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Potential technologies and applications based on deep learning in the 6G networks

  • Published:2021-10 Issue: Volume:95 Page:107373
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Zheng Zunxin,Wang Linmei,Zhu Fumin,Liu Ling

Funder

National Natural Science Foundation of China

Shenzhen University

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference18 articles.

1. Artificial Intelligence Enabled Internet of Things: Network Architecture and Spectrum Access;Sao;IEEE Computational Intelligence Magazine,2019

2. 6G Mobile Communication Network: Vision, Challenges and Key Technologies;Zhao;Scientia Sinica Informationis,2019

3. 6G Wireless Communications: Vision and Potential Techniques;Yang;IEEE Network,2019

4. Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future;Nawaz;IEEE Access,2019

5. Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications;Alsheikh;IEEE Communications Surveys & Tutorials,2014

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