I EDITION | ON SITE | APPLICATION
Deadline for Registration
December 10th, 2021
Piero Castoldi, Luca Valcarenghi
January 31th - February 4th, 2022
Future mobile network technologies (5G, 6G, etc.) 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 5G / 6G cellular systems with regard to the radio interface, the wired component 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 emerging services that may be delivered by 5G/6G networks and how these networks are able to meet the stringent requirements that such services sometimes require.
- the impact of the aforementioned services on the sustainability of the planet and the global challenges of the 21st century.
The Seasonal School ARTIST has been designed to critically evaluate and elaborate on these new technologies to stimulate a focused examination of the many facets and challenges offered by 5G and future networks architectures.
ARTIST is entirely delivered in English and will comprise two parts: the first part lasting 4 days includes focus session on key issues, industrial talks and brainstorming break-out sessions; the second part lasting one full day includes the laboratory sessions, while the final exam presentation of a brief project work will take place on-line afterwards.
Who should attend this Seasonal School?
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.
Coordinator and key teaching staff
Key teaching staff:
- Ing. Gabriele Cecchetti
- Ing. Andrea Sgambelluri
- Ing. Nicola Sambo
- Ing. Silvia Fichera
- Ing. Anna Lina Ruscelli
- Ing. Davide Scano