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DTSTART:20231105T010000
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DTSTAMP:20231016T044118Z
UID:E80CF5B2-DB15-4A03-84FE-86F9D924BB84
DTSTART;TZID=America/Denver:20231012T183000
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DESCRIPTION:In addition to machine learning (ML) algorithms\, reconfigurabl
 e intelligent surfaces (RIS) are considered the key candidates for 6th gen
 eration mobile communication systems.\n\nBoth technologies introduce a par
 adigm shift from traditional and contemporary wireless communication metho
 ds.\n\nTypically\, the wireless channel is considered passive and not modi
 fiable by the network operator\; hence\, the transmitter and receiver are 
 optimized to overcome fixed impairments of the channel model.\n\nHowever\,
  with the introduction of RIS\, the channel becomes intelligent and contro
 llable to a certain degree.\n\nFor example\, a mmWave communications syste
 m would suffer severely from absorption in the line-of-sight propagation p
 ath. Using a RIS for reflecting or directing the electromagnetic wave\, th
 e communications link can be properly restored.\n\nSimilarly\, ML could be
  used to learn the most effective configuration for particular channel imp
 airments. Remote sensing applications are another area where RIS can assis
 t in enhancing performance.\n\nA RIS is a two-dimensional surface of discr
 ete\, individually tunable but passive elements (unit cells)\, typically c
 onsisting of varactors\, PIN diodes\, or MEMS. Reconfigurable metamaterial
 s and meta-surfaces are another approach to implementing RIS.\n\nBy carefu
 lly designing and optimizing the tuning of the elements\, various electrom
 agnetic (EM) wave transformation objectives can be met.\n\nSome examples o
 f achievable EM functions are polarization\, reflection\, refraction\, foc
 using\, collimation\, modulation\, absorption\, or a combination of these.
  Furthermore\, a RIS can be considered a new type of network node employin
 g structures with various considerations such as form factor\, design\, an
 d integration.\n\nThe RIS has low implementation costs and energy consumpt
 ion\; hence\, combining RIS with ML is creating enormous innovation opport
 unities that will progressively impact the evolution of wireless system ar
 chitecture\, access technologies\, and networking protocols.\n\nSpeaker(s)
 : Anders Buvarp\, \n\nVirtual: https://events.vtools.ieee.org/m/374843
LOCATION:Virtual: https://events.vtools.ieee.org/m/374843
ORGANIZER:genef@ieee.org
SEQUENCE:11
SUMMARY:October 2023 PPCS Meeting - Introduction to Reconfigurable Intellig
 ent Surfaces - with Anders M. Buvarp
URL;VALUE=URI:https://events.vtools.ieee.org/m/374843
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;In addition to machine learning&lt;strong&gt; (M
 L)&lt;/strong&gt; algorithms\, &lt;strong&gt;reconfigurable intelligent surfaces &lt;/str
 ong&gt;(RIS) are considered the key candidates for &lt;strong&gt;6th generation&lt;/st
 rong&gt; mobile communication systems.&lt;/p&gt;\n&lt;p&gt;Both technologies introduce a 
 &lt;strong&gt;paradigm shift&lt;/strong&gt; from traditional and contemporary wireless
  communication methods.&lt;/p&gt;\n&lt;p&gt;Typically\, the &lt;strong&gt;wireless channel i
 s considered passive and not modifiable by the network operator\;&lt;/strong&gt;
  hence\, the transmitter and receiver are optimized to overcome fixed impa
 irments of the channel model.&lt;/p&gt;\n&lt;p&gt;However\, with the introduction of R
 IS\, &lt;strong&gt;the channel becomes intelligent and controllable to a certain
  degree&lt;/strong&gt;.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;For example&lt;/strong&gt;\, a mmWave communic
 ations system would suffer severely from absorption in the line-of-sight p
 ropagation path. Using a RIS for reflecting or directing the electromagnet
 ic wave\, the communications link can be properly restored.&lt;/p&gt;\n&lt;p&gt;Simila
 rly\, ML could be used to learn the most effective configuration for parti
 cular channel impairments. Remote sensing applications are another area wh
 ere RIS can assist in enhancing performance.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;A RIS is a tw
 o-dimensional surface of discrete\, individually tunable but passive eleme
 nts (unit cells)\,&lt;/strong&gt; typically consisting of varactors\, PIN diodes
 \, or MEMS. Reconfigurable metamaterials and meta-surfaces are another app
 roach to implementing RIS.&lt;/p&gt;\n&lt;p&gt;By carefully designing and optimizing t
 he tuning of the elements\, various electromagnetic (EM) wave transformati
 on objectives can be met.&lt;/p&gt;\n&lt;p&gt;Some examples of &lt;strong&gt;achievable EM f
 unctions are polarization\, reflection\, refraction\, focusing\, collimati
 on\, modulation\, absorption\, or a combination of these.&lt;/strong&gt; Further
 more\, a RIS can be considered a new type of network node employing struct
 ures with various considerations such as form factor\, design\, and integr
 ation.&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;The RIS has low implementation costs and energy con
 sumption&lt;/strong&gt;\; hence\, combining RIS with ML is creating enormous inn
 ovation opportunities that will progressively impact the evolution of wire
 less system architecture\, access technologies\, and networking protocols.
 &lt;/p&gt;
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