Babatunji Omoniwa | DeepAI

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Featured Co-authors

Ivana Dusparic
29 publications
Boris Galkin
18 publications
Muhammad Adil
8 publications
Riaz Hussain
1 publication
Hasan M. H. Owda
1 publication
Ahmad R. Shahid
1 publication
Sheikh Ziauddin
1 publication
Atif Shakeel
1 publication
Ahmed Kamal Tahir
1 publication
Qadeer Ul Hasan
1 publication
Shahzad A. Malik
1 publication

∙ 06/14/2023

Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks

Unmanned aerial vehicles (UAVs) serving as aerial base stations can be d...

0 Babatunji Omoniwa, et al. ∙

∙ 09/30/2022

Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks

Unmanned Aerial Vehicles (UAVs) are increasingly deployed to provide wir...

0 Babatunji Omoniwa, et al. ∙

∙ 04/04/2022

Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning

In this letter, we study the energy efficiency (EE) optimisation of unma...

0 Babatunji Omoniwa, et al. ∙

∙ 11/03/2021

Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points

Unmanned Aerial Vehicles (UAVs) promise to become an intrinsic part of n...

0 Boris Galkin, et al. ∙

∙ 06/01/2021

An Optimal Relay Scheme for Outage Minimization in Fog-based Internet-of-Things (IoT) Networks

Fog devices are beginning to play a key role in relaying data and servic...

0 Babatunji Omoniwa, et al. ∙

∙ 06/01/2021

Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning

Unmanned aerial vehicles serving as aerial base stations (UAV-BSs) can b...

0 Babatunji Omoniwa, et al. ∙

∙ 06/01/2021

A reinforcement learning approach to improve communication performance and energy utilization in fog-based IoT

Recent research has shown the potential of using available mobile fog de...

0 Babatunji Omoniwa, et al. ∙

∙ 12/06/2014

Using Artificial Neural Network Techniques for Prediction of Electric Energy Consumption

Due to imprecision and uncertainties in predicting real world problems, ...

0 Hasan M. H. Owda, et al. ∙

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