activity
20182022
most citedByzantine-Fault-Tolerant Consensus via Reinforcement Learning for Permissioned Blockchain Implemented in a V2X Network

6 citations · 10 across the 9 of their papers we have counts for

collaborators

10 papers

cs.NI2022★ 1 cited

Impact of Device Thermal Performance on 5G mmWave Communication Systems

Muhammad Iqbal Rochman, Damian Fernandez, Norlen Nunez +4

5G millimeter wave (mmWave) cellular networks have been reported to deliver 1-2 Gbps downlink throughput, via speed-tests. However, these speed-tests capture only a few seconds of…

cs.NI2021★ 1 cited

A Comparison Study of Cellular Deployments in Chicago and Miami Using Apps on Smartphones

Muhammad Iqbal Rochman, Vanlin Sathya, Norlen Nunez +4

Cellular operators have begun deploying 5G New Radio (NR) in all available bands: low (< 1 GHz), mid (1 - 6 GHz), and high (> 24 GHz) to exploit the different capabilities of each.…

eess.SP2021★ 1 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.SP2021★ 1 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…