Farhad Rezazadeh

50 papers B 4C 1Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LiQSS: Post-Transformer Linear Quantum-Inspired State-Space Tensor Networks for Real-Time 6G. CoRR Farhad Rezazadeh, Hatim Chergui, Mehdi Bennis, Houbing Song, Lingjia Liu, Dusit Niyato, Mérouane Debbah
2025	J	`jnl`	A Tutorial on Cognitive Biases in Agentic AI-Driven 6G Autonomous Networks. CoRR Hatim Chergui, Farhad Rezazadeh, Mérouane Debbah, Christos V. Verikoukis
2025	—	`conf`	AI-Powered Data Synthesis for Advanced Simulation in 5G/6G mmWave Integrated Access and Backhaul Networks. WONS Amir Ashtari Gargari, Farhad Rezazadeh, Marco Giordani, Sandra Lagén, Lingjia Liu, Andra Lutu, Michele Zorzi
2025	J	`jnl`	Agentic World Modeling for 6G: Near-Real-Time Generative State-Space Reasoning. CoRR Farhad Rezazadeh, Hatim Chergui, Mérouane Debbah, Houbing Song, Dusit Niyato, Lingjia Liu
2025	J	`jnl`	An Experimental Reservoir-Augmented Foundation Model: 6G O-RAN Case Study. CoRR Farhad Rezazadeh, Raymond Zhao, Jiongyu Dai, Amir Ashtari Gargari, Hatim Chergui, Lingjia Liu
2025	J	`jnl`	Digital Co-Founders: Transforming Imagination into Viable Solo Business via Agentic AI. CoRR Farhad Rezazadeh, Pegah Bonehgazy
2025	J	`jnl`	LLM-Based Agentic Negotiation for 6G: Addressing Uncertainty Neglect and Tail-Event Risk. CoRR Hatim Chergui, Farhad Rezazadeh, Mehdi Bennis, Mérouane Debbah
2025	B	`conf`	Learning Low-Dimensional Representation for O-RAN Testing via Transformer-ESN. MASS Jiongyu Dai, Raymond Zhao, Farhad Rezazadeh, Lizhong Zheng, Haining Wang, Lingjia Liu
2025	J	`jnl`	Rivaling Transformers: Multi-Scale Structured State-Space Mixtures for Agentic 6G O-RAN. CoRR Farhad Rezazadeh, Hatim Chergui, Mérouane Debbah, Houbing Song, Dusit Niyato, Lingjia Liu
2025	—	`conf`	Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration. MeditCom Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén, Houbing Song, Dusit Niyato, Lingjia Liu
2025	J	`jnl`	Toward Generative 6G Simulation: An Experimental Multi-Agent LLM and ns-3 Integration. CoRR Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén, Houbing Song, Dusit Niyato, Lingjia Liu
2025	—	`conf`	Towards Cloud-Native Agentic Protocol Learning for Conflict-Free 6G: A Case Study on Inter-Slice Resource Allocation. EuCNC/6G Summit Juan Sebastian Camargo, Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Lingjia Liu
2025	J	`jnl`	Towards Cloud-Native Agentic Protocol Learning for Conflict-Free 6G: A Case Study on Inter-Slice Resource Allocation. CoRR Juan Sebastian Camargo, Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Lingjia Liu
2024	J	`jnl`	A Mathematical Introduction to Deep Reinforcement Learning for 5G/6G Applications. CoRR Farhad Rezazadeh
2024	J	`jnl`	A Novel Approach for Scalable and Sustainable 6G Networks. IEEE Open J. Commun. Soc. Luis Blanco, Engin Zeydan, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues-Bafalluy
2024	J	`jnl`	Demo: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3 (GenOnet). CoRR Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén, Josep Mangues, Dusit Niyato, Lingjia Liu
2024	J	`jnl`	Empowering Beyond 5G Networks: An Experimental Assessment of Zero-Touch Management and Orchestration. IEEE Access Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luis Blanco, Slawomir Kuklinski, Engin Zeydan, Ashima Chawla, Lanfranco Zanzi, Francesco Devoti, Vasiliki Vlahodimitropoulou, Ioannis P. Chochliouros, Anne-Marie Bosneag, Sihem Cherrared, Luca Vettori, Josep Mangues-Bafalluy
2024	—	`conf`	GenOnet: Generative Open xG Network Simulation with Multi-Agent LLM and ns-3. 6GNet Farhad Rezazadeh, Amir Ashtari Gargari, Sandra Lagén, Josep Mangues-Bafalluy, Dusit Niyato, Lingjia Liu
2024	J	`jnl`	Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. IEEE Wirel. Commun. Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis
2024	—	`—`	Lifelong AI-driven zero-touch network slicing Farhad Rezazadeh
2024	J	`jnl`	SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. IEEE Wirel. Commun. Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
2024	J	`jnl`	Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. CoRR Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, Josep Mangues, Mehdi Bennis, Dusit Niyato, Houbing Song, Lingjia Liu
2024	J	`jnl`	Toward Explainable Reasoning in 6G: A Proof of Concept Study on Radio Resource Allocation. IEEE Open J. Commun. Soc. Farhad Rezazadeh, Sergio Barrachina-Muñoz, Hatim Chergui, Josep Mangues, Mehdi Bennis, Dusit Niyato, Houbing Song, Lingjia Liu
