The Convergence of Artificial Intelligence Foundation Models and 6G Wireless Communication Networks

被引:0
作者
Shoaib, Mohamed R. [1 ]
Wang, Zefan [1 ]
Zhao, Jun [1 ]
机构
[1] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
来源
2024 IEEE 99TH VEHICULAR TECHNOLOGY CONFERENCE, VTC2024-SPRING | 2024年
关键词
Artificial Intelligence (AI); Foundation Models; Deep Learning; 6G Communications; Wireless Networks;
D O I
10.1109/VTC2024-SPRING62846.2024.10683090
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This review paper explores the powerful convergence of AI foundation models and 6G wireless communication networks, emphasizing their symbiotic relationship and transformative potential. It investigates the advancements within 6G networks, highlighting key areas such as federated learning, blockchain integration, and mobile edge computing. The paper discusses how AI foundation models can enhance 6G communications and vice versa, outlining applications such as the Internet of Vehicles (IoVs) and the Metaverse, aiming to open challenges and future research directions, and underscoring the profound impact of integrating these technologies.
引用
收藏
页数:5
相关论文
共 32 条
  • [21] Radford A., 2019, OPENAI BLOG, V1, P9, DOI DOI 10.4018/978-1-5225-9348-5.CH006
  • [22] Raffel C, 2023, Arxiv, DOI [arXiv:1910.10683, DOI 10.48550/ARXIV.1910.10683]
  • [23] Over-the-Air Federated Learning From Heterogeneous Data
    Sery, Tomer
    Shlezinger, Nir
    Cohen, Kobi
    Eldar, Yonina C.
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2021, 69 : 3796 - 3811
  • [24] Deep Learning for Ultra-Reliable and Low-Latency Communications in 6G Networks
    She, Changyang
    Dong, Rui
    Gu, Zhouyou
    Hou, Zhanwei
    Li, Yonghui
    Hardjawana, Wibowo
    Yang, Chenyang
    Song, Lingyang
    Vucetic, Branka
    [J]. IEEE NETWORK, 2020, 34 (05): : 219 - 225
  • [25] Shi Yifeng, 2023, P IEEECVF C COMPUTER, P6327
  • [26] Wang JY, 2021, Arxiv, DOI [arXiv:2107.06917, 10.48550/arXiv.2107.06917]
  • [27] Wu H., 2023, Device-edge cooperative fine-tuning of foundation models as a 6G service
  • [28] Sora-Based Parallel Vision for Smart Sensing of Intelligent Vehicles: From Foundation Models to Foundation Intelligence
    Yu, Hongkai
    Liu, Xinyu
    Tian, Yonglin
    Wang, Yutong
    Gou, Chao
    Wang, Fei-Yue
    [J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (02): : 3123 - 3126
  • [29] Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility
    Zhao, Chen
    Dai, Xingyuan
    Lv, Yisheng
    Niu, Jinglong
    Lin, Yilun
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (04): : 2062 - 2072
  • [30] Convolutional-neural-network-based versus vision-transformer-based SNR estimation for visible light communication networks
    Zhao, Zhenquan
    Khan, Faisal Nadeem
    Qasem, Zeyad A. H.
    Deng, Bohua
    Li, Qian
    Liu, Zhengyong
    Fu, H. Y.
    [J]. OPTICS LETTERS, 2023, 48 (06) : 1419 - 1422