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Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces
University of Trento, Trento, Italy.ORCID iD: 0000-0002-6016-749X
Frederick University, Nicosia, Cyprus.
University of Trento, Trento, Italy.ORCID iD: 0000-0002-6401-1660
Halmstad University, School of Information Technology.
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2023 (English)In: 2023 18th Wireless On-Demand Network Systems and Services Conference, WONS 2023, New York, NY: IEEE, 2023, p. 32-39Conference paper, Published paper (Refereed)
Abstract [en]

Future cooperative autonomous vehicles will be able to organize into flexible platoons to improve both the efficiency and the safety of driving. However, platooning requires dependable coordination through the periodic wireless exchange of control messages. Therefore, challenging propagation scenarios as found, e.g., in dense urban areas, may hinder coordination and lead to undesirable vehicle behavior. While reconfigurable intelligent surfaces (RISs) have been advocated as a solution to improper coverage issues, no system-level simulation exists that accounts for realistic road mobility and communication aspects. To this end, we present one such simulator built on top of the OMNeT++-based PLEXE and Veins frameworks. Specifically, our contribution is a simulator that takes into account vehicle mobility, physical layer propagation, RIS coding, and networking protocols. To test our simulator, we implement an RIS-assisted autonomous platoon merging maneuver taking place at an intersection where the absence of any RIS would limit successful communications to an area dangerously close to the intersection itself. Our results validate the simulator as a feasible tool for system-level RIS-assisted cooperative autonomous vehicle maneuvering, and ultimately show the benefit of RIS as roadside infrastructure for wireless coverage extension. © 2023 IFIP.

Place, publisher, year, edition, pages
New York, NY: IEEE, 2023. p. 32-39
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:hh:diva-52039DOI: 10.23919/WONS57325.2023.10062109ISI: 000981938200006Scopus ID: 2-s2.0-85150683797ISBN: 9783903176560 (electronic)ISBN: 979-8-3503-2026-8 (print)OAI: oai:DiVA.org:hh-52039DiVA, id: diva2:1812820
Conference
18th Wireless On-Demand Network Systems and Services Conference, WONS 2023, Madonna di Campiglio, Italy, 30 January-1 February, 2023
Funder
EU, Horizon 2020, 861222Available from: 2023-11-17 Created: 2023-11-17 Last updated: 2023-11-17Bibliographically approved

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Taqwa, Saeed

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