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DTSTART;TZID=America/New_York:20230918T170000
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DESCRIPTION:Abstract: Recent interest in integrated sensing and communicati
 ons (ISAC) has led to the design of novel signal processing techniques to 
 recover information from an overlaid radar-communications signal. In this 
 talk\, we focus on the recent signal processing strategies and challenges 
 associated with the development of sensing and communication systems that 
 coexist with the vehicles and road infrastructure deployed in a given area
 . We consider a broad definition of coexistence\, which covers joint commu
 nication and sensing\, collaborative communication and sensing\, and also 
 interference. We consider an aspect of the coexistence paradigm where the 
 two systems support each other beyond interference mitigation such as sens
 or-aided communications and communications-aided sensing. This opens up th
 e avenue for the development of multivehicle sensor fusion strategies. We 
 describe recent works that define topologies for combining radar and commu
 nication functionalities into the same equipment\, drawing on the spectrum
  scarcity and possible gains from the reuse of resources. At higher freque
 ncies\, the complexity of the ISAC transceiver architectures requires the 
 use of deep learning models for processing the received signals. In partic
 ular\, we focus on the joint design of a waveform to mitigate interference
 \, including communications-centric waveforms (OFDMA and 802.11ad)\, radar
 -centric waveforms (PMCW)\, or unified waveforms achieving optimal trade-o
 ffs between the two systems.\n\nCo-sponsored by: WVU - West Virginia Pitts
 burgh subsection\, contact Matthew Valenti\n\nSpeaker(s): \, Kumar Vijay M
 ishra\n\nRoom: 135\, Bldg: Advanced Engineering Research Building\, Morgan
 town\, West Virginia\, United States\, Virtual: https://events.vtools.ieee
 .org/m/371392
LOCATION:Room: 135\, Bldg: Advanced Engineering Research Building\, Morgant
 own\, West Virginia\, United States\, Virtual: https://events.vtools.ieee.
 org/m/371392
ORGANIZER:Matthew.Valenti@mail.wvu.edu
SEQUENCE:40
SUMMARY:Vehicular Joint Radar-Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/371392
X-ALT-DESC:Description: <br /><p><strong>Abstract:</strong>&nbsp\; Recent i
 nterest in integrated sensing and communications (ISAC) has led to the des
 ign of novel signal processing techniques to recover information from an o
 verlaid radar-communications signal. In this talk\, we focus on the recent
  signal processing strategies and challenges associated with the developme
 nt of sensing and communication systems that coexist with the vehicles and
  road infrastructure deployed in a given area. We consider a broad definit
 ion of coexistence\, which covers joint communication and sensing\, collab
 orative communication and sensing\, and also interference. We consider an 
 aspect of the coexistence paradigm where the two systems support each othe
 r beyond interference mitigation such as sensor-aided communications and c
 ommunications-aided sensing. This opens up the avenue for the development 
 of multivehicle sensor fusion strategies. We describe recent works that de
 fine topologies for combining radar and communication functionalities into
  the same equipment\, drawing on the spectrum scarcity and possible gains 
 from the reuse of resources. At higher frequencies\, the complexity of the
  ISAC transceiver architectures requires the use of deep learning&nbsp\;mo
 dels for processing&nbsp\;the received signals. In particular\, we focus o
 n the joint design of a waveform to mitigate interference\, including comm
 unications-centric waveforms (OFDMA and 802.11ad)\, radar-centric waveform
 s (PMCW)\, or unified waveforms achieving optimal trade-offs between the t
 wo systems.&nbsp\;</p>
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