85 citations · 138 across the 17 of their papers we have counts for
10 papers · 1 filter
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Unmanned aerial vehicles (UAVs) serving as aerial base stations can be deployed to provide wireless connectivity to mobile users, such as vehicles. However, the density of vehicles…
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…
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…
Mobility for Cellular-Connected UAVs: challenges for the network provider
Erika Fonseca, Boris Galkin, Marvin Kelly +2
Unmanned Aerial Vehicle (UAV) technology is becoming more prevalent and more diverse in its application. 5G and beyond networks must enable UAV connectivity. This will require the…
Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network
Boris Galkin, Erika Fonseca, Gavin Lee +4
Unmanned Aerial Vehicle (UAV) technology is becoming increasingly used in a variety of applications such as video surveillance and deliveries. To enable safe and efficient use of U…
UAVs as Mobile Infrastructure: Addressing Battery Lifetime
Boris Galkin, Luiz A. DaSilva
Unmanned aerial vehicles (UAVs) are expected to play an important role in next generation cellular networks, acting as flying infrastructure which can serve ground users when regul…