Tutorials

List of Tutorials

TUT-1: Evolution of NOMA Toward Next Generation Multiple Access
TUT-2: On the Way to Wi-Fi 8: From Extremely High Throughput to Ultra High Reliability
TUT-3: Federated Learning: A Communications and Signal Processing Perspective
TUT-4: Rate Splitting Multiple Access for 6G: Fundamentals, Applications, and Open Issues
TUT-5: Task-oriented and Semantic-aware Communications and Networking for 6G
TUT-6: Robust Information Processing and Optimization for Resilient 6G Networks
TUT-7: Spectrum Sharing and Coexistence towards Integrated Sensing and Communications
TUT-8: Introduction to Quantum Communications
TUT-9: Fundamental Theory and Recent Progress of Cell-Free Massive MIMO
TUT-10: Interplay between Sensing and Communications: Fundamental Limits, Signal Processing, and Prototyping
TUT-11: 5G Non-Terrestrial Networks (NTN): Recent Advancements, Open Challenges, and the Way Towards 6G-NTN
TUT-12: Leveraging Smart Wireless Environments for Beyond 5G Localization and Sensing
TUT-13: Localization-of-Things: From Foundation to B5G Ecosystem
TUT-14: Wireless Edge intelligence: From Edge Learning to Goal-oriented Communications
TUT-15: Meta Learning for Future Wireless Networks: Basics and Applications
TUT-16: Holographic Radio: A New Paradigm for Future Ultra-Massive MIMO
TUT-17: Physical Layer Security for communication and sensing: Latest Trends, Threats, and Countermeasures
TUT-18: Towards Edge Intelligence for the Metaverse: A Tutorial
TUT-19: Truth inference in Crowdsensing
TUT-20: Enabling Global Intelligence with Low Earth Orbit Satellite Constellations
TUT-21: 6G and Quantum Communication Networks
TUT-22: Near-Field Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions
TUT-23: Statistical Learning with Generative Models for Communications
TUT-24: Multicarrier-Division Duplex: A Duplexing Technique for Shift from 5G to 6G
TUT-25: EMF Exposure-aware Analysis and Optimization of Wireless Networks: A Multidisciplinary Approach
TUT-26: Toward a New Vision of Space Communications: Design Philosophy and Technologies
TUT-27: Machine Learning Over-the-Air: Two Tales of Interference
TUT-28: Channel Coding and Decoding for Beyond 5G Communications
TUT-29: Delay-Doppler Domain Communications and Sensing
TUT-30: Semantic Wireless Communications: Joint Communication and Computation Perspective
TUT-31: Digital Twins for 6G Communications and Networking
TUT-32: Federated Analytics: A Bridge Between Data Science and Machine Learning
TUT-33: Integrated Space-Aerial-Terrestrial Wireless Networks for Global Connectivity (ONLINE)
TUT-34: 6G Wireless Channel Measurements, Characteristics Analysis, and Modeling Methodologies

TUT-1: Evolution of NOMA Toward Next Generation Multiple Access

28 May (AM)

Abstract:

Coming soon

Speakers:

Zhiguo Ding; Yuanwei Liu

Yuanwei Liu

Yuanwei Liu received the PhD degree in electrical engineering from the Queen Mary University of London, U.K., in 2016. He was with the Department of Informatics, King's College London, from 2016 to 2017, where he was a Post-Doctoral Research Fellow. He has been a Senior Lecturer (Associate Professor) with the School of Electronic Engineering and Computer Science, Queen Mary University of London, since Aug. 2021, where he was a Lecturer (Assistant Professor) from 2017 to 2021. His research interests include non-orthogonal multiple access, reconfigurable intelligent surface, integrated sensing and communications, and machine learning. He has been a Web of Science Highly Cited Researcher since 2021, an IEEE Communication Society Distinguished Lecturer, an IEEE Vehicular Technology Society Distinguished Lecturer, and the academic Chair for the Next Generation Multiple Access Emerging Technology Initiative. He received IEEE ComSoc Outstanding Young Researcher Award for EMEA in 2020. He received the 2020 IEEE Signal Processing and Computing for Communications (SPCC) Technical Early Achievement Award, IEEE Communication Theory Technical Committee (CTTC) 2021 Early Achievement Award. He received IEEE ComSoc Outstanding Nominee for Best Young Professionals Award in 2021. He is the co-recipient of the Best Student Paper Award in IEEE VTC2022-Fall, the Best Paper Award in ISWCS 2022, and the 2022 IEEE SPCC-TC Best Paper Award. He serves as a Senior Editor of IEEE Communications Letters, an Editor of the IEEE Transactions on Wireless Communications and the IEEE Transactions on Communications. He serves as the Guest Editor for IEEE JSAC on Next Generation Multiple Access, IEEE JSTSP on Signal Processing Advances for Non-Orthogonal Multiple Access, IEEE Network on Next Generation Multiple Access for 6G. He serves as the Publicity Co-Chair for IEEE VTC 2019-Fall, Symposium Co-Chair for Cognitive Radio & AI-Enabled Networks for IEEE GLOBECOM 2022 and Communication Theory for IEEE GLOBECOM 2023. He serves as the chair of Special Interest Group (SIG) in SPCC Technical Committee on signal processing Techniques for next generation multiple access, the vice-chair of SIG WTC on Reconfigurable Intelligent Surfaces for Smart Radio Environments.

TUT-2: On the Way to Wi-Fi 8: From Extremely High Throughput to Ultra High Reliability

28 May (AM)

Abstract:

What will Wi-Fi be in 2030? As hordes of data-hungry devices challenge its current capabilities, the IEEE strikes again with 802.11be—alias Wi-Fi 7—while also paving the way for its successor: Wi-Fi 8. These brand-new amendments promise a (r)evolution of unlicensed wireless connectivity as we know it, unlocking access to gigabit, reliable and low-latency communications, and reinventing manufacturing and social interaction through digital augmentation. With the development of Wi-Fi 7 underway and the standardization of Wi-Fi 8 about to kick off, we will shed light from both an industrial and an academical perspective on the must-have features to make unlicensed wireless the new wired.

Speakers:

Lorenzo Galati Giordano; Giovanni Geraci; Boris Bellalta

Lorenzo Galati Giordano

Lorenzo Galati Giordano (SM’20) is Senior Research Engineer at Nokia Bell Labs Germany since 2015, producing leading research contributions in the area of radio systems operating in the unlicensed spectrum. Lorenzo has more than 15 years of academical and industrial experience on communication systems, protocols, and standards, resulting in the co-authoring of tens of commercial patents, publications in prestigious books, IEEE journals and conferences, and standard contributions. He was previously R&D System Engineer for Azcom Technology, an Italian SME, from 2010 to 2014, holds a PhD from Politecnico di Milano university in Italy and a post-graduate master's degree in Innovation Management from IlSole24Ore Business School, Italy. Lorenzo’s current focus is on next generation Wi-Fi technologies and reliable low-latency techniques for the unlicensed spectrum.

Giovanni Geraci

Giovanni Geraci is an Assistant Professor and the Head of Telecommunications Engineering at Universitat Pompeu Fabra in Barcelona. He was previously with Nokia Bell Labs and holds a dozen patents on wireless cellular and unlicensed technologies. He has been serving as Distinguished Lecturer for the IEEE Communications Society and the IEEE Vehicular Technology Society. He received the IEEE ComSoc EMEA Outstanding Young Researcher Award and Best Paper Awards at IEEE PIMRC’19 and IEEE Globecom’22.

