On the Performance of Dual RIS-assisted V2I Communication under Nakagami-m Fading

  • Mohd Hamza Naim Shaikh*
  • , Khaled Rabie
  • , Xingwang Li
  • , Theodoros Tsiftsis
  • , Galymzhan Nauryzbayev
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

20 Scopus citations

Abstract

Vehicle-to-everything (V2X) connectivity in 5G-andbeyond communication networks supports the futuristic intelligent transportation system (ITS) by allowing vehicles to intelligently connect with everything. The advent of reconfigurable intelligent surfaces (RISs) has led to realizing the true potential of V2X communication. In this work, we propose a dual RIS-based vehicle-to-infrastructure (V2I) communication scheme. Following that, the performance of the proposed communication scheme is evaluated in terms of deriving the closed-form expressions for outage probability, spectral efficiency and energy efficiency. Finally, the analytical findings are corroborated with simulations which illustrate the superiority of the RIS-assisted vehicular networks.

Original languageEnglish
Title of host publication2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665454681
DOIs
StatePublished - 2022
Externally publishedYes
Event96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022 - London, United Kingdom
Duration: 26 Sep 202229 Sep 2022

Publication series

NameIEEE Vehicular Technology Conference
Volume2022-September
ISSN (Print)1550-2252

Conference

Conference96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Country/TerritoryUnited Kingdom
CityLondon
Period26/09/2229/09/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

  • Reconfigurable intelligent surface (RIS)
  • dual RIS
  • energy efficiency
  • spectral efficiency
  • vehicular communication

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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