1 citations · 1 across the 13 of their papers we have counts for
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A Self-Calibrating Agentic AI Framework for Autonomous Edge Resource Allocation
Fin Gentzen, Marla Grunewald, Iulisloi Zacarias +2
Large Language Models (LLMs) are increasingly deployed as autonomous agents, transitioning from static conversational interfaces to dynamic systems capable of complex reasoning, to…
Maximum Achievable Burst Size in All-Optical Satellite Networks
Thomas Roethig, Sleman Mouammar, Ítalo Brasileiro +2
We analyze the maximum burst size achievable in all-optical satellite networks across different constellations. With a 100 Gbps uplink capacity, a WDM-based optical burst switching…
Enhancing Secure Intent-Based Networking with an Agentic AI: The EU Project MARE Approach
Iulisloi Zacarias, Marla Grunewald, Fin Gentzen +2
In the EU project MARE, a novel plane was proposed and used in combination with intent-based networking (IBN), allowing the operator to focus on what, rather than on how. Recently,…
Efficient Self-Learning and Model Versioning for AI-native O-RAN Edge
Mounir Bensalem, Fin Gentzen, Tuck-Wai Choong +3
The AI-native vision of 6G requires Radio Access Networks to train, deploy, and continuously refine thousands of machine learning (ML) models that drive real-time radio network opt…