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

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.

[1]  Mohammed M. Bait-Suwailam,et al.  Design and implementation of a vehicle to vehicle communication system using Li-Fi technology , 2015, 2015 International Conference on Information and Communication Technology Research (ICTRC).

[2]  Hsin-Mu Tsai,et al.  Smart automotive lighting for vehicle safety , 2013, IEEE Communications Magazine.

[3]  Björn E. Ottersten,et al.  Exploring Different Receiver Structures for Radio over FSO Systems with Signal Dependent Noise , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[4]  Ming Chen,et al.  On the BER performance of relay-aided free-space optical communications in the presence of input-dependent noise , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[5]  Yongjin Wang,et al.  Improvement of BER performance by tilting receiver plane for indoor visible light communications with input-dependent noise , 2017, 2017 IEEE International Conference on Communications (ICC).

[6]  Gang Chen,et al.  Traffic light to vehicle visible light communication channel characterization. , 2012, Applied optics.

[7]  Tony Markel,et al.  Communication and Control of Electric Vehicles Supporting Renewables: Preprint , 2009 .

[8]  Mohsen Guizani,et al.  Securing vehicle-to-grid communications in the smart grid , 2013, IEEE Wireless Communications.

[9]  Mohamed-Slim Alouini,et al.  Order Statistics in Wireless Communications: Diversity, Adaptation, and Scheduling in MIMO and OFDM Systems , 2011 .

[10]  Harald Haas,et al.  Design and Analysis of a Hybrid Radio Frequency and Visible Light Communication System , 2017, IEEE Transactions on Communications.

[11]  William G. Cowley,et al.  Signal dependent Gaussian noise model for FSO communications , 2011, 2011 Australian Communications Theory Workshop.

[12]  Lajos Hanzo,et al.  Cooperative Load Balancing in Hybrid Visible Light Communications and WiFi , 2015, IEEE Transactions on Communications.

[13]  Yun Li,et al.  Outage performance analysis for outdoor vehicular visible light communications , 2017, 2017 9th International Conference on Wireless Communications and Signal Processing (WCSP).

[14]  Behrouz Maham,et al.  Performance Analysis of Underlay Cognitive Radio Nonorthogonal Multiple Access Networks , 2019, IEEE Transactions on Vehicular Technology.

[15]  Meikang Qiu,et al.  Secure wireless communication system for smart grid with rechargeable electric vehicles , 2012, IEEE Communications Magazine.

[16]  Galymzhan Nauryzbayev,et al.  Outage of SEE-OFDM VLC-NOMA Networks , 2019, IEEE Photonics Technology Letters.

[17]  Theodoros A. Tsiftsis,et al.  Outage Performance of Cooperative Underlay CR-NOMA With Imperfect CSI , 2019, IEEE Communications Letters.

[18]  Kyujin Lee,et al.  Performance analysis of visible light communication using the STBC-OFDM technique for intelligent transportation systems , 2014 .