Five tutorials will be organised on Friday 20 March 2020 as follows:

20 March 2020, 9:00-12:00

T1: Coded Caching: An Untapped Resource for 6G

Eleftherios Lampiris,  Technical University of Berlin, Germany; Petros Elia, EURECOM, France; and Marios Kountouris, EURECOM, France


Developments for the next generation of communication systems will require the simultaneous support of a breathtaking amount of devices with heterogeneous needs, ranging from high bitrates and extremely low latency to ultra reliability and ubiquitous connectivity. To date, 5G has experienced tremendous increase in all of the above metrics, but it is envisioned [1] that future demand will put more strain on networks. One resource that wireless systems have not, yet, exploited is the use of caching either at the end users or at the base stations. Enabling 6G with caching has the potential to improve user throughput by storing content closer at the end users and to improve latency through the storing of content at the base stations. Taking advantage of content at the end users has been studied from an information theory perspective in the work of Maddah-Ali and Niesen [2]. The main premise is that one can turn cheap storage at the end-user devices into bandwidth by transmitting cleverly designed multicast messages which satisfy many demands at the same time. Recent developments on Coded Caching have showed that combining multiple antennas with Coded Caching methods can provide a significant boost in the networks. In this tutorial we will focus on the synergy arising between caching enabled users and systems with multiple transmitters. As we will show, a joint consideration of the two resources can not only provide increased bit rates, but also resolve many of the known practical issues that arise, such as the CSI cost of multi-antenna systems and the subpacketization constraint of Coded Caching. The tutorial will take the audience from the fundamental results in Coded Caching, to the discussion of practical considerations, as well as recent advancements that, through the combination of caching with multiple transmitters, can meaningfully transform the delivery of content. As we will illustrate, Coded Caching is a technology that has adequately matured and by being applied to 6G networks can immensely ameliorate their performance. 


Eleftherios Lampiris received both the B.Sc. degree in Physics and the M.Sc. degree in Electronics and Radio-electrology from National Kapodistrian University of Athens, Greece and his PhD from Sorbonne University, France. He is currently employed as a Post-Doctoral researcher at the Technical University of Berlin, Germany. His current research is revolved around fundamental as well as practical issues of Coded Caching, such as advanced physical layer technics and cross-layer optimization.  

Petros Elia received the B.Sc. degree from the Illinois Institute of Technology, and the M.Sc. and Ph.D. degrees in electrical engineering from the University of Southern California (USC), Los Angeles, in 2001 and 2006 respectively. He is now a professor with the Department of Communication Systems at EURECOM in Sophia Antipolis, France. His latest research deals with the intersection of coded caching and feedback-aided communications in multiuser settings. He has also worked in the area of complexity-constrained communications, MIMO, cooperative and multiple access protocols and transceivers, complexity of communication, as well as with isolation and connectivity in dense 2networks, queueing theory and cross-layer design, coding theory, information theoretic limits in cooperative communications, and surveillance networks. He is a Fulbright scholar, the co-recipient of the NEWCOM++ distinguished achievement award 2008-2011 for a sequence of publications on the topic of complexity in wireless communications, and the recipient of the ERC Consolidator Grant 2017-2022 on cache-aided wireless communications. 

Marios Kountouris received the diploma degree in electrical and computer engineering from NTUA, Athens, Greece in 2002 and the M.S. and Ph.D. degrees in electrical engineering from Télécom ParisTech, France in 2004 and 2008, respectively. Since May 2019, he has been an Associate Professor and Chair PI on machine learning for 6G wireless systems at EURECOM, France. Prior to his current appointment, he has hold positions at Huawei Paris Research Center, CentraleSupélec, France, The University of Texas at Austin, USA, and Yonsei University, S. Korea. He currently serves as Associate Editor for the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and the IEEE Wireless Communication Letters. He received the 2016 IEEE ComSoc Communication Theory Technical Committee Early Achievement Award, the 2013 IEEE ComSoc Outstanding Young Researcher Award for the EMEA Region, the 2014 Best Paper Award for EURASIP Journal on Advances in Signal Processing, the 2012 IEEE SPS Signal Processing Magazine Award, the IEEE SPAWC 2013 Best Student Paper Award, and the Best Paper Award in Communication Theory Symposium at IEEE Globecom 2009. 

