Deeply embedded machine learning

A key novelty for 6G will be a major role for machine learning techniques at all layers in the protocol stack, from the PHY layer up to network and application layers, as well as over a wide range of spatial and temporal scales, allowing unprecedented site-specific adaptability and network automation.  WNCG has had a strong core of machine learning expertise since before 2010, and has a history of deep collaborations between ML and wireless faculty, unique amongst global wireless research centers.

More information coming soon.

Contact Us

Interested in becoming a 6G@UT affiliate or want to learn more about the research center? 

Contact 6G@UT Director Jeff Andrews: email | website