通过毫米波和可重构智能表面实现协作式自动驾驶

Michele Segata, M. Lestas, P. Casari, Taqwa Saeed, Dimitrios Tyrovolas, G. Karagiannidis, C. Liaskos
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引用次数: 1

摘要

未来的协作式自动驾驶汽车将能够组织成灵活的队列,以提高驾驶效率和安全性。然而,队列需要通过定期无线交换控制信息来进行可靠的协调。因此,在具有挑战性的传播场景中,例如在密集的城市地区,可能会阻碍协调并导致不受欢迎的车辆行为。虽然可重构智能路面(RISs)已被提倡作为不适当覆盖问题的解决方案,但目前还没有系统级仿真能够考虑现实道路机动性和通信方面的问题。为此,我们提出了一个这样的模拟器建立在基于omnet++的PLEXE和vein框架之上。具体来说,我们的贡献是一个考虑车辆移动性、物理层传播、RIS编码和网络协议的模拟器。为了测试我们的模拟器,我们在一个十字路口实施了一个RIS辅助的自主排合并机动,在这个十字路口,如果没有RIS,成功的通信将限制在一个靠近十字路口的危险区域。我们的研究结果验证了模拟器作为系统级RIS辅助协作自动驾驶车辆机动的可行工具,并最终显示了RIS作为无线覆盖扩展的路边基础设施的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enabling Cooperative Autonomous Driving through mmWave and Reconfigurable Intelligent Surfaces
Future cooperative autonomous vehicles will be able to organize into flexible platoons to improve both the efficiency and the safety of driving. However, platooning requires dependable coordination through the periodic wireless exchange of control messages. Therefore, challenging propagation scenarios as found, e.g., in dense urban areas, may hinder coordination and lead to undesirable vehicle behavior. While reconfigurable intelligent surfaces (RISs) have been advocated as a solution to improper coverage issues, no system-level simulation exists that accounts for realistic road mobility and communication aspects. To this end, we present one such simulator built on top of the OMNeT++-based PLEXE and Veins frameworks. Specifically, our contribution is a simulator that takes into account vehicle mobility, physical layer propagation, RIS coding, and networking protocols. To test our simulator, we implement an RIS-assisted autonomous platoon merging maneuver taking place at an intersection where the absence of any RIS would limit successful communications to an area dangerously close to the intersection itself. Our results validate the simulator as a feasible tool for system-level RIS-assisted cooperative autonomous vehicle maneuvering, and ultimately show the benefit of RIS as roadside infrastructure for wireless coverage extension.
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