3 citations · 4 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
An Optimal Relay Scheme for Outage Minimization in Fog-based Internet-of-Things (IoT) Networks
Babatunji Omoniwa, Riaz Hussain, Muhammad Adil +4
Fog devices are beginning to play a key role in relaying data and services within the Internet-of-Things (IoT) ecosystem. These relays may be static or mobile, with the latter offe…
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning
Babatunji Omoniwa, Boris Galkin, Ivana Dusparic
Unmanned aerial vehicles serving as aerial base stations (UAV-BSs) can be deployed to provide wireless connectivity to ground devices in events of increased network demand, points-…
A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT
Babatunji Omoniwa, Maxime Gueriau, Ivana Dusparic
Recent research has shown the potential of using available mobile fog devices (such as smartphones, drones, domestic and industrial robots) as relays to minimize communication outa…
Using Artificial Neural Network Techniques for Prediction of Electric Energy Consumption
Hasan M. H. Owda, Babatunji Omoniwa, Ahmad R. Shahid +1
Due to imprecision and uncertainties in predicting real world problems, artificial neural network (ANN) techniques have become increasingly useful for modeling and optimization. Th…