W17: 1st IEEE Workshop on Electromagnetic Information Theory towards 5G-Advanced (5.5G EIT)
Co-chair: Marco Di Renzo, CNRS & Paris-Saclay University, France
Co-chair: Linglong Dai, Tsinghua University, China
Co-chair: Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Co-chair: Tengjiao Wang, Huawei Technologies, China
Abstract: In order to meet the immensely higher data rate, reliability, and traffic demands in the future 5G-Advanced communications, novel communication frameworks are rapidly emerging to fully utilize the electromagnetic waves, including holographic MIMO, extremely large antenna arrays, reconfigurable intelligent surfaces, etc. The ultimate limitation of the channel capacity and the ways to achieve this capacity are two fundamental questions in the system design. However, current design and performance analysis methods are usually based on the scalar-quantity, far-field, planar-wavefront, monochromatic and other nonphysically-consistent assumptions, which may cause mismatch between the system design and the realistic propagation environment.
To solve this problem, the emerging electromagnetic information theory (EIT) is proposed and has attracted increasing interests from both academia and industry. By integrating the statistical information theory with the deterministic electromagnetic theory, it is able to build a more physically consistent communication model and establish more fundamental limitations on the communication systems. It is expected that EIT will bring brand new theoretical analysis and system design paradigms to the future wireless communications.
While research into EIT based theoretical analysis, signal processing, channel modeling, antenna design, and standardization for the future wireless communications are still in the early stage, it is essential to establish a clear vision and provide guidance for the worldwide academic researchers and industrial partners. Thus, we believe this workshop will bring a good opportunity to attendees from both academia and industry to present novel ideas on EIT and to exchange views on 5G-Advanced openly.
This workshop calls for contributions on the following topics of interest, including but not limited to:
- EIT based Theoretical Analysis
- Channel capacity analysis
- Degree of freedom of the time, frequency, and spatial domain
- Characteristic mode analysis
- Performance evaluation
- EIT based Channel Modeling
- Physics consistent channel modeling
- Computational electromagnetics based channel modeling
- Circuit theory based channel modeling
- Reactive near field, radiating near field and far field channel modeling
- EIT based Signal Processing
- Beamforming for both near and far field
- Channel estimation for both near and far field
- Interference cancelation
- Joint system optimization
- EIT based Antenna Design
- Holographic MIMO, continuous-aperture MIMO
- Extremely large antenna arrays, large intelligent surfaces
- Reconfigurable antennas, reconfigurable intelligent surfaces
- Electromagnetic metasurfaces
Technical Program Committee:
Jiyong Pang, Huawei Technologies, China
Wei E. I. Sha, Zhejiang University, China
Pei Xiao, University of Surrey, UK
Marco Donald Migliore, University of Cassino and Southern Lazio, Italy
Zhimeng Zhong, Huawei Technologies, China
Anxue Zhang, Xi’an Jiaotong University, China
Hongjing Xu, Huawei Technologies, China
Shigang Zhou, Northwestern Polytechnical University, China
Fenghan Lin, ShanghaiTech University, China
Marco Di Renzo, CNRS & Paris-Saclay University, France
Marco Di Renzo
Bio: Marco Di Renzo (Fellow, IEEE) 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 à Diriger des Recherches (Doctor of Science) degree from University Paris-Sud (now Paris-Saclay University), 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) with the Laboratory of Signals and Systems (L2S) of Paris-Saclay University – CNRS and CentraleSupelec, Paris, France. In Paris-Saclay University, he serves as the Coordinator of the Communications and Networks Research Area of the Laboratory of Excellence DigiCosme, and as a Member of the Admission and Evaluation Committee of the Ph.D. School on Information and Communication Technologies. He is the Editor-in-Chief of IEEE Communications Letters and a Distinguished Speaker of the IEEE Vehicular Technology Society. In 2017-2020, he was a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society. He has received several research distinctions, which include the SEE-IEEE Alain Glavieux Award, the IEEE Jack Neubauer Memorial Best Systems Paper Award, the Royal Academy of Engineering Distinguished Visiting Fellowship, the Nokia Foundation Visiting Professorship, the Fulbright Fellowship, and the 2021 EURASIP Journal on Wireless Communications and Networking Best Paper Award. He is a Fellow of the UK Institution of Engineering and Technology (IET), an Ordinary Member of the European Academy of Sciences and Arts (EASA), and an Ordinary Member of the Academia Europaea (AE). Also, he is a Highly Cited Researcher (2019).
Bio: Linglong Dai (Fellow, IEEE) received the B.S. degree from Zhejiang University in 2003, the M.S. degree (with the highest honor) from the China Academy of Telecommunications Technology (CATT) in 2006, and the Ph.D. degree (with the highest honor) from Tsinghua University, Beijing, China, in 2011. From 2011 to 2013, he was a Postdoctora Research Fellow with the Department of Electronic Engineering, Tsinghua University, where he has been an Assistant Professor since July 2013 and then an Associate Professor since June 2016. His current research interests include 5G/6G wireless communication technologies (massive MIMO, millimeter-wave/Terahertz communications, non orthogonal multiple access, etc.) and machine learning for future wireless communications.
