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DTSTAMP:20250205T063532Z
UID:39E23A76-0243-4124-9F9D-B139BCB46BE1
DTSTART;TZID=America/Los_Angeles:20250204T190000
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DESCRIPTION:Reconfigurable Intelligent Surfaces (RISs) are programmable met
 asurfaces that can adaptively steer received electromagnetic energy in des
 ired directions by employing controllable phase shifting cells. Among othe
 r uses\, an RIS can modify the propagation environment in order to provide
  wireless access to user locations that are not otherwise reachable by a b
 ase station. Alternatively\, an RIS can steer the waves away from particul
 ar locations in space\, to eliminate interference and allow for co-existen
 ce of the wireless network with other types of fixed wireless services (e.
 g.\, radars\, unlicensed radio bands\, etc.). The novel approach presented
  in this talk is a wave-controlled architecture that properly accounts for
  the maximum possible change in the local reflection phase that can be ach
 ieved by adjacent RIS elements. It obviates the need for dense wiring and 
 signal paths that would be required for individual control of every RIS el
 ement\, and thus offers a substantial reduction in the required hardware. 
 We specify this wave-controlled RIS architecture in detail and discuss sig
 nal processing and machine learning methods that exploit it in both point-
 to-point and multi-cell MIMO systems. Such implementations can lead to a d
 ramatic improvement in next-generation wireless\, radar\, and navigation s
 ystems where RIS finds wide applications. They have the potential to impro
 ve the efficiency of spectrum utilization and coexistence by orders of mag
 nitude.\n\nSpeaker(s): Ender Ayanoglu \, \n\nVirtual: https://events.vtool
 s.ieee.org/m/463834
LOCATION:Virtual: https://events.vtools.ieee.org/m/463834
ORGANIZER:isayan@ieee.org
SEQUENCE:19
SUMMARY:Wave-Controlled Metasurface-Based Reconfigurable Intelligent Surfac
 es
URL;VALUE=URI:https://events.vtools.ieee.org/m/463834
X-ALT-DESC:Description: <br /><p>Reconfigurable Intelligent Surfaces (RISs)
  are programmable metasurfaces that can adaptively steer received electrom
 agnetic energy in desired directions by employing controllable phase shift
 ing cells. Among other uses\, an RIS can modify the propagation environmen
 t in order to provide wireless access to user locations that are not other
 wise reachable by a base station. Alternatively\, an RIS can steer the wav
 es away from particular locations in space\, to eliminate interference and
  allow for co-existence of the wireless network with other types of fixed 
 wireless services (e.g.\, radars\, unlicensed radio bands\, etc.). The nov
 el approach presented in this talk is a wave-controlled architecture that 
 properly accounts for the maximum possible change in the local reflection 
 phase that can be achieved by adjacent RIS elements. It obviates the need 
 for dense wiring and signal paths that would be required for individual co
 ntrol of every RIS element\, and thus offers a substantial reduction in th
 e required hardware. We specify this wave-controlled RIS architecture in d
 etail and discuss signal processing and machine learning methods that expl
 oit it in both point-to-point and multi-cell MIMO systems. Such implementa
 tions can lead to a dramatic improvement in next-generation&nbsp\;wireless
 \, radar\, and navigation systems where RIS finds wide applications. They 
 have the potential to improve the efficiency of spectrum utilization and c
 oexistence by orders of magnitude.&nbsp\;</p>
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