Scoring the Terabit/s Goal: Broadband Connectivity in 6G
Wednesday 4 November 2020 at 5:00-6:30 PM (Helsinki, UTC/GMT +02:00, CET +01:00)
Join the webinar series highlighting the insights of the new 6G White Papers written by international Expert Groups!
As part of the 6G Research Visions Webinar Series, this webinar will address the how to get to Scoring the Terabit/s Goal: Broadband Connectivity in 6G.
The webinar is moderated by Prof. Nandana Rajatheva, who led the Expert Group that prepared the White Paper.
Expert Group representatives, presenting some of the group’s key discoveries, include Emil Bjönsorn: IRS, ultra massive MIMO and holographic radio, Stefano Buzzi: advantages of cell-free massive MIMO and reconfigurable intelligent surfaces with respect to traditional multicell massive MIMO deployments, Josep Jornet: Spectrum aspects from mmwave to THz, Tommy Svensson: Lower layer enablers for agile and efficient dense wireless networks along with IAB towards 6G, Qingqing Wu: Faster, Smarter, Greener: Intelligent Reflecting Surface Enabled 6G Wireless Network and Italo Atzeni: from 5G to 6G and enablers at the infrastructure level.
After the talks, a minimum of 30 minutes is reserved for discussion on the path towards broadband connectivity in 6G. A recorded video of the webinar will be openly available after the event.
Nandana Rajatheva is currently a Professor with the Centre for Wireless Communications (CWC),University of Oulu, Finland. He is a Senior Member, IEEE and received the B.Sc. (Hons.) degree in electronics and telecommunication engineering from the University of Moratuwa, Sri Lanka, in 1987,ranking first in the graduating class, and the M.Sc. and Ph.D. degrees from the University of Manitoba, Winnipeg, MB, Canada, in 1991 and 1995, respectively. He was a Canadian Commonwealth Scholar during the graduate studies in Manitoba. He held Professor/Associate Professor positions at the University of Moratuwa and the Asian Institute of Technology (AIT), Thailand, from 1995 to 2010.
He has co-authored more than 200 refereed papers published in journals and in conference proceedings. His research interests include waveforms, channel coding for URLLC, applications of beyond 5G, machine learning in PHY/MAC, and autonomous vehicles.
Emil Björnson is an Associate Professor at Linköping University, Sweden, and Visiting Full Professor at the KTH Royal Institute of Technology, Sweden. He has performed research on MIMO communications for 14 years, his papers have received more than 10000 citations, and he has filed more than twenty patent applications. He is the host of the podcast Wireless Future and has authored the textbooks Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013) and Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency (2017). He is dedicated to reproducible research and has made a large amount of simulation code publicly available. He has received the 2014 Outstanding Young Researcher Award from IEEE ComSoc EMEA, the 2015 Ingvar Carlsson Award, the 2016 Best Ph.D. Award from EURASIP, the 2018 IEEE Marconi Prize Paper Award in Wireless Communications, the 2019 EURASIP Early Career Award, the 2019 IEEE Communications Society Fred W. Ellersick Prize, and the 2019 IEEE Signal Processing Magazine Best Column Award. He also co-authored papers that received Best Paper Awards at the conferences, including WCSP 2009, the IEEE CAMSAP 2011, the IEEE SAM 2014, the IEEE WCNC 2014, the IEEE ICC 2015, and WCSP 2017.
Stefano Buzzi is Full Professor at the University of Cassino and Lazio Meridionale, Italy. He has more than 20 years of experience in academic research, teaching and mentoring. He is currently active in the field of 5G and beyond wireless networks, and is co-author of 60+ journal papers and 100+ conference papers. A frequent TPC member of several international conferences, he is currently serving as an Associate Editor for the IEEE Transactions on Wireless Communications and as Guest Editor for Frontiers in Communications and Networks, research topic (special issue) on Advancements in Communication-Radar coexistence. He is the principal investigator (coordinator) of the 2020-2024 EU-funded MSCA-ITN research project “META-WIRELESS” on the use of metasurfaces for wireless networks.
Josep M. Jornet is an Associate Professor in the Department of Electrical and Computer Engineering, the Director of the Ultrabroadband Nanonetworking Laboratory and a member of the Institute for the Wireless Internet of Things and the SMART Center 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. His current research interests are in Terahertz-band communication networks, Wireless Nano-bio-communication Networks and the Internet of Nano-Things. In these areas, he has co-authored more than 160 peer-reviewed scientific publications, 1 book, and has also been granted 3 US patents, which accumulate over 8,500 citations (h-index of 42). He is serving as the lead PI on multiple grants from U.S. federal agencies. He is a recipient of the National Science Foundation CAREER award and of several other awards from IEEE, ACM and UB.
