无线电通信技术2024，Vol.50Issue(4)：631-639,9.DOI:10.3969/j.issn.1003-3114.2024.04.003
基于T-GCN的4G/5G基站节能减排智能决策系统
T-GCN Based Intelligent Decision-making System of 4G/5G Base Stations for Energy Saving and Emission Reduction
付博涵 1刘思成 1廖光正 1刘其梵 1李子怡1
作者信息
- 1. 北京邮电大学电子工程学院,北京 100876
- 折叠
摘要
Abstract
With the rapid development of 4G/5G mobile internet,in order to meet the growing traffic demand and improve the cov-erage of cellular networks,the traffic load of base stations is increasing explosively.In the context of global energy shortage,in order to achieve the goal of carbon peak and carbon neutrality,without reducing communication quality,it is an important issue to know how to accurately switch the base stations to reduce their energy consumption to the minimum.Therefore,based on the grid model and the base station energy-consuming calculation model,an intelligent base station decision system based on Temporal-Graph Convolutional Network(T-GCN)prediction and self-designed heuristic algorithm is proposed to realize intelligent opening and closing of base stations.At the same time,it is guaranteed to meet the practical constraints,so as to improve network resource management efficiency and optimize network energy consumption performance.Simulation experiment show that the flow-predicting consequence is good and an ideal decision result of base station switch is obtained in a certain range.关键词
节能/时间图卷积网络流量预测/启发式关断决策算法/基站智能开关Key words
energy-saving/T-GCN traffic prediction/heuristic algorithm for switching decision/intelligent switch for base stations分类
信息技术与安全科学引用本文复制引用
付博涵,刘思成,廖光正,刘其梵,李子怡..基于T-GCN的4G/5G基站节能减排智能决策系统[J].无线电通信技术,2024,50(4):631-639,9.
