Boris Galkin | DeepAI

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∙ 09/05/2023

Experimental Evaluation of Air-to-Ground VHF Band Communication for UAV Relays

Unmanned Aerial Vehicles (UAVs) are a disruptive technology that is tran...

0 Boris Galkin, et al. ∙

∙ 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. ∙

∙ 11/15/2022

Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-aided RAN-slicing

Network slicing is a well assessed approach enabling virtualization of t...

0 Lorenzo Bellone, 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

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. ∙

∙ 02/25/2021

Mobility for Cellular-Connected UAVs: challenges for the network provider

Unmanned Aerial Vehicle (UAV) technology is becoming more prevalent and ...

0 Erika Fonseca, et al. ∙

∙ 11/06/2020

Experimental Evaluation of a UAV User QoS from a Two-Tier 3.6GHz Spectrum Network

Unmanned Aerial Vehicle (UAV) technology is becoming increasingly used i...

0 Boris Galkin, et al. ∙

∙ 10/02/2020

REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association

Unmanned Aerial Vehicles (UAVs) are emerging as important users of next-...

0 Boris Galkin, et al. ∙

∙ 07/27/2020

Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning

With the increasing number of uav as users of the cellular network, the ...

0 Erika Fonseca, et al. ∙

∙ 03/03/2020

Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach

When Unmanned Aerial Vehicles (UAVs) connect into the cellular network, ...

0 Boris Galkin, et al. ∙

∙ 02/02/2020

Performance Analysis of Mobile Cellular-Connected Drones under Practical Antenna Configurations

Providing seamless connectivity to unmanned aerial vehicle user equipmen...

0 Ramy Amer, et al. ∙

∙ 07/03/2018

UAVs as Mobile Infrastructure: Addressing Battery Lifetime

Unmanned aerial vehicles (UAVs) are expected to play an important role i...

0 Boris Galkin, et al. ∙

∙ 06/29/2018

Impact of UAV Antenna Configuration on Wireless Connectivity in Urban Environments

The growing presence of UAVs has led operators to explore the issue of h...

0 Boris Galkin, et al. ∙

∙ 04/29/2018

A Stochastic Model for UAV Networks Positioned Above Demand Hotspots in Urban Environments

Wireless access points on unmanned aerial vehicles (UAVs) are being cons...

0 Boris Galkin, et al. ∙

∙ 10/30/2017

Backhaul For Low-Altitude UAVs in Urban Environments

Unmanned Aerial Vehicles (UAVs) acting as access points in cellular netw...

0 Boris Galkin, et al. ∙

∙ 10/09/2017

A Stochastic Geometry Model of Backhaul and User Coverage in Urban UAV Networks

Wireless access points on unmanned aerial vehicles (UAVs) are being cons...

0 Boris Galkin, et al. ∙

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