12 citations · 14 across the 5 of their papers we have counts for
5 papers
LLM-Powered Agentic AI for 5G/6G Networks: A Tutorial and Survey on Architectures, Protocols, and Standardization
Mazene Ameur, Abdelkader Mekrache, Bouziane Brik +1
Agentic Artificial Intelligence (AI), enabled by Large Language Models, marks a shift from rule-based automation toward autonomous, goal-driven control of Next-Generation Networks…
Toward 6G-enabled Brain Computer Interfaces: Technical Requirements, Use Cases, Challenges, and Future Trends
Houda Hafi, Bouziane Brik, Nuraini Jamil +1
Brain computer interface (BCI) enables the brain to directly control an external device by converting neural signals into actionable outputs. However, effective real-time translati…
Federated Learning for Zero-Day Attack Detection in 5G and Beyond V2X Networks
Abdelaziz Amara korba, Abdelwahab Boualouache, Bouziane Brik +3
Deploying Connected and Automated Vehicles (CAVs) on top of 5G and Beyond networks (5GB) makes them vulnerable to increasing vectors of security and privacy attacks. In this contex…
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis +1
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart services and innovative applications. Such a context urges a heavy usage of Machine Learnin…
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
Bouziane Brik, Hatim Chergui, Lanfranco Zanzi +5
The recent O-RAN specifications promote the evolution of RAN architecture by function disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop c…