communication systems

Muhanned Alsaif

Young professional with a robust background in research and engineering, specializing in communication and signal processing applications for estimation. Previous experience: positioning using GNSS. Current experience: subsurface formation estimation using downhole and surface logs.

Distributed beam tracking for vehicular communications via UAV-assisted cellular network

Prof. Young-Chai Ko, School of Electrical Engineering, Korea University

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B1 L3 R3119

In this talk, a distributed beam tracking scheme for millimeter-wave unmanned aerial vehicle (UAV)- assisted communication systems is presented. In the considered systems, aerial node base (aNB) connects the ground vehicles (GV) through directive beams to mitigate the path loss. However, line-of-sight (LoS) blockage may result in the link disconnection, which leads to the corruption of observations. To solve this issue, we extend the one-to-one beam tracking into the multi-node cooperative beam tracking scheme.

Machine Learning for Scalable MIMO Communication Systems: From Theory to Real-World Demonstration

Dr. Ahmed Alkhateeb, Electrical Engineering , Arizona State University

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B9 L2 H1

Large-scale MIMO communication (at sub-6GHz, mmWave, and sub-THz bands) is a key enabler for 5G, 6G, and beyond. Scaling MIMO systems, however, is subject to critical challenges, such as the large channel acquisition and beam training overhead and the sensitivity to channel estimation errors (especially at lower frequencies) and blockages (at higher frequencies). These challenges make it difficult for MIMO systems to support applications that have high mobility and strict reliability constraints. In this talk, I will first motivate the use of machine learning and sensory data to address these challenges. Then, I will present a few key machine-learning roles, enabling datasets, and recent hardware proof-of-concept prototypes that demonstrate the machine-learning gains in real-world environments.

Towards The Implementation of Reliable Hyperloop Communication Systems

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B1 L3 R3119

This work is geared toward the design and analysis of reliable Hyperloop communication systems. Hyperloops pose several challenges for the communication system for providing a reliable communication system while dealing with a complex structure, moving at tremendous speeds inside an evacuated tube. The adopted sealed steel-structured tube in the Hyperloop prevents signal penetration, isolating the inner world from the outside and creating a highly scattering environment for electromagnetic (EM) waves. Furthermore, the exceptionally high speed of the traveling pod results in severe Doppler shifts and frequent handovers, leading to increased transmission errors and delays. We propose a novel system configuration where wireless transmitters or access points (APs) are placed inside the tube to communicate with the moving receiver using optical fiber as a backhaul link.

Omar Khalifa

PhD student in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST) ,working under the supervision of Prof. Tareq Al-Naffouri.

Heyou Liu

Liu Heyou is an MS/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 Liu Heyou obtained his bachelor degree in Electrical Engineering from University of Electronic Science and Technology of China in 2021. He was a summer intern in 2020 before becoming KAUST student in 2021. Research Interest Liu Heyou is focusing in the area of Communications, Statistics, FSO comunications system. He’s currently working on FSO(fress space optic) system

Basit Olakunle Alawode

Visiting student at King Abdullah University of Science and Technology (KAUST).under the supervision of Professor Tareq AlNaffouri.

Abdullah Halafi

Abdullah Halafi obtained his Ph.D. degree in Electrical Engineering under the supervision of Professor Basem Shihada at Networking Research Lab in King Abdullah University of Science and Technology (KAUST), in 2018. Abdullah Al-Halafi received the B.Sc. degree in electrical engineering from the King Fahd University of Petroleum and Minerals, Saudi Arabia, in 2003, the M.Sc. degree in electronics and electrical engineering from the University of Glasgow, U.K., in 2006. He was involved in engineering and project management of various large-scale communications and control systems projects at