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Saba Al-Rubaye
Also published under:S. Al-Rubaye, Saba Al–Rubaye
Affiliation
School of Aerospace, Transport and Manufacturing at Cranfield University, UK
Topic
Unmanned Aerial Vehicles,Base Station,6G Networks,Deep Learning,Low Earth Orbit,Path Loss,Internet Of Things,Terrestrial Networks,Channel Model,Communication Systems,Convolutional Neural Network,Edge Computing,Neural Network,Unmanned Aerial Systems,User Equipment,Communication Links,Denial Of Service,Ground Station,High Altitude,Intrusion Detection System,Link Budget,Long Short-term Memory,Mobile Edge Computing,Reliable Communication,Resource Allocation,Satellite Communication,Satellite Networks,Signal Strength,Unmanned Aerial Vehicles Networks,Urban Environments,5G Networks,Altitude,Cellular Networks,Communication Network,Core Network,Distributed Denial Of Service,Earth Orbit,Elevation Angle,Global Navigation Satellite System,Line-of-sight,Machine Learning,Packet Loss,Performance Metrics,Power Control,Quality Of Experience,Satellite-terrestrial Network,Secret Key,Service Quality,Simulation Results,Time Slot,
Biography
Saba Al-Rubaye ([email protected]) received her Ph.D. degree in electrical and computer engineering from Brunel University London, United Kingdom, in 2013. Currently, she is a postdoctoral research fellow in the Smart Energy Lab at Stony Brook University. She is registered as a chartered engineer by the Engineering Council in the United Kingdom. Her research interests are in the areas of 5G wireless communications, smart grid networks, LTE systems, and cognitive radio.