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DTSTART:20220313T030000
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DTSTART:20211107T010000
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DTSTAMP:20211201T024021Z
UID:24C2CB3C-03E6-429C-B1A7-93B13EC61472
DTSTART;TZID=America/Denver:20211130T180000
DTEND;TZID=America/Denver:20211130T193000
DESCRIPTION:AI-Aided Design for Next Generation of Wireless Communication S
 ystems\n\nRecent advancements in artificial intelligence (AI) motivates wi
 reless communication engineers to deploy machine and deep learning (DL) to
 ols in different layers of communication protocol stacks. Among others\, t
 here has been a surge of interest in the applications of AI in the physica
 l (PHY) layer of wireless communication systems. The basic idea behind the
  application of AI in PHY layer design is to improve the end-to-end perfor
 mance\, e.g.\, increasing data throughput\, improving energy efficiency\, 
 reducing error rate\, etc. and to alleviate the real-time computational co
 mplexity over conventional design approaches. In general\, the conventiona
 l design of transmitter and receiver is block based\, where each block can
  perform its task optimally and often efficiently.\n\nSpeaker(s): Dr. Imti
 az Ahmed\, \n\nAgenda: \n6pm - Introductions and COMSOC Chapter News\n\n6:
 15 - Volunteer Discussion\n\n6:30 - Feature Talk\n\n7:15pm Q&amp;A\n\nVirtual:
  https://events.vtools.ieee.org/m/288816
LOCATION:Virtual: https://events.vtools.ieee.org/m/288816
ORGANIZER:ComSocDenver@gmail.com
SEQUENCE:3
SUMMARY:AI-Aided Design for Next Generation of Wireless Communication Syste
 ms
URL;VALUE=URI:https://events.vtools.ieee.org/m/288816
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;&lt;span style=&quot;text-decoration: underline\;&quot;
 &gt;&lt;strong&gt;AI-Aided Design for Next Generation of Wireless Communication Sys
 tems&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;Recent advancements in artificial intelligenc
 e (AI) motivates wireless communication engineers to deploy machine and de
 ep learning (DL) tools in different layers of communication protocol stack
 s. Among others\, there has been a surge of interest in the applications o
 f AI in the physical (PHY) layer of wireless communication systems. The ba
 sic idea behind the application of AI in PHY layer design is to improve th
 e end-to-end performance\, e.g.\, increasing data throughput\, improving e
 nergy efficiency\, reducing error rate\, etc. and to alleviate the real-ti
 me computational complexity over conventional design approaches. In genera
 l\, the conventional design of transmitter and receiver is block based\, w
 here each block can perform its task optimally and often efficiently.&amp;nbsp
 \;&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br /&gt;&lt;p&gt;6pm - Introductions and COMSOC Chapter 
 News&lt;/p&gt;\n&lt;p&gt;6:15 - Volunteer Discussion&lt;/p&gt;\n&lt;p&gt;6:30 - Feature Talk&lt;/p&gt;\n
 &lt;p&gt;7:15pm Q&amp;amp\;A&lt;/p&gt;
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