85 citations · 138 across the 17 of their papers we have counts for
3 papers · 1 filter
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing
Lorenzo Bellone, Boris Galkin, Emiliano Traversi +1
Network slicing is a well assessed approach enabling virtualization of the mobile core and radio access network (RAN) in the emerging 5th Generation New Radio. Slicing is of paramo…
Communication-Enabled Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Unmanned aerial vehicles (UAVs) are increasingly deployed to provide wireless connectivity to static and mobile ground users in situations of increased network demand or points of…
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
In this letter, we study the energy efficiency (EE) optimisation of unmanned aerial vehicles (UAVs) providing wireless coverage to static and mobile ground users. Recent multi-agen…