Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/7222
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dc.contributor.authorYılmaz, Saadet Simay-
dc.contributor.authorÖzbek, Berna-
dc.contributor.authorTaş, Murat-
dc.contributor.authorBengür, Sıdıka-
dc.date.accessioned2019-08-20T11:55:59Z
dc.date.available2019-08-20T11:55:59Z
dc.date.issued2018en_US
dc.identifier.citationYılmaz, Saadet S., Özbek, B., Taş, M., and Bengür, S. (2017). Cell load based user association for professional mobile radio systems. Paper presented at the 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, Bursa, 29 November-2 December (pp.651-655).en_US
dc.identifier.urihttps://hdl.handle.net/11147/7222
dc.description10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Bursa; Turkey; 29 November 2017 through 2 December 2017en_US
dc.description.abstractWhen the public communication networks can not provide service during disaster and high traffic cases, Professional Mobile Radio systems (PMR) such as trunked Digital Mobile Radio (DMR) systems are needed to improve the service quality and to provide uninterrupted service to the public safety officers. While providing continuous voice and data service, it is very important to select the base station (BS) to be served by efficient cell selection algorithms. The aim of the user association algorithms is to reduce the waiting time while establishing reliable transmission link for PMR systems in emergencies. In this sense, we propose the full set user association algorithm that each user selects the BS according to the calculated utility value determined based on both received signal strength indicator (RSSI) value and cell load information. The performance of the proposed algorithm is evaluated by considering different performance metrics for trunked DMR systems in urban area.en_US
dc.description.sponsorshipRepublic of Turkey Ministry of Science, Industry and Technology under SAN-TEZ 0686.STZ.2014 Programmeen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof10th International Conference on Electrical and Electronics Engineering, ELECO 2017en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectMobile radio systemsen_US
dc.subjectCellular neural networksen_US
dc.subjectDigital radioen_US
dc.subjectLoad informationen_US
dc.titleCell load based user association for professional mobile radio systemsen_US
dc.typeConference Objecten_US
dc.authorid0000-0003-4359-7874en_US
dc.institutionauthorYılmaz, Saadet Simay-
dc.institutionauthorÖzbek, Berna-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.startpage651en_US
dc.identifier.endpage655en_US
dc.identifier.wosWOS:000426978800110en_US
dc.identifier.scopus2-s2.0-85046287311en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
local.message.claim2022-06-08T11:23:04.980+0300|||rp02741|||submit_approve|||dc_contributor_author|||None*
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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