5 papers
Initialization and Rate-Quality Functions for Generative Network Layer Protocols
Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski
Generative AI (GenAI) creates full content based on compact encodings. While GenAI has been used for applications where the generated content is returned to the encoding sender, it…
Leveraging Generative AI for large-scale prediction-based networking
Mathias Thorsager, Israel Leyva-Mayorga, Petar Popovski
The traditional role of the network layer is to create an end-to-end route, through which the intermediate nodes replicate and forward the packets towards the destination. This rol…
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networks
Federico Lozano-Cuadra, Mathias D. Thorsager, Israel Leyva-Mayorga +1
This paper introduces an open source simulator for packet routing in Low Earth Orbit Satellite Constellations (LSatCs) considering the dynamic system uncertainties. The simulator,…
Generative Network Layer for Communication Systems with Artificial Intelligence
Mathias Thorsager, Israel Leyva-Mayorga, Beatriz Soret +1
The traditional role of the network layer is the transfer of packet replicas from source to destination through intermediate network nodes. We present a generative network layer th…
Q-learning for distributed routing in LEO satellite constellations
Beatriz Soret, Israel Leyva-Mayorga, Federico Lozano-Cuadra +1
End-to-end routing in Low Earth Orbit (LEO) satellite constellations (LSatCs) is a complex and dynamic problem. The topology, of finite size, is dynamic and predictable, the traffi…