6G@UT Director Jeff Andrews delivered the Plenary address at the 2024 IEEE Asilomar Conference on Signals, Systems, and Computers in October. His talk highlighted how site-specific deep learning (SSDL) will be instrumental in achieving higher spectral and energy efficiency in cellular networks in the 6G era. Results of Andrews’ research group at UT Austin illustrate how SSDL can help boost network capacity by a factor of 2 or more, especially at the cell edge, while cutting power usage in half, as well as improve coverage and capacity in 6G networks, Andrews also examined potential methods for training these models, using tools like digital twins and generative AI.
The Asilomar Conference has been held annually in Pacific Grove, CA for over 50 years, and is co-sponsored by the IEEE Signal Processing Society. It serves as a premier platform for presenting innovative research in theoretical and applied signal processing, and features an annual Plenary talk by a distinguished researcher.
The full abstract and slides from Dr. Andrews’ plenary talk can be seen here.