optimization

Chaabane Mankai

M.S. Student, Electrical and Computer Engineering

Wireless Communications optimization Performance analysis network security

Surrounded by bright minds and groundbreaking research, KAUST is a great place to learn and grow.

Ahmed Youssef Ragab Radwan

Visiting Student (former), Information Science Lab

artificial intelligence TinyML optimization deep learning

Visiting student at the Information Science Lab, in the Electrical Engineering Department, CEMSE, King Abdullah University of Science and Technology (KAUST)

Spectrum Management for Future Generations of Cellular Networks

Itsikiantsoa Randrianantenaina, Ph.D., Electrical and Computer Engineering

Jul 8, 08:30 - 10:30

B1 L2 R2202

Wireless Communications Stochastic Geometry optimization Cellular Networks

The demand for wireless communication is ceaselessly increasing in terms of the number of subscribers and services. Future generations of cellular networks are expected to allow not only humans but also machines to be immersively connected. However, the radio frequency spectrum is already fully allocated. Therefore, developing techniques to increase spectrum efficiency has become necessary. In that context, this dissertation analyzes two spectrum sharing techniques that enable efficient utilization of the available radio resources in cellular networks. The first technique, called full-duplex (FD) communication, uses the same spectrum to transmit and receive simultaneously. The second spectrum sharing technique, called non-orthogonal multiple access (NOMA), allows a transmitter to communicate with multiple receivers through the same frequency-time resource unit.

Itsikiantsoa Randrianantenaina

Ph.D., Electrical and Computer Engineering

Cooperative communications Wireless Communications optimization Cellular Networks

Itsikiantsoa Randrianantenaina received the Engineering Diploma degree from the Institut National des Postes et Telecommunications, Rabat, Morocco, in 2013, and the M.S. degree in electrical engineering from the King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, from June 2015- June 2019, where she earned the Ph.D. degree and Joined NEOM, Saudi Arabia, as a Research Engineer after graduation. Her research interests include full-duplex and NOMA systems, interference management, FogRAN architecture, stochastic geometry, and optimization. Education Profile Ph.D

Ahmed Douik

M.S. (former), Computer, Electrical and Mathematical Sciences and Engineering

optimization non-convex methods machine learning cloud-radio access networks network coding Cooperative communications Broadcast and Multicast Networks

Visiting B.S. Student, Computer, Electrical and Mathematical Sciences and Engineering , Quantitative Researcher at Chicago Trading Company PhD candidate at California Institute of Technology