MIMO digital signal processing

Best Poster Award -3rd place by Dr. Asmaa Abdallah

1 min read ·
Last week our postdoc Dr. Asmaa Abdallah presented her work on Deep Learning Based Frequency-Selective Channel Estimation for Hybrid mmWave MIMO Systems in the Research conference: Extreme Bandwidth Communication: From mmWave, THz to Optical Bands. Her work is about channel estimations for millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems. These systems typically employ hybrid mixed signal processing to avoid expensive hardware and high training overheads. However, the lack of fully digital beamforming at mmWave bands imposes additional challenges in channel

Mehdi Amhoud

Postdoctoral Research Fellow, Electrical and Computer Engineering
Mehdi Amhoud is a Postdoctoral Research Fellow at the Communication Theory Lab, King Abdullah University of Science and Technology (KAUST), working with Professor Slim Alouini. Education and Early Career Mehdi received the Ph.D. degree in communications & electronic from Télécom ParisTech, Paris, France, in 2017. He is currently a Postdoctoral Fellow with the division of Computer, Electrical and Mathematical Sciences & Engineering at KAUST University, Thuwal, Saudi Arabia. His current domain of research includes modeling and performance analysis of MIMO free space optical systems. Scientific