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Integrating Electromagnetics, Communications, and Machine Learning: Energy/Information Exchange in Massive MIMO, 5G Wireless, and Future Networks as a Paradigm

Event Type
Seminar/Symposium
Sponsor
UIUC-ZJUI Partnership Office
Location
Engineering Hall - 401 B1
Date
Sep 12, 2019   12:00 pm  
Speaker
Said Mikki
Cost
Free
Contact
Kate Freeman
E-Mail
katefree@illinois.edu
Phone
217-714-7774
Views
65
Originating Calendar
University of Illinois at Urbana-Champaign/Zhejiang University Partnership

Abstract: We provide a fully integrated treatment of communication and electromagnetic theories, where the physics of electromagnetic fields when viewed as spacetime processes is directly linked to signal processing, information, and energy transfer in wireless links. Utilizing general and powerful theoretical tools developed in recent researches, such as the antenna current Green's function, energy localization in spacetime, the cross-correlation Green's functions, the infinitesimal dipole model (IDM) techniques in machine learning, and electromagnetic neural networks, we explicate how information capacity, correlation, and energy transfer are influenced by taking into account the full physical content of EM fields as spacetime signals in concrete applications, including spectral efficiency enhancement, diversity gain optimization, engineering MIMO channels using metasurfaces, mutual coupling and dispersion management in large and complex arrays. Various case studies in massive MIMO, 5G, and Future Antennas are introduced to illustrate the main advantages and novel new applications in a pedagogically illuminating manner. 

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