hh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On the Feasibility of RIS-enabled Cooperative Driving
University Of Trento, Trento, Italy.ORCID iD: 0000-0002-6016-749X
University Of Trento, Trento, Italy.ORCID iD: 0000-0002-6401-1660
Frederick University, Nicosia, Cyprus.
Aristotle University Of Thessaloniki, Thessaloniki, Greece.
Show others and affiliations
2023 (English)In: IEEE Vehicular Networking Conference, VNC / [ed] S. Coleri; O. Altintas; F. Kargl; T. Higuchi; M. Segata; F. Klingler, New York: IEEE, 2023, p. 143-150Conference paper, Published paper (Refereed)
Abstract [en]

Future cooperative autonomous vehicles will require high-performance communication means to support functions such as cooperative maneuvering and cooperative perception. The high-bandwidth requirements of these functions can be met through mmWave communications, whose utilization is often hindered by the harsh propagation conditions of typical vehicular environments. A solution to this problem is the use of reconfigurable intelligent surfaces (RISs), which enable the reflection of signals in a configurable direction, and have recently gained attention in the vehicular domain. In this paper, we provide an initial feasibility study, highlighting the challenges ahead and the performance RISs need to deliver in order to enable this type of communications. Specifically, we utilize CoopeRIS, a simulation framework for RISs integrated into the Plexe/Veins/SUMO ecosystem that we develop as further contribution and will release to the public. © 2023 IEEE.

Place, publisher, year, edition, pages
New York: IEEE, 2023. p. 143-150
Series
IEEE Vehicular Networking Conference, ISSN 2157-9857, E-ISSN 2157-9865
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:hh:diva-51245DOI: 10.1109/VNC57357.2023.10136324ISI: 001011821500022Scopus ID: 2-s2.0-85163152539ISBN: 9798350335491 (print)OAI: oai:DiVA.org:hh-51245DiVA, id: diva2:1790322
Conference
14th IEEE Vehicular Networking Conference, VNC 2023, Istanbul, Turkey, 26 - 28 April, 2023
Funder
EU, Horizon 2020, 861222Available from: 2023-08-22 Created: 2023-08-22 Last updated: 2023-08-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Taqua, Saeed

Search in DiVA

By author/editor
Segata, MicheleCasari, PaoloTaqua, SaeedKaragiannidis, GeorgeLiaskos, Christos
By organisation
School of Information Technology
Communication Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf