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Ursula Challita
Ursula Challita
Senior Researcher at Ericsson
Verified email at sms.ed.ac.uk
Title
Cited by
Cited by
Year
Artificial neural networks-based machine learning for wireless networks: A tutorial
M Chen, U Challita, W Saad, C Yin, M Debbah
IEEE Communications Surveys & Tutorials 21 (4), 3039-3071, 2019
5772019
Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks
M Chen, U Challita, W Saad, C Yin, M Debbah
arXiv preprint arXiv:1710.02913 9, 2017
2402017
Interference management for cellular-connected UAVs: A deep reinforcement learning approach
U Challita, W Saad, C Bettstetter
IEEE Transactions on Wireless Communications 18 (4), 2125-2140, 2019
2072019
Proactive resource management for LTE in unlicensed spectrum: A deep learning perspective
U Challita, L Dong, W Saad
IEEE transactions on wireless communications 17 (7), 4674-4689, 2018
1862018
Machine learning for wireless connectivity and security of cellular-connected UAVs
U Challita, A Ferdowsi, M Chen, W Saad
IEEE Wireless Communications 26 (1), 28-35, 2019
1342019
Deep learning for reliable mobile edge analytics in intelligent transportation systems: An overview
A Ferdowsi, U Challita, W Saad
ieee vehicular technology magazine 14 (1), 62-70, 2019
1272019
Deep reinforcement learning for interference-aware path planning of cellular-connected UAVs
U Challita, W Saad, C Bettstetter
2018 IEEE international conference on communications (ICC), 1-7, 2018
1092018
Network formation in the sky: Unmanned aerial vehicles for multi-hop wireless backhauling
U Challita, W Saad
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017
932017
Robust deep reinforcement learning for security and safety in autonomous vehicle systems
A Ferdowsi, U Challita, W Saad, NB Mandayam
2018 21st International Conference on Intelligent Transportation Systems …, 2018
862018
Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management
U Challita, W Saad, C Bettstetter
arXiv preprint arXiv:1801.05500, 2018
732018
Deep learning for proactive resource allocation in LTE-U networks
U Challita, L Dong, W Saad
European wireless technology conference, 2017
332017
When machine learning meets wireless cellular networks: Deployment, challenges, and applications
U Challita, H Ryden, H Tullberg
IEEE Communications Magazine 58 (6), 12-18, 2020
282020
On LTE-WiFi coexistence and inter-operator spectrum sharing in unlicensed bands: Altruism, cooperation and fairness
C Hasan, MK Marina, U Challita
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc …, 2016
282016
Artificial intelligence for wireless connectivity and security of cellular-connected UAVs
U Challita, A Ferdowsi, M Chen, W Saad
arXiv preprint arXiv:1804.05348, 2018
182018
Noise learning-based denoising autoencoder
WH Lee, M Ozger, U Challita, KW Sung
IEEE Communications Letters 25 (9), 2983-2987, 2021
142021
Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands
U Challita, MK Marina
Proceedings of the 19th ACM International Conference on Modeling, Analysis …, 2016
132016
On LTE cellular network planning under demand uncertainty
U Challita, L Al-Kanj, Z Dawy
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2079-2084, 2014
132014
A chance constrained approach for LTE cellular network planning under uncertainty
U Challita, Z Dawy, G Turkiyyah, J Naoum-Sawaya
Computer Communications 73, 34-45, 2016
122016
Deep reinforcement learning for dynamic spectrum sharing of LTE and NR
U Challita, D Sandberg
ICC 2021-IEEE International Conference on Communications, 1-6, 2021
52021
Performance evaluation for the co-existence of eMBB and URLLC networks: Synchronized versus unsynchronized TDD
U Challita, K Hiltunen, M Tercero
2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), 1-6, 2019
52019
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