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UID:10ea692d-26b2-4bdd-a983-ed66d9c1a0eb@nexttoyou
DTSTAMP:20261106T152340Z
DTSTART:20261106T180000Z
DTEND:20261106T190000Z
SUMMARY:IEEE Keynote Speaker Series - Realistic Propagation Models For Ris
 -Enabled Communication Channels
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DESCRIPTION:Reconfigurable intelligent surfaces (RISs) can redirect incide
 nt waves to selected directions in a wireless communication channel\, to 
 improve coverage bypassing obstructing objects. This presentation introdu
 ces a hybrid approach that enables the accurate analysis of RIS-enabled c
 ommunication channels in rich scattering\, realistic environments. Our hy
 brid method combines the full-wave analysis of the RIS as a diffuse scatt
 erer\, with the computational efficiency of ray-tracing to obtain accurat
 e field predictions in the near and far field region of the RIS at multip
 le states\, accounting for multipath propagation paths towards and from t
 he RIS. A convolutional neural network is presented to efficiently comput
 e scattered fields from RISs. We present validation studies based on refe
 rence full-wave simulations and an extensive indoor measurement campaign.
 \n---\nEvent Details: https://sundevilcentral.eoss.asu.edu/rsvp?id=416014
 \n\nhttp://next-to-u.app/events/10ea692d-26b2-4bdd-a983-ed66d9c1a0eb
URL:http://next-to-u.app/events/10ea692d-26b2-4bdd-a983-ed66d9c1a0eb
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