Applications of Deep Learning and Deep Reinforcement Learning in 6G Networks
Author:
Affiliation:
1. Seoul National University of Science and Technology,Department of Computer Science and Engineering,Seoul,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199107/10199171/10200390.pdf?arnumber=10200390
Reference44 articles.
1. Towards deep learning-aided wireless channel estimation and channel state information feedback for 6G
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3. ChannelGAN: Deep Learning-Based Channel Modeling and Generating
4. Deep Reinforcement Learning with Double Q-Learning
5. Prediction-Based Conditional Handover for 5G mm-Wave Networks: A Deep-Learning Approach
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