Title

Entangling Classical and Quantum Communications

Abstract

Research is well under way for defining the 6th-generation wireless standard, but the field of ultimately secure quantum communications is still in its infancy. Hence substantial research efforts are required for exploring the weird & wonderful quantum world, where the traveller has to abandon the beaten track of classical physics and obey the somewhat alluring rules of quantum physics, such as the entanglement and superposition of quantum bits, as well as the no-cloning theorem. Hence we ask the daring question: is there any knowledge at all that we can ‘borrow’ from classical signal processing and communications and ‘lift’ into the quantum world?

Further Readings

[1] Hanzo, L., et al (2025). Quantum Information Processing, Sensing, and Communications: Their Myths, Realities, and Futures. Proceedings of the IEEE, 1-51.
[2] Hosseinidehaj, N., et al (2018). Satellite-based continuous-variable quantum communications: State-of-the-art and a predictive outlook. IEEE Communications Surveys & Tutorials, 21(1), 881-919.

About the Speaker

Lajos Hanzo (FIEEE’04) received Honorary Doctorates from the Technical University of Budapest (2009) and Edinburgh University (2015). He is a Foreign Member of the Hungarian Science-Academy, Fellow of the Royal Academy of Engineering (FREng), of the IET, of EURASIP and holds the IEEE Eric Sumner Technical Field Award. For further details please see his Research Group and Wikipedia Page.

Title

Framework and Progress of 6G-ISAC for Physical-AI

Abstract

Radio Frequency sensing is a widely used technology for the object detection. By employing advanced signal processing, we can further reconstruct the physical environment, such as, the room, building and street. The integrated sensing and communication from wireless base station and user devices to form networked sensing, this is a new feature for 6G wireless, which enables the sensing assisted communications to enhancement the user experience, due to the environment-aware transmission to achieve optimal performance. In this talk, we further explore the capability of the sensing-assisted AI enabled by 6G-ISAC, in this case, the radio networks provide the physical-world model for the embodiment-AI, either the bastion, or the AI device can integrated sensing AI to form the embodiment AI, this will open a vast robotic-like service and applications for 6G.

About the Speaker

Wen Tong is the CTO, Huawei Wireless, he is the chief scientist for Huawei 5G/6G. He is a Huawei Fellow and an IEEE Fellow. Prior to joining Huawei in 2009, Dr. Tong was the Nortel Fellow and head of the Network Technology Labs at Nortel. He joined the Wireless Technology Labs at Bell Northern Research in 1995 in Canada. He was the recipient of IEEE ComSoc Industry Innovation Award in 2014, the IEEE ComSoc Distinguished Industry Leader Award and the R. A. Fessenden Medal. For the past three decades, he had pioneered fundamental technologies from 1G to 6G wireless and WiFi. He is a Fellow of Canadian Academy of Engineering, and a Fellow Royal Society of Canada.

Title

Goal Oriented Networking: how to scale up terrestrial and Space IoT

Abstract

Network capacity has traditionally been defined as a region of “arrival rates” of data from each user, that can be served with bounded delay. This definition worked reasonably well for data flows that require a somewhat continuous throughput, and can tolerate buffering. Yet, two policies or protocols that are both optimal (i.e. throughput optimal) with respect to this definition, may result in completely different delay statistics to be experienced by packet flows. This is not ideal in an IoT network in which nodes sporadically send short data packets, for example, to satisfy some monitoring or situational awareness goal, where a notion of timeliness is inherent.

In growing terrestrial and satellite IoT implementations, it is of practical interest to understand how many nodes can be supported in a given area, under contention for channel resources in a random access environment, intermittent connectivity, variable delays due to reasons such as queuing at intermediate nodes or store-and-forward. To make this scalability question precise, we can use a goal-oriented formulation where nodes use the network to supply sufficiently timely and valuable data for successful execution of a goal, e.g., remote inference, estimation, or federated learning. I will show how we can address network scalability through Goal-Oriented Networking, which replaces the assumption of exogenous arrival processes with goal-oriented traffic generation. I will describe optimal goal-oriented sampling and scheduling policies, and random access strategies, and illustrate their application in LPWANs and Space Communication.

About the Speaker

Elif Uysal is a Professor in the Department of Electrical and Electronics Engineering at the Middle East Technical University (METU), in Ankara, Turkey. She received the Ph.D. degree in EE from Stanford University in 2003, the S.M. degree in EECS from the Massachusetts Institute of Technology (MIT) in 1999 and the B.S. degree from METU in 1997. From 2003-05 she was a lecturer at MIT, and from 2005-06 she was an Assistant Professor at the Ohio State University (OSU). Since 2006, she has been with METU, and held visiting positions at OSU and MIT during 2014-2016. Her research interests are at the junction of communication and networking theories, with particular application to energy-efficient wireless networking. Dr. Uysal was elected a Fellow of IEEE in 2022 for “pioneering contributions to energy-efficient and low-latency communications”. She is a Fellow of the Asia-Pacific Artificial Intelligence Association, and of the Artificial Intelligence Industry Alliance, a recipient of the ERC Advanced Grant 2024, TUBITAK BIDEB National Pioneer Researcher Grant 2020, 2014 Young Scientist Award from the Science Academy of Turkey, an IBM Faculty Award (2010), the Turkish National Science Foundation Career Award (2006), an NSF Foundations on Communication research grant (2006-2010), the MIT Vinton Hayes Fellowship, and the Stanford Graduate Fellowship. She has been serving as the Chair of the Executive Board and the Chair of the Board of Trustees of the METU Parlar Foundation for Education and Research, and assistant director of METU YTM-MATPUM, since 2022. In 2022, she founded FRESHDATA Technology.

