Article · IEEE Transactions on Cognitive Communications and Networking · April 28, 2020

Outage Analysis of Cognitive Electric Vehicular Networks Over Mixed RF/VLC Channels

Galymzhan Nauryzbayev, Mohamed M. Abdallah, Naofal Al‐Dhahir

Abstract

Modern transportation infrastructures are considered as one of the main sources of the greenhouse gases emitted into the atmosphere. This situation requires the decision-making players to enact the mass use of electric vehicles (EVs) which, in turn, highly demand novel secure communication technologies robust to various cyber-attacks. Therefore, in this paper, a novel jamming-robust communication method is proposed for different outdoor cognitive EV-enabled network scenarios over mixed radio-frequency (RF)/visible light communication (VLC) channels. One EV is designated to act as a relay enabling an aggregator to communicate with a jammed vehicle. This relay operates in both RF and VLC spectrum bands while meeting the interference restrictions defined by the primary network. Considering perfect and imperfect channel state information, exact closed-form analytical expressions are derived for the outage probability and their asymptotic analysis is provided. Moreover, we quantify the outage reduction achievable by deploying such mixed VLC/RF channels. Finally, analytical results are validated by Monte Carlo simulations.

Optical Wireless Communication TechnologiesVehicular Ad Hoc Networks (VANETs)Wireless Communication Security Techniquesoutage probabilitycognitive radiovisible light communication

Outage Analysis of Cognitive Electric Vehicular Networks Over Mixed RF/VLC Channels

Abstract

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