83 citations · 250 across the 18 of their papers we have counts for
8 papers · 1 filter
PhysAI-Bench: A Benchmark for LLM-Based Agentic Decision-Making in Autonomous UAV-Centric Physical AI
Mohamed Amine Ferrag, Merouane Debbah, Abderrahmane Lakas +2
Recent advances in Physical AI have accelerated the use of foundation models in autonomous systems such as unmanned aerial vehicles (UAVs), which must perceive, reason, plan, and a…
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…
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…
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…
-Bench: A Unified Benchmark of Safety, Robustness, and Efficiency for LLM-Based UAV Agents over 6G Networks
Mohamed Amine Ferrag, Abderrahmane Lakas, Merouane Debbah
Large Language Models (LLMs) are increasingly used as high level controllers for autonomous Unmanned Aerial Vehicle (UAV) missions. However, existing evaluations rarely assess whet…