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DTSTART:20210314T030000
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BEGIN:VEVENT
DTSTAMP:20210908T195156Z
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DTSTART;TZID=Canada/Eastern:20210915T090000
DTEND;TZID=Canada/Eastern:20210915T100000
DESCRIPTION:The availability of real-time\, high-accuracy location awarenes
 s is essential for numerous wireless applications\, particularly those inv
 olving Internet-of-Things and the 5G ecosystem. The coming years will see 
 the emergence of network localization and navigation in challenging enviro
 nments with sub-meter accuracy and minimal infrastructure requirements. Th
 is will call for the Localization-of-Things (LoT)\, a new paradigm referri
 ng to locating\, tracking\, and navigating collaborative and non-collabora
 tive nodes (e.g.\, sensors\, vehicles\, and objects). Our work -relying on
  statistics\, optimization\, and communication theory- approaches LoT from
  different perspectives.\n\nThis talk will give an overview of LoT\, exami
 ning our recent research results in this exciting new field\, from the per
 spectives of theoretical framework\, cooperative algorithms\, network oper
 ations\, and network experimentation.\n\nCo-sponsored by: Canadian Confere
 nce on Electrical and Computer Engineering (CCECE) 2021\n\nSpeaker(s): Dr.
  Moe Win\, \n\nVirtual: https://events.vtools.ieee.org/m/280083
LOCATION:Virtual: https://events.vtools.ieee.org/m/280083
ORGANIZER:murraymacdonald@ieee.org
SEQUENCE:5
SUMMARY:CCECE 2021 Keynote Speech - Foundation for Localization-of-Things i
 n 5G Ecosystem and Beyond
URL;VALUE=URI:https://events.vtools.ieee.org/m/280083
X-ALT-DESC:Description: <br /><p>The availability of real-time\, high-accur
 acy location awareness is essential for numerous wireless applications\, p
 articularly those involving Internet-of-Things and the 5G ecosystem. The c
 oming years will see the emergence of network localization and navigation 
 in challenging environments with sub-meter accuracy and minimal infrastruc
 ture requirements. This will call for the Localization-of-Things (LoT)\, a
  new paradigm referring to locating\, tracking\, and navigating collaborat
 ive and non-collaborative nodes (e.g.\, sensors\, vehicles\, and objects).
  Our work -relying on statistics\, optimization\, and communication theory
 - approaches LoT from different perspectives.</p>\n<p>This talk will give 
 an overview of LoT\, examining our recent research results in this excitin
 g new field\, from the perspectives of theoretical framework\, cooperative
  algorithms\, network operations\, and network experimentation.</p>
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