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Search Publications by: Anuraag Bodi (IntlCtr)

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Displaying 1 - 12 of 12

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

Digital-Twin-Assisted Clustering of Radio-Frequency Multipath Components

June 26, 2025
Author(s)
Anuraag Bodi, Jihoon Bang, Neeraj Varshney, Samuel Berweger, Chiehping Lai, Jelena Senic, Jack Chuang, Camillo Gentile
Clustering radio-frequency (RF) multipath components (MPCs) fosters compact channel models by capturing the geometry of the scattering environment, yet "blind" methods based solely on RF data struggle to associate MPCs with individual scatterers. We

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

Penetration Loss at 60 GHz for Indoor-to-Indoor and Outdoor-to-Indoor Mobile Scenarios

July 8, 2020
Author(s)
Sung Yun Jun, Derek Caudill, Jack Chuang, Peter B. Papazian, Anuraag Bodi, Camillo Gentile, Jelena Senic, Nada T. Golmie
This paper investigates the penetration loss of an office building in indoor-to-indoor and outdoor-to-indoor mobile scenarios. The measurements were collected using our 60-GHz double- directional switched-antenna channel sounder. During measurement, the

System Distortion Model for the Cross-Validation of Millimeter-Wave Channel Sounders

March 31, 2019
Author(s)
Camillo Gentile, Andreas Molisch, Jack Chuang, Anuraag Bodi, Anmol Bhardwaj, Ozgur Ozdemir, Ismail Guvenc, Zihang Cheng, Thomas Choi, Robert Mueller
Because millimeter-wave directional channel measurements are time-consuming and expensive to collect, there is considerable interest in combining measurement data obtained with different channel sounders in order to yield more comprehensive datasets. The
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