13 citations · 34 across the 7 of their papers we have counts for
7 papers
Dynamic Frequency Assignment for Mobile Users in Multibeam Satellite Constellations
Guillem Casadesus-Vila, Juan Jose Garau-Luis, Nils Pachler +2
Mobile users such as airplanes or ships will constitute an important segment of the future satellite communications market. Operators are now able to leverage digital payloads that…
Frequency Plan Design for Multibeam Satellite Constellations Using Linear Programming
Juan Jose Garau-Luis, Sergi Aliaga, Guillem Casadesus +3
Upcoming large satellite constellations and the advent of tighter steerable beams will offer unprecedented flexibility. This new flexibility will require resource management strate…
Towards Autonomous Satellite Communications: An AI-based Framework to Address System-level Challenges
Juan Jose Garau-Luis, Skylar Eiskowitz, Nils Pachler +2
The next generation of satellite constellations is designed to better address the future needs of our connected society: highly-variable data demand, mobile connectivity, and reach…
Integrating LSTMs and GNNs for COVID-19 Forecasting
Nathan Sesti, Juan Jose Garau-Luis, Edward Crawley +1
The spread of COVID-19 has coincided with the rise of Graph Neural Networks (GNNs), leading to several studies proposing their use to better forecast the evolution of the pandemic.…
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research
Juan Jose Garau-Luis, Edward Crawley, Bruce Cameron
Deep Reinforcement Learning (DRL) is considered a potential framework to improve many real-world autonomous systems; it has attracted the attention of multiple and diverse fields.…
Applicability and Challenges of Deep Reinforcement Learning for Satellite Frequency Plan Design
Juan Jose Garau Luis, Edward Crawley, Bruce Cameron
The study and benchmarking of Deep Reinforcement Learning (DRL) models has become a trend in many industries, including aerospace engineering and communications. Recent studies in…