24-25.11.2020 at 9:30-12:30 and 13:30-16:30 both days
Passing the course:
Solving homework problems out which the main one is realization of Matlab simulation based assigned scientific publication
The course can be taken under the course title 521318S Tietoliikenne ja radiotekniikan ajankohtaisia aiheita / Modern topics of communications and radio engineering
Registration and Moodle:
https://moodle.oulu.fi/enrol/index.php?id=5571 (Signing to Moodle you can get access to Zoom-links)
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.
DAY 1 24.11
Introduction and Fundamentals of Reconfigurable Intelligent Surfaces
- Radio Environments
- Smart Radio Environments
- Definition of Reconfigurable Intelligent Surfaces
- Implementation of Reconfigurable Intelligent Surfaces
- Comparison with Other Technologies
- Introduction and Definition of Metasurfaces
- Physics and Electromagnetic Modeling for Reconfigurable Intelligent Metasurfaces
- Path-Loss Modeling (scattering theory)
- Path-Loss Modeling (antenna theory) with Experimental Validation
- End-to-End Communication Model
DAY 2 25.11
Applications, Performance Evaluation, and Optimization of Reconfigurable Intelligent Surfaces in Wireless Networks
- Applications of Reconfigurable Intelligent Surfaces in Wireless Networks
- Distribution of the Signal-to-Noise-Ratio in MIMO-Aided Wireless Networks
- Rate Optimization in MIMO-Aided Wireless Networks
- Overhead-Aware Optimization in MIMO-Aided Wireless Networks
- Performance Evaluation and Achievable DIversity in Wireless Networks
- Optimization of End-to-End EM-Compliant Communication Models
- Metasurface-Based Modulation for Single-RF MIMO
- Information-Theoretic Characterization of Reconfigurable Intelligent Surfaces
- Machine Learning in Reconfigurable Intelligent Surface-Assisted Wireless Networks
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 and CentraleSupelec, Paris, France. He is also a Nokia Foundation Visiting Professor at Aalto University, Helsinki, Finland, and was an Honorary Professor at University Technology Sydney, Sydney, Australia, and a Visiting Professor at University of L’Aquila, Italy. In Paris-Saclay University, he is a Member of the coordinating committee of the Ph.D. school on Information and Communication Technologies, and the Coordinator of the “Intelligent Networks” research cluster within the DigiCosme Laboratory of Excellence. He serves as the Editor-in-Chief of IEEE Communications Letters. He served as an Editor of IEEE Transactions on Communications, IEEE Transactions on Wireless Communications, IEEE Communications Letters, and as the Associate Editor-in-Chief of IEEE Communications Letters. He is a Distinguished Lecturer of the IEEE Vehicular Technology Society and IEEE Communications Society, and a Member of the Emerging Technology Committee of the 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 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, the 2019 Nokia Foundation Visiting Professorship, 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, a Fellow of the IET, and a Fellow of the IEEE.
Marco Di Renzo was the Lead Guest Editor of the Special Issue on Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces of the IEEE Journal on Selected Areas in Communications, and is currently a Guest Editor of three Special Issues on Reconfigurable Intelligent Surfaces in IEEE Transactions on Cognitive Communications and Networking, China Communications, and IEEE Wireless Communications Magazine. Also, he is the Proponent and Lead Contributor of the Best Readings in Reconfigurable Intelligent Surfaces of the IEEE Communications Society (to appear).
Marco Di Renzo is the Founding Chair of the Special Interest Group on Reconfigurable Intelligent Surfaces for Smart Radio Environments (RISE), Wireless Communications Technical Committee of the IEEE Communications Society, the Emerging Technology Committee Liaison Officer of the Special Interest Group on Reconfigurable Intelligent Surfaces for Signal Processing and Communications (REFLECTIONS), Signal Processing and Computing for Communications Technical Committee of the IEEE Communications Society, and the Emerging Technology Committee Liaison Officer of the Emerging Technology Initiative on Reconfigurable Intelligent Surfaces for Smart Radio Environments of the IEEE Communications Society.
Last updated: 10.11.2020