Trajectory Planning in UAV-Aided Wireless Networks Via Reinforcement Learning

Tarozzi, Alessia (2022) Trajectory Planning in UAV-Aided Wireless Networks Via Reinforcement Learning. [Laurea magistrale], Università di Bologna, Corso di Studio in Telecommunications engineering [LM-DM270], Documento full-text non disponibile
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This thesis is focused on the design of a flexible, dynamic and innovative telecommunication's system for future 6G applications on vehicular communications. The system is based on the development of drones acting as mobile base stations in an urban scenario to cope with the increasing traffic demand and avoid network's congestion conditions. In particular, the exploitation of Reinforcement Learning algorithms is used to let the drone learn autonomously how to behave in a scenario full of obstacles with the goal of tracking and serve the maximum number of moving vehicles, by at the same time, minimizing the energy consumed to perform its tasks. This project is an extraordinary opportunity to open the doors to a new way of applying and develop telecommunications in an urban scenario by mixing it to the rising world of the Artificial Intelligence.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Tarozzi, Alessia
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
UAV,Reinforcement Learning,Vehicles,Network
Data di discussione della Tesi
5 Ottobre 2022

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