Ursula Challita
Ursula Challita
Senior Researcher at Ericsson
Verified email at sms.ed.ac.uk
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
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
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
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
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
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 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
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
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
Cellular-connected UAVs over 5G: Deep reinforcement learning for interference management
U Challita, W Saad, C Bettstetter
arXiv preprint arXiv:1801.05500, 2018
Deep learning for proactive resource allocation in LTE-U networks
U Challita, L Dong, W Saad
European wireless technology conference, 2017
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
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
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
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
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
Noise Learning Based Denoising Autoencoder
WH Lee, M Ozger, U Challita, KW Sung
arXiv preprint arXiv:2101.07937, 2021
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
On the coherent precoding performance for downlink CoMP-MIMO networks
A Haskou, Y Jaffal, U Challita, Y Nasser
MELECON 2014-2014 17th IEEE Mediterranean Electrotechnical Conference, 344-349, 2014
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