Alessandro Brighenti, Matteo Drago, Tommaso Zugno, M. Zorzi, P. Casari
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引用次数: 0
Abstract
One of the main challenges of future automotive networks is the need to make vehicles aware of their surroundings. Each car will be required to collect data about the environment through dedicated sensors, and share it with its neighbors. Communicating in the millimeter wave spectrum could provide a solution for addressing such requirements. The huge amount of bandwidth available at millimeter wave frequencies, along with an optimized use of the physical resources, could provide massive data rates and low latency capabilities and enable the dissemination of real-time information. In this paper, we focus on platoons of vehicles that share LiDAR pointclouds with their platoon leader, and we use MilliCar, the ns-3 module based on the 3GPP NR V2X specifications, to provide an end-to-end performance evaluation. In particular, we study the trade-offs between using a semi-persistent resource allocation of time slots, with respect to a contention-based approach. By comparing different scheduling alternatives and different clear channel assessment thresholds, we show that coordination among different platoons can mitigate the inter-platoon interference and increase the reliability, whereas a contention-based approach achieves lower transmission delay.
未来汽车网络的主要挑战之一是需要让车辆了解周围环境。每辆车都需要通过专用传感器收集有关环境的数据,并与相邻车辆共享。在毫米波频谱中通信可以为满足这些需求提供解决方案。毫米波频率下的大量可用带宽,以及对物理资源的优化利用,可以提供巨大的数据速率和低延迟能力,并实现实时信息的传播。在本文中,我们将重点放在与排长共享激光雷达点云的车辆排上,并使用基于3GPP NR V2X规范的ns-3模块MilliCar来提供端到端的性能评估。特别是,我们研究了使用半持久的时隙资源分配与基于争用的方法之间的权衡。通过比较不同的调度方案和不同的清晰信道评估阈值,我们发现不同排之间的协调可以减少排间干扰,提高可靠性,而基于竞争的方法可以降低传输延迟。