Farhad Rezazadeh

Farhad Rezazadeh | CTTC

Services as Networks (SaS)

Phd , Researcher

Phone: +34 93 645 29 00

Dr. Farhad Rezazadeh received the Ph.D. degree (Excellent Cum Laude) in Signal Theory and Communications from Technical University of Catalonia (UPC), Barcelona, Spain. He is currently an R&D engineer at the Telecommunications Technological Center of Catalonia (CTTC), Barcelona, Spain. He participated in 8 European and National 5G/B5G/6G R&D projects with leading and technical tasks in the areas of Applied AI and XAI. His AI innovation in B5G/6G resource allocation was recognized as a great EU-funded Innovation by the European Commission’s Innovation Radar. He was awarded the first patent connected to the H2020 5G-SOLUTIONS project. He was a secondee at NEC Lab Europe and had scientific missions at Technical University of Munich (TUM), Hamburg University of Technology (TUHH), and Universitat de Girona (UdG). He is a Marie Skłodowska-Curie Ph.D. grantee and won 5 different IEEE/IEEE ComSoc grants, 2 European Cooperation in Science and Technology grants, and Catalan Government Ph.D. Grant. He is an active member of IEEE Young Professionals and IEEE Spain – Technical Activities and Standards with more than 25 top-tier journals and conferences. He serves as Organizing, Chair, Reviewer, and TPC member in IEEE and Guest Editor in Elsevier.

