no code implementations • 14 Mar 2024 • Fabio Maresca, Filippo Grazioli, Antonio Albanese, Vincenzo Sciancalepore, Gianpiero Negri, Xavier Costa-Perez
The tremendous hype around autonomous driving is eagerly calling for emerging and novel technologies to support advanced mobility use cases.
no code implementations • 28 Feb 2024 • Emilio Calvanese Strinati, George C. Alexandropoulos, Madhusudan Giyyarpuram, Philippe Sehier, Sami Mekki, Vincenzo Sciancalepore, Maximilian Stark, Mohamed Sana, Benoit Denis, Maurizio Crozzoli, Navid Amani, Placido Mursia, Raffaele D Errico, Mauro Boldi, Francesca Costanzo, Francois Rivet, Henk Wymeerschx
This paper introduces the concept of Distributed Intelligent integrated Sensing and Communications (DISAC), which expands the capabilities of Integrated Sensing and Communications (ISAC) towards distributed architectures.
no code implementations • 18 Feb 2024 • Emilio Calvanese Strinati, George C. Alexandropoulos, Navid Amani, Maurizio Crozzoli, Giyyarpuram Madhusudan, Sami Mekki, Francois Rivet, Vincenzo Sciancalepore, Philippe Sehier, Maximilian Stark, Henk Wymeersch
This paper introduces the distributed and intelligent integrated sensing and communications (DISAC) concept, a transformative approach for 6G wireless networks that extends the emerging concept of integrated sensing and communications (ISAC).
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.
no code implementations • 16 Oct 2023 • Guillermo Encinas-Lago, Antonio Albanese, Vincenzo Sciancalepore, Marco Di Renzo, Xavier Costa-Pérez
The advent of reconfigurable intelligent surfaces(RISs) brings along significant improvements for wireless technology on the verge of beyond-fifth-generation networks (B5G). The proven flexibility in influencing the propagation environment opens up the possibility of programmatically altering the wireless channel to the advantage of network designers, enabling the exploitation of higher-frequency bands for superior throughput overcoming the challenging electromagnetic (EM) propagation properties at these frequency bands.
no code implementations • 9 Feb 2023 • Cuneyd Ozturk, Musa Furkan Keskin, Vincenzo Sciancalepore, Henk Wymeersch, Sinan Gezici
Reconfigurable intelligent surfaces (RISs) hold great potential as one of the key technological enablers for beyond-5G wireless networks, improving localization and communication performance under line-of-sight (LoS) blockage conditions.
no code implementations • 14 Jul 2022 • Marco Rossanese, Placido Mursia, Andres Garcia-Saavedra, Vincenzo Sciancalepore, Arash Asadi, Xavier Costa-Perez
In this paper, we present our experience designing, prototyping, and empirically characterizing RF Switch-based Reconfigurable Intelligent Surfaces (RIS).
no code implementations • 25 Apr 2022 • Kamran Keykhosravi, Benoit Denis, George C. Alexandropoulos, Zhongxia Simon He, Antonio Albanese, Vincenzo Sciancalepore, Henk Wymeersch
Reconfigurable intelligent surfaces (RISs) have tremendous potential for both communication and localization.
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.
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.
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.