Non-Terrestrial Networks

Enabling Seamless Connectivity via Virtualization Technologies in 6G Integrated Networks

Sahar Ammar, Ph.D. Student, Electrical and Computer Engineering

May 13, 12:00 - 14:00

B1 R4214

Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

This thesis investigates how integrated networks powered by such technologies can be designed and optimized to enable seamless connectivity.

Free-Space Optics for Non-Terrestrial Networks: Energy-Sustained Platforms and Photon-Counting Receivers

Heyou Liu, Ph.D. Student, Electrical and Computer Engineering

Apr 1, 13:30 - 15:00

B5 R5209

wireless communication systems Free Space Optics Non-Terrestrial Networks Stochastic Geometry

This dissertation develops an integrated NTN–FSO design framework spanning energy-sustained platform deployment, turbulence-aware laser power transfer (LPT) for in-flight recharging, and photon-counting receiver optimization under dead time.

KAUST-CEMSE-ECE-Phd-dissertation-defense-Zhengying-Lou

Performance Analysis for High Altitude Platform Station-Assisted Wireless Communication Networks

Zhengying Lou, Ph.D. Student, Electrical and Computer Engineering

Nov 2, 16:00 - 17:30

B1, L3, R3123

high altitude platform stations Non-Terrestrial Networks wireless communication networks

High altitude platform stations (HAPS) have recently emerged as a pivotal stratospheric segment within the broader non-terrestrial network (NTN) ecosystem, offering a promising solution for enhancing coverage, reliability, and efficiency in next-generation wireless networks. This thesis presents a comprehensive investigation into the architecture, performance, and integration of HAPS-assisted wireless communication networks from multiple perspectives.

Xiaowei Pang

Postdoctoral Research Fellow, Electrical and Computer Engineering

Non-Terrestrial Networks haps ISAC

Xiaowei Pang is currently a Postdoctoral Research Fellow at the Computer Electrical and Mathematical Sciences and Engineering Division (CEMSE), King Abdullah University of Science and Technology (KAUST), working with Professor Mohamed-Slim Alouini in the Communication Theory Lab (CTL). Education and Early Career Xiaowei Pang received her B.S. degree in Telecommunication Engineering from Northwestern Polytechnical University, Xi'an, China, in 2018, and her Ph.D. degree in Information and Communication Engineering from Dalian University of Technology, Dalian, China, in 2024. From 2021 to 2022

KAUST-CEMSE-ECE-Omar-Khalifa-Winner-Of-Non-Terrestrial-Networks-for-6G-(NTNYS'24

KAUST ECE students achieve high honors in Competition on Non-Terrestrial Networks for 6G (NTNYS'24)

4 min read · Tue, Jan 21 2025

6g wireless systems connectivity NTN Communication Non-Terrestrial Networks IoT

KAUST Ph.D. candidate Omar Khalifa earned an impressive second place in the global Competition on Non-Terrestrial Networks for 6G (NTNYS'24). The IEEE Future Networks Initiative organized the competition as part of the "Connecting the World from the Skies Global Forum," which took place last November in Riyadh. Second place, and a prize of $10,000, was awarded to Khalifa based on his work titled "Supplying Data for Digital Twins in Green Smart Cities: A Non-Invasive NTN-IoT Approach." The international forum, which focused on the theme “Shaping the Future of Converged Connectivity,” was hosted

Houcine Chougrani

Houcine Chougrani

Research Scientist, Electrical and Computer Engineering

Non-Terrestrial Networks Embedded systems.

I decided to join KAUST because of its outstanding environment and the exceptional quality of its professors, postdocs, and students. The university's recent focus on applied research resonates deeply with my background, which spans both academic and industrial domains. This alignment presents a unique opportunity to transform our theoretical concepts into tangible innovations, ultimately contributing to the advancement of society.

Sahar Ammar

Ph.D. Student, Electrical and Computer Engineering

Optical Wireless Communication Next-generation Wireless Networks Reinforcement Learning networks Non-Terrestrial Networks Cellular Networks Virtualized Network Function 6g wireless systems machine learning network slicing

Sahar Ammar’s research focuses on network slicing in integrated terrestrial and non-terrestrial networks.

Mohammad Shehab

Postdoctoral Research Fellow, Electrical and Computer Engineering

machine learning Non-Terrestrial Networks Catastrophic communication Communication in extreme environments

Education and Early Career Currently, Mohammad Shehab is a postdoctoral Researcher with CEMSE Division, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. Previously, he was with the University of Oulu, Finland, from which he obtained his doctoral degree in 2022. Prior to that, he obtained his B.Sc from Alexandria University in 2011, two M. Sc degrees from the Arab Academy and University of Oulu in 2014 and 2017, respectively. He worked as TA at Alexandria University and the Arab Academy in Egypt from 2012-2015. Shehab was a visiting researcher to TU Dresden, Aalborg

Heyou Liu

Ph.D. Student, Electrical and Computer Engineering

FSO systems communication systems Non-Terrestrial Networks Free Space Optics