464 citations · 702 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
Artificial Neural Networks-Based Machine Learning for Wireless Networks: A Tutorial
Mingzhe Chen, Ursula Challita, Walid Saad +2
Next-generation wireless networks must support ultra-reliable, low-latency communication and intelligently manage a massive number of Internet of Things (IoT) devices in real-time,…
Network Formation in the Sky: Unmanned Aerial Vehicles for Multi-hop Wireless Backhauling
Ursula Challita, Walid Saad
To reap the benefits of dense small base station (SBS) deployment, innovative backhaul solutions are needed in order to manage scenarios in which high-speed ground backhaul links a…
Proactive Resource Management for LTE in Unlicensed Spectrum: A Deep Learning Perspective
Ursula Challita, Li Dong, Walid Saad
LTE in unlicensed spectrum using licensed assisted access LTE (LTE-LAA) is a promising approach to overcome the wireless spectrum scarcity. However, to reap the benefits of LTE-LAA…