Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning
Author:
Affiliation:
1. University of Louisville,Louisville,KY,USA
2. duPont Manual High School,Louisville,KY,USA
3. NASA Glenn Research Center,Cleveland,OH,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10436708/10436716/10437906.pdf?arnumber=10437906
Reference17 articles.
1. Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility
2. Report on section 374 of the faa reauthorization act of 2018,2020
3. Cellular-Connected UAV: Potential, Challenges, and Promising Technologies
4. Resource Allocation and Trajectory Design in UAV-Aided Cellular Networks Based on Multiagent Reinforcement Learning
5. Optimal Node Placement and Resource Allocation for UAV Relaying Network
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