Machine Learning for Wireless Link Quality Estimation: A Survey

dc.contributor.author	Cerar, Gregor
dc.contributor.author	Yetgin, Halil
dc.contributor.author	Mohorcic, Mihael
dc.contributor.author	Fortuna, Carolina
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2021
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9898
dc.identifier.uri	https://doi.org/10.1109/COMST.2021.3053615
dc.description.abstract	Since the emergence of wireless communication networks, a plethora of research papers focus their attention on the quality aspects of wireless links. The analysis of the rich body of existing literature on link quality estimation using models developed fr
dc.description.sponsorship	Slovenian Research AgencySlovenian Research Agency - Slovenia [P2-0016, J2-9232]; European Community H2020 NRG-5 Project [762013]
dc.language.iso	English
dc.publisher	Ieee-Inst Electrıcal Electronıcs Engıneers Inc
dc.rights	Bronze, Green Submitted
dc.source	Ieee Communıcatıons Surveys And Tutorıals
dc.title	Machine Learning for Wireless Link Quality Estimation: A Survey
dc.type	Article
dc.identifier.issue	2
dc.identifier.startpage	696
dc.identifier.endpage	728
dc.identifier.doi	10.1109/COMST.2021.3053615
dc.identifier.wos	WOS:000654905700003
dc.identifier.volume	23

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