Vehicle-to-everything (V2X) communication aims to achieve significantly improved safety and traffic efficiency, more particularly at road intersection where high percentage of accidents usually occur. The existing vehicular radio frequency (V-RF) based V2X utilizes relaying for improving safety message dissemination at road intersections. For a high traffic density scenario, the V-RF communication with relaying solution may suffer from large latency and low packet delivery rates due to channel congestion. In this paper, we explore cooperative non-orthogonal multiple access (NOMA) communication assisted hybrid vehicular visible light communication (V-VLC) and V-RF communication for improving safety message dissemination and enabling massive connectivity among vehicles for road intersection scenarios. We develop a stochastic geometry based analytical framework to model cooperative NOMA (C-NOMA) transmissions subject to interference imposed by other vehicles on roads. We also examine the impact of vehicles headlights radiation pattern viz. Lambertian and empirical path loss models on statistical characterization of the proposed C-NOMA supported hybrid solution. Our numerical findings reveal that C-NOMA assisted hybrid V-VLC/V-RF system leads to considerable improvement in outage performance and average achievable rate as compared to traditional V-RF solution with relaying. Interestingly, Lambertian model offers a lower outage and higher average achievable rate compared to the empirical model for the proposed hybrid solution. Further, we observe the performance improvement using maximal ratio combining (MRC) considering NOMA transmission for the proposed hybrid solution. The presented framework may serve as an alternative for cooperative intelligent transportation system (C-ITS) to meet diverse application needs for beyond 5G (B5G) V2X networks.

车联网 (V2X) 通信旨在显着提高安全性和交通效率，尤其是在通常发生高比例事故的道路交叉口处。现有的基于车载射频 (V-RF) 的 V2X 利用中继来改善道路交叉口的安全信息传播。对于高流量密度场景，采用中继解决方案的 V-RF 通信可能会因信道拥塞而遭受大延迟和低数据包传输率的影响。在本文中，我们探索了协作非正交多址 (NOMA) 通信辅助混合车辆可见光通信 (V-VLC) 和 V-RF 通信，以改善安全信息的传播，并在道路交叉口场景中实现车辆之间的大规模连接。我们开发了一个基于随机几何的分析框架来模拟协作 NOMA (C-NOMA) 传输，这些传输会受到道路上其他车辆的干扰。我们还检查了车辆前灯辐射模式的影响，即。提出的 C-NOMA 支持的混合解决方案的统计表征的 Lambertian 和经验路径损耗模型。我们的数值研究结果表明，与具有中继的传统 V-RF 解决方案相比，C-NOMA 辅助的混合 V-VLC/V-RF 系统可显着提高中断性能和平均可实现速率。有趣的是，与所提出的混合解决方案的经验模型相比，Lambertian 模型提供了更低的中断和更高的平均可实现率。更远，我们观察到在提出的混合解决方案中考虑到 NOMA 传输，使用最大比合并 (MRC) 的性能改进。所提出的框架可以作为协作智能交通系统 (C-ITS) 的替代方案，以满足超过 5G (B5G) V2X 网络的各种应用需求。