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- Computing and Processing
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Mojtaba Ahmadi Almasi
Also published under:
Affiliation
Center for Pervasive Communications and Computing, University of California at Irvine, Irvine, CA, USA
Topic
Channel Gain,Channel Model,Channel Vector,Feedback Channel,Frequency Division Duplex,Limited Feedback,Non-orthogonal Multiple Access,Phase Vector,Reconfigurable Intelligent Surface,Time Division Duplex,Vector Quantization,Angle Of Arrival,Angle Of Departure,Exhaustive Search,Fading Channel,Model System,Multiple Access,Multiple-input Multiple-output,Non-orthogonal Multiple Access System,Optimization Problem,Orthogonal Multiple Access,Path Loss,Quantization Error,Rayleigh Fading,Reconfigurable Intelligent Surface Elements,Sum Rate,Uniform Quantization,Achievable Rate,Achievable Sum Rate,Altitude,Analog Beamforming,Antenna Array,Antenna Selection,Average Loss,Base Station,Beamforming,Beamforming Gain,Benchmark,Bottom Of Page,Cellular Networks,Channel Coherence Time,Channel Estimation,Codebook,Coherence Time,Communication Network,Computational Capabilities,Computational Complexity,Cost Function,Data Transmission,Exhaustive Search Algorithm,
Biography
Mojtaba Ahmadi Almasi (Member, IEEE) received the Ph.D. degree from Boise State University, Boise, ID, USA, in 2020. He was a Post-Doctoral Research Scholar with the University of California at Irvine, Irvine, CA, USA, from 2021 to 2022. He is currently a 3GPP Delegate with Charter Communications working on physical layer standardization of 5G NR. His research interests include wireless communications and signal processing with an emphasis on mmWave communications, MIMO, and multiple access techniques. He received the IEEE Conference on Communication (ICC) Best Paper Award from the Communication Theory Symposium in 2018.