T2: Terahertz Communications for 6G Systems 

Josep Miquel Jornet, Northeastern University, USA; Chong Han, Shanghai Jiao Tong University, China


Terahertz (THz)-band (0.1-10 THz) communication is envisioned as a key wireless technology of the next decade. The THz band will help overcome the spectrum scarcity problems and capacity limitations of current wireless networks, by providing an unprecedentedly large bandwidth which can enable applications including Terabit-per-second backhaul systems, ultra-high-definition content streaming among mobile devices and wireless high-bandwidth secure communications. In addition, the very small wavelength at THz frequencies enables the development of miniature radios, which can be utilized for new networking paradigms such as wireless massive-core computing architectures, wireless nanosensor networks for biomedical applications and the Internet of Nano-Things. The objective of this course is to provide the audience with the necessary knowledge and tools to contribute to the development of wirless communication networks in the THz band, focusing on physical-layer solutions. THz technology has been identified by DARPA as “one of the four major research areas that could eventually have an impact on our society larger than that of the Internet itself”. Beyond traditional applications of wireless networks, the development of a new communication and networking technology to support systems with “billions of connected nanosystems” has been identified as “one of the four essential components of the next IT revolution” by the Semiconductor Research Consortium (SRC) and the US National Science Foundation. More recently, THz communications has been identified by IEEE COMSOC as one of the nine communication technology trends to follow. As 5G technology becomes commercial, Terahertz communication is where fundamental scientific and engineering breakthroughs will occur. Nonetheless, the THz band, which lies in between mm-waves and the far infrared, remains still one of the least explored regions in the EM spectrum. For many decades, the lack of compact high-power signal sources and high-sensitivity detectors able to work at room temperature has hampered the use of the THz band for any application beyond sensing. However, many recent advancements with different technologies is finally closing the so-called THz gap. THz-band communication brings many new opportunities to the wireless communication community. The THz band supports huge transmission bandwidths, which range from almost 10 THz for distances below one meter, to multiple transmission windows, each tens to hundreds of GHz wide, for distances in the order of a few tens of meters. Nevertheless, this very large bandwidth comes at the cost of a very high propagation loss, mainly because of molecular absorption, which also creates a unique distance dependence on the available bandwidth. All these introduce many challenges to practical THz communication systems and require the development of innovative solutions. Moreover, many of these might be helpful for broadband wireless communication systems below and above the THz band, i.e., mm-waves and optical wireless communications, respectively. Through this tutorial, the audience will learn the necessary knowledge to work in the cutting-edge research field of THz band communications. First, as a review, THz-band devices and THz-band channel models will be surveyed, which provide fundamentals and guidelines for THz communications. As the main focus of this 1tutorial, novel communication mechanisms tailored to the capabilities of THz devices and the peculiarities, challenges and opportunities introduced by the THz channel will be developed, including hybrid beamforming, ultra-broadband modulations, low-weight THz coding and error control, physical-layer synchronization, and physical-layer security. To conclude, existing experimental testbeds and platforms for THz communications and open problems will be presented. 


