AI for Wireless Communication Research AI for Wireless Communication AI for Radio Access Networks (AI-RAN) and Open RAN (O-RAN) represent key enablers for next-generation wireless systems, introducing intelligence, adaptability, and openness into network design and operation. AI-RAN, with its machine learning capability, and O-RAN, with its open and interoperable architecture, foster flexibility, vendor diversity, and innovation in RAN deployment. We’re currently updating this section. More content and visuals will be added soon.
Digital Twin For Wireless Communication Research Digital Twin For Wireless Communication Digital Twin (DT) in wireless communication refers to a high-fidelity virtual replica of a physical communication environment that enables real-time monitoring, analysis, and optimization of wireless systems. By bridging the physical and digital domains, DTs provide significant advantages such as predictive system behavior, performance enhancement, rapid prototyping, and reduced testing costs. At CCSL, we are developing DT frameworks across various scenarios, including both indoor and outdoor wireless environments, with a particular focus on real-time DT
Near-Field Communication Research Near-Field Communication Near-field wireless communication refers to the regime where the transmitter and receiver operate at distances comparable to the electromagnetic wavelength, making conventional far-field assumptions invalid. This opens opportunities for high-capacity, spatially selective communication and precise sensing due to the richer spatial degrees of freedom. We’re currently updating this section. More content and visuals will be added soon.
Research Research The Communication and Computing Systems Lab (CCSL) at KAUST is led by Professor Ahmed Eltawil. The research focus of the group lies in the area of efficient architectures for mobile computing and communications systems. Our philosophy is to employ a multidisciplinary approach to the design and development of mobile systems spanning algorithm, architecture and implementation. The goal is to simultaneously address two seemingly diverging trends. The first trend is concerned with efficient, high data rate broadband wireless systems driven by continuously expanding networking applications. The
Sensing and Localization Research Sensing and Localization Sensing, localization, and integrated sensing and communication (ISAC) are emerging paradigms in wireless communication that extend networks beyond connectivity to include environment awareness and precise positioning. These capabilities enable advantages such as improved situational awareness, enhanced security, and efficient spectrum utilization. We’re currently updating this section. More content and visuals will be added soon.