Dr. Uysal has served on the editorial boards of the IEEE/ACM Transactions on Networking, and the IEEE Transactions on Wireless Communication, as Lead Guest Editor for the IEEE Journal on Special Areas in Information Theory, and served numerous conferences in the Communications and Networking areas in various capacities.

Title

Secrets of Semantic Communications in the Era of 6G Networked Intelligence

Abstract

6G is expected to revolutionize AI, making it less artificial by seamlessly connecting the biological world and AI, thereby bridging the gaps between physical, cyber (digital) and sapience spaces. Simultaneously, AI will advance semantic cognition, understanding, and reasoning, driving the evolution of self-synthesizing networks and fully autonomous network management.

This Keynote talk explores latest breakthroughs and emerging trends in AI-enabled Semantic Communications within 6G and beyond, a paradigm shift that will define the next generation of intelligent, adaptive, and autonomous systems.

In sharp contrast with 5G, in which signal transmission for raw data is optimized to transport data without considering its relevance or informativeness for the recipient, semantic-native communications are designed to connect intelligence, infer, reason, actuate and control. The goal is to share less while understanding more, unlocking greater efficiency while enabling AI agents to make informed decisions, reason about causality, and distinguish correlation from causation.

The talk will conclude by discussing recent research advancements and identified challenges, drawing insights from ongoing academic and industry initiatives, including 6G-GOALS, 6G-DISAC, and 6G-ARROW projects.

About the Speaker

Dr. Emilio Calvanese Strinati obtained his Engineering Master degree in 2001 from the University of Rome ‘La Sapienza’ and his Ph.D in Engineering Science in 2005 from Paris Telecom. He then started working at Motorola Labs in Paris in 2002. Then in 2006 he joint CEA LETI as a research engineer. From 2007, he becomes a PhD supervisor. From 2010 to 2012, he has been the co-chair of the wireless working group in GreenTouch Initiative, which deals with design of future energy efficient communication networks. From 2011 to 2016 he was the Smart Devices & Telecommunications strategic programs Director, then, until January 2020 he was the Smart Devices & Telecommunications Scientific and Innovation Director. Since February 2020 he is the Nanotechnologies and Wireless for 6G (New-6G) Program Director focusing on future 6G technologies.

He has published around 250 papers in journals, international conferences, and books chapters, and he has given more than 250 international invited talks, keynotes and tutorials. He is the main inventor of more than 100 patents. He has also a rather strong and successful experience in leading and coordinating research activities having been the main coordinator of successful projects such as 5G-CHAMPIONS, 5GAllstar or RISE-6G and he is the coordinator of 6G-GOALS, 6G-DISAC and 6G-ARROW. CEA has also coordinated other FP7/H2020 and national projects, and/or serving regularly as project’s Technical Manager, Work Package and Task leader in more than 50 European projects. His current research interests are on Reconfigurable Intelligent Surfaces, Semantic communications, Goal-oriented communications, AI-native technologies and sustainability in the context of future 6G networks.

Title

Evolution and Trends in MIMO-Technology: From Communication to Sensing

Abstract

We shed some light on recent developments in multiple-input multiple-output (MIMO) technology for both communications as well as sensing applications. Topics include channel measurements, channel modeling and AI-based post processing of channel state information, with possible benefits for 6G wireless networks. Distributed yet tightly synchronized MIMO prototypes for coherent channel measurements prove to be useful in further assessing the potential of the discussed schemes.

About the Speaker

Prof. Dr.-Ing. Stephan ten Brink has been a faculty member at the University of Stuttgart, Germany, since July 2013, where he is head of the Institute of Telecommunications.

From 1995 to 1997 and 2000 to 2003, Dr. ten Brink was with Bell Laboratories in Holmdel, New Jersey, conducting research on multiple antenna systems. From July 2003 to March 2010, he was with Realtek Semiconductor Corp., Irvine, California, as Director of the wireless ASIC department, developing WLAN and UWB single chip MAC/PHY CMOS solutions. In April 2010 he returned to Bell Laboratories as Department Head of the Wireless Physical Layer Research Department in Stuttgart, Germany.

Dr. ten Brink is an IEEE Fellow, and recipient and co-recipient of several awards, including the Vodafone Innovation Award, the IEEE Stephen O. Rice Paper Prize, and the IEEE Communications Society Leonard G. Abraham Prize for contributions to channel coding and signal detection for multiple-antenna systems.

He is best known for his work on iterative decoding (EXIT charts), MIMO communications (soft sphere detection, massive MIMO), and deep learning applied to communications.