We are a group with currently 4 permanent faculty, 2 non-tenured assistant professors, 3 post-docs and 2 PhD student.
Our EXPERTISE is on PHY and MAC layer of wireless networks, Resource allocation and optimization techniques for wireless communications, Machine learning based PHY and MAC algorithms.
In particular, we perform academic-type research on the following topics:
Massive MIMO and Cell-free massive MIMO networks
Integrated Sensing, Localization, and Communications
Millimeter Wave and High-Frequency Communications
Mobile Edge Computing
AI-enabled PHY and MAC design
Reconfigurable Intelligent Surfaces and Metamaterials
This is a list of our currently ONGOING PROJECTS:
H2020-MSCA-ITN METAWIRELESS: Future Wireless Communications Empowered by Reconfigurable Intelligent Meta-Materials. Grant agreement 956256, funding 3.9M€, Project Coordinator: Stefano Buzzi
H2020-MSCA-IF IUCCF: An intelligent design of user-centric cell-free massive MIMO: A deep learning approach. Grant agreement 844253, funding 180k€, PI: Stefano Buzzi
H2020-MSCA-IF RASECOL: Radar Sensing, Communication, and Learning for Next Generation Wireless Networks. Grant agreement 898354, funding 180k€, PI: Stefano Buzzi
SUMMA: 5G-based Smart Urban Mobility Management, nationally funded experimental research project, funding 1.25M€, Project Coordinator: Stefano Buzzi
PRIN 2017 Project LIQUIDEdge: Liquid edge computing based on distributed machine learning and millimeter-wave radio access, nationally funded project. UNICAS budget: 100k€, Head of the UNICAS Research Unit: Stefano Buzzi
CNIT (National, Inter-University Consortium for Telecommunications, www.cnit.it) is a non-profit consortium, established in 1995, bringing together 38 public Italian universities to perform research, innovation and education/training activities in the field of the Information and Communication Technology.
CNIT research unit at the University of Cassino is led by prof. Stefano Buzzi and is currently coordinating the H2020-MSCA-ITN project METAWIRELESS on reconfigurable intelligent surfaces.