Applied ML for Industry

ML for Physical Layer Communications

The areas of machine learning and communication technology are converging. Today’s communications systems generate a huge amount of traffic data, which can help to significantly enhance the design and management of networks and communication components when combined with advanced machine learning methods. Furthermore, in areas such as multimedia communication learning algorithms play an increasingly important role.

Publications

[1] Nils Strodthoff, Barış Göktepe, Thomas Schierl, Cornelius Hellge, and Wojciech Samek. Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE Journal on Selected Areas in Communications 37, no. 11, 2573-2587, 2019.

[2] Nils Strodthoff, Barış Göktepe, Thomas Schierl, Cornelius Hellge, and Wojciech Samek. Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE Global Communications Conference Workshops (GLOBECOM), 2018.