Vuk Marojevic

Also published under:V. Marojevic

Affiliation

Mississippi State University, USA

Topic

User Equipment,Open Radio Access Network,Wireless Networks,Resource Block,Unmanned Aerial Vehicles,Deep Reinforcement Learning,5G Networks,Base Station,Network Slicing,Orthogonal Frequency Division Multiplexing,5G New Radio,Cellular Networks,Denial Of Service,Resource Allocation,Signal-to-interference-plus-noise Ratio,Time Slot,Internet Of Things,Radio Access Network,Service Quality,Data Rate,Intrusion Detection,Key Performance Indicators,Medium Access Control,Network Performance,Open-source Software,Subcarrier Spacing,Unmanned Aerial Vehicle Trajectory,Actor Network,Additive Noise,Anechoic Chamber,Channel State,Critic Network,Deep Learning,Digital Twin,Electromagnetic Interference,Forward Error Correction,Frequency Band,Frequency Domain,Graphical User Interface,Ground Users,Intrusion Detection System,Jamming Attacks,Long Short-term Memory,Markov Decision Process,Microservices,Multiple-input Multiple-output,Open Interface,Performance Metrics,Quadrature Phase Shift Keying,Recurrent Neural Network,

Biography

Vuk Marojevic (Senior Member, IEEE) received the M.S. degree in electrical engineering from Leibniz University Hannover, Hannover, Germany, in 2003, and the Ph.D. degree in electrical engineering from Barcelona Tech-UPC, Barcelona, Spain, in 2009. He is currently an Associate Professor with the Department of Electrical and Computer Engineering, Mississippi State University, Starkville, MS, USA. He is a Principal Investigator of the NSF AERPAW and Open AI Cellular (OAIC) projects. His research interests include cellular network security, O-RAN, spectrum sharing, software radios, testbeds, resource management, and vehicular and aerial communications technologies and systems. He is an Editor of IEEE Transactions on Vehicular Technology, an Associate Editor of IEEE Vehicular Technology Magazine, and an Officer of the IEEE ComSoc Aerial Communications Emerging Technology Initiative and the IEEE VTS Ad Hoc Committee on Drones.