25 citations · 36 across the 4 of their papers we have counts for
7 papers
Deep Reinforcement Learning for Dynamic Spectrum Sharing of LTE and NR
Ursula Challita, David Sandberg
In this paper, a proactive dynamic spectrum sharing scheme between 4G and 5G systems is proposed. In particular, a controller decides on the resource split between NR and LTE every…
QoE Optimization for Live Video Streaming in UAV-to-UAV Communications via Deep Reinforcement Learning
Liyana Adilla binti Burhanuddin, Xiaonan Liu, Yansha Deng +2
A challenge for rescue teams when fighting against wildfire in remote areas is the lack of information, such as the size and images of fire areas. As such, live streaming from Unma…
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications
Ursula Challita, Henrik A. Ryden, Hugo Tullberg
Artificial intelligence (AI) powered wireless networks promise to revolutionize the conventional operation and structure of current networks from network design to infrastructure m…
Performance Evaluation for the Co-existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD
Ursula Challita, Kimmo Hiltunen, Miurel Tercero
To ensure the high level of automation required in today's industrial applications, next-generation wireless networks must enable real-time control and automation of dynamic proces…
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs
Ursula Challita, Aidin Ferdowsi, Mingzhe Chen +1
Cellular-connected unmanned aerial vehicles (UAVs) will inevitably be integrated into future cellular networks as new aerial mobile users. Providing cellular connectivity to UAVs w…
Deep Learning for Reliable Mobile Edge Analytics in Intelligent Transportation Systems
Aidin Ferdowsi, Ursula Challita, Walid Saad
Intelligent transportation systems (ITSs) will be a major component of tomorrow's smart cities. However, realizing the true potential of ITSs requires ultra-low latency and reliabl…