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Berk Akgun
Also published under:Berk Akgün
Affiliation
Qualcomm Technologies, Inc., San Diego, USA
Topic
User Equipment,5G New Radio,Antenna Array,Artificial Neural Network,Bandit Problem,Data Rate,Key Performance Indicators,Long Short-term Memory,Multi-armed Bandit,3rd Generation Partnership Project,Antenna Gain,Antenna Pattern,Average Data Rate,Average Delay,Baseline Schemes,Beam Direction,Beam Quality,Beam Tracking,Beamforming Vector,Capacity Planning,Cellular Networks,Central Unit,Channel Model,Coverage Estimates,Digital Twin,Dirichlet Distribution,Distributed Unit,Half-power Beamwidth,Machine Learning Solutions,Markov Decision Process,Neighboring Cells,Network Capacity,Network Planning,Path Loss,Point Cloud,Potential Use Cases,Problem Instances,Radio Access Network,Real-world Deployment,Reinforcement Learning Algorithm,Reward Distribution,Simulation Accuracy,Spectral Efficiency,Upper Confidence Bound,User Experience,Virtual Network Functions,Wireless Networks,5G Networks,Adaptive Rate,Analog-to-digital Converter,
Biography
Berk Akgun received the B.S. and M.S. degrees in electrical and electronics engineering from Middle East Technical University, Ankara, Türkiye, in 2012 and 2014, respectively, and the Ph.D. degree in ECE from The University of Arizona, Tucson, AZ, USA, in 2019. From 2012 to 2014, he was a Software Design Engineer with the Communication and Information Technologies Division of Aselsan, Ankara. He is currently a Senior Engineer with Qualcomm Technologies Inc. His research interests include mmWave channel characterization, robust mmWave system design, secure multiuser MIMO systems, and wireless communications and networking, with an emphasis on designing and integrating next-generation private networks.