TUT-3: Federated Learning: A Communications and Signal Processing Perspective

28 May (AM)

Abstract:

Coming soon

Speakers:

Nir Shlezinger; Yonina C. Eldar; Deniz Gündüz; Kobi Cohen

Yonina C. Eldar

Yonina Eldar is a Professor in the Department of Mathematics and Computer Science, Weizmann Institute of Science, Rehovot, Israel where she heads the center for Biomedical Engineering and Signal Processing and holds the Dorothy and Patrick Gorman Professorial Chair. She is also a Visiting Professor at MIT, a Visiting Scientist at the Broad Institute, and an Adjunct Professor at Duke University and was a Visiting Professor at Stanford. She is a member of the Israel Academy of Sciences and Humanities, an IEEE Fellow and a EURASIP Fellow. She received the B.Sc. degree in physics and the B.Sc. degree in electrical engineering from Tel-Aviv University, and the Ph.D. degree in electrical engineering and computer science from MIT, in 2002. She has received many awards for excellence in research and teaching, including the IEEE Signal Processing Society Technical Achievement Award (2013), the IEEE/AESS Fred Nathanson Memorial Radar Award (2014) and the IEEE Kiyo Tomiyasu Award (2016). She was a Horev Fellow of the Leaders in Science and Technology program at the Technion and an Alon Fellow. She received the Michael Bruno Memorial Award from the Rothschild Foundation, the Weizmann Prize for Exact Sciences, the Wolf Foundation Krill Prize for Excellence in Scientific Research, the Henry Taub Prize for Excellence in Research (twice), the Hershel Rich Innovation Award (three times), and the Award for Women with Distinguished Contributions. She received several best paper awards and best demo awards together with her research students and colleagues, was selected as one of the 50 most influential women in Israel, and was a member of the Israel Committee for Higher Education. She is the Editor in Chief of Foundations and Trends in Signal Processing, a member of several IEEE Technical Committees and Award Committees, and heads the Committee for Promoting Gender Fairness in Higher Education Institutions in Israel.

Kobi Cohen

Kobi Cohen received his B.Sc. and Ph.D. degrees in electrical engineering from Bar-Ilan University, Ramat Gan, Israel, in 2007 and 2013, respectively. He was with the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign (08/2014–07/2015) and the Department of Electrical and Computer Engineering at the University of California, Davis (11/2012–07/2014) as a postdoctoral research associate. In October 2015, he joined the School of Electrical and Computer Engineering at Ben-Gurion University of the Negev (BGU), Beer Sheva, Israel, where he is currently an Associate Professor. He is also a member of the Cyber Security Research Center, and the Data Science Research Center at BGU. His main research interests include statistical inference and learning, signal processing, communication networks, decision theory and stochastic optimization with applications to large-scale systems, cyber systems, wireless and wireline networks. Prof. Cohen is a Senior Member of IEEE. Since 2021, he serves as an Associate Editor of the IEEE Transactions on Signal Processing, and the IEEE Transactions on Wireless Communications. Other selected Awards and Honors include highlighting in top 50 popular paper list, IEEE Transactions on Wireless Communications (2019, 2020) for paper: "Deep multi-user reinforcement learning for distributed dynamic spectrum access", highlighting in popular paper list, IEEE Signal Processing Magazine (2022) for paper: "Federated Learning: A signal processing perspective", receiving the Best Paper Award in the International Symposium on Modeling and Optimization in Mobile, Ad hoc and Wireless Networks (WiOpt) 2015, the Feder Family Award (second prize), awarded by the Advanced Communication Center at Tel Aviv University (2011), and President Fellowship (2008-2012) and top Honor List's prizes (2006, 2010, 2011) from Bar-Ilan University.

TUT-4: Rate Splitting Multiple Access for 6G: Fundamentals, Applications, and Open Issues

28 May (AM)

Abstract:

Coming soon

Speakers:

Bruno Clerckx; Yijie Mao

Yijie Mao

Yijie (Lina) Mao is an Assistant Professor at the School of Information Science and Technology, ShanghaiTech University, Shanghai, China. She received the B.Eng. degree from the Beijing University of Posts and Telecommunications, and the B.Eng. (Hons.) degree from the Queen Mary University of London (London, United Kingdom) in 2014. She received the Ph.D. degree in the Electrical and Electronic Engineering Department from the University of Hong Kong (Hong Kong, China) in 2018. She was a Postdoctoral Research Fellow at the University of Hong Kong (Hong Kong, China) from Oct. 2018 to Jul. 2019 and a postdoctoral research associate with the Communications and Signal Processing Group (CSP), Department of the Electrical and Electronic Engineering at the Imperial College London (London, United Kingdom) from Aug. 2019 to Jul. 2021. Her research interests include the design of future wireless communications and artificial intelligence-empowered wireless networks. She is a senior member of China Institute of Communications. Dr. Mao receives the Best Paper Award of EURASIP Journal on Wireless Communications and Networking 2022, the Exemplary Reviewer for IEEE Transactions on Communications 2021 and IEEE Communications Letters 2022. She is currently serving as an editor for IEEE Communications Letters, and a guest editor for two special issues of IEEE Journal on Selected Areas in Communications and IEEE Open Journal of the Communications Society. She has been a workshop co-chair for 2020-2022 IEEE ICC, 2021-2023 IEEE WCNC, and 2020-2022 IEEE PIMRC, and she has been a Technical Program Committee (TPC) member of many symposia on wireless communication for several leading international IEEE conferences.

TUT-5: Task-oriented and Semantic-aware Communications and Networking for 6G

28 May (AM)

Abstract:

Coming soon

Speakers:

Yansha Deng; Nikolaos Pappas; Jun Zhang

Yansha Deng

Yansha Deng (Senior Member, IEEE) received the Ph.D. degree in electrical engineering from the Queen Mary University of London, U.K., in 2015. From 2015 to 2017, she was a Post-Doctoral Research Fellow with King’s College London, U.K, where she is currently a Senior Lecturer (an Associate Professor) with the Department of Engineering. Her research interests include molecular communication and machine learning for 5G/6G wireless networks. She was a recipient of the Best Paper Awards from ICC 2016 and GLOBECOM 2017 as the first author and IEEE Communications Society Best Young Researcher Award for the Europe, Middle East, and Africa Region 2021. She also received the Exemplary Reviewers of the IEEE TRANSACTIONS ON COMMUNICATIONS in 2016 and 2017 and IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS in 2018. She has served as a TPC Member for many IEEE conferences, such as IEEE GLOBECOM and ICC. She is currently an Associate Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS and IEEE TRANSACTIONS ON MOLECULAR, BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS, a Senior Editor of the IEEE COMMUNICATIONS LETTERS, and the Vertical Area Editor of IEEE Internet of Things Magazine.

Nickolaos Pappas

Nikolaos Pappas (Senior Member, IEEE) received the B.Sc. degree in computer science, the B.Sc. degree in mathematics, the M.Sc. degree in computer science, and the Ph.D. degree in computer science from the University of Crete, Greece, in 2005, 2012, 2007, and 2012, respectively. From 2005 to 2012, he was a Graduate Research Assistant with the Telecommunications and Networks Laboratory, Institute of Computer Science, FORTH, Heraklion, Greece, and a Visiting Scholar with the Institute of Systems Research, University of Maryland at College Park, College Park, MD, USA. From 2012 to 2014, he was a postdoctoral Researcher with the Department of Telecommunications, CentraleSupélec, Gif-sur-Yvette, France. He is currently an Associate Professor with the Department of Computer and Information Science, Linköping University, Linköping, Sweden. His main research interests include the field of wireless communication networks with an emphasis on semantics-aware communications, energy harvesting networks, network-level cooperation, age of information, and stochastic geometry. Dr. Pappas has served as the Symposium Co-Chair of the IEEE International Conference on Communications in 2022 and the IEEE Wireless Communications and Networking Conference in 2022. He is an Editor of the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE Transactions on Machine Learning in Communications and Networking, the IEEE/KICS JOURNAL OF COMMUNICATIONS AND NETWORKS, area editor of the IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY and an Expert Editor for invited papers of the IEEE COMMUNICATIONS LETTERS. He is a guest editor of the IEEE Internet of Things Magazine and the IEEE Network. He was a Guest Editor of the IEEE INTERNET OF THINGS JOURNAL on “Age of Information and Data Semantics for Sensing, Communication and Control Co-Design in IoT.”