Josep M. Jornet is an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, in Boston, MA. He received the B.S. in Telecommunication Engineering and the M.Sc. in Information and Communication Technologies from the Universitat Politecnica de Catalunya, Barcelona, Spain, in 2008. He received the Ph.D. degree in Electrical and Computer Engineering from the Georgia Institute of Technology, Atlanta, GA, in 2013. From August 2013 and August 2019, he was an Assistant Professor with the Department of Electrical Engineering at the University at Buffalo, The State University of New York. His current research interests are in Terahertz-band communication net-works, Wireless Nano-bio-communication Networks and the Internet of Nano-Things. In these areas, he has co-authored more than 120 peer-reviewed scientific publications, 1 book, and has also been grant-ed 3 US patents. These works have been cited over 7,000 times (h-index of 38). Since July 2016, he is the Editor-in-Chief of Elsevier’s Nano Communication Networks Journal. He is a member of the IEEE and the ACM. He is serving as the lead PI on multiple grants from U.S. federal agencies including the National Science Foundation, the Air Force Office of Scientific Research and the Air Force Research Laboratory. He is a recipient of the National Science Foundation CAREER award and of several other awards from IEEE, ACM and UB. 

Chong Han is currently an Assistant Professor at Shanghai Jiao Tong University, Shanghai, China, since June 2016. He obtained the Master of Science and the Ph.D. degrees in Electrical and Computer Engineering from Georgia Institute of Technology, Atlanta, GA, USA, in 2012 and 2016, respectively. He received 2019 Distinguished TPC Member Award, IEEE International Conference on Computer Communications 2(INFOCOM) and 2018 Elsevier NanoComNet (Nano Communication Network Journal) Young Investigator Award, 2018 Shanghai Chenguang Funding Award, 2017 Shanghai Yangfan Funding Award. He is an editor of Nano Communication Networks (Elsevier) Journal and IEEE Access since 2016. He is a TPC co-chair for 1 st /2 nd /3 rd International Workshop on Terahertz Communications, in conjunction with IEEE ICC 2019, GLOBECOM 2019, and ICC 2020. His current research interests include Terahertz Communications, Electromagnetic Nanonetworks. He is a member of the IEEE. 

T3: Wireless 2.0: Wireless Networks Empowered by Reconfigurable Intelligent Surfaces

Marco Di Renzo, Paris-Saclay University – CNRS, CentraleSupelec, Univ Paris Sud, France


The tutorial is organized in the following main parts. 

A. Smart Radio Environments – An Emerging and Promising Wireless Future 

This part of the tutorial will introduce the emerging concept of smart radio environments, where the wireless networks are not designed to adapt themselves to the environment, but the environment becomes part of the optimization space. Use cases, applications scenarios, and business models will be discussed. 

B. Reconfigurable Intelligent Surfaces – The TechnologyEnabler 

This part of the tutorial will introduce fundamental background knowledge on RISs with focus on implementations that employ discrete elements and meta-materials. Equivalent electromagnetic and physics inspired models will be presented, and their applications to the optimization of wireless networks will be discussed.  

C. State-of-the-Art Overview and Open Research Issues 

This part of the tutorial will survey the most recent research activities on the modeling, analysis, and optimization of smart radio environments and RISs.  

D. From Theory to Practice – Testbed Design and Field Measurements 

This part of the tutorial will report current research activities on validating experimentally the performance of RISs in realistic operating environments.  

E. Achievable Performance and Scaling Laws 

This part of the tutorial will elaborate on the unique properties of RISs, and how their application in wireless networks is expected to yield scaling laws different from those currently encountered in wireless networks, e.g., the received power as a function of the distance.  

F. Comparison With Other Transmission Technologies 

This part of the tutorial will discuss the advantages and limitations of RISs as compared with other transmission technologies, such as massive MIMO, relaying, as well as will elaborate on how RISs can be used for improving the performance of wireless networks, e.g., for communication at high frequency bands. 


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. 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 2018 INISCOM, IEEE ICC 2019). He is a highly cited researcher according to Clarivate Analytics and Web of Science, and a Fellow of the IEEE. 

