Eric J. Knoblock

13 papers B 4Misc 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 B conf
3D Trajectory and Spectrum Optimization for Advanced Air Mobility: A Multi-agent Deep Reinforcement Learning Approach.
GLOBECOM
Qingyang Li, Hongxiang Li, Eric J. Knoblock
2025 — conf
Joint Trajectory and Spectrum Optimization in Advanced Air Mobility via Multi-Agent Deep Reinforcement Learning.
VTC2025-Spring
Qingyang Li, Hongxiang Li, Eric J. Knoblock
2025 — conf
Spectrum Sensing in 3D Wireless Networks.
ICC Workshops
Md. Asif Syed, Hongxiang Li, Eric J. Knoblock
2025 — conf
Spectrum Sensing in UAV-Enabled Cellular Networks.
ICC Workshops
Md. Asif Syed, Hongxiang Li, Eric J. Knoblock, Lingjia Liu
2024 J jnl
Deep Reinforcement Learning-Based Joint Routing and Capacity Optimization in an Aerial and Terrestrial Hybrid Wireless Network.
IEEE Access
Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza
2024 B conf
Delay Sensitive Routing in an Aerial and Terrestrial Hybrid Wireless Network via Multi-agent Reinforcement Learning.
GLOBECOM
Zhe Wang, Summer Li, Eric J. Knoblock, Hongxiang Li, Rafael D. Apaza
2024 J jnl
Intelligent Spectrum and Airspace Resource Management for Urban Air Mobility Using Deep Reinforcement Learning.
IEEE Access
Rafael D. Apaza, Ruixuan Han, Hongxiang Li, Eric J. Knoblock
2023 J jnl
A Generalized Approach to Aircraft Trajectory Prediction via Supervised Deep Learning.
IEEE Access
Nora Schimpf, Zhe Wang, Summer Li, Eric J. Knoblock, Hongxiang Li, Rafael D. Apaza
2023 B conf
Joint Communication Resource Allocation and Velocity Optimization in Advanced Air Mobility via Multi-Agent Reinforcement Learning.
GLOBECOM
Ruixuan Han, Summer Li, Eric J. Knoblock, Michael R. Gasper, Hongxiang Li, Rafael D. Apaza
2023 J jnl
Joint Velocity and Spectrum Optimization in Urban Air Transportation System via Multi-Agent Deep Reinforcement Learning.
IEEE Trans. Veh. Technol.
Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza
2022 J jnl
Deep Reinforcement Learning Assisted Spectrum Management in Cellular Based Urban Air Mobility.
IEEE Wirel. Commun.
Ruixuan Han, Hongxiang Li, Rafael D. Apaza, Eric J. Knoblock, Michael Gasper
2022 B conf
Dynamic Spectrum Sharing in Cellular Based Urban Air Mobility via Deep Reinforcement Learning.
GLOBECOM
Ruixuan Han, Hongxiang Li, Eric J. Knoblock, Michael R. Gasper, Rafael D. Apaza
2021 Misc conf
Learning Based Edge Computing in Air-to-Air Communication Network.
SEC
Zhe Wang, Hongxiang Li, Eric J. Knoblock, Rafael D. Apaza