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Task-Oriented 6G Native-AI Network Architecture

delete2024-01-01
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AI
杨阳 封面图
杨阳 (Yang Yang) *
W
Wu, Jianjun *
T
Tianjiao Chen
C
Chenghui Peng
J
Jun Wang
J
Juan Deng
X
Xiaofeng Tao
G
Guangyi Liu
W
Wenjing Li
Y
Yang Li
Y
Yufeng He
T
Tingting Yang
A
A.H. Aghvami
F
Frank Eliassen
S
Schahram Dustdar
D
Dusit Niyato
W
Wanfei Sun
Y
Yang Xu
Y
Yannan Yuan
J
Jiang Xie
R
Rongpeng Li
C
Cui‐Qin Dai
DOI:10.1109/MNET.2023.3321464delete
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摘要

摘要

En 中文
The vision for 6G networks is to offer pervasive intelligence and internet of intelligence, in which the networks natively support artificial intelligence (AI), empower smart applications and scenarios in various fields, and create a ubiquitous-intelligence world. In this vision, the traditional session-oriented architecture cannot achieve flexible per-user customization, ultimate performance, security and reliability required by future AI services.
Keyword:
Artificial intelligence
Task analysis
6G mobile communication
Collaboration
Quality of service
Computational modeling
Computer architecture

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beijing university of posts & telecommunications
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university of north carolina
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China Mobile
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