Cellular-based search-and-rescue drone localization solutions

This thesis shows research based on the localization of possible victims lost or trapped under the rubble due to natural disasters or areas in emergency situations using their mobile phones. It assumes that nowadays, the use of these devices has increased significantly in the population. Therefore, if located the mobile phones are possible to find our victim very close. The location of mobile phones is currently based on systems such as GPS, the synchronization of base stations, etc. However, in an emergency situation, a rapid deployment method is needed that works under the adversities of a disaster scenario with various obstacles. The proposal is based on deploying a drone loaded with a base station to provide coverage of the disaster scene. The main idea is to estimate the channel between the mobile devices and the base station to extend the distance and direction data of the network users. To do this estimation, we have the fourth and fifth-generation networks, of which a comparison will be made on the location accuracy of each. In order to demonstrate that due to the wave flexibility introduced in the new 5G standard, higher location accuracy can be achieved than with the 4G network, a simulated environment is created. Finally, to obtain more accurate results, artificial intelligence has been used