Modern transportation infrastructures are considered as one of the main sources of the greenhouse gases emitted into the atmosphere. This situation requires the decision-making players to enact the mass use of electric vehicles (EVs) which, in turn, highly demand novel secure communication technologies robust to various cyber-attacks. Therefore, in this paper, a novel jamming-robust communication method is proposed for different outdoor cognitive EV-enabled network scenarios over mixed radio-frequency (RF)/visible light communication (VLC) channels. One EV is designated to act as a relay enabling an aggregator to communicate with a jammed vehicle. This relay operates in both RF and VLC spectrum bands while meeting the interference restrictions defined by the primary network. Considering perfect and imperfect channel state information, exact closed-form analytical expressions are derived for the outage probability and their asymptotic analysis is provided. Moreover, we quantify the outage reduction achievable by deploying such mixed VLC/RF channels. Finally, analytical results are validated by Monte Carlo simulations.

中文翻译：

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混合 RF/VLC 通道上的认知电动汽车网络的中断分析


现代交通基础设施被认为是向大气排放温室气体的主要来源之一。这种情况要求决策者大规模使用电动汽车（EV），而这反过来又迫切需要能够抵御各种网络攻击的新型安全通信技术。因此，本文提出了一种新颖的抗干扰通信方法，适用于混合射频（RF）/可见光通信（VLC）信道上的不同户外认知电动汽车网络场景。一辆电动汽车被指定充当中继器，使聚合器能够与堵塞的车辆进行通信。该中继在 RF 和 VLC 频段上运行，同时满足主网络定义的干扰限制。考虑完美和不完美的信道状态信息，推导了中断概率的精确闭式解析表达式，并提供了它们的渐近分析。此外，我们还量化了通过部署此类混合 VLC/RF 通道可实现的停电减少量。最后，通过蒙特卡罗模拟验证了分析结果。