activity
20232025
most citedDeep Complex-valued Neural-Network Modeling and Optimization of Stacked Intelligent Surfaces

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Nonlinear Stacked Intelligent Surfaces for Wireless Systems

Omran Abbas, Abdullah Zayat, Loıc Markley +1

Stacked intelligent surfaces (SIS) are a promising technology for next-generation wireless systems, offering an opportunity to enhance communication performance with low power cons…

eess.SP2025

Delay-Augmented Stacked Intelligent Surfaces: Potential, Challenges, and Opportunities

Hibatallah Alwazani, Omran Abbas, Loic Markley +1

Stacked intelligent surfaces (SIS)s have been proposed recently as an enabling technology for Holographic Multiple Input Multiple Output (HMIMO) and Ultra-massive MIMO (umMIMO) tec…

cs.IT2025★ 2 cited

Deep Complex-valued Neural-Network Modeling and Optimization of Stacked Intelligent Surfaces

Abdullah Zayat, Omran Abbas, Loic Markley +1

We propose a complex-valued neural-network (CV-NN) framework to optimally configure stacked intelligent surfaces (SIS) in next-generation multi-antenna systems. Unlike conventional…

eess.SP2024

A Tunable Reflection Surface with Independently Variable Phase and Slope

Omran Abbas, Anas Chaaban, Loic Markley

A reconfigurable intelligent surface (RIS) is an essential component in the architecture of the next generation of wireless communication systems. An RIS is deployed to provide a c…

cs.IT2023

Unit Cell Phase-Frequency Profile Optimization in RIS-Assisted Wide-Band OFDM Systems

Omran Abbas, Qurrat-Ul-Ain Nadeem, Loïc Markley +1

The reflection characteristics of a reconfigurable intelligent surface (RIS) depend on the phase response of the constituent unit cells, which is necessarily frequency dependent. T…