Artificial Intelligence-Empowered Resource Management for Future Wireless Communications: A Survey

被引:0
作者
Lin, Mengting [1 ]
Zhao, Youping [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
基金
北京市自然科学基金;
关键词
5G; beyond 5G (B5G); 6G; artificial intelligence (AI); machine learning (ML); network slicing; resource management; COGNITIVE RADIO; MICRO OPERATORS; 5G; NETWORKS;
D O I
暂无
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
How to explore and exploit the full potential of artificial intelligence (AI) technologies in future wireless communications such as beyond 5G (B5G) and 6G is an extremely hot inter-disciplinary research topic around the world. On the one hand, AI empowers intelligent resource management for wireless communications through powerful learning and automatic adaptation capabilities. On the other hand, embracing AI in wireless communication resource management calls for new network architecture and system models as well as standardized interfaces/protocols/data formats to facilitate the large-scale deployment of AI in future B5G/6G networks. This paper reviews the state-of-art AI-empowered resource management from the framework perspective down to the methodology perspective, not only considering the radio resource (e.g.. spectrum) management but also other types of resources such as computing and caching. We also discuss the challenges and opportunities for AI-based resource management to widely deploy AI in future wireless communication networks.
引用
收藏
页码:58 / 77
页数:20
相关论文
共 50 条
  • [41] Vertical Mobility Management Architectures in Wireless Networks: A Comprehensive Survey and Future Directions
    Fernandes, Stenio
    Karmouch, Ahmed
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2012, 14 (01): : 45 - 63
  • [42] Artificial intelligence applications in personalizing lung cancer management: state of the art and future perspectives
    Lococo, Filippo
    Ghaly, Galal
    Flamini, Sara
    Campanella, Annalisa
    Chiappetta, Marco
    Bria, Emilio
    Vita, Emanuele
    Tortora, Giampaolo
    Evangelista, Jessica
    Sassorossi, Carolina
    Congedo, Maria Teresa
    Valentini, Vincenzo
    Sala, Evis
    Cesario, Alfredo
    Margaritora, Stefano
    Boldrini, Luca
    Mohammed, Abdelrahman
    JOURNAL OF THORACIC DISEASE, 2024, 16 (10) : 7096 - 7110
  • [43] AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives
    Walia, Guneet Kaur
    Kumar, Mohit
    Gill, Sukhpal Singh
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2024, 26 (01): : 619 - 669
  • [44] Artificial Intelligence and Project Management: Empirical Overview, State of the Art, and Guidelines for Future Research
    Mueller, Ralf
    Locatelli, Giorgio
    Holzmann, Vered
    Nilsson, Marly
    Sagay, Temisan
    PROJECT MANAGEMENT JOURNAL, 2024, 55 (01) : 9 - 15
  • [45] Optimal and Privacy-Aware Resource Management in Artificial Intelligence of Things Using Osmotic Computing
    Sharma, Vishal
    Tan, Teik Guan
    Singh, Saurabh
    Sharma, Pradip Kumar
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 18 (05) : 3377 - 3386
  • [46] Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence
    Lim, JongBeom
    Lee, DaeWon
    Chung, Kwang-Sik
    Yu, HeonChang
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2019, 15 (05): : 1192 - 1200
  • [47] User-Centric Energy-Efficient Resource Management for Time Switching Wireless Powered Communications
    Ding, Jianfeng
    Jiang, Lingge
    He, Chen
    IEEE COMMUNICATIONS LETTERS, 2018, 22 (01) : 165 - 168
  • [48] Self-Deployment of Non-Stationary Wireless Systems by Knowledge Management With Artificial Intelligence
    Gacanin, Haris
    Perenda, Erma
    Atawia, Ramy
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2019, 5 (04) : 1004 - 1018
  • [49] Artificial intelligence for flood risk management: A comprehensive state-of-the-art review and future directions
    Liu, Zhewei
    Coleman, Natalie
    Patrascu, Flavia Ioana
    Yin, Kai
    Li, Xiangpeng
    Mostafavi, Ali
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2025, 117
  • [50] Slicing-Based Artificial Intelligence Service Provisioning on the Network Edge: Balancing AI Service Performance and Resource Consumption of Data Management
    Li, Mushu
    Gao, Jie
    Zhou, Conghao
    Shen, Xuemin
    Zhuang, Weihua
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2021, 16 (04): : 16 - 26