在网络边缘提供终端行为预测

2019 IEEE XXVIII International Scientific Conference Electronics (ET) Pub Date : 2019-09-01 DOI:10.1109/ET.2019.8878631

E. Pencheva, I. Atanasov, Ivaylo Asenov, V. Trifonov

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引用次数: 1

摘要

数据分析将在第五代(5G)网络中发挥关键作用。多接入边缘计算(MEC)将云智能分布在网络边缘，可以提供分析数据，优化用户体验质量和网络性能。在本文中，我们提出了一个扩展现有的MEC服务，提供实际的无线网络信息。建议的扩展使部署在网络边缘的应用程序能够向网络发送预测用户行为信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Provisioning of UE Behavior Prognostics at the Network Edge

Data analytics will play a key role in fifth generation (5G) networks. Multi-access edge computing (MEC) which distributes cloud intelligence at the network edge can provide analytics data that optimize user quality of experience and network performance. In this paper, we propose an extension to existing MEC service which provides actual radio network information. The proposed extension enables applications deployed at the network edge to send prognostic user behavior information to the network.

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来源期刊

2019 IEEE XXVIII International Scientific Conference Electronics (ET)

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