Massive MIMO Systems

Next Generation Multiple Access with Cell-Free Massive MIMO

Michalis Matthaiou, Professor, Electrical Engineering and Computer Science, Queen’s University Belfast, United Kingdom

May 24, 11:00 - 12:00

B1 L3 R3119

Massive MIMO Systems Adaptive communication systems

This talk provides an overview of current research efforts on the CF-mMIMO systems and their promising future application scenarios.

Qurrat-Ul-Ain Nadeem

Ph.D., Electrical and Computer Engineering

Next Generation Wireless Communication Systems Random Matrix Theory Massive MIMO Systems Channel modeling

Qurrat-Ul-Ain Nadeem selected while at KAUST as one of the 2018 Marconi Society Paul Baran Young Scholars and she currently is a Postdoctoral Fellow at the School of Engineering, the University of British Columbia, Okanagan Campus, working with Professor Anas Chaaban in the Communication Theory Lab. Education and Early Career Qurrat obtained her Master of Science and Ph.D. degrees in Electrical Engineering from KAUST in June 2015 and December 2018 respectively. Before joining KAUST, she completed her Bachelor of Science degree in Electrical Engineering from Lahore University of Management

Mohamed Siala

Visiting Researcher (former), Electrical and Computer Engineering

Waveform design for advanced multicarrier systems channel estimation Synchronization. Adaptive modulation and coding Massive MIMO Systems space-time coding Relaying and cooperative networks cognitive radio Localization ultrasound ranging

Visiting Faculty, Computer, Electrical and Mathematical Sciences and Engineering, KAUST, KSA. On Sabbatical Leave from SUP’COM, Tunisia.