The use case of C-V2X for road safety requires real-time network connection and information exchanging between vehicles. In order to improve the reliability and safety of the system, intelligent networked vehicles need to move cooperatively to achieve network optimization. In this paper, we use the C-V2X sidelink mode 4 abstraction and the regression results of C-V2X network level simulation to formulate the optimization of packet reception rate (PRR) with fairness in the road safety scenario. Under the optimization framework, we design a controlled mobility algorithm for the transmission node to adaptively adjust its position to maximize the aggregated PRR using only one-hop information. Simulation result shows that the algorithm converges and improve the aggregated PRR and fairness for C-V2X mode broadcast messages.
翻译:C-V2X用于道路安全的情况需要实时的网络连接和车辆之间的信息交流。为了提高系统的可靠性和安全性,智能网络车辆需要合作移动,以实现网络优化。在本文中,我们使用C-V2X侧链接模式4的抽象和C-V2X网络级模拟的回归结果来制定在道路安全情景中公平优化包接收率(PRR)的方法。在优化框架下,我们设计了一种控制的流动算法,用于传输节点调整其位置,以便仅使用一手信息最大限度地实现汇总的PRR。模拟结果表明,算法汇集并改进了汇总的PRR和C-V2X模式广播信息的公平性。