Outage of Cognitive Electric Vehicle Networks over Mixed RF/VLC Channels with Signal-Dependent Noise and Imperfect CSI

Galymzhan Nauryzbayev, Mohamed Abdallah, Imran S. Ansari, Naofal Al-Dhahir, Khalid Qaraqe

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

In this paper, we propose a novel jamming-robust communication technique for the outdoor cognitive EV-enabled network over mixed radio-frequency (RF)/visible light communication (VLC) channels with signal-dependent noise. One EV acts as a relaying node to allow an aggregator to reach the jammed EV and, at the same time, operates in both RF and VLC spectrum bands while satisfying interference constraints imposed by the primary network entities. We derive an exact closed-form analytical expression for the outage probability and also provide its asymptotic analysis while considering various channel state information quality scenarios. Finally, simulation results validate the accuracy of our analysis.

Original languageEnglish
Article number9072599
Pages (from-to)6828-6832
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number6
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Cognitive radio (CR)
  • electrical vehicle (EV)
  • outage probability (OP)
  • visible light communication (VLC)

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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