Ursula Challita

Orcid: 0000-0002-6625-1529

According to our database1, Ursula Challita authored at least 26 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Guest Editorial: Autonomous Networks: Opportunities, Challenges, and Applications.
IEEE Commun. Stand. Mag., June, 2023

2022
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning.
IEEE Trans. Veh. Technol., 2022

2021
Noise Learning-Based Denoising Autoencoder.
IEEE Commun. Lett., 2021

Geometric Sequential Learning Dynamics.
IEEE Commun. Lett., 2021

Guest Editorial: Communication Technologies for Robotics and Autonomous Systems.
IEEE Commun. Mag., 2021

Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR.
Proceedings of the ICC 2021, 2021

2020
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications.
IEEE Commun. Mag., 2020

2019
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs.
IEEE Wirel. Commun., 2019

Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems: An Overview.
IEEE Veh. Technol. Mag., 2019

Interference Management for Cellular-Connected UAVs: A Deep Reinforcement Learning Approach.
IEEE Trans. Wirel. Commun., 2019

Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial.
IEEE Commun. Surv. Tutorials, 2019

Performance Evaluation for the Co-Existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Distributed algorithms for optimized resource management of LTE in unlicensed spectrum and UAV-enabled wireless networks.
PhD thesis, 2018

Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective.
IEEE Trans. Wirel. Commun., 2018

Artificial Intelligence for Wireless Connectivity and Security of Cellular-Connected UAVs.
CoRR, 2018

Cellular-Connected UAVs over 5G: Deep Reinforcement Learning for Interference Management.
CoRR, 2018

Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Deep Reinforcement Learning for Interference-Aware Path Planning of Cellular-Connected UAVs.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

2017
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems.
CoRR, 2017

Machine Learning for Wireless Networks with Artificial Intelligence: A Tutorial on Neural Networks.
CoRR, 2017

Proactive Resource Management in LTE-U Systems: A Deep Learning Perspective.
CoRR, 2017

Network Formation in the Sky: Unmanned Aerial Vehicles for Multi-Hop Wireless Backhauling.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
A chance constrained approach for LTE cellular network planning under uncertainty.
Comput. Commun., 2016

Holistic Small Cell Traffic Balancing across Licensed and Unlicensed Bands.
Proceedings of the 19th ACM International Conference on Modeling, 2016

On LTE-WiFi coexistence and inter-operator spectrum sharing in unlicensed bands: altruism, cooperation and fairness.
Proceedings of the 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2016

2014
On LTE cellular network planning under demand uncertainty.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014


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