wireless communication systems

Analysis and Optimization of Massive MIMO Systems via Random Matrix Theory Approaches

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B1 L3 R3119

Massive multiple-input multiple-output (MIMO) is a key enabling technology to achieve the required spectral and energy efficiency of the next generation of wireless networks. By endowing the base station (BS) with hundreds of antennas and relying on spatial multiplexing, massive MIMO allows impressive advantages in many fronts. To reduce this promising technology to reality, thorough performance analysis has to be conducted. Along this line, this work is focused on the convenient high-dimensionality of massive MIMO’s corresponding model. Indeed, the large number of antennas allows us to harness asymptotic results from Random Matrix Theory to provide accurate approximations of the main performance metrics. The derivations yield simple closed-form expressions that can be easily interpreted and manipulated in contrast to their alternative random equivalents. Accordingly, in this dissertation, we investigate massive MIMO in different contexts.

Innovations in LED Wireless Communication Systems - Reviewing technical innovations that may make a difference

Prof. Jean-Paul Linnartz, Electrical Engineering, Eindhoven University of Technology

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KAUST

With the transition from traditional to LED light sources, the lighting industry has changed completely. Lighting systems have become intelligent and connected.

The internet of sea things

1 min read ·
When Atif Shamim, KAUST associate professor of electrical engineering, was approached by colleagues in the University's Red Sea Research Center (RSRC) with the challenge of developing underwater sensing technology for marine animals, he wasn't sure how his expertise could help, since marine animals are under water most of the time. Up until now, his research has focused on Bluetooth for applications on dry land, such as wearable medical devices connected to smartphone applications through Bluetooth communication protocol

Yu Tian

Yu Tian is a Ph.D. student in the Communication Theory Lab (CTL) under the supervision of Professor Mohamed-Slim Alouini at King Abdullah University of Science and Technology (KAUST). Education and Early Career Yu Tian obtained his Master degree in Computer Science from KAUST in 2019 and Bachelor degree in Communication Engineering from Harbin Institute of Technology (HIT) in 2013. From November 2016 to April 2017, he was a visiting student in Visual Computing Center in KAUST. Before coming to KAUST, he worked as a research assistant in Chinese Academy of Science focusing on antenna designing

Ikram Boukhedimi

Ikram Boukhedimi was born in Blida, Algeria. She received an Electrical Engineering degree from the Ecole Polytechnique d'Alger, Algeria, in 2013 and an M.S. in Mathematics, Control and Electrical Engineering from Universite de Poitiers, France in 2014. and she earned a Ph.D. in Electrical Engineering at King Abdullah University of Science and Technology in June 2019, Saudi Arabia in Professor Mohamed Slim Alouini’s Communication Theory Lab in Electrical Engineering research group. Her research interests include random matrix theory approaches applied to wireless communication systems