Εμφάνιση απλής εγγραφής

dc.creatorMakin M., Dautov K., Hashmi M.S., Tsiftsis T.A., Nauryzbayev G.en
dc.date.accessioned2023-01-31T08:55:56Z
dc.date.available2023-01-31T08:55:56Z
dc.date.issued2022
dc.identifier10.1109/ICTC55196.2022.9952384
dc.identifier.isbn9781665499392
dc.identifier.issn21621233
dc.identifier.urihttp://hdl.handle.net/11615/76125
dc.description.abstractMetamaterials, i.e., reconfigurable intelligent surfaces (RISs), have become very promising and advancing rapidly due to the ability to manipulate electromagnetic (EM) waves. This feature essentially ensures the versatile application area such as various imaging techniques, cloaking devices, wireless power transfer systems, holography, and cross-radar section reduction. The control of EM waves, within the idea of digital metamaterials, can be realized by employing binary coding with 1-, 2-, or more bits. In general, the programmable metasurface can assure the modification of reflected wave amplitude and phase in a certain frequency band. In another development, cognitive radio has become an effective approach for improving spectrum efficiency. Possessing promising features, this work investigates the concept of adopting both RIS and CR within a network for the purpose of increasing the possible benefits available. We simulate the practical realization of the digital metasurface using different coding elements. We obtain the exact and numerical solutions for the system's outage probability and validate the expressions via Monte Carlo simulations. Furthermore, the impacts of the Nakagami- m fading parameter, interference temperature constraint, and number of reflective elements on the system performance are examined and discussed. © 2022 IEEE.en
dc.language.isoenen
dc.sourceInternational Conference on ICT Convergenceen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85143252531&doi=10.1109%2fICTC55196.2022.9952384&partnerID=40&md5=05947d818b6e8d1261c69d9d5157afad
dc.subjectCognitive radioen
dc.subjectEnergy transferen
dc.subjectFading (radio)en
dc.subjectIntelligent systemsen
dc.subjectMonte Carlo methodsen
dc.subjectOutagesen
dc.subjectCognitive radioen
dc.subjectCognitive radio networken
dc.subjectMetasurfaceen
dc.subjectNakagami-m fadingen
dc.subjectOutage analysisen
dc.subjectOutage probabilityen
dc.subjectReconfigurableen
dc.subjectReconfigurable intelligent surfaceen
dc.subjectUnderlay cognitive radiosen
dc.subjectMetamaterialsen
dc.subjectIEEE Computer Societyen
dc.titleOutage Analysis and Realization Challenges of RIS-enabled Underlay CR Networks over Nakagami-m Fadingen
dc.typeconferenceItemen


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