Tommy Svensson is full Professor in Communication Systems at Chalmers University of Technology in Gothenburg, Sweden, leading Wireless Systems research on air interface and networking technologies for access, backhaul/ fronthaul in 5G and Beyond/ 6G mobile communications. He received a Ph.D. in Information theory from Chalmers in 2003, has worked at Ericsson AB with core networks, radio access networks, and microwave transmission products, and has been deeply involved in European research towards 4G and 5G system concepts. His research interests include design and analysis of physical layer algorithms, multiple access, resource allocation, cooperative MIMO systems, C-V2X, and satellite networks. He has co-authored 5 books, 89 journal papers, 127 conference papers and 53 public EU projects deliverables. He has been editor of IEEE TWC, WCL, and is founding editorial board member and editor of IEEE JSAC Series on Machine Learning in Communications and Networks.
Qingqing Wu (S’13-M’16) received the B.Eng. and the Ph.D. degrees in Electronic Engineering from South China University of Technology and Shanghai Jiao Tong University (SJTU) in 2012 and 2016, respectively. He is currently an assistant professor with the State key laboratory of Internet of Things for Smart City and the Department of Electrical and Computer Engineering at the University of Macau, China. He was a Research Fellow in the Department of Electrical and Computer Engineering at National University of Singapore. His current research interest includes intelligent reflecting surface (IRS), unmanned aerial vehicle (UAV) communications, and MIMO transceiver design. He has published over 70 IEEE journal and conference papers, including 15 ESI highly cited papers, 3 ESI hot papers, and 12 IEEE ComSoc Best Readings. His research has attracted about 5000 Google Scholar citations.
He was the recipient of the IEEE WCSP Best Paper Award in 2015, the Outstanding Ph.D. Thesis Funding in SJTU in 2016, the Outstanding Ph.D. Thesis Award of China Institute of Communications in 2017. He was the Exemplary Editor of IEEE Communications Letters in 2019 and the Exemplary Reviewer of several IEEE journals. He serves as an Associate Editor for IEEE Communications Letters, IEEE Open Journal of Communications Society, and IEEE Open Journal of Vehicular Technology. He is the Lead Guest Editor for IEEE Journal on Selected Areas in Communications on “UAV Communications in 5G and Beyond Networks”, and the Guest Editor for IEEE Open Journal on Vehicular Technology on “6G Intelligent Communications” and IEEE Open Journal of Communications Society on “Reconfigurable Intelligent Surface-Based Communications for 6G Wireless Networks”. He is the workshop co-chair for IEEE ICC 2019-2021 workshop on “Integrating UAVs into 5G and Beyond”, and the workshop co-chair for IEEE GLOBECOM 2020 workshop on “Reconfigurable Intelligent Surfaces for Wireless Communication for Beyond 5G”. He serves as the Workshops and Symposia Officer of Reconfigurable Intelligent Surfaces Emerging Technology Initiative and Research Blog Officer of Aerial Communications Emerging Technology Initiative.
Italo Atzeni received the MSc degree (Hons.) in telecommunications engineering from the University of Cagliari, Italy, in 2010, and the PhD degree (Hons.) in signal theory and communications from the Polytechnic University of Catalonia–BarcelonaTech, Spain, in 2014. Since 2019, he is with the Centre for Wireless Communications, University of Oulu, Finland, where he is a Senior Research Fellow and Adjunct Professor. From 2014 to 2017, he was a Researcher with the Mathematical and Algorithmic Sciences Laboratory, Paris Research Center, Huawei Technologies, France. From 2017 to 2018, he was a Research Associate with the Communication Systems Department, EURECOM, France. He has previously held a research appointment at The Hong Kong University of Science and Technology, Hong Kong, in 2013. His primary research interests are in communication and information theory, statistical signal processing, convex and distributed optimization theory, and their applications to decentralized decision making in heterogeneous wireless communication networks. He received the Best Paper Award in the Wireless Communications Symposium at IEEE ICC 2019. He was granted the MSCA-IF grant for the project “Device-Centric Low-Complexity High-Frequency Networks” (DELIGHT) in 2020.
There will be ultra massive MIMO realized with fully digital arrays and holographic radio to create a spatially continuous electromagnetic aperture to enable ultra-high density, and pixelated ultra-high resolution spatial multiplexing.
We expect user-centric and scalable cell-free networking to enable the densification of network infrastructure with access points (APs) in 6G.
We see that THz communications will provide high capacity point to point links complementing the wide area coverage at lower frequencies.
We also believe that intelligent reflecting surfaces (IRS) will be integrated to wireless systems to create a smart, programmable, and controllable wireless propagation environment, which brings new degrees of freedom to the optimization of wireless networks, in addition to the traditional transceiver design.