Farhad Rezazadeh

According to our database, Farhad Rezazadeh authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Novel Approach for Scalable and Sustainable 6G Networks.

Luis Blanco, Engin Zeydan, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues-Bafalluy

IEEE Open J. Commun. Soc., 2024

A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications.

Farhad Rezazadeh

CoRR, 2024

2023

AI-Driven Framework for Scalable Management of Network Slices.

Luis Blanco, Slawomir Kuklinski, Engin Zeydan, Farhad Rezazadeh, Ashima Chawla, Lanfranco Zanzi, Francesco Devoti, Robert Kolakowski, Vasiliki Vlahodimitropoulou, Ioannis P. Chochliouros, Anne-Marie Bosneag, Sihem Cherrared, Luis A. Garrido, Sergio Barrachina-Muñoz, Josep Mangues

IEEE Commun. Mag., November, 2023

On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration.

Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis

IEEE Trans. Veh. Technol., March, 2023

SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services.

Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis

IEEE Trans. Intell. Transp. Syst., 2023

Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing.

Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis

CoRR, 2023

Decentralized Energy Marketplace via NFTs and AI-based Agents.

Rasoul Nikbakht, Farhana Javed, Farhad Rezazadeh, Nikolaos G. Bartzoudis, Josep Mangues-Bafalluy

CoRR, 2023

SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks.

Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis

CoRR, 2023

X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks.

Farhad Rezazadeh, Sergio Barrachina-Muñoz, Engin Zeydan, Houbing Song, K. P. Subbalakshmi, Josep Mangues-Bafalluy

Proceedings of the IEEE Conference on Network Function Virtualization and Software Defined Networks, 2023

A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN.

Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy

Proceedings of the IEEE INFOCOM 2023, 2023

Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing.

Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis

Proceedings of the IEEE International Conference on Communications, 2023

Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing.

Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy

Proceedings of the IEEE International Conference on Communications, 2023

Cloud Native Federated Learning for Streaming: An Experimental Demonstrator.

Sergio Barrachina-Muñoz, Engin Zeydan, Luis Blanco, Luca Vettori, Farhad Rezazadeh, Josep Mangues-Bafalluy

Proceedings of the 24th IEEE International Conference on High Performance Switching and Routing, 2023

A Marketplace Solution for Distributed Network Management and Orchestration of Slices.

Engin Zeydan, Luis Blanco, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues

Proceedings of the 19th International Conference on Network and Service Management, 2023

2022

Towards Quantum-Enabled 6G Slicing.

Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard

CoRR, 2022

A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources.

Farhad Rezazadeh, Nikolaos G. Bartzoudis

Proceedings of the 27th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2022

2021

Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning.

Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis

CoRR, 2021

Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing.

Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis

Proceedings of the ICC 2021, 2021

A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control.

Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2021

2020

Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym.

Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis

Proceedings of the IEEE Global Communications Conference, 2020