Ursula Challita
Ursula Challita
Senior Researcher at Ericsson
Verified email at
Cited by
Cited by
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
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
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
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
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
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
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
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
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
Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management
U Challita, W Saad, C Bettstetter
arXiv preprint arXiv:1801.05500, 2018
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
Noise learning-based denoising autoencoder
WH Lee, M Ozger, U Challita, KW Sung
IEEE Communications Letters 25 (9), 2983-2987, 2021
Deep learning for proactive resource allocation in LTE-U networks
U Challita, L Dong, W Saad
European wireless technology conference, 2017
QoE optimization for live video streaming in UAV-to-UAV communications via deep reinforcement learning
LA binti Burhanuddin, X Liu, Y Deng, U Challita, A Zahemszky
IEEE Transactions on Vehicular Technology 71 (5), 5358-5370, 2022
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
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
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
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
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
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
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