BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
DTSTART:20240310T030000
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20241103T010000
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20240510T023350Z
UID:9EA3888B-BBE3-46B8-A59E-0CA531AA5F9E
DTSTART;TZID=America/New_York:20240506T190000
DTEND;TZID=America/New_York:20240506T200000
DESCRIPTION:As the needs for sensing the physical world to support detectio
 n\, tracking\, AR/VR and slew of other applications increase\, the use of 
 communications waveforms for sensing is becoming more attractive and is li
 kely to emerge as one of the main features in NextG development.\nIn this 
 talk we discuss key challenges in measurement science and modeling approac
 hes for advanced communications and sensing going forward. We will review 
 the main building blocks for joint communications and sensing in terms of 
 efficient spectrum use\, higher frequency bands and the use machine learni
 ng. The millimeter-wave and terahertz bands hold the promise of significan
 t bandwidth and speed due to large swaths of untapped spectrum. In additio
 n\, as massive data volumes are being collected\, analyzed\, and delivered
 \, communications and sensing systems have become too complex to develop\,
  manage\, and operate. The insights that are “mined” from the data usi
 ng Machine Learning (ML) techniques have become standard practice. In this
  talk\, we discuss state-of-the-art and key challenges in measurement and 
 modeling techniques to expedite the development and pave the way for the n
 ext “G”.\n\nSpeaker(s): Nada Golmie\n\nVirtual: https://events.vtools.
 ieee.org/m/411344
LOCATION:Virtual: https://events.vtools.ieee.org/m/411344
ORGANIZER:dansongarcia@ieee.org
SEQUENCE:32
SUMMARY:On Communication and Sensing Measurements and Modeling for Next “
 G”
URL;VALUE=URI:https://events.vtools.ieee.org/m/411344
X-ALT-DESC:Description: <br /><p>As the needs for sensing the physical worl
 d to support detection\, tracking\, AR/VR and slew of other&nbsp\;applicat
 ions increase\, the use of communications waveforms for sensing is becomin
 g more attractive&nbsp\;and is likely to emerge as one of the main feature
 s in NextG development.<br>In this talk we discuss key challenges in measu
 rement science and modeling approaches for advanced&nbsp\;communications a
 nd sensing going forward. We will review the main building blocks for join
 t&nbsp\;communications and sensing in terms of efficient spectrum use\, hi
 gher frequency bands and the use&nbsp\;machine learning. The millimeter-wa
 ve and terahertz bands hold the promise of significant bandwidth&nbsp\;and
  speed due to large swaths of untapped spectrum. In addition\, as massive 
 data volumes are being&nbsp\;collected\, analyzed\, and delivered\, commun
 ications and sensing systems have become too complex to&nbsp\;develop\, ma
 nage\, and operate. The insights that are &ldquo\;mined&rdquo\; from the d
 ata using Machine Learning&nbsp\;(ML) techniques have become standard prac
 tice. In this talk\, we discuss state-of-the-art and key&nbsp\;challenges 
 in measurement and modeling techniques to expedite the development and pav
 e the way for&nbsp\;the next &ldquo\;G&rdquo\;.</p>
END:VEVENT
END:VCALENDAR