Please use this identifier to cite or link to this item: https://repository.rsif-paset.org/xmlui/handle/123456789/409
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dc.contributor.authorFall, Ndeye Penda-
dc.contributor.authorSaid, Adel Mounir-
dc.contributor.authorMarot, Michel-
dc.contributor.authorDiallo, Cherif-
dc.contributor.authorAfifi, Hossam-
dc.contributor.authorMoungla, Hassine-
dc.date.accessioned2024-07-07T10:23:17Z-
dc.date.available2024-07-07T10:23:17Z-
dc.date.issued2023-10-30-
dc.identifier.urihttps://repository.rsif-paset.org/xmlui/handle/123456789/409-
dc.descriptionMobiWac '23: Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Accessen_US
dc.description.abstracthe intelligent reflective surface (IRS) is a new technology that can reduce the number of base stations and improve signal quality. Whereas in the literature, IRS is often considered in one-hop scenarios, we propose to address two-hop IRS in a vehicular context. On the one hand, two-hop IRS should improve connectivity by enabling blind devices in blind areas to be connected to the network, and on the other, connections may be more volatile due to a higher number of intermediate devices. In this work, their impact on network performance is investigated through different performance criteria. Our approach is validated using real vehicular traces in the city of Roma, Italy.en_US
dc.publisherACM Digital Libraryen_US
dc.subjectUrban Mobile Environmenten_US
dc.titleTwo Hops IRS Optimization in Urban Mobile Environmenten_US
dc.typePresentationen_US
Appears in Collections:ICTs including Big Data and Artificial Intelligence

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