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Search Publications by: Raied Caromi (Fed)

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Displaying 1 - 17 of 17

Quasi-Deterministic Channel Propagation Model for Human Sensing: Gesture Recognition Use Case

July 9, 2025
Author(s)
Jack Chuang, Raied Caromi, Jelena Senic, Samuel Berweger, Neeraj Varshney, Jian Wang, Anuraag Bodi, Camillo Gentile, Nada Golmie
We describe a quasi-determinstic channel propagation model for human gesture recognition reduced from real-time measurements with our context aware channel sounder, considering four human subjects and 20 distinct body motions, for a total of 120,000

Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud

August 2, 2024
Author(s)
Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Hang Mi, Bo Ai, Ruisi He
Millimeter-wave (MmWave) channel characteristics are quite different from sub-6 GHz frequency bands. The major differences include higher path loss and sparser multipath components (MPCs), resulting in more significant time-varying characteristics in

AI-Based Environment Segmentation Using a Context-Aware Channel Sounder

April 26, 2024
Author(s)
Anuraag Bodi, Samuel Berweger, Raied Caromi, Jihoon Bang, Jelena Senic, Camillo Gentile
We describe how the data acquired from the camera and Lidar systems of our context-aware radio-frequency (RF) channel sounder is used to reconstruct a 3D mesh of the surrounding environment, segmented and classified into discrete objects. First, the images

Context-Aware Channel Sounder for AI-Assisted Radio-Frequency Channel Modeling

April 26, 2024
Author(s)
Camillo Gentile, Jelena Senic, Anuraag Bodi, Samuel Berweger, Raied Caromi, Nada Golmie
We describe a context-aware channel sounder that consists of three separate systems: a radio-frequency system to extract multipaths scattered from the surrounding environment in the 3D geometrical domain, a Lidar system to generate a point cloud of the

Cluster Association for 3D Environment Based on 60 GHz Indoor Channel Measurements

May 31, 2023
Author(s)
Raied Caromi, Jian Wang, Anuraag Bodi, Camillo Gentile
In this paper, we present a ray tracing (RT) assisted multipath cluster association method. This work is based on an indoor channel measurement at 60 GHz, where a light detection and ranging (LiDAR) sensor was co-located with channel sounder and time

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 interference. Thus, it is important to select accurate propagation models for interference calculation

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 caused by the lower tier users. Within the current CBRS standards developed by the Wireless

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 detection performance using both simulated and experimental test data. The proposed tools and

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 rotation in virtual reality applications. Virtual Reality (VR) promises immersive experience in diverse

RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band

December 17, 2019
Author(s)
Raied Caromi, Michael R. Souryal, Timothy Hall
This Radio Frequency (RF) dataset consists of synthetically generated waveforms of incumbent 3.5 GHz radar systems. The intended use of the dataset is for developing and evaluating detectors for the 3.5 GHz Citizens Broadband Radio Service (CBRS) or

DETECTION OF INCUMBENT RADAR IN THE 3.5 GHZ CBRS BAND

November 25, 2018
Author(s)
Raied Caromi, Michael R. Souryal, Wen-Bin Yang
In the 3.5 GHz Citizens Broadband Radio Service, 100 MHz of spectrum will be shared between commercial users and federal incumbents. Dynamic use of the band relies on a network of sensors dedicated to detecting the presence of federal incumbent signals and

3.5 GHz ESC Sensor Test Apparatus Using Field-Measured Waveforms

November 14, 2018
Author(s)
Raied Caromi, John Mink, Cosburn H. Wedderburn, Michael R. Souryal, Naceur El Ouni
This paper presents a framework and apparatus for laboratory testing of environmental sensing capability (ESC) sensors for the 3.5 GHz band. These sensors are designed to detect federal incumbent signals in the band so that the federal incumbent can be

Instructions for Running the RF Sensor Test Harness

November 8, 2018
Author(s)
Cosburn H. Wedderburn, Raied Caromi, Michael R. Souryal
This document is a step-by-step set of instructions for downloading and operating the RF Sensor Test Harness. The RF Sensor Test Harness consists of a Python web server, LabVIEW server (LabVIEW player), and a web browser. The player accepts the waveforms

3.5 GHz Waveform Generation for Testing and Development of ESC Detectors

November 17, 2017
Author(s)
Raied M. Caromi, John Mink, Michael R. Souryal
Environmental Sensing Capability (ESC) sensors will be used in the 3.5 GHz Citizens Broadband Radio Service (CBRS) to detect and report the presence of federal incumbent radar signals in 100 MHz of spectrum. Unlike traditional radar detection schemes, ESC
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