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DTSTART:20240310T030000
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BEGIN:VEVENT
DTSTAMP:20240917T162109Z
UID:D5B2F772-6119-4BB1-9505-EE5C2DC719FB
DTSTART;TZID=America/Los_Angeles:20240916T170000
DTEND;TZID=America/Los_Angeles:20240916T190000
DESCRIPTION:Abstract: In this talk\, we focus on the recent developments to
 ward integrated sensing and communications (ISAC). We consider a broad def
 inition of coexistence\, which covers ISAC\, collaborative communications\
 , and sensing with interference. Toward fully realizing the coexistence of
  the two systems\, optimization of resources for both new/futuristic sensi
 ng and wireless communications modalities is crucial. These synergistic ap
 proaches that exploit the interplay between state sensing and communicatio
 ns are both driving factors and opportunities for many current signal proc
 essing and information-theoretic techniques. In addition\, a large body of
  prior works considers colocated ISAC systems while distributed systems re
 main relatively unexamined. Building on the existing approaches\, the tuto
 rial focuses on highlighting emerging scenarios in collaborative and distr
 ibuted ISAC\, particularly at mm-Wave and THz frequencies\, highly dynamic
  vehicular/automotive environments that would benefit from information exc
 hange between the two systems. It presents the architectures and possible 
 methodologies for mutually beneficial distributed co-existence and co-desi
 gn\, including sensor fusion and heterogeneously distributed radar and com
 munications. The tutorial also considers recent developments such as the d
 eployment of intelligent reflecting surfaces (IRS) in ISAC\, 5G systems\, 
 passive internet-of-things\, and ISAC secrecy rate optimization. This tuto
 rial aims to draw the attention of the radar\, communications\, and signal
  processing communities toward an emerging area\, which can benefit from t
 he cross-fertilization of ideas in distributed systems.\n\nSpeaker(s): \, 
 Kumar Vijay Mishra\n\nRoom: 1308\, Bldg: SCDI\, 500 El Camino Real\, Santa
  Clara\, California\, United States\, 95053
LOCATION:Room: 1308\, Bldg: SCDI\, 500 El Camino Real\, Santa Clara\, Calif
 ornia\, United States\, 95053
ORGANIZER:bdezfouli@scu.edu
SEQUENCE:7
SUMMARY:"Signal Processing for Integrated Sensing and Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/432783
X-ALT-DESC:Description: <br /><div><strong>Abstract</strong>: In this talk\
 , we focus on the recent developments toward integrated sensing and commun
 ications (ISAC). We consider a broad definition of coexistence\, which cov
 ers ISAC\, collaborative communications\, and sensing with interference. T
 oward fully realizing the coexistence of the two systems\, optimization of
  resources for both new/futuristic sensing and wireless communications mod
 alities is crucial. These synergistic approaches that exploit the interpla
 y between state sensing and communications are both driving factors and op
 portunities for many current signal processing and information-theoretic t
 echniques. In addition\, a large body of prior works considers colocated I
 SAC systems while distributed systems remain relatively unexamined. Buildi
 ng on the existing approaches\, the tutorial focuses on highlighting emerg
 ing scenarios in collaborative and distributed ISAC\, particularly at mm-W
 ave and THz frequencies\, highly dynamic vehicular/automotive environments
  that would benefit from information exchange between the two systems. It 
 presents the architectures and possible methodologies for mutually benefic
 ial distributed co-existence and co-design\, including sensor fusion and h
 eterogeneously distributed radar and communications. The tutorial also con
 siders recent developments such as the deployment of intelligent reflectin
 g surfaces (IRS) in ISAC\, 5G systems\, passive internet-of-things\, and I
 SAC secrecy rate optimization. This tutorial aims to draw the attention of
  the radar\, communications\, and signal processing communities toward an 
 emerging area\, which can benefit from the cross-fertilization of ideas in
  distributed systems.</div>
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