ARTIST – Pervasive ARTIficial Intelligence for Next-G Softwarized neTworks

Future mobile network technologies (B5G, 6G, i.e. next-G) will allow the creation of new applications that will transform the way people live, work and interact with the environment. The educational objectives of the proposed seasonal school are to understand and to learn:

• the architectures of future cellular systems with regard to the radio interface, the wired segment and the software components such as virtualized entities, edge computing and AI-aided resource allocation;
• the main features of data traffic transport and routing technologies in 5G/6G networks, telemetry techniques and advanced traffic conditioning techniques;the role of AI in Next-G Softwarized neTworks, including how it can be used to automate network operations, optimize resource allocation, and enhance the overall user experience.
• the emerging services (VR, telemedicine, metaverse) that may be delivered by next-G networks and how they are able to meet the stringent requirements that such services require;
• the impact of the aforementioned services on the sustainability of the planet and the global challenges of the 21st century.

Electrical Engineering, Electronic Engineering, Information Engineering
Other Engineering and Technologies

Engineering and Technology

Weekly

27/04/2024

Prof. Piero Castoldi; Prof. Luca Valcarenghi; Prof. Andrea Sgambelluri.

The educational objectives of the proposed seasonal school are to understand and to learn:

the architectures of future cellular systems with regard to the radio interface, the wired segment and the software components such as virtualized entities, edge computing and AI-aided resource allocation;
the main features of data traffic transport and routing technologies in 5G/6G networks, telemetry techniques and advanced traffic conditioning techniques;the role of AI in Next-G Softwarized neTworks, including how it can be used to automate network operations, optimize resource allocation, and enhance the overall user experience.
the emerging services (VR, telemedicine, metaverse) that may be delivered by next-G networks and how they are able to meet the stringent requirements that such services require;
the impact of the aforementioned services on the sustainability of the planet and the global challenges of the 21st century.

Main candidate for attendance are Master of Science (Laurea Magistrale) students in the area of Computer Science, Telecommunication Engineering, Electronic Engineering, Aerospace Engineering, Biomedical Engineering, Automation Engineering. Postgraduate students and PhD students in the aforementioned disciplines interested in the Seasonal School topics are also welcome.

1 week

5

4

20

English

In progress

Scuola Superiore Sant’Anna

Key teaching staff: Andrea Sgambelluri, Nicola Sambo, Giulio Cossu, Francesco Paolucci, Filippo Cugini, Alessandro Pacini, Emilio Paolini, J. Borromeo

Telecommunications, Computer Engineering, and Photonics Institute

Piazza Martiri della Libertà 33 - Pisa