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2020 – today
- 2023
[j13]Kapal Dev, Yang Xiao, Ursula Challita, Chamitha de Alwis, Maurizio Magarini:
Guest Editorial: Autonomous Networks: Opportunities, Challenges, and Applications. IEEE Commun. Stand. Mag. 7(2): 6-7 (2023)- 2022
- [j12]Kapal Dev, Yang Xiao
, Ursula Challita, Chamitha de Alwis, Maurizio Magarini:
Guest Editorial: Autonomous Networks: Opportunities, Challenges, and Applications. IEEE Commun. Stand. Mag. 6(3): 6-7 (2022) - [j11]Liyana Adilla binti Burhanuddin, Xiaonan Liu, Yansha Deng, Ursula Challita, András Zahemszky:
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning. IEEE Trans. Veh. Technol. 71(5): 5358-5370 (2022) - 2021
- [j10]Syed Ali Raza Zaidi, Jemin Lee, Ursula Challita, Moe Z. Win:
Guest Editorial: Communication Technologies for Robotics and Autonomous Systems. IEEE Commun. Mag. 59(1): 14-15 (2021) - [j9]Woong-Hee Lee, Mustafa Özger, Ursula Challita:
Geometric Sequential Learning Dynamics. IEEE Commun. Lett. 25(2): 542-545 (2021) - [j8]Woong-Hee Lee, Mustafa Özger, Ursula Challita, Ki Won Sung:
Noise Learning-Based Denoising Autoencoder. IEEE Commun. Lett. 25(9): 2983-2987 (2021) - [c8]Ursula Challita, David Sandberg:
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR. ICC 2021: 1-6 - [i12]Woong-Hee Lee, Mustafa Özger, Ursula Challita, Ki Won Sung:
Noise Learning Based Denoising Autoencoder. CoRR abs/2101.07937 (2021) - [i11]Ursula Challita, David Sandberg:
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR. CoRR abs/2102.11176 (2021) - 2020
- [j7]Ursula Challita, Henrik Ryden, Hugo M. Tullberg:
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. IEEE Commun. Mag. 58(6): 12-18 (2020)
2010 – 2019
- 2019
- [j6]Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah:
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial. IEEE Commun. Surv. Tutorials 21(4): 3039-3071 (2019) - [j5]Ursula Challita, Walid Saad, Christian Bettstetter:
Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach. IEEE Trans. Wirel. Commun. 18(4): 2125-2140 (2019) - [j4]Aidin Ferdowsi, Ursula Challita, Walid Saad:
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview. IEEE Veh. Technol. Mag. 14(1): 62-70 (2019) - [j3]Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad:
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs. IEEE Wirel. Commun. 26(1): 28-35 (2019) - [c7]Ursula Challita, Kimmo Hiltunen, Miurel Tercero:
Performance Evaluation for the Co-Existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD. VTC Fall 2019: 1-6 - [i10]Ursula Challita, Kimmo Hiltunen, Miurel Tercero:
Performance Evaluation for the Co-existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD. CoRR abs/1906.00287 (2019) - [i9]Ursula Challita, Henrik A. Ryden, Hugo M. Tullberg:
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications. CoRR abs/1911.03585 (2019) - 2018
- [b1]Ursula Challita:
Distributed algorithms for optimized resource management of LTE in unlicensed spectrum and UAV-enabled wireless networks. University of Edinburgh, UK, 2018 - [j2]Ursula Challita, Li Dong, Walid Saad:
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective. IEEE Trans. Wirel. Commun. 17(7): 4674-4689 (2018) - [c6]Ursula Challita, Walid Saad, Christian Bettstetter:
Deep Reinforcement Learning for Interference-Aware Path Planning of Cellular-Connected UAVs. ICC 2018: 1-7 - [c5]Aidin Ferdowsi, Ursula Challita, Walid Saad, Narayan B. Mandayam:
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems. ITSC 2018: 307-312 - [i8]Ursula Challita, Walid Saad, Christian Bettstetter:
Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management. CoRR abs/1801.05500 (2018) - [i7]Ursula Challita, Aidin Ferdowsi, Mingzhe Chen, Walid Saad:
Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs. CoRR abs/1804.05348 (2018) - [i6]Aidin Ferdowsi, Ursula Challita, Walid Saad, Narayan B. Mandayam:
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems. CoRR abs/1805.00983 (2018) - 2017
- [c4]Ursula Challita, Walid Saad:
Network Formation in the Sky: Unmanned Aerial Vehicles for Multi-Hop Wireless Backhauling. GLOBECOM 2017: 1-6 - [i5]Ursula Challita, Li Dong, Walid Saad:
Proactive Resource Management in LTE-U Systems: A Deep Learning Perspective. CoRR abs/1702.07031 (2017) - [i4]Ursula Challita, Walid Saad:
Network Formation in the Sky: Unmanned Aerial Vehicles for Multi-hop Wireless Backhauling. CoRR abs/1707.09132 (2017) - [i3]Mingzhe Chen, Ursula Challita, Walid Saad, Changchuan Yin, Mérouane Debbah:
Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks. CoRR abs/1710.02913 (2017) - [i2]Aidin Ferdowsi, Ursula Challita, Walid Saad:
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems. CoRR abs/1712.04135 (2017) - 2016
- [j1]Ursula Challita, Zaher Dawy, George Turkiyyah, Joe Naoum-Sawaya:
A chance constrained approach for LTE cellular network planning under uncertainty. Comput. Commun. 73: 34-45 (2016) - [c3]Cengis Hasan, Mahesh K. Marina, Ursula Challita:
On LTE-WiFi coexistence and inter-operator spectrum sharing in unlicensed bands: altruism, cooperation and fairness. MobiHoc 2016: 111-120 - [c2]Ursula Challita, Mahesh K. Marina:
Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands. MSWiM 2016: 166-175 - [i1]Ursula Challita, Mahesh K. Marina:
Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands. CoRR abs/1608.05069 (2016) - 2014
- [c1]Ursula Challita, Lina Al-Kanj, Zaher Dawy:
On LTE cellular network planning under demand uncertainty. WCNC 2014: 2079-2084
Coauthor Index
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