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E-Auto: A Communication Scheme for Connected Vehicles with Edge-Assisted Autonomous Driving

机译：E-Auto：具有边缘辅助自动驾驶技术的互联车辆通信方案

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摘要

With the rapid advancement of automobile industry, autonomous driving in connected vehicles are expected to be the key technology to satisfy the expansion of human demands on more comfortable and safer driving experience. However, only on-board computation resources are insufficient to satisfy tough computation requirements of achieving full or even high automation. Therefore, autonomous driving with cloud/edge participation is desirable. In this paper, we propose E-Auto, a novel communication scheme to enable fast, stable, and accurate edge-assisted autonomous driving service for connected vehicles within any road types (e.g., driving on highway with very high speed or local roads with slow speed due to traffic congestion). In addition, as two key components of the proposed E-Auto scheme, a service period allocation algorithm and a frame resolution selection algorithm are designed to guarantee a sufficient frame rate for connected vehicles acquiring either uplink application (offload camera captured frames to the edge server) or downlink application (download entertainment videos). Through network simulations, we evaluate the performance of the proposed E-Auto scheme. Simulation results demonstrate that E-Auto can provide a high frame rate and low energy consumption autonomous driving service for connected vehicles.
机译：随着汽车工业的飞速发展，联网汽车中的自动驾驶有望成为满足人类对更舒适，更安全的驾驶体验的需求扩展的关键技术。然而，仅机载计算资源不足以满足满足完全或什至高度自动化的苛刻计算要求。因此，需要有云/边缘参与的自动驾驶。在本文中，我们提出了一种新型的通信方案E-Auto，该方案可为任何类型的道路上的互联车辆提供快速，稳定和准确的边缘辅助自动驾驶服务（例如，在超高速公路上行驶或在慢速本地道路上行驶）由于交通拥堵导致速度过快）。此外，作为提出的E-Auto方案的两个关键组成部分，设计了服务时段分配算法和帧分辨率选择算法，以确保有足够的帧速率，以使连接的车辆获得任一上行链路应用程序（将摄像机捕获的帧卸载到边缘服务器） ）或下行应用程序（下载娱乐视频）。通过网络仿真，我们评估了提出的E-Auto方案的性能。仿真结果表明，E-Auto可以为连接的车辆提供高帧率和低能耗的自动驾驶服务。

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