He has published over 60 IEEE journal papers and over 40 IEEE conference papers. He also holds 16 granted patents. He coauthored the book “mmWave Massive MIMO: A Paradigm for 5G” (Academic Press, Elsevier, 2016). Dr. Dai has received 5 IEEE conference Best Paper Awards. He has also received the Tsinghua University Outstanding Ph.D. Graduate Award in 2011, the Beijing Excellent Doctoral Dissertation Award in 2012, the National Excellent Doctoral Dissertation Nomination Award in 2013, the URSI Young Scientist Award in 2014, the IEEE Transactions on Broadcasting Best Paper Award in 2015, the Second Prize of Science and Technology Award of China Institute of Communications in 2016, the Electronics Letters Best Paper Award in 2016, the IEEE Communications Letters Exemplary Editor Award in 2017, the National Natural Science Foundation of China for Outstanding Young Scholars in 2017, the IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, the 7th IEEE ComSoc Asia-Pacific Outstanding Paper Award in 2018, the China Communications Best Paper Award in 2019, the IEEE Access Best Multimedia Award in 2020, the China Communications Best Editor Award in 2020, and the IEEE ComSoc Leonard G. Abraham Prize in 2020. He was listed as a Highly Cited Researcher by Clarivate in 2020 and 2021. He was elevated as an IEEE Fellow in 2021.
He has received the First Prize of the 11th Beijing Municipal Young College Teachers’ Basic Teaching Skills Competition. The first Ph.D. student under his supervision has received the 2018 Tsinghua University Special Award (the highest award for Tsinghua students), the second Ph.D. student has received the 2019 Paul Baran Young Scholar (the first student in mainland China), and the first Master student has received the Chinese Institute of Electronics Excellent Master Thesis Award. He has also guided three undergraduate students to win the National Special Award of the 16th “Challenge Cup” Technological Innovation Competition (the highest award), and two undergraduate students to receive the Tsinghua University Special Award in 2016 and 2014, respectively.
He is currently serving as an Area Editor of the IEEE Communications Letters (2019-). He has also served as an Editor of the IEEE Transactions on Communications (2017-2021), and an Editor of the IEEE Transactions on Vehicular Technology (2016-2020). He has also served as a Guest Editor of the IEEE Journal of Selected Topics in Signal Processing (the Special Issue on Hybrid Analog-Digital Signal Processing for Hardware-Efficient Large Scale Antenna Arrays), a Guest Editor of the IEEE Journal on Selected Areas in Communications (the Special Issue on Millimeter Wave Communications for Future Mobile Networks), and the Leading Guest Editor of the IEEE Wireless Communications (the Special Issue on Non-Orthogonal Multiple Access for 5G). He is a co-chair of the IEEE Special Interest Group (SIG) on Signal Processing Techniques in 5G Communication Systems. Particularly, he is dedicated to reproducible research and has made a large amount of simulation code publicly available (refer to his homepage for more details: http://oa.ee.tsinghua.edu.cn/dailinglong/).
Marco Donald Migliore
Bio: Marco Donald Migliore (Senior Member, IEEE) received his Laurea (Hons.) and Ph.D. Degree in Electronic Engineering from the University of Naples, Naples, Italy. He was Visiting Professor at the University of California at San Diego, La Jolla, CA, USA, in 2007, 2008 and 2017; the University of Rennes I, Rennes, France, in 2014 and 2016; the Centria Research Center, Ylivienka, Finland, in 2017; the University of Brasilia, Brazil, in 2018; and Harbin Technical University, China, in 2019.
He is currently Full Professor at the University of Cassino and Southern Lazio, Cassino, Italy, where he is also Head of the Microwave Laboratory. He is also a member of the ELEDIA@UniCAS Research Center, of the National Inter-university Research Center on Interactions between Electromagnetic Fields and Biosystems (ICEMmB), where he is also the Leader of the 5G Group, of the Italian Electromagnetic Society (SIEM), and of the National Interuniversity Consortium for Telecommunications (CNIT).
His current research interests include the connections between electromagnetism and information theory, the analysis, synthesis and characterization of antennas in complex environments, antennas and propagation for 5G and 6G, ad hoc wireless networks, compressed sensing applied to electromagnetic problems and energy applications of microwaves.
Bio: Tengjiao Wang (Member, IEEE) received his B.S. degree and Ph. D. degrees from the Department of Electronic Engineering, Tsinghua University, Beijing, China, in 2016 and 2021, respectively. He was a visiting scholar with the Massachusetts Institute of Technology, Cambridge, MA, USA, in 2019. Currently, he is a principal research engineer with Wireless Network RAN Research Department, Huawei Technologies CO., Ltd, Shanghai, China. His research interests lie in the fields of 5.5G wireless communications, electromagnetic information theory, visible light communications, and machine learning. He was a recipient of the National Scholarship in 2018, the Academic Star of Tsinghua University in 2021, the Excellent Doctoral Dissertation of Tsinghua University in 2021, and the Wang Daheng Optical Award in 2021.
Workshop paper submissions due EXTENDED: 23 March 2022
Acceptance notification: 17 April 2022
Final paper submission due: 1 May 2022
To submit a paper to this workshop, please visit: https://vtc2022s-rr-wks.trackchair.com/track/2052
For additional information and the workshop call-for-papers: CFP VTC22-Spring Workshop on 5.5G EIT-0105