4 papers
A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications
Farhad Rezazadeh
Algorithmic innovation can unleash the potential of the beyond 5G (B5G)/6G communication systems. Artificial intelligence (AI)-driven zero-touch network slicing is envisaged as a p…
Decentralized Energy Marketplace via NFTs and AI-based Agents
Rasoul Nikbakht, Farhana Javed, Farhad Rezazadeh +2
The paper introduces an advanced Decentralized Energy Marketplace (DEM) integrating blockchain technology and artificial intelligence to manage energy exchanges among smart homes w…
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
Farhad Rezazadeh, Sergio Barrachina-MuNoz, Engin Zeydan +3
The rapid development of artificial intelligence (AI) techniques has triggered a revolution in beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Des…
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy
The complexity of emerging sixth-generation (6G) wireless networks has sparked an upsurge in adopting artificial intelligence (AI) to underpin the challenges in network management…