Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/8892
Full metadata record
DC FieldValueLanguage
dc.contributor.authorEroğlu, Alperen-
dc.contributor.authorYaman, Okan-
dc.contributor.authorOnur, Ertan-
dc.date.accessioned2020-07-18T08:34:06Z-
dc.date.available2020-07-18T08:34:06Z-
dc.date.issued2019-
dc.identifier.issn1389-1286-
dc.identifier.issn1872-7069-
dc.identifier.urihttps://doi.org/10.1016/j.comnet.2019.106922-
dc.identifier.urihttps://hdl.handle.net/11147/8892-
dc.description.abstractAs demand for mobile communications increases, cells have to become smaller to efficiently use the scarce spectrum and to increase capacity, and small-cell networks will hereby emerge. They may be large in scale and highly dynamic resembling ad hoc networks due to the moving base stations. The variations in the density of the small cell networks impact the quality of service and introduce many novel challenges such as coverage control. We propose two novel base station density estimators, the interference-based density estimator (IDE) and the multi-access edge cloud-based density estimator (CDE) in a three-dimensional field. The estimators employ received signal strength measurements. We validate these two density estimators by using Monte-Carlo simulations. Furthermore, we analyze the impact of density on network outage in cellular networks and propose a density-aware cell zooming technique. According to the observations, base station (BS) density affects network coverage significantly. Received signal strength (RSS)-based density estimators can easily be implemented and applied in the network communication stack although they are more prone to shadowing and fading. Under favour of the density-aware cell zooming method, the network outage can be managed dynamically by adapting the transmit power, which provides a self-configurable and -organized network. (C) 2019 Elsevier B.V. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofComputer Networksen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCellular networksen_US
dc.subjectMoving base stationsen_US
dc.subjectBase station density estimationen_US
dc.subjectDensity-adaptive networkingen_US
dc.subjectNetwork coverageen_US
dc.titleDensity-aware cellular coverage control: Interference-based density estimationen_US
dc.typeArticleen_US
dc.institutionauthorYaman, Okan-
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.volume165en_US
dc.identifier.wosWOS:000506718900002en_US
dc.identifier.scopus2-s2.0-85072963707en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1016/j.comnet.2019.106922-
dc.relation.doi10.1016/j.comnet.2019.106922en_US
dc.coverage.doi10.1016/j.comnet.2019.106922en_US
dc.identifier.wosqualityQ2-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
Files in This Item:
File SizeFormat 
1-s2.0-S1389128619305201-main.pdf2.9 MBAdobe PDFView/Open
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Mar 22, 2024

WEB OF SCIENCETM
Citations

2
checked on Mar 16, 2024

Page view(s)

100
checked on Mar 25, 2024

Download(s)

62
checked on Mar 25, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.