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DTSTAMP:20221227T140119Z
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DTSTART;TZID=America/Chicago:20221220T100000
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DESCRIPTION:As a next-generation wireless technology\, the in-band full-dup
 lex (IBFD) transmission enables simultaneous transmission and reception of
  signals over the same frequency\, thereby doubling spectral efficiency. F
 urther\, a continuous up-scaling of wireless network carrier frequencies a
 rising from ever-increasing data traffic is driving research on integrated
  sensing and communications (ISAC) systems. In this context\, we study the
  co-design of common waveforms\, precoders\, and filters for an IBFD multi
 -user (MU) multiple-input multiple-output (MIMO) communications with a dis
 tributed MIMO radar. In particular\, we tackle a multi-target detection an
 d localization problem in this distributed FD ISAC framework. This co-desi
 gn problem that includes practical MU-MIMO constraints on power and qualit
 y of service is highly non-convex. We solve this problem using an alternat
 ing optimization framework and also propose a low-complexity procedure bas
 ed on Barzilai–Borwein gradient algorithm to obtain the design parameter
 s and mixed-integer linear program for distributed target localization. Nu
 merical experiments demonstrate the feasibility and accuracy of multi-targ
 et sensing of the distributed FD ISAC system. Toward the end of the talk\,
  we briefly touch upon our research on other ISAC topics.\n\nSpeaker(s): K
 umar Vijay Mishra\, \n\nVirtual: https://events.vtools.ieee.org/m/338560
LOCATION:Virtual: https://events.vtools.ieee.org/m/338560
ORGANIZER:f.behmann@ieee.org
SEQUENCE:7
SUMMARY:Distinguished Lecture: Full-Duplex Distributed Integrated Sensing a
 nd Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/338560
X-ALT-DESC:Description: <br /><p><span style="font-size: 14pt\; font-family
 : arial\, helvetica\, sans-serif\;">As a next-generation wireless technolo
 gy\, the in-band full-duplex (IBFD) transmission enables simultaneous tran
 smission and reception of signals over the same frequency\, thereby doubli
 ng spectral efficiency. Further\, a continuous up-scaling of wireless netw
 ork carrier frequencies arising from ever-increasing data traffic is drivi
 ng research on integrated sensing and communications (ISAC) systems. In th
 is context\, we study the co-design of common waveforms\, precoders\, and 
 filters for an IBFD multi-user (MU) multiple-input multiple-output (MIMO) 
 communications with a distributed MIMO radar. In particular\, we tackle a 
 multi-target detection and localization problem in this distributed FD ISA
 C framework. This co-design problem that includes practical MU-MIMO constr
 aints on power and quality of service is highly non-convex. We solve this 
 problem using an alternating optimization framework and also propose a low
 -complexity procedure based on Barzilai&ndash\;Borwein gradient algorithm 
 to obtain the design parameters and mixed-integer linear program for distr
 ibuted target localization. Numerical experiments demonstrate the feasibil
 ity and accuracy of multi-target sensing of the distributed FD ISAC system
 . Toward the end of the talk\, we briefly touch upon our research on other
  ISAC topics.</span></p>
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