[HTML][HTML] Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks

B Omoniwa, B Galkin, I Dusparic - Vehicular Communications, 2023 - Elsevier
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks

B Omoniwa, B Galkin, I Dusparic - 2023 - dl.acm.org
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks

B Omoniwa, B Galkin, I Dusparic - Vehicular Communications, 2023 - trid.trb.org
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

[PDF][PDF] Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks

B Omoniwaa, B Galkinb, I Dusparica - researchgate.net
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks

B Omoniwa, B Galkin, I Dusparic - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …

Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks

B Omoniwa, B Galkin, I Dusparic - arXiv preprint arXiv:2210.00041, 2022 - arxiv.org
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless
connectivity to static and mobile ground users in situations of increased network demand or …