论文标题
混合RF/VLC通道上的认知电动车辆网络的中断分析
Outage Analysis of Cognitive Electric Vehicular Networks over Mixed RF/VLC Channels
论文作者
论文摘要
现代运输基础设施被认为是散发到大气中的温室气体的主要来源之一。这种情况要求决策参与者进行大规模使用电动汽车（EV），而电动汽车（EV）反过来又需要新颖的安全通信技术对各种网络攻击。因此，在本文中，我们提出了一种新型的室外认知电动汽车网络案例（RF）/可见光通信（VLC）通道，为不同的室外认知EV网络案例提出了一种新颖的干扰式通信技术。一个EV充当继电器节点，允许聚合器到达堵塞的EV，同时在RF和VLC频谱频段中同时运行，同时满足主要网络实体施加的干扰约束。我们为中断概率提供了精确的闭合形式分析表达式，并在考虑各种通道状态信息质量方案的同时提供了渐近分析。此外，我们通过部署这种混合VLC/RF通道来量化可实现的停电减少。最后，分析和仿真结果验证了我们分析的准确性。
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, we propose a novel jamming-robust communication technique for different outdoor cognitive EV-enabled network cases over mixed radio-frequency (RF)/visible light communication (VLC) channels. 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 exact closed-form analytical expressions for the outage probability and also provide their asymptotic analysis while considering various channel state information quality scenarios. Moreover, we quantify the outage reduction achievable by deploying such mixed VLC/RF channels. Finally, analytical and simulation results validate the accuracy of our analysis.
