7. Machine Learning for Wireless

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” (https://arxiv.org/pdf/2001.03350.pdf). Music: On the Verge by Joseph McDade. Visit Erik’s website https://liu.se/en/employee/erila39 and Emil’s website https://ebjornson.com/

Om Podcasten

We are approaching a wireless future, where everything around us becomes connected and increasingly intelligent. Access to wireless connectivity is becoming as essential to our lives as access to electricity and water. In this podcast, two renowned Swedish academics discuss current and future wireless technology, as well as its impact on society. Erik G. Larsson is an IEEE Fellow and Professor at Linköping University, Sweden. Emil Björnson is an IEEE Fellow and Professor at the KTH Royal Institute of Technology, Sweden. They have written several textbooks, received numerous scientific awards, published hundreds of papers, and hold tens of patents. They have a YouTube channel with 24k+ subscribers.