Tutorial 1 : Wireless Networks Empowered by Reconfigurable Intelligent Surfaces
|06 Sept. 2021, 17:00 - 20:00|
|Alessio Zappone and Marco Di Renzo|
Future wireless networks will be as pervasive as the air we breathe, not only connecting us but embracing us through a web of systems that support personal and societal well-being. That is, the ubiquity, speed and low latency of such networks will allow currently disparate devices and services to become a distributed intelligent communications, sensing, and computing platform.
Small cells, massive MIMO, millimeter-wave communications are three fundamental technologies that will spearhead the emergence of 5G wireless networks - Their advantages are undeniable. The question is, however, whether these technologies will be sufficient to meet the requirements of future wireless networks that integrate communications, sensing, and computing in a single platform.
Wireless networks, in addition, are rapidly evolving towards a software-defined design paradigm, where every part of the network can be configured and controlled via software. In this optimization process, however, the wireless environment itself - the medium or channel - is generally assumed uncontrollable and often an impediment to be reckoned with. For example, signal attenuation limits the network connectivity, multi-path propagation results in fading phenomena, reflections and refractions from objects are a source of uncontrollable interference.
Recently, a new concept called reconfigurable intelligent surfaces (RISs) has emerged wherein every environmental object is coated with man-made intelligent surfaces of configurable electromagnetic materials. These materials would contain integrated electronic circuits and software that enable control of the wireless medium. Thus, RISs enable telecommunication operators to sculpt the very medium that comprises the network. With the aid of RISs, wireless networks will not be designed anymore to adapt themselves to the environment, but the environment will become part of the optimization space. As such, RISs have the potential to fundamentally change how wireless networks are designed and usher in that hoped-for wireless future. But, RISs are not currently well-understood.
This tutorial will cover the emerging wireless vision, the enabling technologies, the most recent theoretical and experimental advances, and the most promising applications envisioned for RISs in wireless networks.
Alessio Zappone obtained his Ph.D. degree in electrical engineering in 2011 from the University of Cassino and Southern Lazio, Cassino, Italy. His Ph.D. studies were focused on distributed algorithms for energy-efficient resource allocation in wireless networks. After obtaining his Ph.D. Alessio has been with the Technische Universität Dresden, Germany, managing the project CEMRIN on energy-efficient resource allocation in wireless networks, funded by the German Research Foundation. From 2017 to 2019 he has been the recipient of the H2020 Individual Marie Curie fellowship for experienced researchers BESMART, carried out in the LANEAS group of CentraleSupelec, Paris, France. He is now a tenured professor at the university of Cassino and Southern Lazio, Italy. He was appointed exemplary reviewer for the IEEE T RANSACTIONS ON C OMMUNICATIONS and IEEE T RANSACTIONS ON W IRELESS C OMMUNICATIONS in 2017. Alessio is an IEEE Senior Member, serves as senior area editor for the IEEE S IGNAL P ROCESSING L ETTERS and as guest editor for the IEEE J OURNAL ON S ELECTED A REASON C OMMUNICATIONS (Special Issues on Energy-Efficient Techniques for 5G Wireless Communication Systems and on Wireless Networks Empowered by RIS).
Marco Di Renzo was born in L'Aquila, Italy, in 1978. He received the Laurea (cum laude) and Ph.D. degrees in electrical engineering from the University of L'Aquila, Italy, in 2003 and 2007, respectively, and the Habilitation a Diriger des Recherches (Doctor of Science) degree from University Paris-Sud, France, in 2013. Since 2010, he has been with the French National Center for Scientific Research (CNRS), where he is a CNRS Research Director (CNRS Professor) in the Laboratory of Signals and Systems (L2S) of Paris-Saclay University - CNRS, CentraleSupelec, Univ Paris Sud, Paris, France.
He serves as the Editor-in-Chief of IEEE Communications Letters, and as an Editor of IEEE Transactions on Communications, and IEEE Transactions on Wireless Communications. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society, and a Senior Member of the IEEE. He is a recipient of several awards, including the 2013 IEEE-COMSOC Best Young Researcher Award for Europe, Middle East and Africa, the 2013 NoE-NEWCOM# Best Paper Award, the 2014-2015 Royal Academy of Engineering Distinguished Visiting Fellowship, the 2015 IEEE Jack
Neubauer Memorial Best System Paper Award, the 2015-2018 CNRS Award for Excellence in Research and Ph.D. Supervision, the 2016 MSCA Global Fellowship (declined), the 2017 SEE-IEEE Alain Glavieux Award, the 2018 IEEE-COMSOC Young Professional in Academia Award, and 8 Best Paper Awards at IEEE conferences (2012 and 2014 IEEE CAMAD, 2013 IEEE VTC-Fall, 2014 IEEE ATC, 2015 IEEE ComManTel, 2017 IEEE SigTelCom, EAI 2018INISCOM, IEEE ICC 2019). He is a highly cited researcher according to Clarivate Analytics (2019).
