Towards a Green Smart City: Harvesting RF Energy from V2X Communications

DISI Seminar 2024
1 marzo 2024
Orario di inizio 
Polo Ferrari 1 - Via Sommarive 5, Povo (Trento)
aula A103
Organizzato da: 
Dipartimento di Ingegneria e Scienza dell'Informazione
Comunità universitaria
Ingresso libero
dr. Michele Segata
Federico Librino, CNR Informatics and Telematics Institute


The invaluable services and applications provided to citizens by the well known smart city paradigm are inherently energy-demanding. Yet, obtaining this energy in a green way is of paramount importance to realize a sustainable urban development. In this talk, I will introduce an innovative approach for powering small sensors devoted to road and traffic monitoring through RF Energy Harvesting. Differently from other widely studied scenarios, the energy is scavenged by V2X communications, which are envisioned to become ubiquitous in the next decades as a pivotal element in order to implement autonomous driving and realize smart urban mobility. I will detail the main theoretical challenges tackled to derive the analytical results for a simple scenario, and I will show the impact of vehicular traffic, channel model and transmission parameters on some relevant performance metrics. I will also briefly hint at some preliminary results from ongoing experimental campaigns aimed at testing the effectiveness of the proposed approach in a real urban road scenario.

About the speaker

Federico Librino received the B.Sc. degree, the M.Sc. degree (with Hons.) and the Ph.D. degree in telecommunications engineering from the University of Padova, Padua, Italy, in 2004, 2006 and 2010, respectively. In 2009, he pursued an internship with Qualcomm Inc., San Diego, CA, USA. From 2010 to 2012, he was a Postdoctoral Researcher with the University of Padova, working on protocol design for wireless cellular and sensor networks.
Since November 2012, he has been with the Informatics and Telematics Institute of the CNR (Italian National Research Council), where he is currently working on vehicular networks, RF Energy Harvesting techniques and smart mobility systems. His research interests include cross-layer protocol design for wireless networks and vehicular networks, resource allocation algorithms in IoT networks, and graph models for smart urban mobility.