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

被引:0
|
作者
机构
来源
Nature Sustainability | 2023年 / 6卷
关键词
D O I
暂无
中图分类号
学科分类号
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
收藏
页码:1522 / 1523
页数:1
相关论文
共 50 条
  • [31] Potential of artificial intelligence in reducing energy and carbon emissions of commercial buildings at scale
    Ding, Chao
    Ke, Jing
    Levine, Mark
    Zhou, Nan
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [32] Artificial Intelligence in Beyond 5G and 6G Reliable Communications
    Nauman A.
    Nguyen T.N.
    Qadri Y.A.
    Nain Z.
    Cengiz K.
    Kim S.W.
    IEEE Internet of Things Magazine, 2022, 5 (01): : 73 - 78
  • [33] Revolutionizing connectivity: Unleashing the power of 5G wireless networks enhanced by artificial intelligence for a smarter future
    Pandi, Samuthira, V
    Uthayakumar, G. S.
    Aishwarya, D.
    Karthikeyan, S.
    Kamatchi, S.
    Gopinath, N.
    RESULTS IN ENGINEERING, 2024, 22
  • [34] An architecture and performance evaluation framework for artificial intelligence solutions in beyond 5G radio access networks
    Georgios P. Koudouridis
    Qing He
    György Dán
    EURASIP Journal on Wireless Communications and Networking, 2022
  • [35] An architecture and performance evaluation framework for artificial intelligence solutions in beyond 5G radio access networks
    Koudouridis, Georgios P.
    He, Qing
    Dan, Gyorgy
    EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2022, 2022 (01)
  • [36] Artificial intelligence linear regression model for mobility robustness optimization algorithm in 5G cellular networks*
    Saad, Sawsan Ali
    Shayea, Ibraheem
    Ahmed, Nada M. O. Sid
    ALEXANDRIA ENGINEERING JOURNAL, 2024, 89 (125-148) : 125 - 148
  • [37] Estimating Carbon Emissions of Artificial Intelligence
    Luccioni, Alexandra
    Lacoste, Alexandre
    Schmidt, Victor
    IEEE TECHNOLOGY AND SOCIETY MAGAZINE, 2020, 39 (02) : 48 - 51
  • [38] GUEST EDITORIAL: EDGE INTELLIGENCE FOR BEYOND 5G NETWORKS
    Zhang, Yan
    Feng, Zhiyong
    Moustafa, Hassnaa
    Ye, Feng
    Javaid, Usman
    Cui, Chunfen
    IEEE WIRELESS COMMUNICATIONS, 2021, 28 (02) : 10 - 11
  • [39] Management of university and artificial intelligence statistics for 5G edge computing
    Hou, Jianjun
    Xu, Lijun
    WIRELESS NETWORKS, 2021,
  • [40] SDAC: An Architectural Enhancement to Enable Artificial Intelligence in 5G Systems
    Kheirkhah, Morteza
    Olvera-Hernandez, Ulises
    Cogalan, Tezcan
    Mourad, Alain
    2022 IEEE FUTURE NETWORKS WORLD FORUM, FNWF, 2022, : 614 - 621