Along with supporting new business opportunities, data analytics -- understood as the pursuit of extracting meaning from raw data -- will be key to getting 5G radio access networks (RANs) efficiently rolled out and operated. The exploitation of data analytics services within the RAN itself, that is, to empower the operation of the RRM algorithms executed within the RAN nodes, is an incipient area of interest that broadens the more well-established applicability of using data analytics for on-top-of-the-RAN operations. In this respect, this article is an attempt to put a spotlight on this topic by motivating a plausible data analytics architectural framework for data-driven, smarter RRM algorithms.

中文翻译：

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5G 无线接入网络中更智能的无线资源管理的数据分析架构框架


除了支持新的商业机会之外，数据分析（被理解为从原始数据中提取意义）将是高效部署和运营 5G 无线接入网络 (RAN) 的关键。 RAN 本身内数据分析服务的利用，即支持 RAN 节点内执行的 RRM 算法的操作，是一个新兴的兴趣领域，它拓宽了使用数据分析进行顶层的更成熟的适用性。 -of-the-RAN 操作。在这方面，本文试图通过为数据驱动、更智能的 RRM 算法提供一个合理的数据分析架构框架来关注这一主题。