Antonio Calagna
Machine Learning-driven Management of Unmanned Aerial Vehicles Networks.
Rel. Carla Fabiana Chiasserini, Roberto Garello. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2021
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Abstract
In recent years, Unmanned Aerial Vehicles (UAVs) have been deeply investigated because of the relevant services they can support and the improvements they can provide in different application fields. Examples include last-mile delivery, area monitoring, and infrastructure inspection. UAV-aided communication networks can indeed extend or replace the existing communication infrastructure where such facilities would be difficult or too costly to deploy due to the remote or inaccessible locations, like in the case of areas hit by natural disasters. In spite of the recent advancements, UAV operations and scenarios introduce unique technical challenges, among which remote control and efficient usage of computational resources emerge as aspects of primary importance.
In this context, data-driven approaches such as machine learning represent an effective methodology
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