Episode 7: Machine Learning for Wireless

We have now released the seventh episode of the podcast Wireless Future, with the following abstract:

What role will machine learning play in wireless communications? In this episode, Emil Björnson and Erik G. Larsson begin by discussing the fundamentals of machine learning and what it means to “learn” something. They discuss what are the good use cases for machine learning in communications, and what are less convincing use cases. To learn more, they recommend the article “Two Applications of Deep Learning in the Physical Layer of Communication Systems”.

You can watch the video podcast on YouTube:

You can listen to the audio-only podcast at the following places:

One thought on “Episode 7: Machine Learning for Wireless”

  1. The podcast was very interesting. I wish to add ML into my toolbox. This would be an eye opener to all the communication engineers out there.

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