Autonomic Mobile Networks: The Use of Artificial Intelligence in Wireless Communications

被引:0
|
作者
Long, Fei [1 ]
Li, Ning [2 ]
Wang, Yongxing [1 ]
机构
[1] Chinaso Inc, Beijing 100077, Peoples R China
[2] China Elect Technol Grp Corp, Res Inst 54, Shijiazhuang, Hebei, Peoples R China
关键词
Artificial intelligence; Wireless communication; Reinforcement learning; Fuzzy logic; Neural network; POWER-CONTROL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recent years, the wireless mobile communication technology develops rapidly, results in wireless information explosion. The network infrastructure is more and more complicate. It is inefficient and expansive to use the traditional operation and management methods which mainly relies on humans in the future wireless networks. It is promising to make the network self-operation, self-configuration, self-management. Fortunately, the Artificial Intelligence (AI) technique is a promising way to realize the radio network automation. In this paper, we give a general description of the state-of-the-art of the wireless communication systems and the need for intelligence functionalities. Then, we investigate the recent advances on the application of artificial intelligence technique in wireless communication domains. We believe that AI-empowered future network will accelerate the development of the ICT industry.
引用
收藏
页码:582 / 586
页数:5
相关论文
共 50 条
  • [41] Artificial Intelligence Based Network Selection in Heterogeneous Wireless Networks
    Ahmed, Fahim
    Chowdhury, Mostafa Zaman
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND INFORMATION TECHNOLOGY 2021 (ICECIT 2021), 2021,
  • [42] Special issue on advances and applications of artificial intelligence and machine learning for wireless communications
    Yilmaz, H. Birkan
    Chae, Chan-Byoung
    Deng, Yansha
    O'Shea, Tim
    Dai, Linglong
    Lee, Namyoon
    Hoydis, Jakob
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2020, 22 (03) : 173 - 176
  • [43] Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey
    Mengting Lin
    Youping Zhao
    中国通信, 2020, 17 (03) : 58 - 77
  • [44] Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey
    Lin, Mengting
    Zhao, Youping
    CHINA COMMUNICATIONS, 2020, 17 (03) : 58 - 77
  • [45] Artificial Intelligence for UAV-Enabled Wireless Networks: A Survey
    Lahmeri, Mohamed-Amine
    Kishk, Mustafa A.
    Alouini, Mohamed-Slim
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2021, 2 : 1015 - 1040
  • [46] Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence
    Abaci, Huseyin
    Seckin, Ahmet cagdas
    SENSORS, 2024, 24 (24)
  • [47] Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks
    Zhang, Ke
    Leng, Supeng
    Peng, Xin
    Pan, Li
    Maharjan, Sabita
    Zhang, Yan
    IEEE INTERNET OF THINGS JOURNAL, 2019, 6 (02): : 1987 - 1997
  • [48] Artificial Intelligence Powered Mobile Networks: From Cognition to Decision
    Luo, Guiyang
    Yuan, Quan
    Li, Jinglin
    Wang, Shangguang
    Yang, Fangchun
    IEEE NETWORK, 2022, 36 (03): : 136 - 144
  • [49] Efficient wireless mobile networks communications applied to e-health
    Hamrioui, Sofiane
    Lorenz, Pascal
    2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2017,
  • [50] Virtual prototyping for mobile distributed wireless terrestrial communications systems and networks
    Christensen, ER
    Ennis, M
    Todd, C
    MILCOM 97 PROCEEDINGS, VOLS 1-3, 1997, : 329 - 333