Management of wireless communication systems using artificial intelligence-based software defined radio

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dc.contributor.authorBargarai, Faiq A. Mohammed
dc.contributor.authorAbdulazeez, Adnan Mohsin
dc.contributor.authorTiryaki, Volkan Müjdat
dc.contributor.authorZeebaree, Diyar Qader
dc.date.accessioned2024-12-24T19:10:08Z
dc.date.available2024-12-24T19:10:08Z
dc.date.issued2020
dc.departmentSiirt Üniversitesi
dc.description.abstractThe wireless communication system was investigated by novel methods, which produce an optimized data link, especially the software-based methods. Software-Defined Radio (SDR) is a common method for developing and implementing wireless communication protocols. In this paper, SDR and artificial intelligence (AI) are used to design a self-management communication system with variable node locations. Three affected parameters for the wireless signal are considered: channel frequency, bandwidth, and modulation type. On one hand, SDR collects and analyzes the signal components while on the other hand, AI processes the situation in real-time sequence after detecting unwanted data during the monitoring stage. The decision was integrated into the system by AI with respect to the instantaneous data read then passed to the communication nodes to take its correct location. The connectivity ratio and coverage area are optimized nearly double by the proposed method, which means the variable node location, according to the peak time, increases the attached subscriber by a while ratio. © 2020 International Association of Online Engineering.
dc.identifier.doi10.3991/ijim.v14i13.14211
dc.identifier.endpage133
dc.identifier.issn1865-7923
dc.identifier.issue13
dc.identifier.scopus2-s2.0-85090904742
dc.identifier.scopusqualityQ2
dc.identifier.startpage107
dc.identifier.urihttps://doi.org10.3991/ijim.v14i13.14211
dc.identifier.urihttps://hdl.handle.net/20.500.12604/3950
dc.identifier.volume14
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherInternational Association of Online Engineering
dc.relation.ispartofInternational Journal of Interactive Mobile Technologies
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.subjectArtificial intelligence
dc.subjectConnectivity
dc.subjectCoverage area
dc.subjectSDR
dc.titleManagement of wireless communication systems using artificial intelligence-based software defined radio
dc.typeArticle

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