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20182021
most citedA Comparison Study of Cellular Deployments in Chicago and Miami Using Apps on Smartphones

1 citations · 3 across the 6 of their papers we have counts for

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7 papers · 1 filter

eess.SP20211 cited

Geometric Machine Learning for Channel Covariance Estimation in Vehicular Networks

Imtiaz Nasim, Ahmed S. Ibrahim

Learning the covariance matrices of spatially-correlated wireless channels, in millimeter-wave (mmWave) vehicular communication, can be utilized in designing environmen-taware beam…

eess.SP20211 cited

A Fast Graph Kernel Based Classification Method for Wireless Link Scheduling on Riemannian Manifold

Rashed Shelim, Ahmed S. Ibrahim

In this paper, we propose a novel graph kernel method for the wireless link scheduling problem in device-to-device (D2D) networks on Riemannian manifold. The link scheduling proble…

eess.SP2021

Wireless Link Scheduling via Interference-aware Symmetric Positive Definite Connectivity Manifolds

Ahmed S. Ibrahim

In this paper, we investigate the fundamental problem of wireless link scheduling in device-to-device (D2D) networks, through the lens of Riemannian geometry. Our goal is to find a…

eess.SP2020

Rethinking Maximum Flow Problem and Beamforming Design through Brain-inspired Geometric Lens

Ahmed S. Ibrahim

Increasing data rate in wireless networks can be accomplished through a two-pronged approach, which are 1) increasing the network flow rate through parallel independent routes and…

eess.SP2019

Interference Management in UAV-assisted Integrated Access and Backhaul Cellular Networks

Abdurrahman Fouda, Ahmed S. Ibrahim, Ismail Guvenc +1

An integrated access and backhaul (IAB) network architecture can enable flexible and fast deployment of next-generation cellular networks. However, mutual interference between acce…

eess.SP2019

Ray Tracing Analysis for UAV-assisted Integrated Access and Backhaul Millimeter Wave Networks

Alberto Perez, Abdurrahman Fouda, Ahmed S. Ibrahim

The use of Millimeter-wave (mmWave) spectrum in cellular communications has recently attracted growing interest to support the expected massive increase in traffic demands. However…