Machine Learning for Reliable Communication in 5G and 6G Wireless Systems


Machine Learning for Reliable Communication in 5G and 6G Wireless Systems On Wednesday 30th November at 12H00 PM Montreal Time zone ZOOM LINK: MEETING ID: 847 2164 0964 PASSWORD: 170254 ABSTRACT Machine Learning (ML) has shown a great potential in revolutionizing communication system worldwide. The ever-increasing complexity of the wireless network, and the emergence of novel use cases such as autonomous cars, industrial automation, virtual reality, e-health, and several intelligent applications, machine learning (ML) is expected to be essential to assist in making the 5G vision conceivable. The cognitive optimization of essential radio resources for efficient end-to-end communication, enabling improvement in conventional communication theories and new architectural development can be facilitated in 5G and 6G by the use of machine learning. Hence, a comprehensive overview of emerging studies on machine learning and deep learning (DL) based physical and MAC layer enhancements in 5G will be presented. To be specific a brief idea regarding the 5G service classes (i.e. eMBB, URLLC and mMTC) and the scope of ML and DL in facilitating the QoS requirements will be focused. In addition to this, the challenges and possible solutions in implementing ML and DL in 5G will be presented. The open research areas will be presented for motivating further developments in enabling 5G and beyond wireless communication. Speaker(s): Dr. Annapurna Pradhan, Virtual:

Trends in Dynamic Modeling of Converter Dominated Power Systems

Room: EV.3.309, Bldg: EV building, Concordia University, 1515 Sainte-Catherine O, Montréal, QC H3G 2W1, Montreal, Quebec, Canada, H3G 2W1

The trend in electric power systems is the displacement of traditional synchronous generation (e.g., coal, natural gas) with renewable energy resources (e.g., wind, solar photovoltaic) and battery energy storage. These energy resources require power electronic converters (PECs) to interconnect to the electric grid that have different dynamic responses compared to conventional synchronous generators. As a result, there is a need for validated models to study and mitigate PEC-based stability issues, especially for converter dominated power systems (e.g., island power systems, remote microgrids). This talk will provide a review of the existing PEC models focusing on data driven modeling approaches and how to leverage power hardware in-the-loop experiments to model PEC. The talk will conclude with open research questions in the area of modeling, simulation, and control of future converter dominated power systems. Co-sponsored by: PES/IES/IAS/PE IEEE Montreal Chapters Speaker(s): Dr. Reinaldo Tonkoski , Room: EV.3.309, Bldg: EV building, Concordia University, 1515 Sainte-Catherine O, Montréal, QC H3G 2W1, Montreal, Quebec, Canada, H3G 2W1

The 6th Montreal Photonics Networking Event

Room: SALON DES DIPLÔMÉS (E-2033), Bldg: Pavillion E, 1220 Notre-Dame St W , Montréal, Quebec, Canada, H3C 1K5

You are invited to attend the 6th Montreal Photonics Networking Event on Friday 2nd December 2022. The event is free and four cash prizes of $250 each are available to eligible contributions. There are no registration fees. Co-sponsored by: Optonique, TRACQ, Excelitas Technologies, ETS, INTRIQ, STARACOM, COPL, Numana Speaker(s): Philippe Babin, Agenda: - 10:30-11:00: registration & poster set-up - 11:00-12:00: Poster session #1 dedicated to Dr. Andrea Rovere - 12:00 PM – 1:00 PM: Networking, lunch, & Chair Welcome - 1:00 PM – 2:00 PM: Industry plenary speaker - 2:00 PM – 3:00 PM: Montréal lab fair & poster session #2 - 3:00 PM – 4:00 PM: Student Speed-networking - 4:00 PM – 4:30 PM: announcement of presentation competition winners and closing speech. - 4:30 PM – 6:30 PM: Social networking Room: SALON DES DIPLÔMÉS (E-2033), Bldg: Pavillion E, 1220 Notre-Dame St W , Montréal, Quebec, Canada, H3C 1K5

Algorithms & protocols joint coms, localization, sensing by Dr. George Alexandropoulos


Title: Reconfigurable intelligent surfaces: Communications, sensing, and their integration Abstract: The advent of the connected things paradigm within 5G wireless communications enabled various sophisticated applications, whose evolution paves the way for the notion of the connected intelligence of everything in 6G networks. Recent speculations for this upcoming new generation push the 5G performance indicators to unprecedented levels, envisioning THz frequency bands, devices with embedded sensing capabilities, and native AI. All these 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 (RISs) which is provisioned as the enabler of smart wireless environments, offering a highly scalable, low-cost, hardware-efficient, and almost energy-neutral solution for the dynamic control of the propagation of electromagnetic signals. We will discuss their evolution from programmable reflecting metamaterials to connected computational- and power-autonomous hybrid metasurfaces, emphasizing on the state-of-the-art approaches for RIS-empowered communications, localization, and sensing. Short Biography: George C. Alexandropoulos received the Engineering Diploma, M.A.Sc., 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 research positions at various Greek universities and research institutes, as well as at the Mathematical and Algorithmic Sciences Lab, Paris Research Center, Huawei Technologies France, and he is currently an Assistant Professor with the Department of Informatics and Telecommunications, School of Sciences, National and Kapodistrian University of Athens (NKUA), Greece. He also serves as a Principal Researcher for the Technology Innovation Institute, Abu Dhabi, United Arab Emirates. His research interests span the general areas of algorithmic design and performance analysis for wireless networks with emphasis on multi-antenna transceiver hardware architectures, active and passive Reconfigurable Intelligent Surfaces (RISs), integrated communications and sensing, 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, ELSEVIER Computer Networks, Frontiers in Communications and Networks, and the ITU Journal on Future and Evolving Technologies. In the past, he has held various fixed-term and guest editorial positions for IEEE Transactions on Wireless Communications and IEEE Communications Letters, as well as for various special issues at IEEE journals. Prof. Alexandropoulos is a Senior Member of the IEEE Communications, Signal Processing, and Information Theory Societies, the vice-chair of the (, 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 EU H2020 RISE‑6G and the SNS JU TERRAMETA projects dealing with RIS-empowered smart wireless environments and THz RISs, respectively. For the former project he also serves as the dissemination manager, whereas for the latter, he also serves as the project’s technical manager. Prof. Alexandropoulos has received the best Ph.D. thesis award 2010, the IEEE Communications Society 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, and a Best Paper Award from the IEEE GLOBECOM 2021. More information is available at Co-sponsored by: Tamseel Mahmood - [email protected] Virtual: