Vehicle-to-everything (V2X) communication is a key enabler that connects vehicles to neighboring vehicles, infrastructure and pedestrians. In the past few years, multimedia services have seen an enormous growth and it is expected to increase as more devices will utilize infotainment services in the future i.e. vehicular devices. Therefore, it is important to focus on user centric measures i.e. quality-of-experience (QoE) such as video quality (resolution) and fluctuations therein. In this paper, a novel joint video quality selection and resource allocation technique is proposed for increasing the QoE of vehicular devices. The proposed approach exploits the queuing dynamics and channel states of vehicular devices, to maximize the QoE while ensuring seamless video playback at the end users with high probability. The network wide QoE maximization problem is decoupled into two subparts. First, a network slicing based clustering algorithm is applied to partition the vehicles into multiple logical networks. Secondly, vehicle scheduling and quality selection is formulated as a stochastic optimization problem which is solved using the Lyapunov drift plus penalty method. Numerical results show that the proposed algorithm ensures high video quality experience compared to the baseline. Simulation results also show that the proposed technique achieves low latency and high-reliability communication.

中文翻译：

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通过资源切片增强车载网络中的视频流

车对一切 (V2X) 通信是将车辆与相邻车辆、基础设施和行人连接起来的关键推动因素。在过去几年中，多媒体服务出现了巨大的增长，并且随着未来更多设备（即车载设备）将使用信息娱乐服务，多媒体服务预计还会增加。因此，重要的是关注以用户为中心的措施，即体验质量 (QoE)，例如视频质量（分辨率）及其波动。在本文中，提出了一种新的联合视频质量选择和资源分配技术，以提高车载设备的 QoE。所提出的方法利用了车载设备的排队动态和信道状态，以最大限度地提高 QoE，同时确保最终用户以高概率进行无缝视频播放。网络范围的 QoE 最大化问题被分解为两个子部分。首先，应用基于网络切片的聚类算法将车辆划分为多个逻辑网络。其次，车辆调度和质量选择被表述为一个随机优化问题，使用 Lyapunov 漂移加惩罚方法解决。数值结果表明，与基线相比，所提出的算法确保了更高的视频质量体验。仿真结果还表明，所提出的技术实现了低延迟和高可靠性的通信。车辆调度和质量选择被表述为一个随机优化问题，该问题使用 Lyapunov 漂移加惩罚方法解决。数值结果表明，与基线相比，所提出的算法确保了更高的视频质量体验。仿真结果还表明，所提出的技术实现了低延迟和高可靠性的通信。车辆调度和质量选择被表述为一个随机优化问题，该问题使用 Lyapunov 漂移加惩罚方法解决。数值结果表明，与基线相比，所提出的算法确保了更高的视频质量体验。仿真结果还表明，所提出的技术实现了低延迟和高可靠性的通信。