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
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
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