Rafael D. Apaza

According to our database, Rafael D. Apaza authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep Reinforcement Learning-Based Joint Routing and Capacity Optimization in an Aerial and Terrestrial Hybrid Wireless Network.

Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza

IEEE Access, 2024

Intelligent Spectrum and Airspace Resource Management for Urban Air Mobility Using Deep Reinforcement Learning.

Rafael D. Apaza, Ruixuan Han, Hongxiang Li, Eric J. Knoblock

IEEE Access, 2024

2023

Joint Velocity and Spectrum Optimization in Urban Air Transportation System via Multi-Agent Deep Reinforcement Learning.

Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza

IEEE Trans. Veh. Technol., August, 2023

A Generalized Approach to Aircraft Trajectory Prediction via Supervised Deep Learning.

Nora Schimpf, Zhe Wang, Summer Li, Eric J. Knoblock, Hongxiang Li, Rafael D. Apaza

IEEE Access, 2023

Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning.

Ruixuan Han, Summer Li, Eric J. Knoblock, Michael R. Gasper, Hongxiang Li, Rafael D. Apaza

Proceedings of the IEEE Global Communications Conference, 2023

2022

Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility.

Ruixuan Han, Hongxiang Li, Rafael D. Apaza, Eric J. Knoblock, Michael Gasper

IEEE Wirel. Commun., 2022

Dynamic Spectrum Sharing in Cellular Based Urban Air Mobility via Deep Reinforcement Learning.

Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza

Proceedings of the IEEE Global Communications Conference, 2022

2021

Learning Based Edge Computing in Air-to-Air Communication Network.

Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021