Performance Analysis of OFDM-IM Systems over Generalized \eta-\mu Fading Channels

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dc.contributor.authorLafci, Mustafa
dc.contributor.authorCeniklioğlu, Büşra
dc.contributor.authorCanbilen, Ayşe Elif
dc.contributor.authorDeveli, İbrahim
dc.date.accessioned2025-02-24T16:35:48Z
dc.date.available2025-02-24T16:35:48Z
dc.date.issued2022
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.descriptionTechnical Education Quality Improvement Programme (TEQIP) Phase II
dc.description2nd International Conference on Next Generation Intelligent Systems -- ICNGIS 2022 -- 29 July 2022 through 31 July 2022 -- Virtual -- Online -- 187643
dc.description.abstractIn this paper, average bit error rate (ABER) performance of an orthogonal frequency division multiplexing with index modulation (OFDM-IM) system, which is a strong transmission technology candidate for next-generation networks, has been analyzed over generalized fading models, namely eta-mu (\eta-\mu) and kappa-mu (\kappa-\mu) fading channels. These models have the advantage of simple algebraic notation, line-of-sight (LOS) and non-line-of-sight (NLOS) propagation effects. The \kappa-\mu fading channel model is a LOS distribution, that includes the Nakagami-m and the Rice (Nakagami-n) distributions. Similarly, the special cases of \eta-\mu fading channel model are Hoyt, Rayleigh, Nakagami-m and One-sided Gaussian distributions. The effect of \eta-\mu and \kappa-\mu fading channel characteristics on the ABER performance of OFDM-1M systems was shown via computer simulations. © 2022 IEEE.
dc.identifier.doi10.1109/ICNGIS54955.2022.10079826
dc.identifier.isbn978-166546792-6
dc.identifier.scopus2-s2.0-85153064669
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ICNGIS54955.2022.10079826
dc.identifier.urihttps://hdl.handle.net/20.500.14440/580
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2nd International Conference on Next Generation Intelligent Systems, ICNGIS 2022
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250201
dc.subject5G
dc.subjecteta-mu distribution
dc.subjectkappa-mu distribution
dc.subjectOFDM-IM
dc.titlePerformance Analysis of OFDM-IM Systems over Generalized \eta-\mu Fading Channels
dc.typeConference Object

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