A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning

As one of the key communication scenarios in the fifth-generation and also the sixth-generation (6G) mobile communication networks, ultrareliable and low-latency communications (URLLCs) will be central for the development of various emerging mission-critical applications. State-of-the-art mobile com...

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Veröffentlicht in:	Proceedings of the IEEE Jg. 109; H. 3; S. 204 - 246
Hauptverfasser:	She, Changyang, Sun, Chengjian, Gu, Zhouyou, Li, Yonghui, Yang, Chenyang, Poor, H. Vincent, Vucetic, Branka
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	6G mobile communication Algorithms Artificial neural networks Communication Communication networks Computer architecture Cross-layer optimization Decision making Deep learning deep reinforcement learning (DRL) Domains Knowledge engineering Low latency communication Machine learning Mobile communication systems Network architecture Network latency Optimization Reinforcement learning Reliability sixth generation (6G) supervised deep learning Tutorials Ultra reliable low latency communication ultrareliable and low-latency communications (URLLCs) unsupervised deep learning Unsupervised learning
ISSN:	0018-9219, 1558-2256
Online-Zugang:	Volltext
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