Goal-Oriented and Semantic Communication in 6G AI-Native Networks: The 6G-GOALS Approach

no code implementations • 12 Feb 2024 • Emilio Calvanese Strinati, Paolo Di Lorenzo, Vincenzo Sciancalepore, Adnan Aijaz, Marios Kountouris, Deniz Gündüz, Petar Popovski, Mohamed Sana, Photios A. Stavrou, Beatriz Soret, Nicola Cordeschi, Simone Scardapane, Mattia Merluzzi, Lanfranco Zanzi, Mauro Boldi Renato, Tony Quek, Nicola di Pietro, Olivier Forceville, Francesca Costanzo, Peizheng Li

Recent advances in AI technologies have notably expanded device intelligence, fostering federation and cooperation among distributed AI agents.

$π$-ROAD: a Learn-as-You-Go Framework for On-Demand Emergency Slices in V2X Scenarios

no code implementations • 11 Dec 2020 • Armin Okic, Lanfranco Zanzi, Vincenzo Sciancalepore, Alessandro Redondi, Xavier Costa-Perez

Our framework is validated by means of real mobile network traces collected within $400~km$ of a highway in Europe and augmented with publicly available information on related road events.

Autonomous Driving

ARENA: A Data-driven Radio Access Networks Analysis of Football Events

no code implementations • 19 Oct 2020 • Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Xavier Costa-Perez, Georgios Agapiou, Hans D. Schotten

Mass events represent one of the most challenging scenarios for mobile networks because, although their date and time are usually known in advance, the actual demand for resources is difficult to predict due to its dependency on many different factors.

LACO: A Latency-Driven Network Slicing Orchestration in Beyond-5G Networks

no code implementations • 7 Sep 2020 • Lanfranco Zanzi, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Hans D. Schotten, Xavier Costa-Perez

Network Slicing is expected to become a game changer in the upcoming 5G networks and beyond, enlarging the telecom business ecosystem through still-unexplored vertical industry profits.