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Two Hops IRS Optimization in Urban Mobile Environment

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dc.contributor.author Fall, Ndeye Penda
dc.contributor.author Said, Adel Mounir
dc.contributor.author Marot, Michel
dc.contributor.author Diallo, Cherif
dc.contributor.author Afifi, Hossam
dc.contributor.author Moungla, Hassine
dc.date.accessioned 2024-07-07T10:23:17Z
dc.date.available 2024-07-07T10:23:17Z
dc.date.issued 2023-10-30
dc.identifier.uri https://repository.rsif-paset.org/xmlui/handle/123456789/409
dc.description MobiWac '23: Proceedings of the Int'l ACM Symposium on Mobility Management and Wireless Access en_US
dc.description.abstract he 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.publisher ACM Digital Library en_US
dc.subject Urban Mobile Environment en_US
dc.title Two Hops IRS Optimization in Urban Mobile Environment en_US
dc.type Presentation en_US


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