基于网络软件的开放式5G NFV智慧城市应用平台

A. P. Silva, Monchai Bunyakitanon, R. Vassallo, R. Nejabati, D. Simeonidou
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引用次数: 3

摘要

先进的无线通信网络试验台现已广泛部署在欧洲和跨大陆。这为垂直行业和学术界提供了一个有趣的机会,可以在真正部署之前进行实验和验证。在本文中,我们提出了5GinFIRE作为开放5G(网络功能虚拟化(NFV)生态系统和游乐场的适当灵活的平台。在此平台之上,我们设计并部署了一个智慧城市安全系统作为垂直用例,通过NFV和机器学习的结合探索5G功能,提供端到端通信和低延迟的智慧城市服务。这个安全系统可以帮助侦测城市中的罪犯,并向安全中心发送通知。一种虚拟网络功能(VNF)已经被开发出来,可以在云端或网络边缘实现视频转码、人脸检测和识别。整个系统的验证通过室内(智能互联网实验室)和室外(布里斯托尔千禧广场)的用例部署来执行。我们展示了VNF规范,并根据体验质量(QoE)对带宽、响应时间、处理时间和传输速度进行了定量分析。
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An Open 5G NFV Platform for Smart City Applications Using Network Softwarization
Advanced wireless communication network testbeds are now widely being deployed around European and cross-continental. This represents an interesting opportunity for vertical industry and academia to perform experimentation and validation before a real deployment. In this paper, we present 5GinFIRE as a suitably flexible platform towards open 5G (Network Function Virtualization (NFV) ecosystem and playground. On top of this platform, we designed and deployed a smart city safety system as a vertical use case, exploring 5G capabilities through a combination of NFV and machine learning to provide end-to-end communication and low latency smart city service. This safety system helps detecting criminals along the city and sending a notification to the security center. A Virtual Network Function (VNF) has been developed to enable video transcoding, face detection and recognition at the cloud or the edge of the network. The validation of the overall system is performed through the deployment of the use case indoor (Smart Internet Lab) and outdoor (Millennium Square Bristol). We show the VNF specification and present a quantitative analysis in terms of bandwidth, response time, processing time and transmission speed in terms of Quality of Experience (QoE).
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