TUT-6: Robust Information Processing and Optimization for Resilient 6G Networks

28 May (AM)

Abstract:

Coming soon

Speakers:

Eduard A Jorswieck; Pin-Hsun Lin; Tsung-Hui Chang; Shih-Chun Lin

Eduard A Jorswieck

Eduard A. Jorswieck (Fellow, IEEE) is currently the Managing Director of the Institute of Communications Technology, the Head of the Chair for Communications Systems, and a Full Professor at Technische Universitaet Braunschweig, Brunswick, Germany. From 2008 until 2019, he was the Head of the Chair of Communications Theory and a Full Professor at TU Dresden, Germany. His main research interests are in the broad area of communications, applied information theory, signal processing and networking. He has published some 150 journal papers, 15 book chapters, three monographs, one book and more than 300 conference papers on these topics. In 2006, he received the IEEE Signal Processing Society Best Paper Award. Since 2017, he serves as an Editor-in-Chief of the Springer EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING. He currently serves as an Editor for IEEE TRANSACTIONS ON COMMUNICATIONS. He has served on the Editorial Boards for IEEE TRANSACTIONS ON SIGNAL PROCESSING,IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE SIGNAL PROCESSING LETTERS, and IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY.

Shih-Chun Lin

Shih-Chun Lin (Senior Member, IEEE) received the B.S. and Ph.D. degrees in electrical engineering from the National Taiwan University, Taipei, Taiwan, in 2000 and 2007, respectively. He was a Visiting Student with The Ohio State University, Columbus, OH, USA, in 2007. From 2012 to 2021, he was with the National Taiwan University of Science and Technology, Taipei. In August 2021, he joined the National Taiwan University as an Associate Professor. His research interests include information theory, communications, and cyber-physical security. He received the Best Paper Award for Young Authors from the IEEE IT/COM Society Taipei/Tainan Chapter in 2015 and the Project for Excellent Junior Research Investigators twice from the Ministry of Science and Technology, Taiwan, in 2015 and 2018. He serves as the TPC Co-Chair for the IEEE ICC Workshop on B5G-URLLC 2019 and the Publication Chair for the IEEE ISIT 2023 and GLOBECOM 2020.

TUT-7: Spectrum Sharing and Coexistence towards Integrated Sensing and Communications

28 May (AM)

Abstract:

Coming soon

Speakers:

Constantinos B. Papadias; Tharmalingam Ratnarajah; Dirk Slock; Christos Masouros

TUT-8: Introduction to Quantum Communications

28 May (AM)

Abstract:

Moore's laws has indeed prevailed since he outlined his empirical rule-of-thumb in 1965, but based on this trend the scale of integration is set to depart from classical physics, entering nano-scale integration, where the postulates of quantum physics have to be obeyed. The quest for quantum-domain communication solutions was inspired by Feynman's revolutionary idea in 1985: particles such as photons or electrons might be relied upon for encoding, processing and delivering information. Hence in the light of these trends it is extremely timely to build an interdisciplinary momentum in the area of quantum communications, where there is an abundance of open problems for a broad community to solve collaboratively.

Speaker:

Lajos Hanzo

Lajos Hanzo (http://www-mobile.ecs.soton.ac.uk, https://en.wikipedia.org/wiki/Lajos_Hanzo) (FIEEE'04) received Honorary Doctorates from the Technical University of Budapest and Edinburgh University. 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.

TUT-9: Fundamental Theory and Recent Progress of Cell-Free Massive MIMO

28 May (PM)

Abstract:

Coming soon

Speakers:

Emil Björnson; Jiayi Zhang

Emil Björnson

Emil Björnson is a Professor of Wireless Communication at the KTH Royal Institute of Technology, Stockholm, Sweden. He is an IEEE Fellow, Digital Futures Fellow, and Wallenberg Academy Fellow. He has a podcast and YouTube channel called Wireless Future. His research focuses on multi-antenna communications and radio resource management, using methods from communication theory, signal processing, and machine learning. He has authored three textbooks and has published a large amount of simulation code. He has received the 2018 and 2022 IEEE Marconi Prize Paper Awards in Wireless Communications, the 2019 EURASIP Early Career Award, the 2019 IEEE Communications Society Fred W. Ellersick Prize, the 2019 IEEE Signal Processing Magazine Best Column Award, the 2020 Pierre-Simon Laplace Early Career Technical Achievement Award, the 2020 CTTC Early Achievement Award, and the 2021 IEEE ComSoc RCC Early Achievement Award. He also received six Best Paper Awards at conferences.

Jiayi Zhang

Jiayi Zhang received the B.Sc. and Ph.D. degree from Beijing Jiaotong University, China in 2007 and 2014, respectively. Since 2016, he has been a Professor with School of Electronic and Information Engineering, Beijing Jiaotong University, China. His current research interests include cell-free massive MIMO, reconfigurable intelligent surface, and extremely large-scale massive MIMO. He was the Exemplary Editor of IEEE CL in 2021. He was the Lead Guest Editor of the special issue on "Multiple Antenna Technologies for Beyond 5G" of the IEEE JSAC. He currently serves as an Associate Editor for IEEE TCOM.

TUT-10: Interplay between Sensing and Communications: Fundamental Limits, Signal Processing, and Prototyping

28 May (PM)

Abstract:

Coming soon

Speakers:

Fan Liu; Christos Masouros; Yonina C. Eldar

Fan Liu

Dr. Fan Liu is currently an Assistant Professor of the Department of Electrical and Electronic Engineering, Southern University of Science and Technology (SUSTech). He received the Ph.D. and the BEng. degrees from Beijing Institute of Technology (BIT), Beijing, China, in 2018 and 2013, respectively. He has previously held academic positions in the University College London (UCL), UK, first as a Visiting Researcher from 2016 to 2018, and then as a Marie Curie Research Fellow from 2018 to 2020. Dr. Fan Liu's research interests lie in the general area of signal processing and wireless communications, and in particular in the area of Integrated Sensing and Communications (ISAC). He has 10 publications selected as IEEE ComSoc Besting Readings in ISAC. He is the Founding Academic Chair of the IEEE ComSoc ISAC Emerging Technology Initiative (ISAC-ETI), an Associate Editor for the IEEE Communications Letters and the IEEE Open Journal of Signal Processing, and a Guest Editor of the IEEE Journal on Selected Areas in Communications, IEEE Wireless Communications, and China Communications. He was also an organizer and Co-Chair for numerous workshops, special sessions and tutorials in flagship IEEE/ACM conferences, including ICC, GLOBECOM, ICASSP, and MobiCom. He is the TPC Co-Chair of the 2nd and 3rd IEEE Joint Communication and Sensing Symposium (JC&S), and will serve as a Symposium Co-Chair for the IEEE GLOBECOM 2023 and IEEE WCNC 2024. He is a Member of the IMT-2030 (6G) ISAC Task Group. He was the recipient of the IEEE Signal Processing Society Young Author Best Paper Award of 2021, the Best Ph.D. Thesis Award of Chinese Institute of Electronics of 2019, the EU Marie Curie Individual Fellowship in 2018, and has been named as an Exemplary Reviewer for IEEE TWC/TCOM/COMML for 5 times. Dr. Liu was listed in the World's Top 2% Scientists by Stanford University for citation impact in 2021 and 2022.

