OUTAGE OF COGNITIVE ELECTRIC VEHICLE NETWORKS OVER MIXED RF/VLC CHANNELS WITH SIGNAL-DEPENDENT NOISE AND IMPERFECT CSI

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Nauryzbayev, Galymzhan
Abdallah, Mohamed
Ansari, Imran S.
Qaraqe, Khalid

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Institute of Electrical and Electronics Engineers

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.

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Nauryzbayev, G., Abdallah, M., Ansari, I. S., Al-Dhahir, N., & Qaraqe, K. (2020). Outage of Cognitive Electric Vehicle Networks Over Mixed RF/VLC Channels With Signal-Dependent Noise and Imperfect CSI. IEEE Transactions on Vehicular Technology, 69(6), 6828–6832. https://doi.org/10.1109/tvt.2020.2981871

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