BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
DTSTART:20250330T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3
TZNAME:CEST
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241027T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10
TZNAME:CET
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250325T102041Z
UID:95B55A87-B954-47FD-A5D8-A8670C9DD6A0
DTSTART;TZID=Europe/Stockholm:20250128T160000
DTEND;TZID=Europe/Stockholm:20250128T170000
DESCRIPTION:AI/ML is poised to significantly influence the future of 6G tec
 hnology. Their integration into the Radio Access Network (RAN) and devices
  is expected to enhance spectral efficiency\, coverage\, and energy effici
 ency. Innovations such as AI-native air interface and AI-driven RAN Digita
 l Twin modeling are already impacting 5G systems and laying the groundwork
  for 6G.\n\nIn this presentation\, we will explore the role of AI/ML in th
 e evolution of 5G and 6G Air Interface Standards. We will present AI/ML us
 e cases currently being studied or specified in 5G-Advanced 3GPP Air Inter
 face Standards\, including channel state feedback\, channel prediction\, b
 eam prediction\, precise positioning\, and mobility enhancement\, as well 
 as general frameworks for one-sided and two-sided models. Additionally\, w
 e will discuss the opportunities AI/ML presents for the 6G Air Interface a
 nd highlight select use cases.\n\nSpeaker(s): Dr. Taesang Yoo\n\nVirtual: 
 https://events.vtools.ieee.org/m/463419
LOCATION:Virtual: https://events.vtools.ieee.org/m/463419
ORGANIZER:henkw@chalmers.se
SEQUENCE:12
SUMMARY:IEEE industry seminar by Dr. Taesang Yoo on AI/ML for 5G/6G Air Int
 erface
URL;VALUE=URI:https://events.vtools.ieee.org/m/463419
X-ALT-DESC:Description: <br /><p><span style="font-size: 12pt\;"><span lang
 ="EN-US" style="font-family: 'Aptos'\,sans-serif\; mso-ansi-language: EN-U
 S\; mso-fareast-language: KO\;">AI/ML is poised to significantly influence
  the future of 6G technology. Their integration into the Radio Access Netw
 ork (RAN) and devices is expected to enhance spectral efficiency\, coverag
 e\, and energy efficiency. Innovations such as AI-native air interface and
  AI-driven RAN Digital Twin modeling are already impacting 5G systems and 
 laying the groundwork for 6G.</span></span></p>\n<p class="MsoNormal"><spa
 n lang="EN-US" style="font-family: 'Aptos'\, sans-serif\; font-size: 12pt\
 ;">In this presentation\, we will explore the role of AI/ML in the evoluti
 on of 5G and 6G Air Interface Standards. We will present AI/ML use cases c
 urrently being studied or specified in 5G-Advanced 3GPP Air Interface Stan
 dards\, including channel state feedback\, channel prediction\, beam predi
 ction\, precise positioning\, and mobility enhancement\, as well as genera
 l frameworks for one-sided and two-sided models. Additionally\, we will di
 scuss the opportunities AI/ML presents for the 6G Air Interface and highli
 ght select use cases.</span></p>
END:VEVENT
END:VCALENDAR