A Deep Reinforcement Learning-based Approach for Intelligent Spectrum Optimization for Future Aeronautical Communications

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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 Advanced Air Mobility (AAM) open a new paradigm for urban air transportation. By partnering with NASA Glenn Research Center (GRC), the University of Louisville has been investigating intelligent spectrum management solutions to maximize the spectrum utilization efficiency for aeronautical communications in support of future air transportation systems. This seminar will present the latest development of the Deep Reinforcement Learning (DRL) based solutions on air-ground and air-air communications.
Speaker(s): Dr. Hongxiang Li,
11:30 AM – Sign-in, Pay and Socialize
Noon – Buffet Lunch
12:30 PM – Presentation
Bldg: University Club – Univ. of Louisville Campus, 200 E Brandeis Ave, Louisville, Kentucky, United States, 40208

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