Yonina C. Eldar

TUT-11: 5G Non-Terrestrial Networks (NTN): Recent Advancements, Open Challenges, and the Way Towards 6G-NTN

28 May (PM)

Abstract:

Coming soon

Speakers:

Sumit Kumar; Jorge Querol; Symeon Chatzinotas

TUT-12: Leveraging Smart Wireless Environments for Beyond 5G Localization and Sensing

28 May (PM)

Abstract:

Coming soon

Speakers:

George C. Alexandropoulos; Henk Wymeersch

George C. Alexandropoulos

George C. Alexandropoulos holds the Ph.D. degree in wireless communications from the School of Engineering, University of Patras, Greece. 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 Assistant 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 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, 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 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, as the technical manager. He 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 www.alexandropoulos.info.

Henk Wymeersch

Henk Wymeersch obtained the Ph.D. degree in Electrical Engineering/Applied Sciences in 2005 from Ghent University, Belgium. He is currently a Professor of Communication Systems with the Department of Electrical Engineering at Chalmers University of Technology, Sweden. He is also a Distinguished Research Associate with Eindhoven University of Technology. Prior to joining Chalmers, he was a postdoctoral researcher from 2005 until 2009 with the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology. Prof. Wymeersch served as Associate Editor for IEEE Communication Letters (2009-2013), IEEE Transactions on Wireless Communications (since 2013), and IEEE Transactions on Communications (2016-2018) and is currently Senior Member of the IEEE Signal Processing Magazine Editorial Board. During 2019-2021, he was an IEEE Distinguished Lecturer with the Vehicular Technology Society. His current research interests include the convergence of communication and sensing, in a 5G and Beyond 5G context.

TUT-13: Localization-of-Things: From Foundation to B5G Ecosystem

28 May (PM)

Abstract:

Coming soon

Speakers:

Moe Z. Win; Andrea Conti

TUT-14: Wireless Edge intelligence: From Edge Learning to Goal-oriented Communications

28 May (PM)

Abstract:

Coming soon

Speakers:

Sergio Barbarossa; Paolo Di Lorenzo; Mattia Merluzzi

TUT-15: Meta Learning for Future Wireless Networks: Basics and Applications

28 May (PM)

Abstract:

Coming soon

Speakers:

Di Wu; Ekram Hossain; Xue Liu

TUT-16: Holographic Radio: A New Paradigm for Future Ultra-Massive MIMO

28 May (PM)

Abstract:

Coming soon

Speakers:

Hongliang Zhang; Boya Di; Zhu Han; Lingyang Song

Hongliang Zhang

Hongliang Zhang (S’15-M’19) received B.S. and Ph.D. degrees at the School of Electrical Engineering and Computer Science at Peking University, in 2014 and 2019, respectively, where he is currently an assistant professor with School of Electronics. Prior to that, he was a Postdoctoral Associate at Princeton University and University of Houston. His current research interests include reconfigurable intelligent surfaces, aerial access networks, optimization theory, and game theory. He received the best doctoral thesis award from Chinese Institute of Electronics in 2019. He is also the recipient of 2021 IEEE Comsoc Heinrich Hertz Award for Best Communications Letters and 2021 IEEE ComSoc Asia-Pacific Outstanding Paper Award. He has served as a TPC Member and a workshop co-chair for many IEEE conferences. He is the winner of the Outstanding Leadership Award as the publicity chair for IEEE EUC in 2022. He is currently an Editor for IEEE Transactions on Vehicular Technology, IEEE Communications Letters, IET Communications, and Frontiers in Signal Processing. He has also served as a Guest Editor for several journals, such as IEEE Internet of Things Journal and Journal of Communications and Networks. He is an exemplary reviewer for IEEE Transactions on Communications in 2020.

TUT-17: Physical Layer Security for communication and sensing: Latest Trends, Threats, and Countermeasures

01 June (AM)

Abstract:

In this tutorial, we will cover both communication and sensing security from a broader perspective. Even though, more emphasis on PHY security is given, other security measures will also be covered for the sake of completeness and as a step towards cross-layer security and cognitive security vision. After discussing the features and probabilities of wireless channel from both communication and sensing perspectives, exploitation of these for secure transmission will be treated in detail utilizing various approaches. We will cover wireless sensing and radio environment concepts along with the related security implications in terms of eavesdropping, disruption, manipulation and, in general, the exploitation of wireless sensing by illegitimate users. Various solutions for these threats from the domains of wireless communication, military radars, machine learning and more will be discussed.

Speaker:

Hüseyin Arslan

Dr. Arslan (IEEE Fellow, NAI Fellow, Member of Turkish Academy of Science) received his BS degree from the Middle East Technical University (METU), Ankara, Turkey in 1992; his MS and Ph.D. degrees were received respectively in 1994 and 1998 from Southern Methodist University (SMU), Dallas, TX. From January 1998 to August 2002, he was with the research group of Ericsson, where he was involved with several projects related to 2G and 3G wireless communication systems. Between August 2002 and August 2022, he was with the Electrical Engineering Department, at the University of South Florida, where he was a Professor. In December 2013, he joined Istanbul Medipol University to found the Engineering College, where he has been working as the Dean of the School of Engineering and Natural Sciences. In addition, he has worked as a part-time consultant for various companies and institutions including Anritsu Company, Savronik Inc., and The Scientific and Technological Research Council of Turkey.

Dr. Arslan conducts research in wireless systems, with emphasis on the physical and medium access layers of communications. His current research interests are on 6G and beyond radio access technologies, physical layer security, interference management (avoidance, awareness, and cancellation), cognitive radio, multi-carrier wireless technologies (beyond OFDM), dynamic spectrum access, co-existence issues, non-terrestial communications (High Altitude Platforms), joint radar (sensing) and communication designs.

Dr. Arslan has served as general chair, technical program committee chair, session and symposium organizer, workshop chair, and technical program committee member in several IEEE conferences. He is currently a member of the editorial board for the IEEE Surveys and Tutorials and the Sensors Journal. He has also served as a member of the editorial board for the IEEE Transactions on Communications, the IEEE Transactions on Cognitive Communications and Networking (TCCN), and several other scholarly journals by Elsevier, Hindawi, and Wiley Publishing.

TUT-18: Towards Edge Intelligence for the Metaverse: A Tutorial

01 June (AM)

Abstract:

Coming soon

Speakers:

Dusit Niyato; Zehui Xiong; Wei Yang Bryan Lim; Hoang Thai Dinh

Zehui Xiong

Zehui Xiong is currently an Assistant Professor at Singapore University of Technology and Design, and also an Honorary Adjunct Senior Research Scientist with Alibaba-NTU Singapore Joint Research Institute, Singapore. He received the PhD degree in Nanyang Technological University (NTU), Singapore. He was the visiting scholar at Princeton University and University of Waterloo. His research interests include wireless communications, Internet of Things, blockchain, edge intelligence, and Metaverse. He has published more than 150 research papers in leading journals and flagship conferences and many of them are ESI Highly Cited Papers. He has won over 10 Best Paper Awards in international conferences and is listed in the World's Top 2% Scientists identified by Stanford University. He is now serving as the editor or guest editor for many leading journals including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Cognitive Communications and Networking, and IEEE Transactions on Network Science and Engineering. He is the recipient of IEEE Early Career Researcher Award for Excellence in Scalable Computing, IEEE Technical Committee on Blockchain and Distributed Ledger Technologies Early Career Award, IEEE Internet Technical Committee Early Achievement Award, IEEE TCI Rising Star Award, IEEE TCCLD Rising Star Award, IEEE Best Land Transportation Paper Award, IEEE CSIM Technical Committee Best Journal Paper Award, IEEE SPCC Technical Committee Best Paper Award, IEEE VTS Singapore Best Paper Award, Chinese Government Award for Outstanding Students Abroad, and NTU SCSE Best PhD Thesis Runner-Up Award. He is now serving as the Associate Director of Future Communications R&D Programme.

