The upcoming event “AI in 6G Networks – Path From Enabler to AI Native Air Interface” will be held on Friday, 10 November 2022, co-hosted by IEEE Windsor Section Joint Chapter SP01/COM19.

For registration and more information, please visit:

https://events.vtools.ieee.org/m/329644

Abstract: 

Machine learning (ML) and AI will play a key role in the development of 6G networks. Network virtualization and network softwarization solutions in 5G networks can support data-driven intelligent and automated networks to some extent and this trend will grow in 5G-advanced networks. Radio access network algorithms and radio resource management functions can exploit network intelligence to fine tune network parameters to reach close-to-optimal performance in 5G networks. In 6G networks, network intelligence is envisioned to be end-to-end, and air interface is envisioned to be AI-native. The user equipment (UE) devices need to be smarter, environment and context aware, and capable of running ML algorithms. This talk will focus on the main practical challenges in developing machine learning solutions in 5G use cases and emphasize with a case study how deployment of these solutions is much harder in a live network as compared to theoretical performance evaluation. Further, a vision for paradigm shift from AI-as-an-enabler to AI-Native air-interface will be provided for 6G networks.

Speaker: Dr. Majid of Nokia Bell Labs

Biography:

M. Majid Butt received the M.Sc. degree in digital communications from Christian Albrechts University, Kiel, Germany, in 2005, and the Ph.D. degree in telecommunications from the Norwegian University of Science and Technology, Trondheim, Norway, in 2011. He is a senior research specialist at Nokia Bell Labs, France, and an adjunct Research Professor at Trinity College Dublin, Dublin, Ireland. Prior to that, he has held various positions at the University of Glasgow, U.K., Trinity College Dublin, Ireland, and Fraunhofer HHI, Germany. His current research interests include communication techniques for wireless networks with a focus on radio resource allocation, scheduling algorithms, energy efficiency, and machine learning for RAN. He has authored more than 75 peer-reviewed conference and journal articles, 4 book chapters and filed over 30 patents in these areas. He frequently gives invited and technical tutorial talks on various topics in IEEE conferences including, ICC, Globecom, VTC, etc.

Dr. Butt was a recipient of the Marie Curie Alain Bensoussan Post-Doctoral Fellowship from the European Research Consortium for Informatics and Mathematics. He has organized several technical workshops on various aspects of communication systems in conjunction with major IEEE conferences. He serves as an associate editor for IEEE Communication Magazine, IEEE Open Journal of the Communication Society and IEEE Open Journal of Vehicular Technology.

Austin ComSoc/SP/CtSoc and Computer/EMBS  joint chapters would like to invite you to attend a special VDL talk on “AI Based Zero Energy Communication in 6G” on September 21st, 2022.

Speaker:

Prof. Sinem Coleri, Koc University (Turkey)

Abstract

Supporting low- or zero-energy machine type devices through the incorporation of energy harvesting technologies in 6G is expected to reduce frequent battery replacements as well as sustaining the operation of battery-less devices. The nodes can harvest energy from natural sources, such as sun, vibration and pressure; inductive and magnetic coupling; and radio frequency (RF) based wireless energy transfer. The complexity of the integration of energy harvesting into communication system design is increasing with the wide variety of the requirements of massive machine type communication scenarios in terms of reliability, delay and throughput. This high complexity can only be handled by the usage of AI techniques to continuously monitor the system knowledge and update the optimal communication and energy harvesting parameters accordingly. In this talk, novel optimal resource allocation algorithms are presented for low- or zero-energy machine type devices based on the usage of AI techniques. The wireless communication network and energy harvesting parameters are mapped to the optimal resource allocation by using deep neural networks.

Bio

Sinem Coleri is Professor in the department of Electrical and Electronics Engineering at Koc University. She is also the founding director of Wireless Networks Laboratory (WNL). Her research interests are in wireless communications and networking with applications in machine-to-machine communication, sensor networks and intelligent transportation systems.

Sinem Coleri received the BS degree in electrical and electronics engineering from Bilkent University in 2000, the M.S. and Ph.D. degrees in electrical engineering and computer sciences from University of California Berkeley in 2002 and 2005. She worked as a research scientist in Wireless Sensor Networks Berkeley Lab under sponsorship of Pirelli and Telecom Italia from 2006 to 2009. Since September 2009, she has been a faculty member in the department of Electrical and Electronics Engineering at Koc University.

Dr. Coleri has more than 180 peer-reviewed publications with citations over 8900 (Google scholar profile). She has received numerous awards and recognitions, including TUBITAK (The Scientific and Technological Research Council of Turkey) Incentive Award and IEEE Vehicular Technology Society 2020 Neal Shepherd Memorial Best Propagation Paper Award in 2020, College of Engineering Outstanding Faculty Award at Koc University and IEEE Communications Letters Exemplary Editor Award as Area Editor in 2019, Turkish Academy of Sciences Distinguished Young Scientist (TUBA-GEBIP) in 2015.

Dr. Coleri has been Area Editor of IEEE Communications Letters and IEEE Open Journal of the Communications Society since 2019, Editor of IEEE Transactions on Vehicular Technology since 2016 and Senior Editor of IEEE Access since 2022. She is an IEEE Fellow.

Registration link:

https://events.vtools.ieee.org/m/321886

Zoom info will be issued to all that registered.

For any additional information, please send an email to

F. Behmann at f.behmann@ieee.org

Date: Aug 4, 2022, 2 PM to 5 PM

Location: CEI 1101

Registration link:

https://events.vtools.ieee.org/event/register/320892

Registration link:

https://events.vtools.ieee.org/m/319578

Date: 29 Mar 2022

Location: Online

IEEE ComSoc Chapter, Windsor Section is going to hold an event co-hosting with the NY section titled “Integration of Terrestrial Networks and Extreme Environments: Challenges and Capabilities”.

Speaker: Dr. Mehdi Rahmati, Assistant Professor, Department of Electrical Engineering & Computer Science, Cleveland State University, Cleveland, OH 44115, USA

Registration: Please register for the event at: https://events.vtools.ieee.org/m/308383 by March 28, 2022.

The event information can be found at:  https://windsor.ieee.ca/event/integration-of-terrestrial-networks-and-extreme-environments-challenges-and-capabilities