Artificial intelligence for reducing the carbon emissions of 5G networks in China

被引：62

作者：

Li, Tong ^{[1
]}

Li, Yong ^{[1
]}

机构：

[1] Tsinghua Univ, Beijing, Peoples R China

来源：

NATURE SUSTAINABILITY | 2023年 / 6卷 / 12期

关键词：

D O I：

10.1038/s41893-023-01208-3

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

A data-driven framework has been developed to assess the carbon emissions of mobile networks in China, revealing that the launch of 5G networks leads to a decline in carbon efficiency. A deep reinforcement learning algorithm, DeepEnergy, is proposed to increase the carbon efficiency of mobile networks and reduce carbon emissions.

引用

页码：1522 / 1523

页数：2