On the Interplay of Artificial Intelligence and Space-Air-Ground Integrated Networks: A Survey

被引:0
|
作者
Bakambekova, Adilya [1 ]
Kouzayha, Nour [1 ]
Al-Naffouri, Tareq [1 ]
机构
[1] King Abdullah Univ Sci & Technol, Comp Elect & Math Sci & Engn Div, Thuwal 23955, Saudi Arabia
关键词
Artificial intelligence; Surveys; 6G mobile communication; Satellite broadcasting; Wireless networks; Satellites; Resource management; Artificial intelligence (AI); deep learning (DL); high altitude platforms (HAPs); machine learning; reinforcement learning (RL); satellite; space-air-ground integrated network (SAGIN); unmanned aerial vehicle (UAV); NON-TERRESTRIAL NETWORKS; EFFICIENT RESOURCE-ALLOCATION; NONORTHOGONAL MULTIPLE-ACCESS; LEO SATELLITE NETWORKS; ENERGY-EFFICIENT; TRAJECTORY DESIGN; CHANNEL ALLOCATION; WIRELESS NETWORKS; UAV COMMUNICATION; POWER-CONTROL;
D O I
10.1109/OJCOMS.2024.3429198
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Space-Air-Ground Integrated Networks (SAGINs), which incorporate space and aerial networks with terrestrial wireless systems, are vital enablers of the emerging sixth-generation (6G) wireless networks. They offer significant benefits, including extending high-speed broadband coverage to remote and hard-to-reach areas. However, due to constraints like limited power and storage resources, SAGINs must be intelligently configured and managed to meet their envisioned requirements. Meanwhile, Artificial Intelligence (AI) is another critical enabler of 6G. Due to the recent advancements in AI techniques and hardware capabilities, AI has been leveraged to address the pressing challenges of current and future wireless networks. By adding AI and facilitating the decision-making and prediction procedures, SAGINs can effectively adapt to their surrounding environment, thus enhancing the performance of various metrics. In this work, we aim to investigate the interplay of AI and SAGINs by providing a holistic overview of state-of-the-art research in AI-enabled SAGINs. Specifically, we present a comprehensive overview of some potential applications of AI in SAGINs. We also cover open issues in employing AI and detail the contributions of SAGINs in developing AI. Finally, we highlight some limitations of the existing research works and outline potential future research directions.
引用
收藏
页码:4613 / 4673
页数:61
相关论文
共 50 条
  • [11] Cooperative Drone Communications for Space-Air-Ground Integrated Networks
    Zou, Yulong
    Zhu, Jia
    Wu, Tonghua
    Guo, Haiyan
    Wei, Hao
    IEEE NETWORK, 2021, 35 (05): : 100 - 106
  • [12] Space-Air-Ground Integrated Networks: Outage Performance Analysis
    Ye, Jia
    Dang, Shuping
    Shihada, Basem
    Alouini, Mohamed-Slim
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2020, 19 (12) : 7897 - 7912
  • [13] Heterogeneous Traffic Offloading in Space-Air-Ground Integrated Networks
    Zhang, Liang
    Abderrahim, Wiem
    Shihada, Basem
    IEEE ACCESS, 2021, 9 : 165462 - 165475
  • [14] Secure, Intelligent, Programmable Space-Air-Ground Integrated Networks
    Scott-Hayward, Sandra
    PROCEEDINGS OF THE 2023 WORKSHOP ON RECENT ADVANCES IN RESILIENT AND TRUSTWORTHY ML SYSTEMS IN AUTONOMOUS NETWORKS, ARTMAN 2023, 2023, : 1 - 1
  • [15] Preface: Security and privacy for space-air-ground integrated networks
    Jiangzhou Wang
    Yue Gao
    Cheng Huang
    Haojin Zhu
    Security and Safety, 2024, 3 (02) : 4 - 5
  • [16] Satellite routing in space-air-ground integrated IoT networks
    Liu, Jinlin
    Du, Hang
    Yuan, Xueguang
    Zhang, Yangan
    Michel, Kadoch
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 1534 - 1538
  • [17] Near Space Communications: A New Regime in Space-Air-Ground Integrated Networks
    Xiao, Zhenyu
    Mao, Tianqi
    Han, Zhu
    Xia, Xiang-Gen
    IEEE WIRELESS COMMUNICATIONS, 2022, 29 (06) : 38 - 45
  • [18] Computing over Space-Air-Ground Integrated Networks: Challenges and Opportunities
    Shang, Bodong
    Yi, Yang
    Liu, Lingjia
    IEEE NETWORK, 2021, 35 (04): : 302 - 309
  • [19] Joint Resource Allocation Optimization in Space-Air-Ground Integrated Networks
    Xu, Zhan
    Yu, Qiangwei
    Yang, Xiaolong
    DRONES, 2024, 8 (04)
  • [20] HAP-Reserved Communications in Space-Air-Ground Integrated Networks
    Cao, Xuelin
    Yang, Bo
    Yuen, Chau
    Han, Zhu
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (08) : 8286 - 8291