Performance Analysis for mixed RF/VLC-based Cognitive Electric Vehicle Networks with Imperfect CSI
编号:1998 访问权限:仅限参会人 更新:2021-12-03 14:44:25 浏览:101次 张贴报告

报告开始:2021年12月17日 08:52(Asia/Shanghai)

报告时间:1min

所在会场:[P2] Poster2021 [P2T1] Track 1 Advanced Transportation Information and Control Engineering

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摘要
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.
关键词
CICTP
报告人
Yang Zhang
Chang'an University

稿件作者
Yang Zhang Chang'an University
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

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Chinese Overseas Transportation Association
Chang'an University
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