Leveraging MEC in a 5G System for Enhanced Back Situation Awareness

2020 IEEE 45th Conference on Local Computer Networks (LCN) Pub Date : 2020-11-16 DOI:10.1109/LCN48667.2020.9314838

Rreze Halili, F. Z. Yousaf, Nina Slamnik-Kriještorac, Girma M. Yilma, M. Liebsch, E. B. Silva, S. Hadiwardoyo, Rafael Berkvens, M. Weyn

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引用次数: 3

Abstract

5G has opened up possibilities of introducing new use cases and business models that could not be perceived before. In the context of public safety, 5G offers immense opportunities towards enhancing mission success and situation awareness during emergency management. This paper introduces Back-Situation Awareness (BSA) application enabling early warning/notification to vehicles of an approaching emergency vehicle indicating its presence and the time it will arrive. Such an application is expected to give drivers enough time to create a safety corridor for the emergency vehicle to pass through safely and unhindered. We provide details on the system and application design of the BSA application leveraging Multi-Access Edge Computing (MEC) systems that complement the 5G mobile communication system. An evaluation of the application is provided by using data measurements and indicating the accuracy of the computation and notification of the Estimated Time of Arrival (ETA) based on the ETSI C-ITS protocol messages.

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在5G系统中利用MEC增强后方态势感知

5G开辟了引入以前无法感知的新用例和商业模式的可能性。在公共安全的背景下，5G为在应急管理过程中提高任务成功率和态势感知提供了巨大的机会。本文介绍了一种能够向车辆早期预警/通知正在接近的紧急车辆的存在和到达时间的后台态势感知(BSA)应用程序。这样的应用程序预计会给司机足够的时间来创建一个安全走廊，让紧急车辆安全无阻地通过。我们详细介绍了利用多接入边缘计算(MEC)系统来补充5G移动通信系统的BSA应用程序的系统和应用程序设计。通过使用数据测量和指示基于ETSI C-ITS协议消息的估计到达时间(ETA)的计算和通知的准确性，提供了应用程序的评估。

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2020 IEEE 45th Conference on Local Computer Networks (LCN)

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