TY - JOUR
T1 - Outage of Cognitive Electric Vehicle Networks over Mixed RF/VLC Channels with Signal-Dependent Noise and Imperfect CSI
AU - Nauryzbayev, Galymzhan
AU - Abdallah, Mohamed
AU - Ansari, Imran S.
AU - Al-Dhahir, Naofal
AU - Qaraqe, Khalid
N1 - Funding Information:
Manuscript received April 29, 2019; revised December 21, 2019; accepted March 5, 2020. Date of publication April 20, 2020; date of current version June 18, 2020. This work was supported by the Nazarbayev University Faculty Development Competitive Research Program under Grant 240919FD3935 (SEDS2020014). The review of this article was coordinated by Dr. X. Dong. (Corresponding author: Galymzhan Nauryzbayev.) Galymzhan Nauryzbayev is with the Department of Electrical and Computer Engineering (ECE), School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan City 010000, Kazakhstan (e-mail: [email protected]).
Publisher Copyright:
© 1967-2012 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - 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.
AB - 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.
KW - Cognitive radio (CR)
KW - electrical vehicle (EV)
KW - outage probability (OP)
KW - visible light communication (VLC)
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U2 - 10.1109/TVT.2020.2981871
DO - 10.1109/TVT.2020.2981871
M3 - Article
AN - SCOPUS:85087336622
SN - 0018-9545
VL - 69
SP - 6828
EP - 6832
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 6
M1 - 9072599
ER -