论文标题
在下一代网络中基于ML/AI的移动服务使用预测
Towards ML/AI-based Prediction of Mobile Service Usage in Next-Generation Networks
论文作者
论文摘要
下一代网络中机器学习技术的采用越来越吸引研究界的关注。这是为了提供自适应学习和决策方法，以满足不同的垂直领域的要求，并保证在复杂的移动性场景中提供适当的绩效要求。从这个角度来看，移动服务用法的表征代表了基本的一步。在此论文中，本文重点介绍了其第二版[12]中“网络切片计划者”（NSP）提供的新功能和功能。它还提出了一种结合受监督和无监督学习技术的方法，以分析在服务消费方面的大量移动用户的行为。我们利用NSP V2提供的数据进行分析。此外，我们还评估了预测因子的准确性和基础MEC基础架构的性能。
The adoption of machine learning techniques in next-generation networks has increasingly attracted the attention of the research community. This is to provide adaptive learning and decision-making approaches to meet the requirements of different verticals, and to guarantee the appropriate performance requirements in complex mobility scenarios. In this perspective, the characterization of mobile service usage represents a funda-mental step. In this vein, this paper highlights the new features and capabilities offered by the "Network Slice Planner"(NSP) in its second version [12]. It also proposes a method combining both supervised and unsupervised learning techniques to analyze the behavior of a mass of mobile users in terms of service consumption. We exploit the data provided by the NSP v2 to conduct our analysis. Furthermore, we provide an evaluation of both the accuracy of the predictor and the performance of the underlying MEC infrastructure.
