On Designing a Machine Learning Based Wireless Link Quality Classifier

dc.contributor.author	Cerar, Gregor
dc.contributor.author	Yetgin, Halit
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	2020
dc.identifier.isbn	978-1-7281-4490-0
dc.identifier.issn	2166-9570
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10004
dc.description.abstract	Ensuring a reliable communication in wireless networks strictly depends on the effective estimation of the link quality, which is particularly challenging when propagation environment for radio signals significantly varies. In such environments, intellige
dc.description.sponsorship	Slovenian Research AgencySlovenian Research Agency - Slovenia [P2-0016, J2-9232]; EC H2020 NRG5 Project [762013]
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	31st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC)
dc.source	2020 Ieee 31St Annual Internatıonal Symposıum On Personal, Indoor And Mobıle Radıo Communıcatıons (Ieee Pımrc)
dc.title	On Designing a Machine Learning Based Wireless Link Quality Classifier
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000631491700085

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