Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential

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Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential


Abstract

The upcoming 6G pushes the 5G performance indicators to unprecedented levels, envisioning up to THz frequencies, devices with embedded sensing capabilities, and native artificial intelligence. These challenging features are expected to become a reality around 2030 and with a strong green footprint. In this talk, we will elaborate around the emerging technology of reconfigurable intelligent surfaces and its efficient configuration optimization via state-of-the-art sensing-capable hardware architectures. We will discuss recent results on the capacity characterization of multi-RIS-empowered point-to-point and multiple-access channels, and then present a reinforcement learning approach for the orchestration of multi-RIS-empowered smart wireless environments. We will also discuss the latest considerations of the latter environments for sensing-aided communications and distributed sensing.

 



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  • Date: 14 Jun 2024
  • Time: 11:00 AM to 01:00 PM
  • All times are (UTC-05:00) Central Time (US & Canada)
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  • 851 S Morgan St
  • Chicago, Illinois
  • United States 60607
  • Building: SEO Building
  • Room Number: 1000
  • Click here for Map

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  • Starts 05 June 2024 12:00 AM
  • Ends 14 June 2024 12:00 AM
  • All times are (UTC-05:00) Central Time (US & Canada)
  • No Admission Charge


  Speakers

George of Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA), Greece

Topic:

Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential

The upcoming 6G pushes the 5G performance indicators to unprecedented levels, envisioning up to THz frequencies, devices with embedded sensing capabilities, and native artificial intelligence. These challenging features are expected to become a reality around 2030 and with a strong green footprint. In this talk, we will elaborate around the emerging technology of reconfigurable intelligent surfaces and its efficient configuration optimization via state-of-the-art sensing-capable hardware architectures. We will discuss recent results on the capacity characterization of multi-RIS-empowered point-to-point and multiple-access channels, and then present a reinforcement learning approach for the orchestration of multi-RIS-empowered smart wireless environments. We will also discuss the latest considerations of the latter environments for sensing-aided communications and distributed sensing.

Biography:

George C. Alexandropoulos received the Engineering Diploma (Integrated M.S.c), M.A.Sc. (Hons), and Ph.D. degrees in Computer Engineering and Informatics from the School of Engineering, University of Patras, Greece in 2003, 2005, and 2010, respectively. He has held senior research positions at various Greek universities and research institutes, and he was a Senior Research Engineer and a Principal Researcher at the Mathematical and Algorithmic Sciences Lab, Paris Research Center, Huawei Technologies France, and at the Technology Innovation Institute, Abu Dhabi, United Arab Emirates, respectively. He is currently an Associate Professor with the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA), Greece. His research interests span the general areas of algorithmic design and performance analysis for wireless networks with emphasis on multi-antenna transceiver hardware architectures, full duplex radios, active and passive Reconfigurable Intelligent Surfaces (RISs), Integrated Sensing and Communications (ISAC), millimeter wave and THz communications, as well as distributed machine learning algorithms. He currently serves as an Editor for IEEE Transactions on Communications, IEEE Wireless Communications Letters, Frontiers in Communications and Networks, and the ITU Journal on Future and Evolving Technologies. Prof. Alexandropoulos is a Senior Member of the IEEE Communications, Signal Processing, Vehicular Technology, and Information Theory Societies, the vice-chair of the EURASIP Technical Area Committee on Signal Processing for Communications and Networking, as well as a registered Professional Engineer of the Technical Chamber of Greece. He is also a Distinguished Lecturer of the IEEE Communications Society. He has participated and/or technically managed more than 15 European Union (EU), international, and Greek research, innovation, and development projects. He is currently NKUA's principal investigator for the H2020 RISE‑6G and ESA PRISM projects, as well as the SNS JU projects TERRAMETA and 6G-DISAC dealing with RIS-empowered smart wireless environments, RIS-enabled localization and mapping, distributed ISAC, and THz RISs, respectively. He has received the best Ph.D. thesis award 2010, the IEEE Communications Society (ComSoc) Best Young Professional in Industry Award 2018, the EURASIP Best Paper Award of the Journal on Wireless Communications and Networking 2021, the IEEE Marconi Prize Paper Award in Wireless Communications 2021, the Best Paper Award from the IEEE GLOBECOM 2021, the IEEE ComSoc Fred Ellersick Prizes 2023 and 2024, and the IEEE ComSoc Leonard G. Abraham Prize 2024. More information is available at www.alexandropoulos.info

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Agenda

Welcome address : Besma Smida , North America COMSOC Director

Distinguished Lecture : George C. Alexandropoulos - Multi-RIS-empowered smart wireless networks: Capacity characterization and environment learning potential

Closing Notes : Prasenjit Banerjee , COMSOC Chicago Chapter Chair