Architecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making model

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dc.authoridAlbahri, A.S./0000-0003-3335-457X
dc.authoridalamoodi, abdullah/0000-0003-4393-5570
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authoridSharaf, Iman/0000-0002-0878-5696
dc.authoridDelen, Dursun/0000-0001-8857-5148
dc.authoridAlbahrey, Osamah Shihab/0000-0002-7844-3990
dc.authorwosidAlbahri, A.S./E-7428-2018
dc.authorwosidalamoodi, abdullah/AAZ-8787-2020
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.authorwosidSharaf, Iman/AAZ-6309-2020
dc.authorwosidDelen, Dursun/AGA-9892-2022
dc.authorwosidTalal, Mohammed/AAI-8918-2020
dc.authorwosidAlbahrey, Osamah Shihab/D-5150-2018
dc.contributor.authorSharaf, Iman Mohamad
dc.contributor.authorAlamoodi, A. H.
dc.contributor.authorAlbahri, O. S.
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorTalal, Mohammed
dc.contributor.authorAlbahri, A. S.
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-05-19T14:46:24Z
dc.date.available2024-05-19T14:46:24Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractFifth-generation (5G) technology provides new possibilities for a variety of applications, but it also comes with challenges influenced by distinct aspects, such as the size of organizations that use such technology. Therefore, it is important to understand which architecture of 5G-radio access networks (RANs) is best for a given purpose; this requires an evaluation platform for assessment. This paper tackles this problem by presenting a novel multi-criteria decision-making (MCDM) solution based on a new integrated fuzzy set. The proposed integrated approach, which is based on a Type-2 neutrosophic fuzzy environment, is developed to address the application challenges of 5G-RANs architecture evaluation, as also to face the MCDM theoretical challenge represented by ambiguities and inconsistencies among decision makers within the decision making context of the presented case study. Many MCDM techniques for weighting and selection were presented from the literature, yet many of them still suffer from inconsistencies and uncertainty. Therefore, the chosen methods in this research are unique in a way that previous issues are addressed, making them suitable for integration with Type-2 neutrosophic fuzzy environment, and therefore creating a more robust decision platform for the presented challenge in this research, as a theoretical contribution. First, a new Type-2 Neutrosophic Fuzzy-Weighted Zero-Inconsistency (T2NN-FWZIC) technique is formulated for weighting the evaluation criteria of RAN architectures. Second, another new method, namely, Type2 Neutrosophic Fuzzy Decision by Opinion Score Method (T2NN-FDOSM), was formulated to select the optimal RAN architecture using the obtained weights. The weighting results by T2NN-FWZIC for the (n = 25) evaluation criteria revealed that (C21 latency and C22 reliability) as the most important criteria, with 0.06 value for each as opposed to (C15 Data Processing) as the lowest weighted criteria with 0.0186 value. As for T2NN-FDOSM, a total of four 5G-RAN architectures were evaluated, including virtualized cloud RAN coming as the optimal one, followed by fog RAN, cloud RAN, and finally heterogeneous cloud RAN. The results were confirmed by carrying out a sensitivity analysis. The outcome of this study can be used to assist future 5G-RAN developments according to business needs and to establish an assessment platform for 5G technology in different domains and applications.en_US
dc.identifier.doi10.1016/j.eswa.2023.121420
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85171151096en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.eswa.2023.121420
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5514
dc.identifier.volume237en_US
dc.identifier.wosWOS:001074661300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectRadio Access Networken_US
dc.subject5g Mobile Communication Systemen_US
dc.subjectType-2 Neutrosophic Fuzzy Setsen_US
dc.subjectMulti -Criteria Decision -Makingen_US
dc.subjectFwzicen_US
dc.subjectFdosmen_US
dc.titleArchitecture selection for 5G-radio access network using type-2 neutrosophic numbers based decision making modelen_US
dc.typeArticleen_US

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