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Boris Galkin
Boris Galkin
Senior Researcher, Tyndall National Institute, Ireland
在 tyndall.ie 的电子邮件经过验证
标题
引用次数
引用次数
年份
UAVs as mobile infrastructure: Addressing battery lifetime
B Galkin, J Kibilda, LA DaSilva
IEEE Communications Magazine 57 (6), 132-137, 2019
1762019
Deployment of UAV-mounted access points according to spatial user locations in two-tier cellular networks
B Galkin, J Kibilda, LA DaSilva
2016 Wireless Days (WD), 1-6, 2016
1592016
Coverage analysis for low-altitude UAV networks in urban environments
B Galkin, J Kibilda, LA DaSilva
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
1182017
A stochastic model for UAV networks positioned above demand hotspots in urban environments
B Galkin, J Kibiłda, LA DaSilva
IEEE Transactions on Vehicular Technology 68 (7), 6985-6996, 2019
1012019
Backhaul for low-altitude UAVs in urban environments
B Galkin, J Kibilda, LA DaSilva
2018 IEEE International Conference on Communications (ICC), 1-6, 2018
892018
Performance analysis of mobile cellular-connected drones under practical antenna configurations
R Amer, W Saad, B Galkin, N Marchetti
ICC 2020-2020 IEEE international conference on communications (ICC), 1-7, 2020
572020
Modelling multi-operator base station deployment patterns in cellular networks
J Kibiłda, B Galkin, LA DaSilva
IEEE Transactions on Mobile Computing 15 (12), 3087-3099, 2015
442015
A stochastic geometry model of backhaul and user coverage in urban UAV networks
B Galkin, J Kibiłda, LA DaSilva
arXiv preprint arXiv:1710.03701, 2017
362017
REQIBA: Regression and deep Q-learning for intelligent UAV cellular user to base station association
B Galkin, E Fonseca, R Amer, LA DaSilva, I Dusparic
IEEE Transactions on Vehicular Technology 71 (1), 5-20, 2021
302021
Optimizing energy efficiency in UAV-assisted networks using deep reinforcement learning
B Omoniwa, B Galkin, I Dusparic
IEEE Wireless Communications Letters 11 (8), 1590-1594, 2022
242022
Energy-aware optimization of UAV base stations placement via decentralized multi-agent Q-learning
B Omoniwa, B Galkin, I Dusparic
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022
18*2022
Intelligent Base Station Association for UAV Cellular Users: A Supervised Learning Approach
B Galkin, R Amer, E Fonseca, LA DaSilva
IEEE 5G World Forum, 2020
182020
Mobility for cellular-connected UAVs: Challenges for the network provider
E Fonseca, B Galkin, M Kelly, LA DaSilva, I Dusparic
2021 Joint European Conference on Networks and Communications & 6G Summit …, 2021
152021
Multi-agent deep reinforcement learning for optimising energy efficiency of fixed-wing UAV cellular access points
B Galkin, B Omoniwa, I Dusparic
ICC 2022-IEEE International Conference on Communications, 1-6, 2022
112022
Experimental evaluation of a UAV user QoS from a two-tier 3.6 GHz spectrum network
B Galkin, E Fonseca, G Lee, C Duff, M Kelly, E Emmanuel, I Dusparic
2021 IEEE International Conference on Communications Workshops (ICC …, 2021
102021
Deep reinforcement learning for combined coverage and resource allocation in uav-aided ran-slicing
L Bellone, B Galkin, E Traversi, E Natalizio
2023 19th International Conference on Distributed Computing in Smart Systems …, 2023
62023
Impact of UAV antenna configuration on wireless connectivity in urban environments
B Galkin, J Kibiłda, LA DaSilva
arXiv preprint arXiv:1807.00696, 2018
62018
Communication-enabled deep reinforcement learning to optimise energy-efficiency in UAV-assisted networks
B Omoniwa, B Galkin, I Dusparic
Vehicular Communications 43, 100640, 2023
52023
Adaptive height optimization for cellular-connected UAVs: A deep reinforcement learning approach
E Fonseca, B Galkin, R Amer, LA DaSilva, I Dusparic
IEEE Access 11, 5966-5980, 2023
52023
On the Performance of Mobile Cellular-Connected Drones Under Practical Antenna Configurations
R Amer, M Baza, B Galkin, A Alourani, N Marchetti
IEEE Transactions on Vehicular Technology 71 (7), 7548-7560, 2022
52022
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