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AIR-TO-GROUND CHANNEL MODELING FOR UNMANNED AERIAL VEHICLES

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dc.contributor.author Mukhatzhanova, Sabina
dc.date.accessioned 2024-07-15T10:15:01Z
dc.date.available 2024-07-15T10:15:01Z
dc.date.issued 2024-04-19
dc.identifier.citation Mukhatzhanova, S. (2024). Air-to-Ground Channel Modeling for Unmanned Aerial Vehicles. Nazarbayev University School of Engineering and Digital Sciences en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/8111
dc.description.abstract The ‘Air-to-Ground Channel Modeling for Unmanned Aerial Vehicles’ main goal is to develop a precise and reliable model of the communication channel between unmanned aerial vehicles and ground stations. This project will be mainly focused on the extensive research of recent data and channel simulation using MATLAB. The project will analyze different scenarios and characteristics that may have an impact on the proper work of the channel and find ways to overcome those difficulties. These obstacles can be channel fading, polarization, weather conditions, and hard-to-reach locations. The proposed channel modeling can be beneficial in different spheres of life: safety, surveillance, telecommunication, and national priorities. Overall, the project’s main focus will be based on the enhancement of analytical skills in order to select major types of channel modeling and see the advantages and disadvantages of the proposed model. The results can have a positive impact through the contribution to the advancement of UAV technologies. en_US
dc.language.iso en en_US
dc.publisher Nazarbayev University School of Engineering and Digital Sciences en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject Type of access: Resrticted en_US
dc.title AIR-TO-GROUND CHANNEL MODELING FOR UNMANNED AERIAL VEHICLES en_US
dc.type Capstone Project en_US
workflow.import.source science


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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States