12 citations · 28 across the 15 of their papers we have counts for
5 papers · 1 filter
Towards Quantum-Enabled 6G Slicing
Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard
The quantum machine learning (QML) paradigms and their synergies with network slicing can be envisioned to be a disruptive technology on the cusp of entering to era of sixth-genera…
A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources
Farhad Rezazadeh, Nikolaos Bartzoudis
The prevalence of the Internet of things (IoT) and smart meters devices in smart grids is providing key support for measuring and analyzing the power consumption patterns. This app…
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti +3
Network slicing enables multiple virtual networks to be instantiated and customized to meet heterogeneous use case requirements over 5G and beyond network deployments. However, mos…
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control
Farhad Rezazadeh, Hatim Chergui, Luis Blanco +2
Artificial intelligence (AI)-driven zero-touch massive network slicing is envisioned to be a disruptive technology in beyond 5G (B5G)/6G, where tenancy would be extended to the fin…
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing
Farhad Rezazadeh, Hatim Chergui, Loizos Christofi +1
To harness the full potential of beyond 5G (B5G) communication systems, zero-touch network slicing (NS) is viewed as a promising fully-automated management and orchestration (MANO)…