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A proposal for a mobile communication traffic forecasting method using time-series analysis for multi-variate data

机译:使用时间序列分析进行多变化数据的移动通信业务预测方法的提案

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In the present mobile network, the management of the radio resource to connect users and edge networks is an important issue. If there is a rapid rise in traffic coming into the network, regulation methods such as admission control or mission avoidance are the only way of dealing with this. Since it is beyond the mobile network system's capability to predict fluctuations in traffic for every area, there are great difficulties in realizing other control methods. In order to solve these problems, this paper proposes a method of forecasting traffic systematically based on the user's properties and information about the environment.
机译:在本移动网络中,控制用户和边缘网络的无线电资源的管理是一个重要问题。 如果进入网络的交通迅速增加,则录取控制或使命避免的监管方法是处理此问题的唯一方法。 由于超出了移动网络系统的能力,以预测每个区域的流量波动,因此实现其他控制方法存在很大的困难。 为了解决这些问题,本文提出了一种基于用户的属性和有关环境的信息来系统地预测流量的方法。

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