Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities

doi:10.1109/MWC.019.2200518

	Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities
	Yang, Zheming 1,2; Hu, Dieli 1,3; Guo, Qi 1; Zuo, Lulu 1,3; Ji, Wen 1,3
	2023-06-01
发表期刊	IEEE WIRELESS COMMUNICATIONS
ISSN	1536-1284
卷号	30 期号:3 页码:204-210
摘要	With the rapid development of 6G wireless communication technology, the emergence of rich multimedia data for massive devices will lead to greater intensive computations and energy consumption. However, the requirements from both green communication and international low-carbon strategy can be challenging. In this article, we first systematically analyze the key challenges from the perspective of 6G networks for low-carbon smart city development. Then we propose an AI-driven visual end-edge-cloud architecture ((EC)-C-2), which extends upon the conventional design from the perspective of human-machine fusion and carbon emission optimization. We provide systematical analysis and intelligent computing methods for carbon emission in visual end-edge-cloud architecture. This architecture can enable the provision of (EC)-C-2 AI intelligence for 6G networks through hybrid hierarchical optimization mechanisms. Finally, the experimental results demonstrate that our proposed architecture has better performance in smart cities, achieving lower carbon emissions compared to traditional methods.
关键词	6G mobile communication Wireless communication Visualization Energy consumption Smart cities Computer architecture Carbon dioxide
DOI	10.1109/MWC.019.2200518
收录类别	SCI
语种	英语
资助项目	National Key Ramp;D Program of China[2022YFE0125400] ; National Key Ramp;D Program of China[2022YFF0902403] ; National Natural Science Foundation of China[62072440] ; Beijing Natural Science Foundation[L221004]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:001032069700029
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/21322
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ji, Wen
作者单位	1.Inst Comp Technol, Chinese Acad Sci, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Peng Cheng Lab, Shenzhen, Peoples R China
推荐引用方式 GB/T 7714	Yang, Zheming,Hu, Dieli,Guo, Qi,et al. Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities[J]. IEEE WIRELESS COMMUNICATIONS,2023,30(3):204-210.
APA	Yang, Zheming,Hu, Dieli,Guo, Qi,Zuo, Lulu,&Ji, Wen.(2023).Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities.IEEE WIRELESS COMMUNICATIONS,30(3),204-210.
MLA	Yang, Zheming,et al."Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities".IEEE WIRELESS COMMUNICATIONS 30.3(2023):204-210.