The Role of Deep Learning in Communication Systems
Emil Björnson explains the basics of supervised deep learning and two useful applications of it in the physical layer of communication systems.
If you want to learn more, you can read “Two Applications of Deep Learning in the Physical Layer of Communication Systems” by Emil Björnson and Pontus Giselsson (https://arxiv.org/pdf/2001.03350)
In Application 1, the following paper is used as an example:
Trinh Van Chien, Emil Björnson, Erik G. Larsson, “Sum Spectral Efficiency Maximization in Massive MIMO Systems: Benefits from Deep Learning,” IEEE International Conference on Communications (ICC), 2019. https://arxiv.org/pdf/1903.08163.pdf
In Application 2, the following paper is used as an example:
Özlem Tugfe Demir, Emil Björnson, “Channel Estimation in Massive MIMO under Hardware Non-Linearities: Bayesian Methods versus Deep Learning,” IEEE Open Journal of the Communications Society, 2020. https://arxiv.org/pdf/1911.07316.pdf