Tutorial 2 : Privacy, Storage, and Security with Physical Unclonable Functions (PUFs)
|07 Sept. 2021, 17:00 - 20:00|
|Onur Günlü and Rafael F. Schaefer|
This tutorial addresses security and privacy problems for digital communication devices including Internet-of-Things (IoT), Internet-of-Vehicles (IoV), and 5G/6G devices. A physical unclonable function (PUF) is a promising universal solution for local security and privacy. Low-complexity signal processing algorithms, such as the transform-coding algorithm, are illustrated to make the information-theoretic analysis tractable and to motivate a noisy (remote) PUF source model. The optimal trade-offs between the secret-key, privacy-leakage, and storage rates for multiple measurements of hidden PUFs are characterized to illustrate the diversity and multiplexing gains. The optimal and low-complexity code constructions for secret-key agreement with PUFs are discussed, including tail-biting convolutional codes, polar codes, and polar subcodes. The gains from cost-constrained controllable PUF measurements are briefly illustrated to motivate various extensions, including post-Shannon communication with PUFs.
Onur Günlü (S'10 - M'18) received the B.Sc. degree (with high distinction) in Electrical and Electronics Engineering from Bilkent University, Turkey in 2011; M.Sc. (with high distinction) and Dr.-Ing. (Ph.D. equivalent) degrees in Communications Engineering both from the Technical University of Munich (TUM), Germany in October 2013 and November 2018, respectively. He was a Working Student in the Communication Systems division of Intel Mobile Communications (IMC), now Apple Inc., in Munich, Germany during November 2012 - March 2013. He worked as a Research and Teaching Assistant at TUM between February 2014 - May 2019. He was a Visiting Researcher at the Information and Communication Theory (ICT) Lab of TU Eindhoven, The Netherlands during February 2018 - March 2018 funded by a European Union (EU) project. He was a Research Associate and Dozent at TU Berlin, Germany between June 2019 - September 2020, and has been a Research Group Leader and Dozent at TU Berlin since October 2020. He has been a Brain City Berlin Ambassador since June 2020. His research interests include information theoretic privacy and security, coding theory, statistical signal processing for biometrics and physical unclonable functions (PUFs), federated learning (FL) with differential privacy (DP) and information privacy guarantees, and doubly-exponential secure identification via channels. Among his publications is the recent book Key Agreement with Physical Unclonable Functions and Biometric Identifiers (Dr. Hut Verlag, 2019). He is currently an Associate Editor of the EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING and MDPI ENTROPY Journal, a Guest Editor of the IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY, and a Reviewer Board Member of the MDPI COMPUTER and INFORMATION Journals.
Rafael F. Schaefer received the Dipl.-Ing. degree in electrical engineering and computer science from the Technische Universität Berlin, Germany, in 2007, and the Dr.-Ing. degree in electrical engineering from the Technische Universität München, Germany, in 2012. From 2013 to 2015, he was a Post-Doctoral Research Fellow with Princeton University. From 2015 to 2020, he was an Assistant Professor with the Technische Universität Berlin. Since 2021, he has been a Full Professor with Universität Siegen. Among his publications is the recent book Information Theoretic Security and Privacy of Information Systems (Cambridge University Press, 2017). He was a recipient of the VDE Johann-Philipp-Reis Prize in 2013. He received the best paper award of the German Information Technology Society (ITG-Preis) in 2016. He was one of the exemplary reviewers of the IEEE Communication Letters in 2013. He is currently an Associate Editor of the IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY and of the IEEE TRANSACTIONS ON COMMUNICATIONS. He is a Member of the IEEE Information Forensics and Security Technical Committee.
