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在集成动脉/Simu5G模拟框架中实施MEC辅助集体感知

Gergely Attila Kovács^1,2, László Bokor^1,2

¹Department of Networked Systems and Services, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

Sensors (Basel, Switzerland)

|September 28, 2023

概括

本研究将5G网络模拟与V2X模拟集成在一起,以测试先进的合作感知应用程序. 结果显示,多访问边缘计算 (MEC) 可以有效支持V2X安全服务.

科学领域:

电信工程电信工程电信工程
智能运输系统智能运输系统
计算机网络计算机网络.

背景情况:

先进的车辆到一切 (V2X) 安全应用要求超低延迟和高可靠性.
像集体感知 (CP) 这样的合作V2X应用程序产生了大量的数据流,需要强大的技术支持.
5G核心架构引入了支持技术,例如多访问边缘计算 (MEC).

研究的目的:

提出一个综合模拟框架,将5G网络元素与V2X模拟器结合起来.
评估MEC在支持V2X合作应用中的表现.
为了证明MEC辅助的集体感知 (CP) 服务的可行性.

主要方法:

集成Simu5G (5G网络模拟器) 和动脉 (V2X模拟器).
开发Simu5G的扩展,用于边缘实现,以发送集体感知信息 (CPM).
模拟MEC服务器通过5G连接处理来自车辆的输入数据.

主要成果:

综合模拟框架成功证明了系统的可操作性.
边缘计算,特别是MEC,在协助V2X场景方面显示出显著的潜力.
拟议的边缘应用程序有效地发送用于MEC处理的CPM.

结论:

综合模拟框架是测试先进V2X应用程序的可行工具.
集成MEC是一个有前途的方法来提高V2X安全服务的性能.
基于这些发现,MEC辅助的CP服务的进一步发展是合理的.

关键词:

5G/6G 5G/6G 5G/6G 5G/6G 5G/6G 5G/6G 5G 5G 5G/6G 5G 5G 5G 5G 5G 5G 5G 5G 6G 5G 6G 5G 5G 6G 5G 5G 6G 5G 5G 5G 6G 5G 5G 6G 5G 5G 5G 5G 6G 5G 5G 6G 5G 5G 6G 5G 5G 5G 6G 5G 5G 5G 5G 6G 5G 6G 5G 5G 5G 6G 6G 5G 6G 5G 5G 5G 5G 6G 6G 6G 6G 6G 5G 5G 5G 6G 5G 6G 6G 6G 6G 5G 6G 6G 6G 6G 在Simu5G/动脉/OMNeT++模拟中.在V2X/C-V2X中使用V2X.集体感知是集体的感知.多访问边缘计算边缘计算

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