Farhad Rezazadeh

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Multi Agents Systems

Reinforcement Learning

Network Management

Top Venues

Publications

Farhad Rezazadeh
A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications. CoRR (2024)
Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, Josep Mangues, Mehdi Bennis, Dusit Niyato, Houbing Song, Lingjia Liu
Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. CoRR (2024)
Luis Blanco, Engin Zeydan, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues-Bafalluy
A Novel Approach for Scalable and Sustainable 6G Networks. IEEE Open J. Commun. Soc. 5 (2024)
Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis
Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. CoRR (2023)
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. CoRR (2023)
Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. ICC (2023)
Rasoul Nikbakht, Farhana Javed, Farhad Rezazadeh, Nikolaos G. Bartzoudis, Josep Mangues-Bafalluy
Decentralized Energy Marketplace via NFTs and AI-based Agents. CoRR (2023)
Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. CoRR (2023)
Farhad Rezazadeh, Sergio Barrachina-Muñoz, Engin Zeydan, Houbing Song, K. P. Subbalakshmi, Josep Mangues-Bafalluy
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks. NFV-SDN (2023)
Engin Zeydan, Luis Blanco, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues
A Marketplace Solution for Distributed Network Management and Orchestration of Slices. CNSM (2023)
Farhad Rezazadeh, Sergio Barrachina-Muñoz, Engin Zeydan, Houbing Song, K. P. Subbalakshmi, Josep Mangues-Bafalluy
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks. CoRR (2023)
Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. CoRR (2023)
Sergio Barrachina-Muñoz, Engin Zeydan, Luis Blanco, Luca Vettori, Farhad Rezazadeh, Josep Mangues-Bafalluy
Cloud Native Federated Learning for Streaming: An Experimental Demonstrator. HPSR (2023)
Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. CoRR (2023)
Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. IEEE Trans. Intell. Transp. Syst. 24 (7) (2023)
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
AI-Driven Framework for Scalable Management of Network Slices. IEEE Commun. Mag. 61 (11) (2023)
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. INFOCOM Workshops (2023)
Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. ICC Workshops (2023)
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. IEEE Trans. Veh. Technol. 72 (3) (2023)
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos Verikoukis
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. CoRR (2022)
Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard
Towards Quantum-Enabled 6G Slicing. CoRR (2022)
Farhad Rezazadeh, Nikolaos G. Bartzoudis
A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources. CoRR (2022)
Farhad Rezazadeh, Nikolaos G. Bartzoudis
A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources. CAMAD (2022)
Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. CoRR (2022)
Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. CoRR (2022)
Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis
Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. ICC (2021)
Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. GLOBECOM (2021)
Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning. CoRR (2021)
Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. CoRR (2021)
Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. GLOBECOM (2020)