Tutorial 3 : Communications and Networking in Droplet-based Microfluidics
|07 Sept. 2021, 09:00 - 12:00|
|Werner Haselmayr, Andrea Zanella, and Giacomo Morabito|
This tutorial introduces the emerging field of communications and networking in droplet-based microfluidic systems, where tiny volumes of fluids, so-called droplets, are used for communication and/or addressing purposes in microfluidic chips. With this research, an important step towards the next generation of Lab-on-Chip devices is made. The aim of this tutorial is to lower the entry barrier and to attract communications researchers to enter this new exciting field. The tutorial starts with an accessible introduction of the fundamentals of droplet-based microfluidics. Then, we describe various communication aspects, including information encoding and noise models. We present microfluidic switches as the key building block for microfluidic networks and discuss different network topologies. Moreover, we present two promising healthcare applications for microfluidic networks and show the latest experimental results. For example, the world's first text transmission on a microfluidic chip using droplets. The tutorial concludes with a discussion of the most important open problems in this new field and we show the opportunities for communications researchers to contribute to this area. This tutorial is intended for young and experienced researchers, which are interested in an emerging multidisciplinary research area and want to take the opportunity to look beyond classical communication systems. The topics covered in this tutorial are presented in an accessible way, such that the attendee could immediately start a new project on this topic. No prior knowledge of biology, chemistry or biophysics is required, but the audience should be familiar with basic concepts in communication theory, electrical engineering, and networking.
Werner Haselmayr (S'08-M'13) is an Assistant Professor at the Institute for Communications Engineering and RF Systems, Johannes Kepler University (JKU) Linz, Austria. He received the Ph.D. degree in mechatronics from the same university in 2013. His research interests include the design and analysis of synthetic molecular communication systems and communications and networking in droplet-based microfluidic systems. He is one of the heads of a multidisciplinary group that aims to model, design, and analyze droplet-based microfluidic systems as well as to develop simulation tools and perform physical experiments for such systems. He has given several invited talks and tutorials on various aspects of droplet-based communications and networking. He has authored 2 book chapters and more than 40 paper, appeared in top-level international peer-reviewed journals and conference proceedings. Moreover, he co-organized the 4th Workshop on Molecular Communications 2019, which was held at JKU Linz. Currently, he serves as Associate Editor for the IEEE Transactions on Molecular, Biological, and Multi-Scale Communications.
Andrea Zanella is Full Professor at the Department of Information Engineering (DEI), University of Padova (Italy). He received the Laurea degree in Computer Engineering in 1998 from the same University. In 2000, he was visiting scholar at the Department of Computer Science of the University of California, Los Angeles (UCLA). In 2001, he got a PhD degree in Electronic and Telecommunications Engineering from the University of Padova. Andrea Zanella is one of the coordinators of the SIGnals and NETworking (SIGNET) research lab. His long-established research activities are in the fields of protocol design, optimization, and performance evaluation of wired and wireless networks. He is Technical Area Editor of the IEEE Internet of Things Journal, and Associate Editor of the IEEE Transactions on Cognitive Communications and Networking, IEEE Communications Surveys and Tutorials, and the Digital Communications and Networks (DCN).
Giacomo Morabito received the laurea degree in Electrical Engineering and the PhD in Electrical, Computer and Telecommunications Engineering from the Istituto di Informatica e Telecomunicazioni, University of Catania , Catania (Italy), in 1996 and 2000, respectively. From November 1999 to April 2001, he was with the Broadband and Wireless Networking Laboratory of the Georgia Institute of Technology as a Research Engineer. Since April 2001 he is with the Dipartimento di Ingegneria Elettrica Elettronica e Informatica of the University of Catania where he is currently full professor of Telecommunications. Giacomo Morabito has been founder and steering committee member of the ACM ICN conference, the general chair of ACM Nanocom 2016 and IFIP Med-Hoc-Net 2006, technical program chair of Med-Hoc-Net 2004, TIWDC 2009, ACM SIGCOMM-ICN 2011 and ICOIN 2018 and tutorial chair of IEEE EWSN 2005. He has a long experience in delivering tutorials at conferences and workshops. His research interests include Internet of Things, microfluidic and molecular networks.
