Boosting 5G Cellular Network performance with Unmanned Aerial Vehicles

Anno
2017
Proponente Francesca Cuomo - Professore Ordinario
Sottosettore ERC del proponente del progetto
Componenti gruppo di ricerca
Componente Categoria
Sergio Barbarossa Componenti il gruppo di ricerca
Marilena Vendittelli Componenti il gruppo di ricerca
Componente Qualifica Struttura Categoria
Tommaso Melodia Associate Professor Department of Electrical and Computer Engineering Northeastern University, Boston, USA Altro personale Sapienza o esterni
Paolo Di Lorenzo Ricercatore Tempo Determinato - A Dipartimento di Ingegneria, Universita' di Perugia Altro personale Sapienza o esterni
Abstract

In recent years, the use of UAVs (Unmanned Aerial Vehicles) to boost mobile networking technology performance is rising interest in the scientific community. UAVs can be used as aerial relays to be deployed in 4G/LTE networks and small scale UAVs, such as quadrotors or small fixed wing drones, are able to carry a wide variety of sensors, actuators and communication equipments. Due to the increasing interest in this field, UAVs are becoming more and more affordable and even off-the-shelf quadrotor UAVs can carry payloads of few kilograms. In parallel, the miniaturization of commercial femto cells results in the development of very lightweight network equipment. The combination of UAVs and cellular network equipment provides an interesting approach towards the enhancement of performance of a network. Most of the applications of UAVs are thought as relay deployment in order to compensate for temporary cell overload or cell outage in cellular networks. In this project, by merging the multidisciplinary knowledge of participants, we will study and propose approaches for boosting cellular network performance through the use of UAVs as Drone-Base Stations (Drone-BS). We will look both at an optimization of the Drone-BS deployment for an optimal coverage given their communication capabilities as well as their optimal mission planning having as constraints the UAV characteristics (e.g. battery lifetime, maximum achievable speed, coverage etc) and environmental conditions.

ERC
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