RT Dissertation/Thesis
T1 Enabling Unmanned Aerial Vehicles for the near future applications
A1 Sánchez Agüero, Víctor
A2 IMDEA Networks Institute, 
AB Until today, Unmanned Aerial Vehicle (UAV) operations only include a single aerialvehicle (in most cases) that performs reconnaissance missions by sending telemetrycaptured by different onboarded sensors (e.g., video, temperature, air quality) tothe Ground Control Station (GCS). Single-UAV applications, despite their apparentsimplicity, are used in many different and significant fields (e.g., surveillance of livestock,monitoring of power lines, traffic monitoring, rescue). Many applications of UAV swarmshave already been seen. Still, they are usually stunts and exhibitions with no actualfunctionality.Recent research trends are founded on multiple UAVs operating collaborativeimplementing more complex services, and generally integrated into the urbanenvironment. It would lead to new scenarios that are not yet adequately deployed(e.g., package delivery, monitoring of sports events or crowds such as concerts ordemonstrations, increasing coverage, support to emergency services in cities (fire, police,emergency)). However, several challenges must be faced before integrating theseapplications into our everyday lives.The central objective of the thesis is to contribute to some of the significant challengesidentified in the UAV communications services sector. In the first place, this thesiscontributes with an emulation solution for validating environments with connected UAVs,including different use cases and verticals. Additionally, it contributes to communicationssolutions in complex connectivity environments based on experimentation where the FifthGeneration of cellular network technology (5G) softwarization technologies are integratedinto the UAV ecosystem. In the last place, this thesis contributes to the proposal of newsolutions to solve some limitations, such as the high energy consumption in combinationwith UAVs’ limited flight autonomy or the complexity of traffic management and theestablishment of the network infrastructure in such volatile environments.
YR 2022
FD 2022-05
LK https://hdl.handle.net/10016/35889
UL https://hdl.handle.net/10016/35889
LA eng
NO This doctoral thesis has been carried out in the framework of the European andNational projects listed below:5GCity: Adaptive Management of 5G Services to Support Critical Events in Cities (Grantagreement TEC2016-76795-C6-3-R, Spanish Ministry of Economy and Competitiveness).TRUE5G: Towards zeRo toUch nEtwork and services for beyond 5G (Grant agreement PID2019-108713RB681).H2020 5GRANGE: Remote area Access Network for 5th GEneration (Grant agreement 777137).H2020 Labyrinth: Unmanned Traffic Management 4D path planning technologies for drone swarm toenhance safety and security in transport (Grant agreement 861696).
NO This work has been supported by IMDEA Networks Institute.
DS e-Archivo
RD 27 jul. 2024