基于LightGBM算法的基站小区智慧节能研究

Research on Intelligent Energy-Saving of Base Station Cells Based on LightGBM Algorithm

随着5G时代的到来,移动通信网络数据增长与高能耗问题之间的矛盾进一步加剧,节能降耗成为了未来移动通信行业可持续发展的首要需求。通过对基站小区的历史数据和基础信息数据进行分析,结合业务知识和实践经验完成特征工程构建,并应用LightGBM算法对数据集进行模型训练。构建基站小区节能预测模型,实现对基站小区未来潜在节能的时间段进行预测。从而在保证业务承载和覆盖的前提下,生成节能优化策略,指导基站小区智慧节能。

With the arrival of the 5G era,the contradiction between the growth of mobile communication network data and the problem of high energy consumption has further intensified,Energy-Saving and Consumption-Reduction has become the primary demand for the sustainable development of the mobile communication industry in the future. Through analyzing the historical data and basic information data of the base station cells,combining business knowledge and practical experience to complete the feature engineering construction,and applying the LightGBM algorithm to the dataset for model training. Construct a Base Station Cells Energy-Saving Prediction Model to realize the prediction of the potential Energy-Saving time period for the base station cells in the future. Thus,on the premise of ensuring service bearing and coverage,an Energy-Saving optimization strategy is generated to guide the smart Energy-Saving of the base station cells.