A Survey of Computational Intelligence for 6G: Key Technologies, Applications and Trends

被引:111
|
作者
Ji, Baofeng [1 ,2 ,3 ]
Wang, Yanan [1 ]
Song, Kang [4 ]
Li, Chunguo [5 ]
Wen, Hong [6 ]
Menon, Varun G. [7 ]
Mumtaz, Shahid [8 ]
机构
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China
[2] Chinese Acad Sci, Inst Atmospher Phys, LA GEO, Beijing 100029, Peoples R China
[3] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Peoples R China
[4] Qingdao Univ, Qingdao 266071, Peoples R China
[5] Southeast Univ, Nanjing 210096, Peoples R China
[6] Univ Elect Sci & Technol China, Chengdu 611731, Peoples R China
[7] SCMS Sch Engn & Technol, Ernakulam 683576, India
[8] Inst Telecomunicacoes, P-1049001 Lisbon, Portugal
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
6G mobile communication; 5G mobile communication; Wireless communication; Informatics; Technological innovation; Particle swarm optimization; Optimization; Computational intelligence (CI); industrial Internet of Things (IoT); Internet of Everything (IoE); mobile edge computing (MEC); network in box (NIB); sixth generation mobile communication system (6G); INTERNET; NETWORKS; THINGS; CLOUD; REQUIREMENTS; VISION;
D O I
10.1109/TII.2021.3052531
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The ongoing deployment of 5G network involves the Internet of Things (IoT) as a new technology for the development of mobile communication, where the Internet of Everything (IoE) as the expansion of IoT has catalyzed the explosion of data and can trigger new eras. However, the fundamental and key component of the IoE depends on the computational intelligence (CI), which may be utilized in the sixth generation mobile communication system (6G). The motivation of this article presents the 6G enabled network in box (NIB) architecture as a powerful integrated solution that can support comprehensive network management and operations. The 6G enabled NIB can be used as an alternative method to meet the needs of next-generation mobile networks by dynamically reconfiguring the deployment of network functions, providing a high degree of flexibility for connection services in various situations. Especially the CI technology such as evolutionary computing, neural computing and fuzzy systems utilized as a part of NIB have inherent capabilities to handle various uncertainties, which have unique advantages in processing the variability and diversity of large amounts of data. Finally, CI technology for NIB, which is widely used is also introduced such as distributed computing, fog computing, and mobile edge computing in order to achieve different levels of sustainable computing infrastructure. This article discusses the key technologies, advantages, industrial scenario applications of CI technology as NIB, typical use cases and development trends based on IoE, which provides directional guidance for the development of CI technology as NIB for 6G.
引用
收藏
页码:7145 / 7154
页数:10
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