Wei Yang Bryan Lim

Wei Yang Bryan Lim is currently Wallenberg-NTU Presidential Postdoctoral Fellow. He graduated from the Alibaba-NTU Ph.D. Talent Programme in 2022.

Hoang Thai Dinh

Dinh Thai Hoang (M’16, SM’22) is currently a faculty member at the School of Electrical and Data Engineering, University of Technology Sydney, Australia. He received his Ph.D. in Computer Science and Engineering from the Nanyang Technological University, Singapore, in 2016. His research interests include emerging wireless communications and networking topics, especially machine learning applications in networking, edge computing, and cybersecurity. He has received several awards, including the Australian Research Council and IEEE TCSC Award for Excellence in Scalable Computing (Early Career Researcher). He is an Editor of IEEE Transactions on Wireless Communications, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Vehicular Technology, and Associate Editor of IEEE Communications Surveys & Tutorials.

TUT-19: Truth inference in Crowdsensing

01 June (AM)

Abstract:

Coming soon

Speakers:

Panagiotis A. Traganitis; Georgios B. Giannakis

Georgios B. Giannakis

Georgios B. Giannakis received his Diploma in Electrical Engr. (EE) from the Ntl. Tech. U. of Athens, Greece, 1981. From 1982 to 1986 he was with the University of Southern Cal. (USC), where he received his MSc. in EE, 1983, MSc. in Mathematics, 1986, and Ph.D. in EE, 1986. He was with the U. of Virginia from 1987 to 1998, and since 1999 he has been with the U. of Minnesota (UMN), where he held an Endowed Chair of Telecomms., served as director of the Digital Technology Center from 2008-21, and since 2016 he has been a UMN Presidential Chair in ECE. His interests span the areas of statistical learning, communications, and networking - subjects on which he has published more than 485 journal papers, 800 conference papers, 25 book chapters, two edited books and two research monographs. Current research focuses on Data Science with applications to IoT, and power networks with renewables. He is the (co-) inventor of 36 issued patents, and the (co-)recipient of 10 best journal paper awards from the IEEE Signal Processing (SP) and Communications Societies, including the G. Marconi Prize. He also received the IEEE-SPS `Nobert Wiener’ Society Award (2019); EURASIP's `A. Papoulis’ Society Award (2020); Tech. Achievement Awards from the IEEE-SPS (2000), and from EURASIP (2005); the IEEE ComSoc Education Award (2019); the IEEE Fourier Technical Field Award (2015). He is a member of the Academia Europaea, the Academy of Athens, Greece, and Fellow of the US Ntl. Academy of Inventors, the European Academy of Sciences, IEEE and EURASIP. He has served the IEEE in a number of posts, including that of a Distinguished Lecturer for the IEEE-SPS.

TUT-20: Enabling Global Intelligence with Low Earth Orbit Satellite Constellations

01 June (AM)

Abstract:

Large-scale satellite constellations deployed in low Earth orbit (LEO) are essential to achieve truly ubiquitous connectivity. With a proper constellation design and with the necessary communication and processing capabilities, LEO constellations have the ability of providing global coverage, even for low latency Internet services. Because of this, dense constellations of hundreds or even thousands of small satellites flying in LEO are currently under deployment. While their integration into terrestrial mobile networks has begun in 5G Release 17, achieving a full integration and fully exploiting the processing power and the inference capabilities at LEO are major milestones for the next generation of mobile networks (6G) towards highly resilient 3D networking.

The first part of this tutorial will cover fundamentals of satellite constellation design, communications and networking, with a strong focus on mega constellations in LEO. The second part is concerned with bringing the edge computing paradigm and distributed machine learning into LEO.

Speakers:

Bho Matthiesen, Israel Leyva-Mayorga, Petar Popovski

Bho Matthiesen

Bho Matthiesen received the Diplom-Ingenieur (M.Sc.) degree in electrical engineering from Technische Universität Dresden, Dresden, Germany, in 2012, and the Ph.D. degree (with distinction) in electrical engineering from Technische Universität Dresden in 2019. From 2008 to 2010, he was a Student Research Assistant at Technische Universtät Dresden. From 2010 to 2011, he was Research Assistant at Fraunhofer Institute for Telecommunications in Berlin, Germany. From 2012 to 2019, he was a Research Associate with the Chair of Communications Theory, Technische Universität Dresden. He is currently a research group leader and lecturer at the U Bremen Excellence Chair of Petar Popovski in the Department of Communications Engineering, University of Bremen, Germany. His research interests are in communication theory, wireless communications, and optimization theory. Dr. Matthiesen is a Member of IEEE, IEEE ComSoc, IEEE SPS, EURASIP, and VDE/ITG. He is an Exemplary Reviewer 2020 and 2021 of the IEEE Wireless Communications Letters, was an invited speaker at the 2nd 6G Wireless Summit 2020, and a tutorial presenter at IEEE VTC2020-Fall, IEEE ICC 2021 and IEEE ICASSP 2021. He served as a publication co-chair for the International Symposium on Wireless Communication Systems (ISWCS) 2021 and for the International ITG 26th Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding (WSA & SCC 2023). He is an associate editor for the EURASIP Journal on Wireless Communications and Networking and an editorial board member for Scientific Reports (Nature Portfolio).

Israel Leyva-Mayorga

Israel Leyva-Mayorga (Member, IEEE) received the B.Sc. degree in telematics engineering and the M.Sc. degree (Hons.) in mobile computing systems from the Instituto Politécnico Nacional (IPN), Mexico, in 2012 and 2014, respectively, and the Ph.D. degree (cum laude and extraordinary prize) in telecommunications from the Universitat Politècnica de València (UPV), Spain, in 2018. He was a Visiting Researcher at the Department of Communications, UPV, in 2014, and at the Deutsche Telekom Chair of Communication Networks, Technische Universität Dresden, Germany, in 2018. He is currently an Assistant Professor at the Connectivity Section (CNT) of the Department of Electronic Systems, Aalborg University (AAU), Denmark, where he served as a Postdoctoral Researcher from January 2019 to July 2021. He is an Associate Editor for IEEE Wireless Communications Letters, a Board Member for one6G, and a representative of AAU in 6G IA. His research interests include beyond-5G, and 6G networks, satellite communications, and random and multiple access protocols.

TUT-21: 6G and Quantum Communication Networks

01 June (AM)

Abstract:

5G and Beyond networks implied the switch of paradigm from the existing store-and-forward to the future compute-and-forward. This means that computing is going to become the main pillar of future communication networks thanks to the full softwarization of the network stack, protocols and procedures. The characteristics of future generation networks predict an unprecedented rise of demand for storage and computing capacity. However, network virtualization and in general future networks suffer from intrinsic limitations imposed by classical theories. In order to overtake these limits efficiently, entanglement has been proposed as a groundbreaking resource for both communications and computing. Then, understanding all the facets and the ways of applying entanglement in communications is pivotal for researchers in science and engineering to be able to create effective classical-quantum communication networks.