Tutorial 4 : Rate-Splitting Multiple Access for 6G
|08 Sept. 2021, 17:00 - 20:00|
|Bruno Clerckx, Yijie Mao, Onur Dizdar|
This tutorial argues that to efficiently cope with the high throughput, reliability, heterogeneity of Quality-of-Service (QoS), and massive connectivity requirements of future multi-antenna wireless networks, multiple access and multiuser communication system design need to depart from the two extreme interference management strategies, namely fully treat interference as noise (as commonly used in 5G, MU-MIMO, CoMP, Massive MIMO, millimetre wave MIMO) and fully decode interference (as in NOMA). In this tutorial, we depart from those two extremes and introduce the audience to a general and powerful multiple access framework called Rate-Splitting Multiple Access (RSMA) for MIMO networks. RSMA relies on multi-antenna Rate-Splitting (RS) at the transmitter and successive interference cancellation (SIC) at the receivers. RSMA relies on the split of messages and the non-orthogonal transmission of common messages decoded by multiple users, and private messages decoded by their corresponding users. This enables RSMA to partially decode interference and partially treat the remaining interference as noise, and therefore softly bridge and reconcile the two extreme strategies of fully decode interference and treat interference as noise. As a result, RSMA provides a unified and flexible framework for the design and optimization of non-orthogonal transmission, multiple access, and interference management strategies. This tutorial is dedicated to the theory, design, optimization and applications of RSMA and demonstrates the significant benefits in terms of spectral/energy efficiencies, reliability and robustness to Channel State Information imperfections over conventional strategies used in 5G (multi-user MIMO, massive MIMO, CoMP, mmwave MIMO) and NOMA, in a wide range of deployments, network loads (underloaded, overloaded), services (unicast, multicast) and systems (terrestrial and satellite). The tutorial will give the audience a comprehensive introduction of the state-ofthe-art development in rate splitting theory and applications in the wireless communication and signal processing society.
Bruno Clerckx is a (Full) Professor, the Head of the Wireless Communications and Signal Processing Lab, and the Deputy Head of the Communications and Signal Processing Group, within the Electrical and Electronic Engineering Department, Imperial College London, London, U.K. He received the M.S. and Ph.D. degrees in Electrical Engineering from the Université Catholique de Louvain, Louvain-la-Neuve, Belgium, in 2000 and 2005, respectively. From 2006 to 2011, he was with Samsung Electronics, Suwon, South Korea, where he actively contributed to 4G (3GPP LTE/LTE-A and IEEE 802.16m) and acted as the Rapporteur for the 3GPP Coordinated Multi-Point (CoMP) Study Item. Since 2011, he has been with Imperial College London, first as a Lecturer from 2011 to 2015, Senior Lecturer from 2015 to 2017, Reader from 2017 to 2020, and now as a Full Professor. From 2014 to 2016, he also was an Associate Professor with Korea University, Seoul, South Korea. He also held various long or short-term visiting research appointments at Stanford University, EURECOM, National University of Singapore, The University of Hong Kong, Princeton University, The University of Edinburgh, The University of New South Wales, and Tsinghua University. He has authored two books on "MIMO Wireless Communications" and "MIMO Wireless Networks", 200 peer-reviewed international research papers, and 150 standards contributions, and is the inventor of 80 issued or pending patents among which 15 have been adopted in the specifications of 4G standards and are used by billions of devices worldwide. His research area is communication theory and signal processing for wireless networks. He has been a TPC member, a symposium chair, or a TPC chair of many symposia on communication theory, signal processing for communication and wireless communication for several leading international IEEE conferences. He was an Elected Member of the IEEE Signal Processing Society SPCOM Technical Committee. He served as an Editor for the IEEE TRANSACTIONS ON COMMUNICATIONS, the IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, and the IEEE TRANSACTIONS ON SIGNAL PROCESSING. He has also been a (lead) guest editor for special issues of the EURASIP Journal on Wireless Communications and Networking, IEEE ACCESS, the IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, and the PROCEEDINGS OF THE IEEE. He was an Editor for the 3GPP LTE-Advanced Standard Technical Report on CoMP. He is an IEEE Communications Society Distinguished Lecturer 2021-2022.
Yijie Mao received the B.Eng. degree from Beijing University of Posts and Telecommunications, and the B.Eng. (Hons.) degree from 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 from 2018 to 2019. Her research interests include Multiple Input Multiple Output (MIMO) communication networks, rate-splitting and non-orthogonal multiple access for 5G and beyond.
