11 papers
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, Ãtalo 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…
Optimizing Split Learning Latency in TinyML-Based IoT Systems
Zied Jenhani, Mounir Bensalem, Jasenka DizdareviÄ +1
Split learning (SL) addresses the limitation of running deep learning inference directly on low-power edge/IoT nodes, in which it executes part of the inference process on the sens…
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…
A Cross-Layer Analysis of Network Antifragility with RIS-assisted Links under Jamming Attacks
Mounir Bensalem, Thomas Röthig, Admela Jukan
Antifragility is an economics term defined as measure of (monetary) benefits gained from the adverse events and variability of the markets. This paper integrates for the first time…