The Role of AI & Machine Learning in 6G Wireless Networks: 6GSymposium
This session of the 6GSymposium addressed the current status of AI and machine learning in the network and issues to overcome in order to reach the levels of pervasive, intelligent systems needed in advanced 5G and 6G networks. Experts from DARPA, Deepsig, Nvidia, InterDigital and UCLA share their thoughts and handle audience questions under the guidance of Northeastern’s Kaushik Chaudhary.
Understanding the 6G Technology Landscape: 6GSymposium
Under the guidance of InterDigital’s Doug Castor, panelists from NTT DoCoMo, Keysight, MIT, the ONF and the Small Cell Forum explore different ways to reimagine wireless network architecture, supporting new KPIs and encouraging the evolution of 6G.
6G Drivers, Use Cases and KPIs: 6GSymposium
The first panel session at the 6GSymposium brought together experts from Ericsson, Qualcomm, Samsung, T-Mobile and Virginia Tech to unravel the ‘why’ of 6G. Moderator Caroline Gabriel takes the panelists through a wide range of ideas and fields questions from the audience.
Platforms for Experimental Research: 6GSymposium
The final panel of the 6GSymposium addressed the way that 5G has brought the introduction of cloud native platforms, the disaggregation of radio access networks, and a paradigm shift towards openness – together with complexity. Future 6G testbeds will need to be much more flexible and support the integration of multiple technologies. This panel teases out the complexities of how we even begin to prepare for 6G, thanks to insights from the University of Oulu, Nokia Bell Labs, Facebook, Parallel Wireless and North Carolina State University.
Conquering the Spectrum: 6GSymposium
This in-depth panel discussion at the 6GSymposium brought together perspectives from VDI, Rice University, TU Braunschweig, NYU Wireless and more. Including a guest appearance and demo from Rohde & Schwarz, the panel explored the uses, drawbacks and possibilities inherent in new spectrum bands, as well as the role of existing ones, in supporting the demands placed upon future networks.
