dc.contributor
Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
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Universitat Politècnica de Catalunya. IDEAI-UPC - Intelligent Data sciEnce and Artificial Intelligence Research Group
dc.contributor.author
Emoyon-Iredia, Ehizogie
dc.contributor.author
Saeed, Taqwa
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Ashraf, Nouman
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Liaskos, Christos
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Segata, Michele
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Casari, Paolo
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Abadal Cavallé, Sergi
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Alarcón Cot, Eduardo José
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Pitsillides, Andreas
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Lestas, Marios
dc.identifier
Emoyon-Iredia, E. [et al.]. Connected autonomous driving using reconfigurable intelligent metasurfaces. A: "Transportation mobility in smart cities". Springer, 2024, p. 263-295.
dc.identifier
978-3-031-64769-7
dc.identifier
https://hdl.handle.net/2117/426745
dc.identifier
10.1007/978-3-031-64769-7_10
dc.description.abstract
Beyond 5G/6G communication systems promise to significantly impact the development of a New Generation of CCAM. Reconfigurable Intelligent Metasurfaces (RIM) are by now established as a key enabling technology for 6G Systems. They have been extensively investigated the last few years, as they possess exotic properties allowing for precise control over any aspect of an impinging wave. As such, they can be harnessed for the realization of Programmable Wireless Environments (PWE). Despite their investigation for deployment in a number of applications, their integration in Connected Autonomous Driving Applications has not been considered in literature with respect to cooperative driving performance. In this chapter, we consider the HyperSurface (HSF) as the enabling technology for RIM and present recent results demonstrating the feasibility and the associated performance gains achieved from the integration of RIM in Connected Automated Driving Applications. We discuss HSF design considerations which can affect CCAM performance with respect to the system architecture, the controller network and the associated routing protocols, the workload characterization and the closed loop beam steering design. We envision the chapter to serve as a synopsis of tools and methodologies that can be used for RIM-enabled CCAM system design.
dc.description.abstract
This research has received support from the project BRIDGE2HORIZON/0823A/004 (AUTOMETA), which is implemented under the Cohesion Policy Funds “THALIA 2021-2027” with EU co-funding.
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Peer Reviewed
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Postprint (published version)
dc.format
application/pdf
dc.relation
https://link.springer.com/book/10.1007/978-3-031-64769-7
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subject
Connected, cooperative and automated mobility
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Reconfigurable intelligent metasurfaces
dc.title
Connected autonomous driving using reconfigurable intelligent metasurfaces
dc.type
Part of book or chapter of book