Committed to connecting the world

AI for Good Global Summit

Disrupting NextG

​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​Machine Learning at the wireless edge

TALK

As 5G takes to the airwaves, we now turn our imagination to the next generation of wireless technology. The promise of this technology has created an international race to innovate, with significant investment by government as well as industry. And much innovation is needed as 6G aspires to not only support significantly higher data rates than 5G, but also improved reliability along with excellent coverage indoors and out, including for underserved areas. New architectures including edge computing must be designed to drastically enhance efficient resource allocation while also reducing latency for real-time control. Breakthrough energy-efficiency architectures, algorithms and hardware will be needed so that wireless devices can be powered by tiny batteries, energy-harvesting, or over-the-air power transfer. And machine learning may will play a big role in the underlying technologies for NextG as well as the “killer apps” that will drive its deployment and success. This webinar described what the wireless future might look like along with some of the innovations and breakthroughs required to realize this vision. 

WISDOM CORNER: LIVE LIFE LESSONS​

Participants had the chance to hear from Prof. Goldsmith ​about her impactful life less​ons over the years as well as her advice to young researchers in the field of information and communication technologies. ​

 



SPEAKER
Andrea J. Goldsmith, Princeton University, USA

Andrea J. Goldsmith is the Dean of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University. She was previously the Stephen Harris Professor of Engineering and Professor of Electrical Engineering at Stanford University, where she is now Harris Professor Emerita. Her research interests are in information theory, communication theory, and signal processing, and their application to wireless communications, interconnected systems, and neuroscience. 

She founded and served as Chief Technical Officer of Plume WiFi (formerly Accelera, Inc.) and of Quantenna (QTNA), Inc, and she serves on the Board of Directors for Intel (INTC), Medtronic (MDT), Crown Castle Inc (CCI), and the Marconi Society. She also serves on the Presidential Council of Advisors on Science and Technology (PCAST) and as the founding Chair of the IEEE Board of Directors Committee on Diversity, Inclusion, and Equity. 

Dr. Goldsmith is a member of the National Academy of Engineering, the Royal Academy of Engineering, and the American Academy of Arts and Sciences. Her awards include the Marconi Prize, the IEEE Sumner Technical Field Award, the ACM Athena Lecturer Award, the ComSoc Armstrong Technical Achievement Award, the Kirchmayer Graduate Teaching Award, the WICE Mentoring Award, and the Silicon Valley/San Jose Business Journal’s Women of Influence Award. 

She is author of the book “Wireless Communications'' and co-author of the books “MIMO Wireless Communications,” “Principles of Cognitive Radio,” and “Machine Learning and Wireless Communications,” all published by Cambridge University Press, as well as an inventor on 29 patents. 






MODERATOR
Ian F. AkyildizITU J-FET Editor-in-Chief and Truva Inc., USA​​
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MODERATOR OF WISDOM CORNER: 
Alessia Magliarditi​, ITU Journal Manager, ITU ​​






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WATCH RE​​​​CORDING​​ ​​​​​


Register and Join

The webinar was open to anyone interested in the topic​.
Participation was free of charge. ​​​​
Register and join the webinar he​re​.

Date and Time

​​​​​31 October 2023, from 16:00 to 17:30 CET​
This webinar ​​co​​nsisted of a ​50 minute talk, followed by a 20 minute Q&A session and a​ 20 m​​inute Wisdom Corner: Live Life Lessons. ​

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Disclaimer
: The views and opinions expressed in this webinar series are those of the panelists and do not reflect the official policy or position of the ITU.​

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