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dc.contributor.authorAhmed, Farwa
dc.contributor.authorArslan, Hüseyin
dc.date.accessioned2021-09-06T08:02:32Z
dc.date.available2021-09-06T08:02:32Z
dc.date.issued2021en_US
dc.identifier.citationAhmed, F. ve Arslan, H. (2021). Signal statistics based multiple AP detection for smart spectrum sharing in LTE-U/Wi-Fi coexistence. IEEE 93rd Vehicular Technology Conference (VTC-Spring), 25-28 April 2021. https://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448828en_US
dc.identifier.isbn9781728189642
dc.identifier.issn1550-2252
dc.identifier.urihttps://dx.doi.org/10.1109/VTC2021-Spring51267.2021.9448828
dc.identifier.urihttps://hdl.handle.net/20.500.12511/8006
dc.description.abstractFor existing IEEE 802.11ax and futurist Wi-Fi standards, one of the major challenges is fair coexistence with LTE-Unlicensed/5G-New Radio (LTE-U/5G-NR) and other internet of things (IoT) paradigms. An algorithm is developed for multiple Wi-Fi small cell networks, coexisting with the LTE-U network over the unlicensed band for smart spectrum sharing. An optimal detector is designed based on second-order statistics (SOS) of OFDM signals and using singular value decomposition (SVD) method. Furthermore, theoretical expressions are derived for the detection and the false alarm probabilities. For spectrum access and sharing, flexible carrier sensing adaptive transmission (CSAT) framework and algorithm are designed. Lastly, the simulation results show the distinction of the proposed approach over the conventional detectors.en_US
dc.description.sponsorshipHuawei ; Nokiaen_US
dc.language.isoengen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectLTE-U/Wi-Fi Coexistenceen_US
dc.subjectOptimal Detectoren_US
dc.subjectSecond-Order Signal Statisticsen_US
dc.subjectSmart Spectrum Sharingen_US
dc.titleSignal statistics based multiple AP detection for smart spectrum sharing in LTE-U/Wi-Fi coexistenceen_US
dc.typeconferenceObjecten_US
dc.relation.journalIEEE 93rd Vehicular Technology Conference (VTC-Spring)en_US
dc.departmentİstanbul Medipol Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.authorid0000-0001-9474-7372en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.identifier.doi10.1109/VTC2021-Spring51267.2021.9448828en_US


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