netop/Beam-Level-Traffic-Timeseries-Dataset

这是一个关于5G通信网络的多变量时间序列数据集，旨在支持研究，以实现通信网络中KPIs的准确预测。数据集包括30个基站（每个基站3个小区，每个小区32个波束）的2880个波束的时间序列数据。数据集覆盖了5周的训练数据加上2个目标周的数据，总共包含840小时的训练时间和1176小时的总时间。

This is a multivariate time series dataset for 5G communication networks, designed to support research in enabling accurate prediction of KPIs across communication networks. The dataset includes time-series data for 2,880 beams across 30 base stations (3 cells per station, 32 beams per cell). It covers 5 weeks of training data plus 2 target weeks, totaling 840 hours of training time and 1176 hours of total time.