Boris Galkin
Orcid: 0000-0002-6755-7781
According to our database1,
Boris Galkin
authored at least 32 papers
between 2014 and 2024.
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Bibliography
2024
IEEE Trans. Veh. Technol., August, 2024
Experimental Evaluation of a Low-Cost UAV-based System For Locating Ground Transmitters.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
2023
Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks.
Veh. Commun., October, 2023
Adaptive Height Optimization for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach.
IEEE Access, 2023
Density-Aware Reinforcement Learning to Optimise Energy Efficiency in UAV-Assisted Networks.
Proceedings of the 19th International Conference on Wireless and Mobile Computing, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Deep Reinforcement Learning for Combined Coverage and Resource Allocation in UAV-Aided RAN-Slicing.
Proceedings of the 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, 2023
2022
Optimizing Energy Efficiency in UAV-Assisted Networks Using Deep Reinforcement Learning.
IEEE Wirel. Commun. Lett., 2022
REQIBA: Regression and Deep Q-Learning for Intelligent UAV Cellular User to Base Station Association.
IEEE Trans. Veh. Technol., 2022
On the Performance of Mobile Cellular-Connected Drones Under Practical Antenna Configurations.
IEEE Trans. Veh. Technol., 2022
Communication-Enabled Multi-Agent Decentralised Deep Reinforcement Learning to Optimise Energy-Efficiency in UAV-Assisted Networks.
CoRR, 2022
Optimising Energy Efficiency in UAV-Assisted Networks using Deep Reinforcement Learning.
CoRR, 2022
Multi-Agent Deep Reinforcement Learning For Optimising Energy Efficiency of Fixed-Wing UAV Cellular Access Points.
Proceedings of the IEEE International Conference on Communications, 2022
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning.
Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022
2021
Energy-aware placement optimization of UAV base stations via decentralized multi-agent Q-learning.
CoRR, 2021
Proceedings of the IEEE International Conference on Communications Workshops, 2021
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021
2020
Adaptive Height Optimisation for Cellular-Connected UAVs using Reinforcement Learning.
CoRR, 2020
Intelligent UAV Base Station Selection in Urban Environments: A Supervised Learning Approach.
CoRR, 2020
Performance Analysis of Mobile Cellular-Connected Drones under Practical Antenna Configurations.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach.
Proceedings of the 3rd IEEE 5G World Forum, 2020
2019
A Stochastic Model for UAV Networks Positioned Above Demand Hotspots in Urban Environments.
IEEE Trans. Veh. Technol., 2019
2018
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
CoRR, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
IEEE Trans. Mob. Comput., 2016
Deployment of UAV-mounted access points according to spatial user locations in two-tier cellular networks.
Proceedings of the 2016 Wireless Days, 2016
2015
Proceedings of the 20th IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks, 2015
2014
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014