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eess.SP2021
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points
Boris Galkin, Babatunji Omoniwa, Ivana Dusparic
Unmanned Aerial Vehicles (UAVs) promise to become an intrinsic part of next generation communications, as they can be deployed to provide wireless connectivity to ground users to s…
eess.SP2020★ 4 cited
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning
Erika Fonseca, Boris Galkin, Ramy Amer +2
Providing reliable connectivity to cellular-connected UAV can be very challenging; their performance highly depends on the nature of the surrounding environment, such as density an…