Publication Type
Conference Proceeding
Publication Date (Issue Year)
2023
Journal Name
Proceedings of the Int’l ACM Symposium on Mobility Management and Wireless Access
Abstract
The 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
Keywords
Keywords
Rsif Scholar Name
Ndeye Penda Fall
Thematic Area
ICTs Including Big Data and Artificial Intelligence
Africa Host University (AHU)
University of Gaston Berger (UGB), Senegal
Funding Statement
Ph.D. training supported by the Partnership for Skills in Applied Sciences, Engineering, and Technology (PASET) - Regional Scholarship and Innovation Fund (RSIF
Recommended Citation
Fall, N. P., Said, A. M., Marot, M., Cherif Diallo, C., Afifi, H., & Moungla, H. (2023). Two hops IRS optimization in urban mobile environment. Proceedings of the Int’l ACM Symposium on Mobility Management and Wireless Access, 83-90. https://doi.org/10.1145/3616390.3618287