Search Results for author: Ahmed P. Mohamed

Found 4 papers, 2 papers with code

Simulation-Enhanced Data Augmentation for Machine Learning Pathloss Prediction

no code implementations3 Feb 2024 Ahmed P. Mohamed, Byunghyun Lee, Yaguang Zhang, Max Hollingsworth, C. Robert Anderson, James V. Krogmeier, David J. Love

To alleviate these challenges, this paper introduces a novel simulation-enhanced data augmentation method for ML pathloss prediction.

Data Augmentation

Data-Driven Subsampling in the Presence of an Adversarial Actor

no code implementations7 Jan 2024 Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Jinho Yi, Aly El Gamal, Akshay Malhotra

In this paper, we investigate the effects of an adversarial attack on an AMC system that employs deep learning models both for AMC and for subsampling.

Adversarial Attack Adversarial Robustness

Knowledge Distillation For Wireless Edge Learning

1 code implementation3 Apr 2021 Ahmed P. Mohamed, Abu Shafin Mohammad Mahdee Jameel, Aly El Gamal

In this paper, we propose a framework for predicting frame errors in the collaborative spectrally congested wireless environments of the DARPA Spectrum Collaboration Challenge (SC2) via a recently collected dataset.

Cloud Computing Federated Learning +2

Deep Learning for Frame Error Prediction using a DARPA Spectrum Collaboration Challenge (SC2) Dataset

1 code implementation22 Mar 2020 Abu Shafin Mohammad Mahdee Jameel, Ahmed P. Mohamed, Xiwen Zhang, Aly El Gamal

We demonstrate a first example for employing deep learning in predicting frame errors for a Collaborative Intelligent Radio Network (CIRN) using a dataset collected during participation in the final scrimmages of the DARPA SC2 challenge.

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