Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13796
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dc.contributor.authorUniyal, Smritien_US
dc.contributor.authorVishwakarma, Narendraen_US
dc.contributor.authorSingh, Deepshikhaen_US
dc.contributor.authorRamabadran, Swaminathanen_US
dc.date.accessioned2024-06-28T11:38:32Z-
dc.date.available2024-06-28T11:38:32Z-
dc.date.issued2023-
dc.identifier.citationUniyal, S., Vishwakarma, N., Singh, D., & Swaminathan, R. (2024). Reconfigurable Intelligent Surfaces-Aided Mixed THz/FSO Communication System. 2024 National Conference on Communications, NCC 2024. Scopus. https://doi.org/10.1109/NCC60321.2024.10485790en_US
dc.identifier.isbn979-8350370218-
dc.identifier.otherEID(2-s2.0-85190301243)-
dc.identifier.urihttps://doi.org/10.1109/GCWkshps58843.2023.10464412-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13796-
dc.description.abstractFree space optics (FSO) and radio frequency (RF) communication links can be used to complement each other, as both the systems are impacted differently by environmental impediments, i.e., fog is a major impairment in an FSO system, whereas rain impacts RF systems. This paper proposes an intelligent reflecting surfaces (IRS)-assisted hybrid FSOIRF system with selection combining at the receiver, wherein the data is transmitted via both the FSO and RF links. The at-mospheric turbulence of FSO link is modeled using the Gamma-Gamma distribution and the Nakagami-m distribution is used to characterize the fading in the RF link. The expressions for outage probability and average symbol error rate are obtained for the proposed system. Further, the performance of the proposed system is analyzed numerically, followed by reasoning. Finally, we compare the proposed IRS-assisted hybrid FSO/RF system with the existing hybrid FSO/RF system without IRS, a direct link FSO. and an IRS-assisted FSO system. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2023 IEEE Globecom Workshops, GC Wkshps 2023en_US
dc.subjectAverage symbol error rateen_US
dc.subjectfree space optics (FSO)en_US
dc.subjecthybrid FSO/RF systemen_US
dc.subjectintelligent reflecting surfaces (IRS)en_US
dc.subjectpointing errors (PE)en_US
dc.subjectradio frequency (RF)en_US
dc.titleIRS-Aided Hybrid FSO/RF Communication System with Selection Combiningen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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