20 March 2020, 13:00-16:00

T4: Wireless Access Architecture: The Next 20+ Years

Halim Yanikomeroglu, Carleton University, Canada 


The wireless community has been occupied by the 5G related developments for the last many years. As 5G moves from the standardization phase to the deployment phase, a new brainstorming endeavour has started for the subsequent generation (6G) wireless networks. One reasonable starting point in this new discussion is to reflect on the possible shortcomings of the 5G networks to-be-deployed. 5G promises to provide connectivity for a broad range of use-cases in a variety of vertical industries; after all, this rich set of scenarios is indeed what distinguishes 5G from the previous four generations. Many of the envisioned 5G use-cases require challenging target values for one or more of the key QoS elements, such as high rate, high reliability, low latency, and high energy efficiency; we refer to the presence of such demanding links as the super-connectivity. However, the very fundamental principles of digital and wireless communications reveal that the provision of ubiquitous super-connectivity in the global scale – i.e., beyond indoors, dense downtown or campus-type areas – is infeasible with the legacy terrestrial network architecture as this would require prohibitively expensive gross over-provisioning. The problem will only exacerbate with even more demanding use-cases of 2030s such as UAVs requiring connectivity (ex: delivery drones), thus the 3D super-connectivity. The roots of today’s (4G & 5G) wireless access architecture (the terrestrial cellular network) go back to 1940s. The access architecture has evolved substantially over the decades. However, rapid developments in a number of domains outside telecommunications, including those in aerospace and satellite industries as well as in artificial intelligence, will likely result in a disruptive transformation in the wireless access architecture in the next 20+ years. In this tutorial, an ultra-agile, dynamic, distributed, and partly-autonomous vertical heterogeneous network (VHetNet) architecture with very low earth orbit satellites (VLEOs), high-altitude platform stations (HAPS), and drone BSs for almost-ubiquitous super-connectivity will be presented. In this disruptive setting, free-space optical (FSO) communications will play an important role in addition to the legacy radio communications. In the absence of a clear technology roadmap, the tutorial has, to a certain extent, an exploratory view point to stimulate further thinking and creativity on opportunities and challenges in wireless research and innovation. 


Dr. Halim Yanikomeroglu is a Full Professor in the Department of Systems and Computer Engineering at Carleton University, Ottawa, Canada. His group has made contributions to 4G and 5G wireless networks. He has had extensive 

collaboration with industry which resulted in 35 granted patents. During 2012-2016, he led one of the largest academic-industrial collaborative research projects on pre-standards 5G wireless, sponsored by the Ontario Government and the industry. In Summer 2019, he started a new project on the 6G access architecture. Dr. Yanikomeroglu supervised 22 PhD students (all completed with theses). He coauthored 400 peer-reviewed research papers including 142 in the IEEE journals [full list]; these publications have received 13,400 citations. He is a Fellow of IEEE, a Fellow of Engineering Institute of Canada (EIC), a Fellow of Canadian Academy of Engineering (CAE), and a Distinguished Speaker for both IEEE Communications Society and IEEE Vehicular Technology Society. He has been one of the most frequent tutorial presenters in the leading international IEEE conferences (30+ times). He served as the General Chair (VTC-2017 Toronto, VTC-2010 Ottawa) and Technical Program Chair (WCNC 2014 Istanbul, WCNC 2008 Las Vegas, WCNC 2004 Atlanta) of several major international IEEE conferences; he also served in the Editorial Boards of several IEEE periodicals. He is currently serving as the Chair of the Steering Committee of IEEE’s flagship Wireless Communications and Networking Conference (WCNC). 

T5: Wireless Channel Charting for 6G

Maxime Guillaud, Huawei Technologies, France; and Christoph Studer, Cornell University, USA


