Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2820
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dc.contributor.authorİncebacak, Davut-
dc.contributor.authorYanıkömeroğlu, Halim-
dc.contributor.authorTavlı, Bülent-
dc.date.accessioned2019-12-25T14:03:40Z-
dc.date.available2019-12-25T14:03:40Z-
dc.date.issued2014
dc.identifier.citationIncebacak, D., Yanikomeroglu, H., and Tavli, B. (2014, December). Trade-offs in sum-rate maximization and fairness in relay-enhanced OFDMA-based cellular networks. In 2014 IEEE Global Communications Conference (pp. 4770-4775). IEEE.en_US
dc.identifier.isbn978-1-4799-3512-3
dc.identifier.issn2334-0983
dc.identifier.urihttps://hdl.handle.net/20.500.11851/2820-
dc.identifier.urihttps://ieeexplore.ieee.org/document/7037561-
dc.description.abstractRouting, subchannel scheduling, and power allocation are generally treated as separate problems in relay-enhanced OFDMA-based cellular networks. They are mostly modeled using non-linear constraints to maximize either sum rate or minimum rate. Although separation of problems simplifies modeling, it can lead to suboptimal solutions which can degrades network efficiency (i.e., low sum rate or low minimum rate). Also, models that include non-linear constraints generally belong to the NP-hard class. In this study, we jointly optimize routing, subchannel scheduling, and power allocation in relay-enhanced OFDMA-based cellular networks through a novel Linear Programming (LP) framework employing discrete power levels. Our framework is comprised of LP models for the following problems: Sum Rate Maximization (SRM), Max-Min Fairness (MMF), and Joint Sum Rate Maximization and Max-Min Fairness (JSRM(3)F). We investigate the trade-offs in sum rate maximization and maxmin fairness in terms of achievable maximum data rates and subchannel sharing by numerical evaluations of the LP models. We show that maximum data rates obtained with discrete power allocation are near-optimal even with a few discrete power levels. We provide upper bounds for joint maximization of sum rate and minimum rate. Furthermore, the results of this study reveal that fairness has a significant impact on subchannel sharing.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofIEEE Global Communications Conferenceen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCellular networksen_US
dc.subjectlinear programmingen_US
dc.subjectpower levelen_US
dc.subjectfairnessen_US
dc.titleTrade-offs in Sum-Rate Maximization and Fairness in Relay-Enhanced OFDMA-based Cellular Networksen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.identifier.startpage4770
dc.identifier.endpage4775
dc.authorid0000-0002-9615-1983-
dc.identifier.wosWOS:000369900404160en_US
dc.identifier.scopus2-s2.0-84949923382en_US
dc.institutionauthorTavlı, Bülent-
dc.identifier.doi10.1109/GLOCOM.2014.7037561-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.scopusquality--
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
item.cerifentitytypePublications-
item.languageiso639-1en-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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