Speakers:

Frank H.P. Fitzek; Holger Boche; Riccardo Bassoli; Roberto Ferrara; Janis Nötzel

Riccardo Bassoli is a Juniorprofessur (US Assistant Professor, UK Lecturer) at the Deutsche Telekom Chair of Communication Networks and head of the Quantum Communication Networks research group, at the Faculty of Electrical and Computer Engineering, at Technische Universität Dresden. He is member of the Cluster of Excellence "Centre for Tactile Internet with Human-in-the-loop (CeTI)", in Dresden. He is also member of the EU Quantum Internet Alliance (QIA) and of the EU flagships for 6G Hexa-X and Hexa-X II. He is principal investigator in the 6G-life research hub of Germany. He got his Ph.D. from 5G Innovation Centre at University of Surrey (UK), in 2016. He was also a Marie Curie ESR at the Instituto de Telecomunicações (Portugal) and visiting researcher at Airbus Defence and Space (France). Between 2016 and 2019, he was postdoctoral researcher at Università di Trento (Italy). He is IEEE and ComSoc member, and part of the Glue Technologies for Space Systems Technical Panel of IEEE AESS. He is co-founder and member of the association "SIGN - Scienziati Italiani in Germania Network".

Riccardo Bassoli

Riccardo Bassoli is a Juniorprofessur (US Assistant Professor, UK Lecturer) at the Deutsche Telekom Chair of Communication Networks and head of the Quantum Communication Networks research group, at the Faculty of Electrical and Computer Engineering, at Technische Universität Dresden. He is member of the Cluster of Excellence "Centre for Tactile Internet with Human-in-the-loop (CeTI)", in Dresden. He is also member of the EU Quantum Internet Alliance (QIA) and of the EU flagships for 6G Hexa-X and Hexa-X II. He is principal investigator in the 6G-life research hub of Germany. He got his Ph.D. from 5G Innovation Centre at University of Surrey (UK), in 2016. He was also a Marie Curie ESR at the Instituto de Telecomunicações (Portugal) and visiting researcher at Airbus Defence and Space (France). Between 2016 and 2019, he was postdoctoral researcher at Università di Trento (Italy). He is IEEE and ComSoc member, and part of the Glue Technologies for Space Systems Technical Panel of IEEE AESS. He is co-founder and member of the association "SIGN - Scienziati Italiani in Germania Network".

TUT-22: Near-Field Communications for 6G: Fundamentals, Challenges, Potentials, and Future Directions

01 June (AM)

Abstract:

Coming soon

Speakers:

Linglong Dai; Haiyang Zhang; Yonina C. Eldar

TUT-23: Statistical Learning with Generative Models for Communications

01 June (PM)

Abstract:

Coming soon

Speaker:

Andrea M Tonello

TUT-24: Multicarrier-Division Duplex: A Duplexing Technique for Shift from 5G to 6G

01 June (PM)

Our research on multicarrier-division duplex (MDD) has envisaged it a most promising duplexing candidate for shifting wireless networks from 5G to 6G. Benefiting from its flexible time-frequency resource usage and efficient management of self-interference and cross-layer interference, MDD exhibits the efficiency and reliability in high-mobility communications and dense (access-point) AP networks. MDD can be seamlessly incorporated with other advanced techniques, such as non-orthogonal multiple access (NOMA) and orthogonal time frequency space (OTFS), thereby providing high-efficiency and robust performance for various types of communications systems, including massive machine type communications, ultra-reliable and low-latency communications and the ultra-high-speed enhanced mobile broadband communications systems. This tutorial provides a comprehensive introduction to the state-of-the-art of MDD based on our research results. It makes an in-depth comparison between MDD and TDD, FDD and in-band full duplex, to demonstrate its advantages and reveal its potential for the design of future wireless systems. The fundamentals of MDD, channel estimation and self-interference cancellation, and some potential applications of MDD in, such as, massive MIMO, mmWave, cell-free (CF) dense networks and high-mobility wireless communications, will be addressed. Furthermore, it explains how graph neural networks can be employed to implement resource allocation in dense MDD-CF networks, and demonstrate its scalability to optimize the CF networks of various size.:

Speakers:

Lie-Liang Yang

Lie-Liang Yang is the professor of Wireless Communications in the School of Electronics and Computer Science at the University of Southampton, UK. He received his MEng and PhD degrees in communications and electronics from Northern (Beijing) Jiaotong University, Beijing, China in 1991 and 1997, respectively, and his BEng degree in communications engineering from Shanghai TieDao University, Shanghai, China in 1988. He has research interest in wireless communications, wireless networks and signal processing for wireless communications, as well as molecular communications and nano-networks. On these research topics, he has graduated 30+ PhD students and currently supervises 8 PhD students, and has also supervised 140+ master projects. He has published 400+ research papers in journals and conference proceedings, authored/co-authored three books and also published several book chapters. The details about his research publications can be found at https://www.ecs.soton.ac.uk/people/llyang. He is a fellow of both the IEEE and the IET, and was a distinguished lecturer of the IEEE VTS. He served as an associate editor to various journals, and is currently a senior editor to the IEEE Access and a subject editor to the Electronics Letters. He also acted different roles for organization of conferences.

Bohan Li

Bohan Li received his PhD degree from the University of Southampton in 2022. Currently, he works as a research fellow at the University of Leicester, UK. In recent years, his research has been mainly focused on the multicarrier-division duplex based wireless communications . He also has research interest in various techniques for the future generations of wireless systems, including full duplex communications, smart wireless transceivers, mmWave massive MIMO, cell-free massive MIMO, deep reinforcement learning and graph neural networks for optimization of wireless systems.

TUT-25: EMF Exposure-aware Analysis and Optimization of Wireless Networks: A Multidisciplinary Approach

01 June (PM)

Abstract:

Optimizing cellular networks is essential for reasons as varied as ensuring a good signal quality, limiting the energy consumption or the level of public exposure to electromagnetic fields (EMF) or contrariwise guaranteeing that enough energy is harvested in an IoT context. Upcoming network generations will make use of novel technologies such as massive Multiple-Input Multiple-Output (mMIMO), redesigned deployments and higher frequency bands. This not only raises new questions about EMF exposure, but also opens new research directions and brings new challenges to network providers and regulators, whose objective is to maximize the coverage of a network while ensuring compliance with exposure standards. This tutorial provides multiple frameworks to evaluate the network performance in terms of joint EMF exposure and Signal-to-interference-and-noise ratio (SINR) distribution. Numerous network topologies are studied, as well as the integration of massive MIMO and mmWave aspects. Ray-tracing and stochastic geometry models are employed to perform this joint analysis. This tutorial then proposes methods going beyond traditional performance analysis. As an example, spatial reconstruction methods and EMF exposure forecasting are introduced based on experimental data. Techniques using artificial neural networks are discussed as well. Finally, optimization problems yielding insights on efficient network deployments are presented.

Speakers:

Quentin Gontier; Claude Oestges; Shanshan Wang; Charles Wiame

Quentin Gontier

Quentin Gontier was born in Brussels in 1997. He received the B.S. and M.S. degrees in physics engineering from the Université Libre de Bruxelles, Belgium, in 2020. Since 2020, he is a Ph.D. candidate in the Wireless Communications Group of the Université Libre de Bruxelles and in Brussels Environnement, Belgium. His research interests include stochastic geometry and ray-tracing modeling applied to exposure assessment and coverage analysis.

