Performance Analysis for mixed RF/VLC-based Cognitive Electric Vehicle Networks with Imperfect CSI
ID:1998 View Protection:ATTENDEE Updated Time:2021-12-03 14:44:25 Hits:241 Poster Presentation

Start Time:2021-12-17 08:52(Asia/Shanghai)

Duration:1min

Session:P2 Poster2021 » P2T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
In this paper, aiming at outdoor cognitive electric vehicle (EV) network, a novel anti-interference robust communication scheme is studied over mixed visible light communication (VLC)/radio-frequency (RF) links. Considering underlay cognitive mode, one EV in the second network can help the primary user to communicate with another jammed EV through VLC/RF channels, which is under the interference constraint defined by the primary system. Moreover, the RF channels in the investigated network experience Nakagami-m fading while the VLC channels follow Rician fading. Considering relative channel estimation error, the closed-form system outage performance of this scheme is derived, which is perfectly match simulation results. Finally, the superiority of the mixed VLC/RF scheme to only RF scheme can be obviously observed through numerical results under different shape index of Rician fading, RF channel fading parameter and channel state information (CSI) conditions.
Keywords
CICTP
Speaker
Yang Zhang
Chang'an University

Submission Author
Yang Zhang Chang'an University
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  • Conference Date

    Dec 17

    2021

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    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

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Chang'an University
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