Professor Mohamed-Slim Alouini of KAUST has been elected to the U.S. National Academy of Engineering for his contributions to wireless communication systems. Alouini is the first faculty member elected to the NAE while serving at KAUST, and his work focuses on non-terrestrial networks. He aims to extend connectivity to underserved regions and support applications like emergency response and environmental monitoring. Why it matters: This recognition highlights KAUST's ability to attract world-leading scholars and contributes to Saudi Vision 2030 by translating research into real-world impact.
Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.
KAUST, in collaboration with the Communications, Space and Technology Commission (CST) and Meta, has launched a Terragraph Wi-Fi project to bring high-speed internet to the Modern Architectural Contracting Company (MACC) camp near KAUST. The project utilizes Meta's Terragraph technology, a gigabit wireless system operating in the 57-71GHz band, to provide a low-cost, high-speed alternative to fiber. Weather stations will monitor climate variables affecting the hybrid RF/FSO links, validating KAUST's research in extreme bandwidth communication. Why it matters: This deployment demonstrates a practical solution for delivering affordable, high-speed internet access to underserved communities in the region, leveraging advanced wireless technologies and KAUST's research capabilities.
Joonhyuk Kang from KAIST gave a presentation at MBZUAI on AI's impact on wireless communication. The talk covered how communication systems can improve AI and how AI can develop wireless systems. Kang's research interests include signal processing for information transmission, security, and machine cognition. Why it matters: This talk highlights the growing intersection of AI and communication technologies in the region, with potential applications for smart cities and autonomous systems.