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PRODID:IEEE vTools.Events//EN
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DTSTART:20210314T030000
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DTSTART:20211107T010000
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BEGIN:VEVENT
DTSTAMP:20210428T140446Z
UID:C5DA9582-C49D-4E88-B13D-455536B38530
DTSTART;TZID=Canada/Eastern:20210427T190000
DTEND;TZID=Canada/Eastern:20210427T200000
DESCRIPTION:Future wireless networks will benefit from flying base-stations
 \, mounted on drones and\n\nunmanned air vehicles. These flying network el
 ements\, integrated with ground-based\n\nnetwork nodes\, will form 3D agil
 e networks with time varying topologies. Proper\n\napplication of such net
 works will need precise positioning – not available through Global\n\nNa
 vigation Satellite Systems (GNSS) – which motivates the need for designi
 ng novel\n\nlocalization and positioning algorithms for 6G networks. Local
 ization is also a critical\n\ncomponent of realizing autonomous driving. T
 he new advancements in wireless systems\,\n\nsuch as the introduction of m
 mWave\, device-to-device (D2D) communication and\n\nReflective Intelligent
  Surfaces (RIS)\, will introduce new opportunities and challenges for\n\nl
 ocalization in beyond 5G networks. In this talk\, we will discuss the rese
 arch directions\n\nfor node positioning in next generation of wireless veh
 icular networks and autonomous\n\ndriving. Especially\, in the presence of
  mobile network components in 3D vehicular\n\nenvironment\, we will show h
 ow D2D communication and cooperative positioning will be\n\na key factor i
 n realizing smart networks of the future.\n\nVirtual: https://events.vtool
 s.ieee.org/m/269537
LOCATION:Virtual: https://events.vtools.ieee.org/m/269537
ORGANIZER:l5zhao@ryerson.ca
SEQUENCE:2
SUMMARY:Positioning methodologies for the next generation of wireless vehic
 ular networks
URL;VALUE=URI:https://events.vtools.ieee.org/m/269537
X-ALT-DESC:Description: <br /><p>Future wireless networks will benefit from
  flying base-stations\, mounted on drones and</p>\n<p>unmanned air vehicle
 s. These flying network elements\, integrated with ground-based</p>\n<p>ne
 twork nodes\, will form 3D agile networks with time varying topologies. Pr
 oper</p>\n<p>application of such networks will need precise positioning &n
 dash\; not available through Global</p>\n<p>Navigation Satellite Systems (
 GNSS) &ndash\; which motivates the need for designing novel</p>\n<p>locali
 zation and positioning algorithms for 6G networks. Localization is also a 
 critical</p>\n<p>component of realizing autonomous driving. The new advanc
 ements in wireless systems\,</p>\n<p>such as the introduction of mmWave\, 
 device-to-device (D2D) communication and</p>\n<p>Reflective Intelligent Su
 rfaces (RIS)\, will introduce new opportunities and challenges for</p>\n<p
 >localization in beyond 5G networks. In this talk\, we will discuss the re
 search directions</p>\n<p>for node positioning in next generation of wirel
 ess vehicular networks and autonomous</p>\n<p>driving. Especially\, in the
  presence of mobile network components in 3D vehicular</p>\n<p>environment
 \, we will show how D2D communication and cooperative positioning will be<
 /p>\n<p>a key factor in realizing smart networks of the future.</p>
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