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Altitude optimization of UAVS serving as base stations using deep learning
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2020)
It is expected that unmanned aerial vehicles (UAVs) will play a vital role in future communication systems. Optimum positioning of UAVs, serving as base stations can be done through extensive measurements or ray tracing ...
Path loss prediction from heightmap using deep learning
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
Wireless channel parameters of a region are required for a successful network planning. Sufficient information about those parameters can be obtained by either actual measurements or ray-tracing simulations that use 3D ...
Deep learning based prediction of path loss values and distributions from satellite images
(İstanbul Medipol Üniversitesi Fen Bilimleri Enstitüsü, 2021)
It is critical to provide rapid deployment of robust and effective outdoor communication systems in today's world, where many seek to provide wireless connection services from aerial grids of drones and balloons, or low ...