Claude Oestges

Claude Oestges received the Electrical Engineering degree and the PhD degree in Applied Science from the Université catholique de Louvain (UCLouvain, Louvain-la-Neuve, Belgium), in 1996 and 2000, respectively. From January to December 2001, he joined, as a post-doctoral scholar, the Smart Antennas Research Group (Information Systems Laboratory) of Stanford University (California, USA). Claude Oestges is currently Full Professor at UCLouvain. His research interests cover wireless and satellite communications, with a focus on the propagation channel and its impact on system performance. Claude Oestges is a Fellow of the IEEE. He previously served in the Board of Directors of the European Association on Antennas and Propagation (EurAAP), and as Associate Editor for the IEEE Transactions on Antennas and Propagation and on Vehicular Technology. He was the Chair of COST Action CA15104 "Inclusive Radio Communication Networks for 5G and Beyond" , known as IRACON. He is the author or co-author of four books and more than 200 papers in international journals and conference proceedings. He was the recipient of the IET Marconi Premium Award in 2001 and of the IEEE Vehicular Technology Society Neal Shepherd Award in 2004 and 2013.

Shanshan Wang

Shanshan WANG was born in Nanjing, China, in 1991. She received the B.Sc. degree in communications engineering from Soochow University, Suzhou, China, in 2013, the M.Sc. degree (Hons.) in wireless communication and signal processing from the University of Bristol, Bristol, U.K., in 2014, and the Ph.D. degree from Laboratory of Signals and Systems, Paris-Saclay University, Paris, France in 2019. From 2015 to 2018, she was with the French National Center for Scientific Research (CNRS), Paris, as an Early Stage Researcher of the European-Funded Project H2020 ETN-5Gwireless. Her research interests include stochastic geometry, EMF exposure, and machine learning for applications in wireless communications. She is currently a postdoctotal researcher in Telecom Paris, IP Paris, France. She was a recipient of the 2018 INISCOM Best Paper Award. She served as the guest editor of the MDPI Sensors in 2022.

Charles Wiame

Charles Wiame (Student member, IEEE) obtained the M.Sc. degree in electrical engineering from UCLouvain, Belgium, in 2017. He is currently teaching assistant and Ph.D student at UCLouvain, working under the supervision of Prof. L. Vandendorpe and Prof. C. Oestges. In 2022, he was a visitor at the Kungliga Tekniska högskolan, Stockholm, Sweden. His current research interests include the joint analysis of coverage and EMF exposure in wireless networks, user-centric cell-free systems and stochastic geometry.

TUT-26: Toward a New Vision of Space Communications: Design Philosophy and Technologies

01 June (PM)

Abstract:

Space communication technology has reached a turning point. Consolidated concepts concerning the role of satellites, dated since almost 80 years, are currently under discussion and redefinition. For this reason, many authors are now speaking about “New Space” or “Space 2.0”, announcing a revolution quite similar to that occurred to the Internet and the Web. In this tutorial, articulated into three sections, the future directions of Space communication technology will be highlighted, including: software-defined design of intelligent and sustainable Space network infrastructures, 3D networks, terabit backbones in the Space and new frontiers of quantum communications and digital twins for non-terrestrial applications.

Speakers:

Claudio Sacchi; Ernestina Cianca; Riccardo Bassoli

Claudio Sacchi

Claudio Sacchi was born in Genoa (Italy) in 1965. He received the “Laurea” degree in Electronic Engineering and the Ph.D. in Space Science and Engineering from the University of Genoa, Italy, in 1992 and 2003, respectively. From 1996 to 2002, he was a Research Cooperator with the Department of Biophysical and Electronic Engineering (DIBE), University of Genoa, and with the National Italian Consortium in Telecommunications (CNIT), managing project activities in the field of multimedia surveillance systems and satellite communications. In August 2002, he joined the Department of Information Engineering and Computer Science (DISI), University of Trento, Italy, as an Assistant Professor. He was promoted to Associate Professor in December 2020. He has authored and co-authored more than 140 papers published in international journals and conferences. He is a member of the IEEE ComSoc, IEEE BTS, IEEE VT, and IEEE AESS. . Since 2019, he has been coordinating and chairing the IEEE AESS technical panel: “Glue Technologies for Space Systems” which was awarded by AESS as “Outstanding Panel of the Year” in 2020 and 2021. Since January 1st, 2023, Claudio Sacchi has got a double affiliation with UNM as Research Professor. His main research interests are related to emerging satellite and aerospace communications and broadband mobile communications in 5G and 6G systems

Riccardo Bassoli is a Juniorprofessur (US Assistant Professor, UK Lecturer) at the Deutsche Telekom Chair of Communication Networks and head of the Quantum Communication Networks research group, at the Faculty of Electrical and Computer Engineering, at Technische Universität Dresden. He is member of the Cluster of Excellence "Centre for Tactile Internet with Human-in-the-loop (CeTI)", in Dresden. He is also member of the EU Quantum Internet Alliance (QIA) and of the EU flagships for 6G Hexa-X and Hexa-X II. He is principal investigator in the 6G-life research hub of Germany. He got his Ph.D. from 5G Innovation Centre at University of Surrey (UK), in 2016. He was also a Marie Curie ESR at the Instituto de Telecomunicações (Portugal) and visiting researcher at Airbus Defence and Space (France). Between 2016 and 2019, he was postdoctoral researcher at Università di Trento (Italy). He is IEEE and ComSoc member, and part of the Glue Technologies for Space Systems Technical Panel of IEEE AESS. He is co-founder and member of the association "SIGN - Scienziati Italiani in Germania Network".

TUT-27: Machine Learning Over-the-Air: Two Tales of Interference

01 June (PM)

Abstract:

Coming soon

Speakers:

Howard Yang; Tony Q. S. Quek

TUT-28: Channel Coding and Decoding for Beyond 5G Communications

01 June (PM)

Abstract:

Coming soon

Speakers:

Mahyar Shirvanimoghaddam; Chentao Yue; Yonghui Li

Mahyar Shirvanimoghaddam

Mahyar Shirvanimoghaddam (Senior Member, IEEE) received the B.Sc. degree (Hons.) from The University of Tehran, Iran, in 2008, the M.Sc. degree (Hons.) from the Sharif University of Technology, Iran, in 2010, and the Ph.D. degree from The University of Sydney, Australia, in 2015, all in electrical engineering. He is currently a Senior Lecturer with the Centre for IoT and Telecommunications, The University of Sydney. His research interests include coding and information theory, rateless coding, communication strategies for the Internet of Things, and information-theoretic approaches to machine learning. He is a fellow of the Higher Education Academy. He was selected as one of the Top 50 Young Scientists in the World by the World Economic Forum in 2018 for his contribution to the Fourth Industrial Revolution. He received the Best Paper Award for the 2017 IEEE PIMRC, the 2020 Australian Award for University Teaching, and USYD VC's excellence award for outstanding teaching and research. He has served as the Guest Editor for the Journal of Entropy, Transactions on Emerging Telecommunications Technologies, and IEEE Journal of Selected Areas in Information Theory.

Chentao Yue

Chentao Yue received the bachelor's degree in information engineering (Honour Program) from Southeast University, China, in July 2017, and the Ph.D. degree in electrical engineering from The University of Sydney, Australia, in May 2021. He is currently a postdoctoral research associate at the School of Electrical and Information Engineering, the University of Sydney. His research interests include error control coding, information theory, multiple access techniques, and the Internet of Things. He is the recipient of the Postgraduate Scholarship in Wireless Engineering at Centre of Excellence in Telecommunications, the University of Sydney.

