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DTSTAMP:20240615T032018Z
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DESCRIPTION:Multi-RIS-empowered smart wireless networks: Capacity character
 ization and environment learning potential\n\n[]\n\nAbstract\n\nThe upcomi
 ng 6G pushes the 5G performance indicators to unprecedented levels\, envis
 ioning up to THz frequencies\, devices with embedded sensing capabilities\
 , and native artificial intelligence. These challenging features are expec
 ted to become a reality around 2030 and with a strong green footprint. In 
 this talk\, we will elaborate around the emerging technology of reconfigur
 able intelligent surfaces and its efficient configuration optimization via
  state-of-the-art sensing-capable hardware architectures. We will discuss 
 recent results on the capacity characterization of multi-RIS-empowered poi
 nt-to-point and multiple-access channels\, and then present a reinforcemen
 t learning approach for the orchestration of multi-RIS-empowered smart wir
 eless environments. We will also discuss the latest considerations of the 
 latter environments for sensing-aided communications and distributed sensi
 ng.\n\nSpeaker(s): George\n\nAgenda: \nWelcome address : Besma Smida \, No
 rth America COMSOC Director\n\nDistinguished Lecture : George C. Alexandro
 poulos - Multi-RIS-empowered smart wireless networks: Capacity characteriz
 ation and environment learning potential\n\nClosing Notes : Prasenjit Bane
 rjee \, COMSOC Chicago Chapter Chair\n\nRoom: 1000\, Bldg: SEO Building\, 
 851 S Morgan St\, Chicago\, Illinois\, United States\, 60607
LOCATION:Room: 1000\, Bldg: SEO Building\, 851 S Morgan St\, Chicago\, Illi
 nois\, United States\, 60607
ORGANIZER:prasenjit.banerjee@ieee.org
SEQUENCE:30
SUMMARY:Multi-RIS-empowered smart wireless networks: Capacity characterizat
 ion and environment learning potential
URL;VALUE=URI:https://events.vtools.ieee.org/m/423050
X-ALT-DESC:Description: &lt;br /&gt;&lt;p id=&quot;docs-internal-guid-5d9ad273-7fff-1ee9-
 19a2-b5b61f83428c&quot; dir=&quot;ltr&quot; style=&quot;line-height: 1.38\; margin-top: 0pt\; 
 margin-bottom: 12pt\;&quot;&gt;&lt;/p&gt;\n&lt;p dir=&quot;ltr&quot; style=&quot;line-height: 1.38\; margi
 n-top: 12pt\; margin-bottom: 12pt\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 11pt\
 ; font-family: Arial\, sans-serif\; color: rgb(0\, 0\, 0)\; background-col
 or: transparent\; font-style: normal\; font-variant: normal\; text-decorat
 ion: none\; vertical-align: baseline\; white-space: pre-wrap\;&quot;&gt;Multi-RIS-
 empowered smart wireless networks: Capacity characterization and environme
 nt learning potential&lt;/span&gt;&lt;/strong&gt;&lt;/p&gt;\n&lt;p dir=&quot;ltr&quot; style=&quot;line-height
 : 1.38\; margin-top: 12pt\; margin-bottom: 12pt\;&quot;&gt;&lt;span style=&quot;font-size:
  11pt\; font-family: Arial\,sans-serif\; color: #000000\; background-color
 : transparent\; font-weight: 400\; font-style: normal\; font-variant: norm
 al\; text-decoration: none\; vertical-align: baseline\; white-space: pre-w
 rap\;&quot;&gt;&lt;img src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/22
 29a98d-57b8-4bd6-b360-9e49dd7b748c&quot; alt=&quot;&quot; width=&quot;1000&quot; height=&quot;500&quot;&gt;&lt;br&gt;&lt;
 /span&gt;&lt;/p&gt;\n&lt;p dir=&quot;ltr&quot; style=&quot;line-height: 1.38\; margin-top: 12pt\; mar
 gin-bottom: 12pt\;&quot;&gt;&lt;strong&gt;&lt;span style=&quot;font-size: 11pt\; font-family: Ar
 ial\, sans-serif\; color: rgb(0\, 0\, 0)\; background-color: transparent\;
  font-style: normal\; font-variant: normal\; text-decoration: none\; verti
 cal-align: baseline\; white-space: pre-wrap\;&quot;&gt;Abstract&lt;/span&gt;&lt;/strong&gt;&lt;/p
 &gt;\n&lt;p dir=&quot;ltr&quot; style=&quot;line-height: 1.38\; margin-top: 12pt\; margin-botto
 m: 12pt\;&quot;&gt;&lt;span style=&quot;font-size: 11pt\; font-family: Arial\,sans-serif\;
  color: #000000\; background-color: transparent\; font-weight: 400\; font-
 style: normal\; font-variant: normal\; text-decoration: none\; vertical-al
 ign: baseline\; white-space: pre-wrap\;&quot;&gt;The upcoming 6G pushes the 5G per
 formance indicators to unprecedented levels\, envisioning up to THz freque
 ncies\, devices with embedded sensing capabilities\, and native artificial
  intelligence. These challenging features are expected to become a reality
  around 2030 and with a strong green footprint. In this talk\, we will ela
 borate around the emerging technology of reconfigurable intelligent surfac
 es and its efficient configuration optimization via state-of-the-art sensi
 ng-capable hardware architectures. We will discuss recent results on the c
 apacity characterization of multi-RIS-empowered point-to-point and multipl
 e-access channels\, and then present a reinforcement learning approach for
  the orchestration of multi-RIS-empowered smart wireless environments. We 
 will also discuss the latest considerations of the latter environments for
  sensing-aided communications and distributed sensing.&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&amp;nbs
 p\;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;Welcome address : Besma Smida \, North
  America COMSOC Director&lt;/p&gt;\n&lt;p&gt;Distinguished Lecture : George C. Alexand
 ropoulos - Multi-RIS-empowered smart wireless networks: Capacity character
 ization and environment learning potential&lt;/p&gt;\n&lt;p&gt;Closing Notes : Prasenj
 it Banerjee \, COMSOC Chicago Chapter Chair&lt;/p&gt;
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