Channel charting is an emerging framework that enables relative localization of user equipments (UEs) from channel state information (CSI) only (see reference [1]). More concretely, channel charting associates CSI to UE spatial location by means of dimensionality reduction and manifold learning, thus enabling the infrastructure base-stations to perform a number of predictive tasks relevant to emerging wireless networks that depend on UE location. Prominent application examples are relative localization (e.g., to point-of-interests), UE grouping, cell handover, UE path prediction, predictive rate control, assisted beam-finding, etc. The distinctive characteristic of channel charting with respect to classical positioning techniques resides in its unsupervised nature, i.e., the fact that it relies only on measured CSI and no other information (e.g., from global navigation satellite systems or classical localization anchors) is required. In addition, by partially annotating CSI with true location information (e.g., acquired during a dedicated measurement campaign), channel charting can be used for traditional UE positioning tasks under complex channel conditions, such as indoor or dense urban scenarios. This tutorial will cover the theoretical and algorithmic foundations of channel charting, discuss its implementation in next-generation (beyond 5G) cellular systems, and showcase applications ranging from predictive radio resource management to relative positioning. The goal of this tutorial is to provide the audience with an exhaustive overview of the nascent research field of channel charting, which is at the intersection of machine learning, data mining, channel modeling, numerical optimization, and communication theory. To this end, this tutorial will introduce (i) a wide range of theoretical and algorithm-level concepts, and (ii) demonstrate its efficacy with real-world results with indoor and outdoor channel measurements. 


Dr. Maxime Guillaud is a researcher in Huawei Technologies’ Mathematical and Algorithmic Research Lab in Paris, where he heads the signal and information processing group. He has 20 years expertise in the domain of wireless communications, in both academic and industrial research environments. He received his Ph.D. in 2005 from EURECOM, France, and previously held positions at Vienna University of Technology, FTW Telecommunications Research Center Vienna, and Bell Labs. He is an expert in the physical layer of modern wireless communications systems, and has made contributions to channel modeling and reciprocity calibration, Massive MIMO, and more. He has published over 50 journal and conference papers, and holds 8 patents. He is a Senior Member of IEEE and an Associate Editor for the IEEE Transactions on Wireless Communications. 

Dr. Guillaud has previously presented a tutorial on Full-Duplex Communications in ICC, and has given courses and invited lectures on the 5G Physical Layer in multiple universities. 

Prof. Dr. Christoph Studer is an Associate Professor at Cornell University and Cornell Tech. He received his Ph.D. degree in Electrical Engineering from ETH Zurich in 2009. In 2005, he was a Visiting Researcher with the Smart Antennas Research Group at Stanford University. From 2006 to 2009, he was a Research Assistant in both the Integrated Systems Laboratory and the Communication Technology Laboratory at ETH Zurich. From 2009 to 2012, Prof. Studer was a Postdoctoral Researcher at CTL, ETH Zurich, and the Digital Signal Processing Group at Rice University. In 2013, he has held the position of Research Scientist at Rice University. From 2014 to 2019, Prof. Studer has been an Assistant Professor at Cornell University and an adjunct Assistant Professor at Rice University, TX. Since 2019, Prof. Studer has been an Associate Professor at Cornell University in Ithaca, NY, and at Cornell Tech in New York, NY. In June 2020, Prof. Studer will be relocating to ETH Zurich in Switzerland as an Associate Professor. His research interests are in the design and analysis of algorithms and hardware designs for future multi-antenna wireless communication systems. Prof. Studer received ETH Medals for his M.S. and Ph.D. theses in 2006 and 2009, respectively. He received a two-year Swiss National Science Foundation fellowship for Advanced Researchers in 2011 and a US National Science Foundation CAREER Award in 2017. Prof. Studer won a Michael Tien ’72 Excellence in Teaching Award from the College of Engineering, Cornell University, in 2016. He shared the Swisscom/ICTnet Innovations Award in both 2010 and 2013, and he received a number of best paper and best demonstration awards in the areas of communication systems and digital integrated circuit design. In 2019, he was the TechnicalArea Chair for the 53rd Asilomar Conference on Signals, Systems, and Computers, and a Technical Co-Chair for the IEEE International Workshop on Signal Processing Systems. Prof. Studer was an inventor of Channel Charting in 2018 [1] together with Prof. Olav Tirkkonen from Aalto University, Finland. 


Please direct all 6G Wireless Summit tutorial-related questions to the Tutorial Chair: Antti Tölli (antti.tolli@oulu.fi)



Final manuscript:
14 February 2020












Video recap of the 6G WIRELESS Summit 2019