TUT-29: Delay-Doppler Domain Communications and Sensing

01 June (PM)

Abstract:

Coming soon

Speakers:

Weijie Yuan; Zhiqiang Wei; Shuangyang Li

Weijie Yuan

Weijie Yuan received the B.E. degree from the Beijing Institute of Technology, China, in 2013, and the Ph.D. degree from the University of Technology Sydney, Australia, in 2019. From 2019 to 2021, he was a Research Associate with the University of New South Wales. He is currently an Assistant Professor with the Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China. Dr. Yuan currently serves as an Associate Editor for the IEEE Transactions on Green Communications and Networking, an Editor for the IEEE Communications Letters, an Associate Editor as well as an Award Committee Member for the EURASIP Journal on Advances in Signal Processing. He has led the guest editorial teams for three special issues in IEEE Communications Magazine, IEEE Transactions on Green Communications and Networking, and China Communications. He was an Organizer/the Chair of several workshops, special sessions, and tutorials on orthogonal time frequency space (OTFS) and integrated sensing and communication (ISAC) in flagship IEEE and ACM conferences, including IEEE ICC, IEEE/CIC ICCC, IEEE SPAWC, IEEE VTC, IEEE WCNC, IEEE ICASSP, and ACM MobiCom. He is the Founding Chair of the IEEE ComSoc Special Interest Group on OTFS (OTFS-SIG). He was listed in the World's Top 2\% Scientists by Stanford University for citation impact in 2022. He was a recipient of the Best Ph.D. Thesis Award from the Chinese Institute of Electronics, an Exemplary Reviewer Award from IEEE Transactions on Communications and IEEE Wireless Communications Letters, and a Best Editor Award from IEEE Communications Letters.

Zhiqiang Wei (Member, IEEE) received the B.E. degree in information engineering from Northwestern Polytechnical University (NPU), Xi'an, China, in 2012, and the Ph.D. degree in electrical engineering and telecommunications from the University of New South Wales (UNSW), Sydney, Australia, in 2019. From 2019 to 2021, he was a Postdoctoral Research Fellow with UNSW. From 2021-2022, he was a Humboldt Postdoctoral Research Fellow with the Institute for Digital Communications, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany. He is currently a Professor with the School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China. He received the Best Paper Awards at the IEEE International Conference on Communications (ICC), 2018. He is the founding co-chair (publications) of the IEEE ComSoc special interest groupon OTFS (OTFS-SIG). He has been serving as the TPC Co-Chair of the IEEE ICC 2021 Workshop on OTFS, the IEEE ICC 2022 Workshop on OTFS, and IEEE International Conference on Communications in China (ICCC) 2021 Workshop on OTFS. He was recognized as an Exemplary Reviewer of IEEE Transactions on Communications during 2017-2020 and IEEE Transactions on Wireless Communications in 2017 and 2018.

Shuangyang Li

Shuangyang Li (Member, IEEE) received the B.S., M.S., and Ph.D. degrees from Xidian University, China, in 2013, 2016, and 2021, respectively. He received his second Ph.D. degree from the University of New South Wales (UNSW), Australia, in 2022. He is now a research associate at the University of Western Australia (UWA). He was the organizer/chair for several workshops and tutorials on related topics of orthogonal time frequency space (OTFS) in IEEE flagship conferences, including IEEE ICC, IEEE WCNC, IEEE VTC, and IEEE ICCC. He was also the co-author of the IEEE ComSoc Best Readings on OTFS and Delay Doppler Signal Processing. He has regularly served as a reviewer for various IEEE journals, as well as a TPC member for IEEE flagship conferences. He was a recipient of the 2021 student travel grant of IEEE International Conference on Communications (ICC) and an exemplary reviewer for IEEE Communication Letters 2022. He is a recipient of the Marie Skłodowska-Curie Actions (MSCA) fellowship 2022. He is also a founding member and currently the secretary of the special interest group (SIG) on OTFS. His research interests include signal processing, channel coding, and their applications to communication systems, with a specific focus on waveform designs.

TUT-30: Semantic Wireless Communications: Joint Communication and Computation Perspective

01 June (PM)

Abstract:

Coming soon

Speakers:

Zhaohui Yang; Kaibin Huang; Mingzhe Chen; Yang Yang

TUT-31: Digital Twins for 6G Communications and Networking

01 June (PM)

Abstract:

Coming soon

Speakers:

Hamed Ahmadi; Berk Canberk; Trung Q. Duong

Trung Q. Duong

Trung Q. Duong is a Chair Professor in Telecommunications at Queen’s University Belfast (QUB), UK and a Research Chair of the Royal Academy of Engineering. His current research focuses on joint optimal design for communications and computing, digital twin networks, integrated satellite and terrestrial networks, quantum machine learning for dynamic radio resource allocation in wireless networks, real-time optimisation for unmanned aerial vehicles (UAV), semantic communications. He has established a strong record in these areas with 450+ publications (Google Scholar: 16,000+ citations, h-index of 68). He is the only UK-based researcher who is awarded both prestigious awards: i) the Royal Academy of Engineering Research Fellowship (2015–2020) and ii) Research Chair of Royal Academy of Engineering (2020-2025). He has served as an Editor for major technical journals including IEEE Trans. on Wireless Communications, IEEE Trans. on Communications, IEEE Trans. on Vehicular Technology, IEEE Wireless Communications Letters, IEEE Communications Letters. He is an IEEE Fellow and AAIA Fellow, and a recipient of the prestigious Newton Prize awarded in 2017 by the UK Government

TUT-32: Federated Analytics: A Bridge Between Data Science and Machine Learning

01 June (PM)

Abstract:

With the maturity of edge computing and the large amount of data generated by IoT devices, we have witnessed an increasing number of intelligent applications in wireless networks. The growing awareness of privacy further motivates the wide study and deployment of federated learning, a collaborative distributed model training framework for predictive tasks. However, a wide range of applications, more broadly relevant to data analytics and query in wireless networks, cannot be well supported by this framework. These applications usually require more complex and diverse aggregation methods, instead of the simple weight aggregations, and are broadly nourished by statistics, information theory, and signal processing, besides machine learning. This tutorial aims to present the recent advances in federated analytics at the intersection of data science, wireless communication, and security and privacy. In particular, it will present the definition, taxonomy, and architecture of the federated analytics techniques. It will also cover several practical and important data analytics tasks in wireless networks, including federated anomaly detection, federated frequent pattern analysis, federated distribution estimation and skewness analytics, and federated video analytics. Finally, the tutorial will present important challenges, open problems, and future directions at the intersection of FA and wireless networks.

Speakers:

Zhu Han; Dan Wang; Yifei Zhu

Yifei Zhu

Yifei Zhu is currently an Assistant Professor at the University of Michigan-Shanghai Jiao Tong University Joint Institute in Shanghai Jiao Tong University, China. He received his B.E. degree from Xi’an Jiaotong University, China, in 2012, his M.Phil. degree from The Hong Kong University of Science and Technology, China, in 2015, and his Ph.D. degree in Computer Science from Simon Fraser University, Canada, in 2020. His current research interests include edge computing, multimedia networking, and distributed machine learning systems, where he has published in ACM SIGCOMM, IEEE INFOCOM, ACM Multimedia, and many other venues.

TUT-33: Integrated Space-Aerial-Terrestrial Wireless Networks for Global Connectivity (ONLINE)

Date: TBA

Abstract:

Coming soon

Speakers:

Mustafa A Kishk; Mohamed-Slim Alouini

TUT-34: 6G Wireless Channel Measurements, Characteristics Analysis, and Modeling Methodologies

01 June (AM)

Abstract:

Coming soon

Speakers:

Cheng-Xiang Wang; Jie Huang; Haiming Wang; Harald Haas