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VLC-Assisted Safety Message Dissemination in Roadside Infrastructure-Less IoV Systems: Modeling and Analysis

  • Yuncong Xie
  • , Dongyang Xu
  • , Tiantian Zhang
  • , Keping Yu
  • , Amir Hussain
  • , Mohsen Guizani
  • Xi'an Jiaotong University
  • Southeast University, Nanjing
  • Hosei University
  • Edinburgh Napier University
  • Mohamed Bin Zayed University of Artificial Intelligence

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Internet of Vehicles (IoV) is an emerging paradigm with significant potential to improve traffic efficiency and driving safety. Here, we focus on the design of a novel visible light communication (VLC)-assisted scheme to enable driving safety-related Internet of Vehicles (IoV) services that require ultrareliable and low-latency communications (URLLC). Specifically, the Vehicle-to-Vehicle (V2V) communication mode is adopted to satisfy the ultralow latency requirement of URLLC in roadside infrastructure-less IoV systems. In the outdoor V2V- VLC scenarios, the quality of the received optical signal is degraded by path loss, atmospheric turbulence and additive noise. In addition, the short-packet feature of URLLC introduces inevitable data decoding errors and imperfect channel state information (CSI). With this background, we aim to investigate the reliability performance of URLLC in outdoor V2V- VLC systems, which is described by the average packet loss probability under given user-plane transmission latency. First, we consider the ideal case of a perfect CSI at the receiver, and derive an analytical expression of average packet loss probability. Further, a closed-form approximation is provided to simplify the numerical calculation. Next, we extend the theoretical analysis to a practical V2V- VLC system with imperfect CSI at the receiver. Through numerical results, we validate the accuracy of our designed theoretical framework and propose ideas to enable driving safety-related IoV services in outdoor V2V- VLC systems.

Original languageEnglish
Pages (from-to)8185-8198
Number of pages14
JournalIEEE Internet of Things Journal
Volume11
Issue number5
DOIs
StatePublished - 1 Mar 2024

Keywords

  • Internet of Vehicles (IoV)
  • Vehicle-to- Vehicle (V2V)
  • short packet
  • ultra- reliable and low-latency communications (URLLC)
  • visible light communication (VLC)

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