55807906700 | - |
dc.authorscopusid | 24478602800 | - |
dc.authorscopusid | 24178594900 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q4 | - |
dc.identifier.wosquality | N/A | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
item.cerifentitytype | Publications | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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