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DTSTAMP:20220819T180755Z
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DESCRIPTION:Artificial Intelligence (AI)/machine learning (ML) is not only 
 a technology\, but it is a mindset. AI/ML has the potential of becoming a 
 disruption of how we engineer\, design\, and operate mobile network. ML te
 chniques are being used in almost all the branches of wireless communicati
 on including signal detection\, recognition\, characterization\, channel e
 stimation\, efficient network resource allocation\, error correction codin
 g schemes\, and to address many challenges related to physical layer. More
 over\, in supporting physical layer optimization\, ML has been successfull
 y implemented in upper layers as well for medium access control\, intellig
 ent routing\, and transport layer control. In order to draft successful sp
 ecification for deployment of AI/ML techniques in mobile networks\, 3GPP i
 s working on several aspects: Improving radio performance with AI/ML in ai
 r interface\, ensuring testability\, predictability\, and controllability 
 of AI/ML features\, facilitating UE-RAN collaboration and interoperability
  and AI/ML management aspects.\n\nThis presentation would discuss potentia
 ls and challenges imposed by deployment of AI/ML technology in mobile netw
 ork focusing on 3GPP standards. The discussion would focus on various aspe
 cts of AI/ML implementation in 5G advanced and 6G networks such as current
  status updates and future plans of 3GPP working groups related to AI/ML\,
  detailed discussion on AI/ML for Air-Interface\, AI/ML for NG- RAN\, AI/M
 L for green communication and many more.\n\nSpeaker:  Richa Siddavaatam\, 
 [Nokia Bell Labs](https://www.bell-labs.com/)\nDate: Friday\, August 19\, 
 2022\nTime:  1.00 pm - 2.00 pm (EDT)\nVenue:  WebEx\nMore information: [Ev
 ent page](https://events.vtools.ieee.org/m/320125)\nContact person:  Dale 
 Tardiff &lt;dale@innovativepower.ca&gt;\n\n-------------------------------------
 --------------------------\n\nIEEE Canada Technology Leadership Webinar Se
 ries: IEEE Canada is hosting a webinar series on Technology Leadership. We
  are inviting professional associations\, learned societies\, think tanks\
 , governmental agencies\, and other institutions to participate and contri
 bute speakers. This webinar series is a platform bringing our thought lead
 ers from different stakeholders\, from all walks of life to present their 
 views and advocate their positions on science\, technology\, society\, and
  future economy. It will be open and free to the general public.\n\nDiscla
 imer: The statements and opinions expressed by the webinar speakers are th
 ose of the speakers\, they do not necessarily represent that of the IEEE C
 anada.\n\nSpeaker(s): Richa Siddavaatam\, \n\nAgenda: \n1.00 pm - 1.03 pm:
  Opening and welcome (Dale Tardiff).\n1.03 pm - 1.45 pm: Presentation (Ric
 ha Siddavaatam).\n1.45 pm - 1.57 pm: Q&amp;A (Richa Siddavaatam).\n1.57 pm - 2
 .00 pm: Closing remarks (Dale Tardiff).\n\n* Time is given in Eastern Dayl
 ight Time (EDT)\n\nVirtual: https://events.vtools.ieee.org/m/320125
LOCATION:Virtual: https://events.vtools.ieee.org/m/320125
ORGANIZER:dale@innovativepower.ca
SEQUENCE:16
SUMMARY:IEEE Canada Technology Leadership Webinar Series - XVII
URL;VALUE=URI:https://events.vtools.ieee.org/m/320125
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;text-align: justify\;&quot;&gt;Artificial I
 ntelligence (AI)/machine learning (ML) is not only a technology\, but it i
 s a mindset. AI/ML has the potential of becoming a disruption of how we en
 gineer\, design\, and operate mobile network. ML techniques are being used
  in almost all the branches of wireless communication including signal det
 ection\, recognition\, characterization\, channel estimation\, efficient n
 etwork resource allocation\, error correction coding schemes\, and to addr
 ess many challenges related to physical layer. Moreover\, in supporting ph
