Reconfigurable Intelligent Surface-Assisted OFDM-IM for beyond 5G Mobile Networks: ML and LLR Detector Designs

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dc.contributor.authorCeniklioğlu, Büşra
dc.contributor.authorDeveli, İbrahim
dc.contributor.authorCanbilen, Ayşe Elif
dc.date.accessioned2025-02-24T16:35:48Z
dc.date.available2025-02-24T16:35:48Z
dc.date.issued2023
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description1st IEEE International Conference on Contemporary Computing and Communications -- InC4 2023 -- 21 April 2023 through 22 April 2023 -- Bangalore -- 193100
dc.description.abstractThe several countries of the world is intensified their investigative on the fifth generation and beyond (5GB) communications in order to reach the new requirements for new wireless applications. In this context, orthogonal frequency division multiplexing with index modulation (OFDM-IM) concept is suggested as one of the ideal solutions in the literature. Additionally, reconfigurable intelligent surfaces (RISs) can be occupied to enahance the quality of service (QoS). Considering that, the performance of RIS-assisted OFDM-IM system is examined by applying maximum likelihood (ML) and log-likelihood ratio (LLR) detectors in this paper. It is observed from the provided computer simulation results that integrating an RIS consisting of many low-cost and passive elements, into OFDM-IM systems considerably increase the overall system performance. © 2023 IEEE.
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK, (122E242)
dc.identifier.doi10.1109/InC457730.2023.10262978
dc.identifier.isbn979-835033577-4
dc.identifier.scopus2-s2.0-85174689079
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/InC457730.2023.10262978
dc.identifier.urihttps://hdl.handle.net/20.500.14440/581
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings of IEEE InC4 2023 - 2023 IEEE International Conference on Contemporary Computing and Communications
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250201
dc.subjectindex modulation (IM)
dc.subjectlog-likelihood ratio (LLR)
dc.subjectmaximum likelihood (ML)
dc.subjectOrthogonal frequency division multiplexing (OFDM)
dc.subjectreconfigurable intelligent surface (RIS)
dc.titleReconfigurable Intelligent Surface-Assisted OFDM-IM for beyond 5G Mobile Networks: ML and LLR Detector Designs
dc.typeConference Object

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