多用途信息:车载广播环境下的智能反馈

Christopher Lehmann, E. Rupp, Huanzhuo Wu, Andreas Ingo Grohmann, F. Fitzek
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引用次数: 0

摘要

在全球化时代,交通运输业的规模正在迅速增长。在碳中和的背景下,相关的资源消耗,如燃料,是一个迫切需要减少的目标。车队应用有望显著降低运输领域的燃油消耗,尤其是重型卡车的货物运输。然而,保持车队中车辆之间的稳定连接是一项挑战。特别是当队列往往会产生大量数据时,这可能会导致密集交通场景下的信道拥塞。为了解决这一挑战,我们提出了一种利用队列特定拓扑的广播方案,以低开销实现超可靠低延迟通信(URLLC)数据交换。具体来说,我们提出的多用途消息(MPM)方法使数据在下游方向流动,同时在上游方向产生智能反馈机制,用于错误检测和错误纠正。为了评估这个概念,我们提出了三种策略来优化方案的延迟和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Purpose Messages: Intelligent Feedback Providing in Vehicular Broadcast Environment
In the era of globalization, the scale of transportation segments is increasing rapidly. The related resource consumption, such as fuel, is an urgent target for reduction in the context of carbon neutrality. The platooning application promises to significantly reduce fuel consumption in the transportation segment, especially for the transport of goods in heavy-duty trucks. However, maintaining stable connectivity between the vehicles in the platoon is challenging. Especially as platoons tend to generate much data, which can lead to channel congestion in dense traffic scenarios. To address this challenge, we propose a broadcast scheme that exploits the platooning-specific topology to enable Ultra-Reliable Low-Latency Communication (URLLC) data exchange with low overhead. Specifically, our proposed Multi-Purpose Message (MPM) approach enables data to flow in the downstream direction while generating an intelligent feedback mechanism for error detection and error correction in the upstream direction. To evaluate the concept, we present three strategies to optimize the scheme for latency and reliability.
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