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DTSTAMP:20230428T084738Z
UID:6709B712-39A9-47D9-BF84-D2EFCED6C2F9
DTSTART;TZID=America/New_York:20230420T113000
DTEND;TZID=America/New_York:20230420T140000
DESCRIPTION:The emergence of new aerial vehicles into the airspace and the 
 continued growth of aviation operations will cause increasing demands for 
 wireless communications throughout the National Airspace System (NAS). In 
 particular\, the emerging concepts of Urban Air Mobility (UAM) and Advance
 d Air Mobility (AAM) open a new paradigm for urban air transportation. By 
 partnering with NASA Glenn Research Center (GRC)\, the University of Louis
 ville has been investigating intelligent spectrum management solutions to 
 maximize the spectrum utilization efficiency for aeronautical communicatio
 ns in support of future air transportation systems. This seminar will pres
 ent the latest development of the Deep Reinforcement Learning (DRL) based 
 solutions on air-ground and air-air communications.\n\nSpeaker(s): Dr. Hon
 gxiang Li\, \n\nAgenda: \n11:30 AM - Sign-in\, Pay and Socialize\n\nNoon 
 – Buffet Lunch\n\n12:30 PM – Presentation\n\nBldg: University Club –
  Univ. of Louisville Campus\, 200 E Brandeis Ave\, Louisville\, Kentucky\,
  United States\, 40208
LOCATION:Bldg: University Club – Univ. of Louisville Campus\, 200 E Brand
 eis Ave\, Louisville\, Kentucky\, United States\, 40208
ORGANIZER:jg223@hotmail.com
SEQUENCE:9
SUMMARY:A Deep Reinforcement Learning-based Approach for Intelligent Spectr
 um Optimization for Future Aeronautical Communications
URL;VALUE=URI:https://events.vtools.ieee.org/m/353405
X-ALT-DESC:Description: <br /><p>The emergence of new aerial vehicles into 
 the airspace and the continued growth of aviation operations will cause in
 creasing demands for wireless communications throughout the National Airsp
 ace System (NAS). In particular\, the emerging concepts of Urban Air Mobil
 ity (UAM) and Advanced Air Mobility (AAM) open a new paradigm for urban ai
 r transportation. By partnering with NASA Glenn Research Center (GRC)\, th
 e University of Louisville has been investigating intelligent spectrum man
 agement solutions to maximize the spectrum utilization efficiency for aero
 nautical communications in support of future air transportation systems. T
 his seminar will present the latest development of the Deep Reinforcement 
 Learning (DRL) based solutions on air-ground and air-air communications.&n
 bsp\;</p><br /><br />Agenda: <br /><p>11:30 AM&nbsp\; - Sign-in\, Pay and 
 Socialize</p>\n<p>Noon &ndash\; Buffet Lunch</p>\n<p>12:30 PM &ndash\; Pre
 sentation</p>
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