 ysical layer optimization\, ML has been successfully implemented in upper 
 layers as well for medium access control\, intelligent routing\, and trans
 port layer control. In order to draft successful specification for deploym
 ent of AI/ML techniques in mobile networks\, 3GPP is working on several as
 pects: Improving radio performance with AI/ML in air interface\, ensuring 
 testability\, predictability\, and controllability of AI/ML features\, fac
 ilitating UE-RAN collaboration and interoperability and AI/ML management a
 spects.&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;This presentation would disc
 uss potentials and challenges imposed by deployment of AI/ML technology in
  mobile network focusing on 3GPP standards. The discussion would focus on 
 various aspects of AI/ML implementation in 5G advanced and 6G networks suc
 h as current status updates and future plans of 3GPP working groups relate
 d to AI/ML\, detailed discussion on AI/ML for Air-Interface\, AI/ML for NG
 - RAN\, AI/ML for green communication and many more.&lt;/p&gt;\n&lt;p style=&quot;text-a
 lign: justify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;
 \n&lt;p style=&quot;text-align: justify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;text-align: just
 ify\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p style=&quot;text-align: justify\;&quot;&gt;&lt;strong&gt;Speaker: &lt;/st
 rong&gt; Richa Siddavaatam\, &lt;a href=&quot;https://www.bell-labs.com/&quot;&gt;Nokia Bell 
 Labs&lt;/a&gt;&lt;br /&gt;&lt;strong&gt;Date: &lt;/strong&gt;Friday\, August 19\, 2022 &lt;br /&gt;&lt;stro
 ng&gt;Time: &lt;/strong&gt; 1.00 pm - 2.00 pm (EDT) &lt;br /&gt;&lt;strong&gt;Venue: &lt;/strong&gt; 
 WebEx&lt;br /&gt;&lt;strong&gt;More information: &lt;/strong&gt;&lt;a href=&quot;https://events.vtoo
 ls.ieee.org/m/320125&quot;&gt;Event page&lt;/a&gt;&lt;br /&gt;&lt;strong&gt;Contact person: &lt;/strong
 &gt; Dale Tardiff &amp;lt\;&lt;a href=&quot;dale@innovativepower.ca&quot; target=&quot;_blank&quot; rel=
 &quot;noopener&quot;&gt;dale@innovativepower.ca&lt;/a&gt;&amp;gt\;&lt;/p&gt;\n&lt;p&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;hr style
 =&quot;height: 2px\; width: 96%\; background-color: #c4c4c4\; background-image:
  linear-gradient(to right\, #ccc\, #00fa\, #ccc)\; padding-top: 0\;&quot; /&gt;\n&lt;
 p style=&quot;text-align: justify\; margin: 0\; padding-top: 0\;&quot;&gt;&lt;span style=&quot;
 font-size: 10pt\;&quot;&gt;&lt;strong&gt;IEEE Canada Technology Leadership Webinar Serie
 s:&lt;/strong&gt; IEEE Canada is hosting a webinar series on Technology Leadersh
 ip. We are inviting professional associations\, learned societies\, think 
 tanks\, governmental agencies\, and other institutions to participate and 
 contribute speakers. This webinar series is a platform bringing our though
 t leaders from different stakeholders\, from all walks of life to present 
 their views and advocate their positions on science\, technology\, society
 \, and future economy. It will be open and free to the general public.&amp;nbs
 p\;&lt;/span&gt;&lt;/p&gt;\n&lt;p style=&quot;margin: 0\; padding-top: 0\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;&lt;s
 pan style=&quot;font-size: 10pt\;&quot;&gt;&lt;strong&gt;Disclaimer:&lt;/strong&gt; The statements 
 and opinions expressed by the webinar speakers are those of the speakers\,
  they do not necessarily represent that of the IEEE Canada.&lt;/span&gt;&lt;/p&gt;&lt;br 
 /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p style=&quot;text-align: justify\;&quot;&gt;1.00 pm - 1.03 pm: 
 Opening and welcome (Dale Tardiff). &lt;br /&gt;1.03 pm - 1.45 pm: Presentation 
 (Richa Siddavaatam). &lt;br /&gt;1.45 pm - 1.57 pm: Q&amp;amp\;A (Richa Siddavaatam)
 . &lt;br /&gt;1.57 pm - 2.00 pm: Closing remarks (Dale Tardiff).&lt;/p&gt;\n&lt;p style=&quot;
 text-align: justify\;&quot;&gt;&lt;strong&gt;*&lt;/strong&gt; &lt;span style=&quot;font-size: 10pt\;&quot;&gt;
 Time is given in Eastern Daylight Time (EDT)&lt;/span&gt;&lt;/p&gt;
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