2023	B	`conf`	A Marketplace Solution for Distributed Network Management and Orchestration of Slices. CNSM Engin Zeydan, Luis Blanco, Sergio Barrachina-Muñoz, Farhad Rezazadeh, Luca Vettori, Josep Mangues
2023	—	`conf`	A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. INFOCOM Workshops Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy
2023	J	`jnl`	A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN. CoRR Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Sergio Barrachina-Muñoz, Engin Zeydan, Xavier Costa-Pérez, Josep Mangues-Bafalluy
2023	J	`jnl`	AI-Driven Framework for Scalable Management of Network Slices. IEEE Commun. Mag. 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
2023	C	`conf`	Cloud Native Federated Learning for Streaming: An Experimental Demonstrator. HPSR Sergio Barrachina-Muñoz, Engin Zeydan, Luis Blanco, Luca Vettori, Farhad Rezazadeh, Josep Mangues-Bafalluy
2023	J	`jnl`	Decentralized Energy Marketplace via NFTs and AI-based Agents. CoRR Rasoul Nikbakht, Farhana Javed, Farhad Rezazadeh, Nikolaos G. Bartzoudis, Josep Mangues-Bafalluy
2023	—	`conf`	Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. ICC Workshops Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy
2023	J	`jnl`	Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing. CoRR Farhad Rezazadeh, Hatim Chergui, Josep Mangues-Bafalluy
2023	J	`jnl`	Intelligible Protocol Learning for Resource Allocation in 6G O-RAN Slicing. CoRR Farhad Rezazadeh, Hatim Chergui, Shuaib Siddiqui, Josep Mangues, Houbing Song, Walid Saad, Mehdi Bennis
2023	—	`conf`	Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. ICC Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
2023	J	`jnl`	Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing. CoRR Swastika Roy, Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
2023	J	`jnl`	On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. IEEE Trans. Veh. Technol. Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis
2023	J	`jnl`	SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services. IEEE Trans. Intell. Transp. Syst. Anestis Dalgkitsis, Luis A. Garrido, Farhad Rezazadeh, Hatim Chergui, Kostas Ramantas, John S. Vardakas, Christos V. Verikoukis
2023	J	`jnl`	SliceOps: Explainable MLOps for Streamlined Automation-Native 6G Networks. CoRR Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
2023	—	`conf`	X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks. NFV-SDN Farhad Rezazadeh, Sergio Barrachina-Muñoz, Engin Zeydan, Houbing Song, K. P. Subbalakshmi, Josep Mangues-Bafalluy
2023	J	`jnl`	X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks. CoRR Farhad Rezazadeh, Sergio Barrachina-Muñoz, Engin Zeydan, Houbing Song, K. P. Subbalakshmi, Josep Mangues-Bafalluy
2022	J	`jnl`	A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. CoRR Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis
2022	—	`conf`	A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources. CAMAD Farhad Rezazadeh, Nikolaos G. Bartzoudis
2022	J	`jnl`	A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources. CoRR Farhad Rezazadeh, Nikolaos G. Bartzoudis
2022	J	`jnl`	Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. CoRR Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis
2022	J	`jnl`	On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration. CoRR Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti, Hatim Chergui, Xavier Costa-Pérez, Christos V. Verikoukis
2022	J	`jnl`	Towards Quantum-Enabled 6G Slicing. CoRR Farhad Rezazadeh, Sarang Kahvazadeh, Mohammadreza Mosahebfard
2021	B	`conf`	A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control. GLOBECOM Farhad Rezazadeh, Hatim Chergui, Luis Blanco, Luis Alonso, Christos V. Verikoukis
2021	—	`conf`	Actor-Critic-Based Learning for Zero-touch Joint Resource and Energy Control in Network Slicing. ICC Farhad Rezazadeh, Hatim Chergui, Loizos Christofi, Christos V. Verikoukis
2021	J	`jnl`	Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. CoRR Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis
2021	J	`jnl`	Zero-touch Continuous Network Slicing Control via Scalable Actor-Critic Learning. CoRR Farhad Rezazadeh, Hatim Chergui, Christos V. Verikoukis
2020	B	`conf`	Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym. GLOBECOM Farhad Rezazadeh, Hatim Chergui, Luis Alonso, Christos V. Verikoukis