A Novel Approach for Scalable and Sustainable 6G Networks
Ieee Open Journal Of The Communications Society. pp. 1-1 January 2024.
Blanco L., Zeydan E., Barrachina-Munoz S., Rezazadeh F., Vettori L., Mangues-Bafalluy J.
10.1109/OJCOMS.2024.3372426 Google Scholar
On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. Vol. 72. No. 3. pp. 3473-3487 March 2023.
Rezazadeh F., Zanzi L., Devoti F., Chergui H., Costa-Perez X., Verikoukis C.
10.1109/TVT.2022.3218158 Google Scholar
SCHE2MA: Scalable, Energy-Aware, Multidomain Orchestration for Beyond-5G URLLC Services
Dalgkitsis A., Garrido L.A., Rezazadeh F., Chergui H., Ramantas K., Vardakas J.S., Verikoukis C.
10.1109/TITS.2022.3202312 Google Scholar
Towards natively intelligent networks
Towards Sustainable And Trustworthy 6g: Challenges, Enablers, And Architectural Design. pp. 159-232 January 2023.
Gramaglia M., Li X., García-Aviles G., Alcaraz-Calero J.M., Antti A., Araújo M., Barbosa R., Barmpounakis S., Barrachina-Muñoz S., Bassoli R., Bernini G., Blanco L., Bosneag, A.-M., Chawla A., Christofi L., Dampahalage D., Demestichas P., Ericson M., Farhadi H., Fiore M., Fitzek, F.H.P., Flinck H., Fonseca J., Forsell M., Gabillon V., Garcia-Saavedra A., Han B., Honkala M., Kazmierowski A., Klitis C., Korpi D., Kuklinski S., Pavón I.L., Lamprousi V., Landi G., Lee H., Mangues-Bafalluy J., Khorsandi B.M., Merluzzi M., Mohammadi J., Morin C., Lucena, J.A.O., Pöyhönen P., Rajapaksha N., Rajatheva P., Rezazadeh F., Riggio R., Scheuvens L., Seimler M., Tuononen J., Vilalta R., Wang Q.
10.1561/9781638282396.ch5 Google Scholar
Cloud Native Federated Learning for Streaming: An Experimental Demonstrator
IEEE International Conference on High Performance Switching and Routing. Vol. 2023-June. pp. 46-48 January 2023.
Barrachina-Munoz S., Zeydan E., Blanco L., Vettori L., Rezazadeh F., Mangues-Bafalluy J.
10.1109/HPSR57248.2023.10147920 Google Scholar
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN
Ieee Infocom 2023 - Conference On Computer Communications Workshops, Infocom Wkshps 2023. January 2023.
Rezazadeh F., Zanzi L., Devoti F., Barrachina-Muñoz S., Zeydan E., Costa-Perez X., Mangues-Bafalluy J.
10.1109/INFOCOMWKSHPS57453.2023.10226154 Google Scholar
AI-Driven Framework for Scalable Management of Network Slices
IEEE COMMUNICATIONS MAGAZINE. Vol. 61. No. 11. pp. 216-222 January 2023.
Blanco L., Kuklinski S., Zeydan E., Rezazadeh F., Chawla A., Zanzi L., Devoti F., Kolakowski R., Vlahodimitropoulou V., Chochliouros I., Bosneag A.-M., Cherrared S., Garrido L.A., Barrachina-Munoz S., Mangues J.
10.1109/MCOM.005.2300147 Google Scholar
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
2023 Ieee Conference On Network Function Virtualization And Software Defined Networks, Nfv-Sdn 2023 - Proceedings. pp. 172-174 January 2023.
Rezazadeh F., Barrachina-Munoz S., Zeydan E., Song H., Subbalakshmi K.P., Mangues-Bafalluy J.
10.1109/NFV-SDN59219.2023.10329778 Google Scholar
Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing
2023 Ieee International Conference On Communications Workshops: Sustainable Communications For Renaissance, Icc Workshops 2023. pp. 1026-1031 January 2023.
Rezazadeh F., Chergui H., Mangues-Bafalluy J.
10.1109/ICCWorkshops57953.2023.10283684 Google Scholar
Joint Explainability and Sensitivity-Aware Federated Deep Learning for Transparent 6G RAN Slicing
IEEE International Conference on Communications. Vol. 2023-May. pp. 1238-1243 January 2023.
Roy S., Rezazadeh F., Chergui H., Verikoukis C.
10.1109/ICC45041.2023.10279790 Google Scholar
A Marketplace Solution for Distributed Network Management and Orchestration of Slices
2023 19th International Conference On Network And Service Management, Cnsm 2023. January 2023.
Zeydan E., Blanco L., Barrachina-Munoz S., Rezazadeh F., Vettori L., Mangues J.
10.23919/CNSM59352.2023.10327832 Google Scholar
A Marketplace Solution for Distributed Network Management and Orchestration of Slices
International Conference On Network And Service Management. January 2023.
Zeydan, E, Blanco, L, Barrachina-Muñoz, S, Rezazadeh, F, Vettori, L, Mangues, J
Google Scholar
A Federated DRL Approach for Smart Micro-Grid Energy Control with Distributed Energy Resources
IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks. Vol. 2022-November. pp. 108-114 January 2022.
Rezazadeh F., Bartzoudis N.
10.1109/CAMAD55695.2022.9966919 Google Scholar
Advanced Cloud-Based Network Management for 5G C-RAN
Enabling 6G MobileEnabling. pp. 371-397 November 2021.
Maule, Massimiliano, Kohjogh, Ojaghi, Rezazadeh, Farhad
10.1007/978-3-030-74648-3_11 Google Scholar
A Collaborative Statistical Actor-Critic Learning Approach for 6G Network Slicing Control
2021 Ieee Global Communications Conference, Globecom 2021 - Proceedings. January 2021.
Rezazadeh F., Chergui H., Blanco L., Alonso L., Verikoukis C.
10.1109/GLOBECOM46510.2021.9685218 Google Scholar
Continuous Multi-objective Zero-touch Network Slicing via Twin Delayed DDPG and OpenAI Gym
Ieee Global Communications Conference. January 2020.
Rezazadeh, Farhad, Chergui, Hatim, Alonso, Luis, Verikoukis, Christos
10.1109/GLOBECOM42002.2020.9322237 Google Scholar
Researcher R3
Researcher PO
Researcher R2
Researcher R2
Researcher R3