BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Helsinki
BEGIN:DAYLIGHT
DTSTART:20230326T040000
TZOFFSETFROM:+0200
TZOFFSETTO:+0300
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:EEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221030T030000
TZOFFSETFROM:+0300
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:EET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230123T103524Z
UID:BD1CF02B-7955-44C6-94E6-BFEB04A9F1EE
DTSTART;TZID=Europe/Helsinki:20230118T160000
DTEND;TZID=Europe/Helsinki:20230118T170000
DESCRIPTION:Reconfigurable Intelligent Surfaces (RISs) are programmable\nme
 tasurfaces that can adaptively steer received electromagnetic energy\nin d
 esired directions by employing controllable phase shifting\ncells. Among o
 ther uses\, an RIS can modify the propagation environment\nin order to pro
 vide wireless access to user locations that are not\notherwise reachable b
 y a base station. Alternatively\, an RIS can steer\nthe waves away from pa
 rticular locations in space\, to eliminate\ninterference and allow for co-
 existence of the wireless network with\nother types of fixed wireless serv
 ices (e.g.\, radars\, unlicensed radio\nbands\, etc.). The novel approach 
 presented in this talk is a\nwave-controlled architecture that properly ac
 counts for the maximum\npossible change in the local reflection phase that
  can be achieved by\nadjacent RIS elements. It obviates the need for dense
  wiring and\nsignal paths that would be required for individual control of
  every\nRIS element\, and thus offers a substantial reduction in the requi
 red\nhardware. We specify this wave-controlled RIS architecture in detail\
 nand discuss signal processing and machine learning methods that\nexploit 
 it in both point-to-point and multi-cell MIMO systems. Such\nimplementatio
 ns can lead to a dramatic improvement in next-generation\nwireless\, radar
 \, and navigation systems where RIS finds wide\napplications. They have th
 e potential to improve the efficiency of\nspectrum utilization and coexist
 ence by orders of magnitude.\n\nCo-sponsored by: University of Oulu\, Cent
 re for Wireless Communications\n\nSpeaker(s): Ender Ayanoglu\, \n\nVirtual
 : https://events.vtools.ieee.org/m/342575
LOCATION:Virtual: https://events.vtools.ieee.org/m/342575
ORGANIZER:harri.saarnisaari@oulu.fi
SEQUENCE:2
SUMMARY:Wave-Controlled Metasurface-Based Reconfigurable Intelligent Surfac
 es
URL;VALUE=URI:https://events.vtools.ieee.org/m/342575
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Reconfigurable Intelligent Surfaces (RISs)
  are programmable&lt;br /&gt;metasurfaces that can adaptively steer received ele
 ctromagnetic energy&lt;br /&gt;in desired directions by employing controllable p
 hase shifting&lt;br /&gt;cells. Among other uses\, an RIS can modify the propaga
 tion environment&lt;br /&gt;in order to provide wireless access to user location
 s that are not&lt;br /&gt;otherwise reachable by a base station. Alternatively\,
  an RIS can steer&lt;br /&gt;the waves away from particular locations in space\,
  to eliminate&lt;br /&gt;interference and allow for co-existence of the wireless
  network with&lt;br /&gt;other types of fixed wireless services (e.g.\, radars\,
  unlicensed radio&lt;br /&gt;bands\, etc.). The novel approach presented in this
  talk is a&lt;br /&gt;wave-controlled architecture that properly accounts for th
 e maximum&lt;br /&gt;possible change in the local reflection phase that can be a
 chieved by&lt;br /&gt;adjacent RIS elements. It obviates the need for dense wiri
 ng and&lt;br /&gt;signal paths that would be required for individual control of 
 every&lt;br /&gt;RIS element\, and thus offers a substantial reduction in the re
 quired&lt;br /&gt;hardware. We specify this wave-controlled RIS architecture in 
 detail&lt;br /&gt;and discuss signal processing and machine learning methods tha
 t&lt;br /&gt;exploit it in both point-to-point and multi-cell MIMO systems. Such
 &lt;br /&gt;implementations can lead to a dramatic improvement in next-generatio
 n&lt;br /&gt;wireless\, radar\, and navigation systems where RIS finds wide&lt;br /
 &gt;applications. They have the potential to improve the efficiency of&lt;br /&gt;s
 pectrum utilization and coexistence by orders of magnitude.&lt;/p&gt;
END:VEVENT
END:VCALENDAR

