Raied Caromi

Publications

Deep Learning for Path Loss Prediction at 7 GHz in Urban Environment

April 3, 2023

Author(s)

Thao T. Nguyen, Nadia Yoza Mitsuishi, Raied Caromi

In the 6 GHz spectrum sharing band, unlicensed devices are managed by automated frequency coordination (AFC) systems to protect incumbent services from

Deep Learning for Path Loss Prediction in the 3.5 GHz CBRS Spectrum Band

May 19, 2022

Author(s)

Thao T. Nguyen, Raied Caromi, Kassem Kallas

In the 3.5 GHz citizen broadband radio service (CBRS) band, accurate path loss prediction is very important to protect the incumbent from harmful interference

Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band

January 20, 2022

Author(s)

Raied Caromi, Alex Lackpour, Kassem Kallas, Thao T. Nguyen

This paper presents a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their

Head Rotation Model for VR System Level Simulations

January 10, 2022

Author(s)

Steve Blandino, Tanguy Ropitault, Raied Caromi, Nada T. Golmie

The paper proposes a flexible mathematical time-correlated model, by leveraging experimental data adopted from recent measurements, to describe the head

Reference Data Sets for Training and Evaluating RF Signal Detection and Classification Models

March 5, 2020

Author(s)

Timothy Hall, Raied M. Caromi, Michael R. Souryal, Adam J. Wunderlich

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Raied Caromi (Fed)

Publications