Massive MIMO

Asymptotic Analysis of Precoding in Large-Scale Multi-User Systems

Xiuxiu Ma, Ph.D., Electrical and Computer Engineering

Aug 25, 08:30 - 10:00

B1 L3 R3119

MIMO Massive MIMO

This thesis develops and applies novel Gaussian Min-Max Theorems to provide a precise asymptotic performance analysis of complex precoders in massive MIMO systems, successfully characterizing system behavior in previously intractable scenarios involving non-linear post-processing operations.

kaust-cemse-ccsl-khalid-kanaan

Khalid Kanaan

Ph.D. Student, Electrical and Computer Engineering

machine learning for wireless communication Massive MIMO multimodal sensing

Xiuxiu Ma

Ph.D., Electrical and Computer Engineering

TDOA Localization Massive MIMO Computer simulations Convex programming

Mudassir Masood

Ph.D. (former), Electrical and Computer Engineering

Distribution Agnostic Bayesian Estimation of Sparse Signals Compressive Sensing Massive MIMO Physical layer security machine learning

Ph.D. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST). ,Assistant Professor, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia.

Alam Zaib

Intern, Information Science Lab

channel estimation Massive MIMO blind equalization Signal processing communications Adaptive filtering machine learning

Research Intern at King Abdullah University of Science and Technology (KAUST) ,Assistant Professor / COMSATS institute of information technology, Abbottabad.