activity
20172026
most citedCoverage Analysis for Low-Altitude UAV Networks in Urban Environments

85 citations · 138 across the 17 of their papers we have counts for

collaborators

19 papers

eess.SP2026

Learning Compact Terrain-Context Representations for Feasibility-Aware Offline Reinforcement Learning in UAV Relaying Networks

Joseanne Viana, Viswak R Balaji, Boris Galkin +2

Offline reinforcement learning (RL) is an attractive tool for unmanned aerial vehicle (UAV) systems, where online exploration is costly and raises safety concerns. In terrain-aware…

cs.NI2023

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…

cs.NI2022★ 3 cited

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…

cs.MA2022★ 1 cited

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…

cs.NI2022

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…

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…