中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Visual (EC)-C-2: AI-Driven Visual End-Edge-Cloud Architecture for 6G in Low-Carbon Smart Cities

文献类型:期刊论文

作者Yang, Zheming1,2; Hu, Dieli1,3; Guo, Qi1; Zuo, Lulu1,3; Ji, Wen1,3
刊名IEEE WIRELESS COMMUNICATIONS
出版日期2023-06-01
卷号30期号:3页码:204-210
关键词6G mobile communication Wireless communication Visualization Energy consumption Smart cities Computer architecture Carbon dioxide
ISSN号1536-1284
DOI10.1109/MWC.019.2200518
英文摘要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.
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
语种英语
WOS记录号WOS:001032069700029
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
源URL[http://119.78.100.204/handle/2XEOYT63/21321]  
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.

入库方式: OAI收割

来源:计算技术研究所

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