ESR 13

CNRS

Abdelhamed Mohamed

Biography

Mohamed Sayed received his BSc in Electronics and Communication Engineering, Excellent with honours, in 2011 at Menofia University. He received his Masters form Menofia University in 2016. His MS thesis was devoted to the topic of adaptive spectrum assignment for wireless networks. In doing so, He has one journal paper and two conference papers dealing with the problem of resource allocation for cognitive radio networks. He also held the position of an assistant lecture at the Electronic and Electrical communications Department, Faculty of Electronic Engineering, Menofia University form Feb. 2012 to Jul. 2019. Since August 2019, he joined CNRS Paris and CentraleSupelec (Paris-Saclay University) at the Lab of Signals and Systems (L2S) as a Marie-Curie Early Stage Researcher (ESR #13) for the European INT Project PAINLess, for which his research work will focus on the topic of Network-Level Modelling and Optimisation of EN Ultra-Dense terrestrial HetNets based on SWIPT and Renewables.

 

Research updates – Period 1

The research activity of ESR-13 recruited by CNRS is concerned with the research topic ““Network-Level Modelling and Optimization of EN Ultra-Dense terrestrial HetNets based on SWIPT and Renewables”.

In the depicted context, the research activity of ESR-13 recruited by CNRS has been concerned with the development of an optimization framework for maximizing, simultaneously, the sum transmission rate and the sum harvested energy of a SWIPT-enabled wireless networks. In particular, ESR-13 has focused his attention on understanding the potential opportunities offered by the emerging technology of reconfigurable intelligent surfaces (RISs), which promises the further reduction of the transmit power thanks to the use of passive reflecting elements. To this end, ESR-13 has studied the theory of convex optimization and multi-objective optimization, as well as the technology enablers of SWIPT and RISs. ESR-13 has developed an efficient iterative optimization algorithm for network optimization and has analyzed the performance tradeoffs offered by SWIPT and RISs in dense cellular network deployments.

Contacts

abdelhamed.abdelhamed@l2s.centralesupelec.fr

Supervisor

Marco di Renzo, Marco.DIRENZO@l2s.centralesupelec.fr

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