Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications

The thriving of artificial intelligence (AI) applications is driving the further evolution of wireless networks. It has been envisioned that 6G will be transformative and will revolutionize the evolution of wireless from "connected things" to "connected intelligence". However, st...

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Bibliographic Details
Published in:	IEEE journal on selected areas in communications Vol. 40; no. 1; pp. 5 - 36
Main Authors:	Letaief, Khaled B., Shi, Yuanming, Lu, Jianmin, Lu, Jianhua
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	6G mobile communication Artificial intelligence Commercialization Communication Communication system security Computer architecture Deep learning edge AI edge inference edge training end-to-end architecture Energy consumption Evolution federated learning Inference large-scale optimization Machine learning Network latency Optimization over-the-air computation Privacy Resource allocation Sensors service-driven resource allocation Standardization Task analysis task-oriented communication Training Vision Wireless communications Wireless networks
ISSN:	0733-8716, 1558-0008
Online Access:	Get full text
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