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DTSTAMP:20231130T130623Z
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DTSTART;TZID=America/New_York:20231127T100000
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DESCRIPTION:Vehicle-to-everything (V2X) has developed rapidly over the past
  decades. In the imminent era of 6G communications\, unprecedented advance
 ments will reshape our technological landscape and redefine the boundaries
  of the digital experience. While the specific details of 6G-enabled V2X n
 etworks are still under exploration\, there is a consensus that it will en
 able two main features: ubiquitous communications via satellite-terrestria
 l integrated networks and intelligent connections tailored for emerging ap
 plications\, notably autonomous vehicles. In this talk\, we will first dis
 cuss extended use cases and potential network architectures in 6G. We will
  then focus on one case study\, AI-enabled connected autonomous driving to
  support one of the representative 6G use cases. The case study focuses on
  enhancing resource scheduling for timely and reliable edge computing in a
 utonomous driving. We will highlight the indispensable role of AI in netwo
 rk management\, aiming to provide seamless connectivity and meet diverse s
 ervice demands in the 6G era.\n\nSpeaker(s): Dr. Lian Zhao\, \n\nRoom: 358
 \, Bldg: Podium Building (POD)\, Toronto Metropolitan University \, 350 Vi
 ctoria St. \, Toronto\, Ontario\, Canada
LOCATION:Room: 358\, Bldg: Podium Building (POD)\, Toronto Metropolitan Uni
 versity \, 350 Victoria St. \, Toronto\, Ontario\, Canada
ORGANIZER:l5zhao@torontomu.ca
SEQUENCE:23
SUMMARY: Towards 6G-enabled Vehicle-to-Everything: Extreme Connectivity and
  Intelligence
URL;VALUE=URI:https://events.vtools.ieee.org/m/380603
X-ALT-DESC:Description: <br /><p>Vehicle-to-everything (V2X) has developed 
 rapidly over the past decades. In the imminent era of 6G communications\, 
 unprecedented advancements will reshape our technological landscape and re
 define the boundaries of the digital experience. While the specific detail
 s of 6G-enabled V2X networks are still under exploration\, there is a cons
 ensus that it will enable two main features: ubiquitous communications via
  satellite-terrestrial integrated networks and intelligent connections tai
 lored for emerging applications\, notably autonomous vehicles. In this tal
 k\, we will first discuss extended use cases and potential network archite
 ctures in 6G. We will then focus on one case study\, AI-enabled connected 
 autonomous driving to support one of the representative 6G use cases. The 
 case study focuses on enhancing resource scheduling for timely and reliabl
 e edge computing in autonomous driving. We will highlight the indispensabl
 e role of AI in network management\, aiming to provide seamless connectivi
 ty and meet diverse service demands in the 6G era.</p>
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