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Abla Kammoun
Researcher at King Abdullah University of Science and Technology
Publications - 211
Citations - 4355
Abla Kammoun is an academic researcher from King Abdullah University of Science and Technology. The author has contributed to research in topics: MIMO & Estimator. The author has an hindex of 29, co-authored 201 publications receiving 3103 citations. Previous affiliations of Abla Kammoun include University of Paris & Supélec.
Papers
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Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems
TL;DR: In this paper, the authors studied the minimum signal-to-interference-plus-noise ratio (SINR) achieved by the optimal linear precoder (OLP) that maximizes the minimum SINR subject to a given power constraint for any given RIS phase matrix.
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Intelligent Reflecting Surface Assisted Multi-User MISO Communication: Channel Estimation and Beamforming Design
Qurrat-Ul-Ain Nadeem,Hibatallah Alwazani,Abla Kammoun,Anas Chaaban,Merouane Debbah,Mohamed-Slim Alouini +5 more
TL;DR: This paper exploits the prior knowledge of the large-scale fading statistics at the BS to derive the Bayesian minimum mean squared error (MMSE) channel estimates under a protocol in which the IRS applies a set of optimal phase shifts vectors over multiple channel estimation sub-phases.
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Asymptotic Max-Min SINR Analysis of Reconfigurable Intelligent Surface Assisted MISO Systems.
TL;DR: Simulation results show that RISs can outperform half-duplex relays with a small number of passive reflecting elements while large RISs are needed to outperform full-duple relays.
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Linear Precoding Based on Polynomial Expansion: Large-Scale Multi-Cell MIMO Systems
TL;DR: This paper uses random matrix theory to derive a deterministic expression of the asymptotic signal-to-interference-and-noise ratio for each user based on channel statistics and provides an optimization algorithm to approximate the coefficients that maximize the network-wide weighted max-min fairness.
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Unified Statistical Channel Model for Turbulence-Induced Fading in Underwater Wireless Optical Communication Systems
TL;DR: This is the first-ever comprehensive channel model addressing the statistics of optical beam irradiance fluctuations in underwater wireless optical channels due to both air bubbles and temperature gradient, and it is shown to provide a perfect fit with the measured data under all channel conditions for both types of water.