Onur Dizdar received the B.Sc. and M.Sc. degrees in Electrical and Electronics Engineering from Middle East Technical University, Ankara, Turkey, in 2008 and 2011. He received his Ph.D. in Electrical and Electronics Engineering from Bilkent University, Ankara, Turkey, in 2017. He also worked as a communications system design engineer in ASELSAN, Turkey from 2008 to 2019. He is currently a postdoctoral research associate in the Communications and Signal Processing Group at Imperial College London. His research interests include wireless communications, error-correcting codes and decoding algorithms, rate-splitting and non-orthogonal multiple access and signal processing.
Tutorial 5 : Grant-Free Access for Massive Machine Type Communications and the Internet of Things
|07 Sept. 2021, 13:00 - 16:00|
|Federico Clazzer and Andrea Munari|
Major changes have to be applied to medium sharing policies of modern wireless systems to account for the sporadic and uncoordinated nature of the arising machine-to-machine (M2M) and Internet of Things (IoT) paradigm. Classical scheduling-based approaches, although beneficial in avoiding multi-access interference, are particularly impacted by the presence of overhead required to indicate the resources granted to the users. On the other hand, grant-free medium access policies for delivering small data packets have been shown to be undoubtedly flexible in accommodating the sporadic transmission of very large population of terminals in a resource- and energy-efficient way. The goal of the tutorial is to present and thoughtfully review the most recent advances in grant-free medium access policies for massive machine type communications. In particular, after a brief introduction of the most relevant use cases, the tutorial will cover some of the medium access policies currently adopted in license-free and licensed systems, e.g. LoRaWAN, SigFox and NB-IoT. We will highlight the key features and evaluate the advantages and disadvantages. The core of the tutorial will then be dedicated to the presentation of grant-free modern random access solutions. Two main classes are identified, i.e. graph-based random access and compressive sensing-based random access. While to the first belong also more mature solutions already adopted in communication standards (e.g., DVB-RCS2), the second collects the most recent proposals in the field. We then conclude by touching on the use of receiver diversity for grant-free access, having in mind the relevant use cases of heterogeneous networks and satellite mega-constellations.
Federico Clazzer received the M.S. and the Ph.D. degrees in electrical and telecommunications engineering from the University of Genova (Italy) in 2012 and 2017, respectively. Since 2012 he is with the Institute of Communications and Navigation at the German Aerospace Center (DLR), working on medium access protocols for satellite networks, with particular emphasis to the machine-to-machine and Internet of Things scenarios. In 2014, 2015 and 2016 he visited the Chinese University of Hong Kong and in particular the Institute of Network Coding, working on physical layer network coding and medium access protocols. In 2017 he visited the University of Newcastle and the University of Sydney to work on the design of error correcting codes for asynchronous random access protocols. His main research interests include satellite communications, random access techniques, signal processing for the multiple access channel and game theory. He served on the Technical Program Committee at several IEEE International Conferences and has been appointed as 2016 Exemplary Reviewer for IEEE TRANSACTIONS ON COMMUNICATIONS and 2019 Exemplary Reviewer for IEEE WIRELESS COMMUNICATIONS LETTERS. He served on the Organizing Committee (as co-chair) of the Workshop on Small Data Networks at IEEE VTC Fall 2019.
Andrea Munari received the Laurea degree (M.S. equivalent) summa cum laude and the Ph.D. in Telecommunications Engineering from the University of Padova, Italy, in 2006 and 2010, respectively. In 2007 he joined IBM Research in Zurich, Switzerland, working on the design, analysis and implementation of energy efficient routing protocols for wireless sensor networks. In 2010 he was a research fellow at the University of Padova, and in 2011 he joined the Corp. R&D division of Qualcomm Inc. in San Diego, California, for a post-doctoral internship focused on network coding techniques for LTE cellular scenarios. Currently, he is with the Institute of Communications and Navigation of the German Aerospace Center (DLR). His main research interests include design and modelling of medium access techniques, satellite and in-band full-duplex communications as well as radar networks. From 2014 to 2018 he held a senior researcher and lecturer position at the Institute of Networked Systems of RTWH Aachen University. He served on the Technical Program Committee at several IEEE International Conferences and on the Organizing Committee (as co-chair) of the IEEE ICC'14, ICC'15, and ICC'16 Workshop on Massive Uncoordinated Access Protocols, of the special session on Small Data Networks at IEEE PIMRC 2018, and as Co-Chair of the IEEE VTC-Fall 2019 Workshop on Small Data Networks. He is a Senior Member of IEEE and Topic Editor for the MDPI Sensors journal.