Edge Intelligence for Mission-Critical 6G Services in Space-Air-Ground Integrated Networks

被引:49
作者
Hou, Xiangwang [1 ]
Wang, Jingjing [3 ]
Fang, Zhengru [2 ]
Ren, Yong [1 ]
Chen, Kwang-Cheng [4 ]
Hanzo, Lajos [5 ]
机构
[1] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China
[2] Tsinghua Univ, Elect & Commun Engn, Beijing, Peoples R China
[3] Beihang Univ, Sch Cyber Sci & Technol, Beijing, Peoples R China
[4] Univ S Florida, Elect Engn, Tampa, FL 33620 USA
[5] Univ Southampton, Southampton, Hants, England
来源
IEEE NETWORK | 2022年 / 36卷 / 02期
基金
欧盟地平线“2020”;
关键词
ACCESS;
D O I
10.1109/MNET.121.2100324
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Next-generation wireless services will change our daily lives by supporting smart factories, intelligent transportation, augmented/virtual reality, and more. These sophisticated services are usually both data- and computation-intensive, and must meet stringent latency and reliability requirements that cannot be readily satisfied by cloud-based service processing. Therefore, the 6G cellular network is expected to jointly optimize communication, computing, caching, and control. A further aspiration of 6G is to conceive a seamless space-air-ground integrated network (SAGIN) for filling the vast coverage holes across the globe, bringing new opportunities for mission-critical services. In this article, we aim for conceiving ultrareliable and low-latency edge intelligence for supporting mission-critical services by harnessing the diversified communication, computing, and caching resources at the network edge of SAGIN. We critically appraise a number of key enabling techniques, including a number of new service-centric resource allocation techniques. Finally, a range of open challenges is discussed.
引用
收藏
页码:181 / 189
页数:9
相关论文
共 15 条
  • [1] Performance Modeling and Workflow Scheduling of Microservice-Based Applications in Clouds
    Bao, Liang
    Wu, Chase
    Bu, Xiaoxuan
    Ren, Nana
    Shen, Mengqing
    [J]. IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2019, 30 (09) : 2101 - 2116
  • [2] Boride-based electrocatalysts: Emerging candidates for water splitting
    Chen, Zhijie
    Duan, Xiaoguang
    Wei, Wei
    Wang, Shaobin
    Zhang, Zejie
    Ni, Bing-Jie
    [J]. NANO RESEARCH, 2020, 13 (02) : 293 - 314
  • [3] Effective Capacity of Licensed-Assisted Access in Unlicensed Spectrum for 5G: From Theory to Application
    Cui, Qimei
    Gu, Yu
    Ni, Wei
    Liu, Ren Ping
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2017, 35 (08) : 1754 - 1767
  • [4] Short-Packet Communications Over Multiple-Antenna Rayleigh-Fading Channels
    Durisi, Giuseppe
    Koch, Tobias
    Ostman, Johan
    Polyanskiy, Yury
    Yang, Wei
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2016, 64 (02) : 618 - 629
  • [5] V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability
    Gao, Honghao
    Liu, Can
    Li, Youhuizi
    Yang, Xiaoxian
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (06) : 3533 - 3546
  • [6] Hou XW, 2020, IEEE CONF COMPUT, P150, DOI [10.1109/INFOCOMWKSHPS50562.2020.9163048, 10.1109/infocomwkshps50562.2020.9163048]
  • [7] Reliable Computation Offloading for Edge-Computing-Enabled Software-Defined IoV
    Hou, Xiangwang
    Ren, Zhiyuan
    Wang, Jingjing
    Cheng, Wenchi
    Ren, Yong
    Chen, Kwang-Cheng
    Zhang, Hailin
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (08): : 7097 - 7111
  • [8] A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers
    Lin, Weiwei
    Shi, Fang
    Wu, Wentai
    Li, Keqin
    Wu, Guangxin
    Mohammed, Al-Alas
    [J]. ACM COMPUTING SURVEYS, 2020, 53 (05)
  • [9] Dynamic Task Offloading and Resource Allocation for Ultra-Reliable Low-Latency Edge Computing
    Liu, Chen-Feng
    Bennis, Mehdi
    Debbah, Merouane
    Poor, H. Vincent
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (06) : 4132 - 4150
  • [10] Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC)
    Popovski, Petar
    Stefanovic, Cedomir
    Nielsen, Jimmy J.
    de Carvalho, Elisabeth
    Angjelichinoski, Marko
    Trillingsgaard, Kasper F.
    Bana, Alexandru-Sabin
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (08) : 5783 - 5801