students

My research interests focus on wireless networks, touching theoretical, simulation, and experimental aspects.


PhD Students

  • Chiara Rubaltelli (2025 - ): Designing Next-Generation Radio Access Networks
  • Viola Bernazzoli (2023 - ): Next-Generation Radio Access Networks for Smart Radio Environments
  • Marcello Morini (2022 - ): System level analysis and experimentation of high-frequency access networks with advanced architectures towards 6G
  • Paolo Fiore (2021 - ): Resource Management and Optimization for Wireless Networks in Reconfigurable Environments
  • Franci Gjeci (2020 - ) (co-advised with Antonio Capone): Programmable Self-Organizing Radio Access Networks

Graduate Students

PhD Alumni

  • Eugenio Moro - PhD 2023 (co-advised with Antonio Capone):
    • Thesis: A system-level perspective on new services and technologies for radio access networks
    • Assistant Professor with Politecnico di Milano
  • Bibo Zhang – PhD 2022:
    • Thesis: Reinforcement Learning techniques in 5G Networks
    • Lecturer with the Ocean College, Jiangsu University of Science and Technology, Zhenjiang, China
  • Francesco Devoti - PhD 2019 (co-advised with Antonio Capone):
    • Thesis: Context-aware resource management and network design in 5G millimeter wave access networks
    • Senior Research Scientist at NEC Laboratories Europe
  • Vincenzo Sciancalepore - PhD 2015 (co-advised with Antonio Capone):
    • Thesis: Enhancements in spectrum management techniques for heterogeneous 5G future network
    • Principal Researcher at NEC Laboratories Europe

Graduate Alumni

  • Nadia Sadeghi - MS 2025: Design and Implementation of an Agentic RAG System for Evaluating RFP Responses
  • Zahra Asgari - MS 2025: Optimizing 5G IAB Networks in Smart Radio Environments: A Reliability Perspective
  • Tugay Ozel - MS 2025: Experimental studies on Transport Protocols in a 5G mmWave network testbed
  • Claudia Baz Alvarez – MS 2024: O-RAN-Based Real-Time Positioning in 5G Networks: A Preliminary Analysis Using Uplink SRS
  • Niloufar Dinipour – MS 2024: Fronthaul-aware Radio Resource Management in Wireless C-RAN for 5G Networks
  • Ecem Izde Kaya – MS 2024: A Preliminary Analysis of 5G Uplink AoA Estimation
  • Giuseppe Gattulli – MS 2024: Processing Prioritization of Application Functions in Future 6G Medical RANs
  • Viola Bernazzoli – MS 2023: Experimental platform for opportunistic ranging systems in 5G NR Networks
  • Konstantinos Marios Roumpeas – MS 2023: Resource allocation strategies for network slicing in self organized cellular networks
  • Giuseppe Leone – MS 2022: Network planning models for 6G mmWave IAB Smart Radio Environments”
  • Alireza Reshadi – MS 2022: Topology Formation Optimization for mm-Wave 5G Integrated Access and Backhaul Networks
  • Filip Muratagikj – MS 2022: A comparative study for mm-Wave access networks planning models with reconfigurable intelligent surfaces
  • Stefano Scerrato – MS 2021: Analysis of dual-connectivity approaches for mmWave 5G Radio Access through ns-3 network simulator
  • Emmanuele Benedetto – MS 2021: Semi-distributed congestion-aware traffic engineering in software defined networks
  • Paolo Fiore – MS 2021: Network planning models for RIS-assisted mm-Wave IAB Networks
  • Achilles Kiwanuka Machumilane – MS 2020: DASH video streaming in Integrated Satellite-5G networks
  • Mert Yuksel – MS 2019: Optimization Algorithms for 5G Millimeter-wave Access Networks with Integrated Access and Backhauling
  • Andres Herrera Alvarez – MS 2018: LoRa and Narrow-band IoT Deployment and Radio Access Performance
  • Giuseppe Maldari – MS 2018: Node Relocation in 5G Mm-wave Access Networks
  • Mohammad Nourifar – MS 2018: Blockage-robust 5G mm-wave access network planning
  • Raffaele Pico – MS 2018: Energy saving modelling and prediction in LTE networks
  • Fedor Zhukov – MS 2017: 3D directional cell discovery for mm-wave access
  • Johanna Bolivar Gonzalez – MS 2017: Cell discovery algorithms for mm-wave access of highly directional devices
  • Nicola Rosada – MS 2016: Clustered robust routing solutions in software defined networks