10 papers
How Small Can 6G Reason? Scaling Tiny-to-Small Language Models for AI-Native Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Emerging 6G visions, reflected in ongoing standardization efforts within 3GPP, IETF, ETSI, ITU-T, and the O-RAN Alliance, increasingly characterize networks as AI-native systems in…
LIDSA: Cognitive Arbitration for Signal-Free Autonomous Intersection Management
Abderrahmane Lakas, Mohamed Amine Ferrag, Merouane Debbah
Large language models (LLMs) show strong potential for Intelligent Transportation Systems (ITS), particularly in tasks requiring situational reasoning and multi-agent coordination.…
6G Needs Agents: Toward Agentic AI-Native Networks for Autonomous Intelligence
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Sixth-generation (6G) networks are increasingly envisioned as AI-native infrastructures integrating communication, sensing, and computing into a unified fabric. However, existing a…
6G-Bench: An Open Benchmark for Semantic Communication and Network-Level Reasoning with Foundation Models in AI-Native 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
This paper introduces 6G-Bench, an open benchmark for evaluating semantic communication and network-level reasoning in AI-native 6G networks. 6G-Bench defines a taxonomy of 30 deci…
-SecBench: A Large-Scale Evaluation Suite of Security, Resilience, and Trust for LLM-based UAV Agents over 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Autonomous unmanned aerial vehicle (UAV) systems are increasingly deployed in safety-critical, networked environments where they must operate reliably in the presence of malicious…
AgentDrive: An Open Benchmark Dataset for Agentic AI Reasoning with LLM-Generated Scenarios in Autonomous Systems
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
The rapid advancement of large language models (LLMs) has sparked growing interest in their integration into autonomous systems for reasoning-driven perception, planning, and decis…