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Displaying 51 - 75 of 1204

Adaptive Channel-State-Information Feedback in Integrated Sensing and Communication Systems

August 28, 2023
Author(s)
Neeraj Varshney, Samuel Berweger, Jack Chuang, Steve Blandino, Jian Wang, Neha Pazare, Camillo Gentile, Nada T. Golmie
Efficient design of integrated sensing and communication systems can minimize signaling overhead by reducing the size and/or rate of feedback in reporting channel state information (CSI). To minimize the signaling overhead when performing sensing

A Deep Learning Framework for Industrial Wireless Networks

July 25, 2023
Author(s)
Mohamed Hany, Rick Candell
In this report, we introduce a framework to analyze, monitor, and identify the state of industrial wireless networks and their impact on industrial use cases. This framework is based on a deep learning approach for modeling the interactions between the

Wideband Cyclostationary Spectrum Analysis for Smart Factory Wireless Channels

July 5, 2023
Author(s)
Peter Vouras, Mohamed Hany, Rick Candell
Smart and highly automated factories rely on time sensitive networks (TSNs) to coordinate the actions of robots working together to complete a task. The dense layout of metallic objects on the factory floor creates a complex electromagnetic environment

Microwave Characterization of Parylene C Dielectric and Barrier Properties

June 29, 2023
Author(s)
Nikolas Dale Barrera, Jacob Pawlik, Eugene Yoon, James Booth, Christian Long, Nathan Orloff, Ellis Meng, Angela Stelson
Parylene C thin films are commonly used as a passivation layer, protective coating, or substrate material in implantable medical devices. However, fluid or vapor may permeate through Parylene C films over time through defects, film edges, or bulk diffusion

Recommended Practices for Calibrated Millimeter-Wave Modulated-Signal Measurements

June 14, 2023
Author(s)
Paritosh Manurkar, Joshua Kast, Dylan Williams, Rob Horansky, Dan Kuester, Kate Remley
In a millimeter-wave modulated-signal measurement system with several calibration reference planes, we want the measured signal to be a close replica of the ideal signal at the reference plane which connects the near-ideal measured signal to subsequent

Industrial Wireless Cyberphysical Systems Performance Using Deep Learning

June 12, 2023
Author(s)
Mohamed Hany, Rick Candell, Karl Montgomery
Industrial wireless communications networks have a major role in the future industrial cyber-physical systems (CPSs) to have higher flexibility and massive machine connectivity. However, the impact of the industrial wireless on the reliability and latency

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

Practical Correlation-Matrix Approaches for Standardized Testing of Wireless Devices in Reverberation Chambers

March 30, 2023
Author(s)
Kate Remley, Sara Catteau, Ahmed Hussain, Carnot Nogueira, Mats Kristoffersen, John Kvarnstrand, Brett Horrocks, Jonas Friden, Rob Horansky, Dylan Williams
We extend the autocorrelation-based approaches currently used in standards to full correlation matrix-based approaches in order to identify correlation between both spatially adjacent and non-adjacent samples in reverberation-chamber measurements. We

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures

March 28, 2023
Author(s)
Peter Vouras, Kumar Vijay Mishra, Aly Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian
Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone, are leading to novel research avenues in several

On Predistortion Filtering for Switched Beamforming With Phased-Array Antennas

March 26, 2023
Author(s)
Jack Chuang, Camillo Gentile
In recent work, we proposed sweeping the antennas of phased arrays and beamforming in postprocessing – what we coined switched beamforming – instead of sweeping beams through analog beamforming – what the arrays are designed for. Not only is it orders of

Optimized Sparse Sampling Lattices

March 7, 2023
Author(s)
Peter Vouras, Mohamed Hany, Sudantha Perera, Carnot Nogueira, Rick Candell, Kate Remley
Sparse sampling approaches have been widely studied to achieve less complex measurement systems while maintaining detection performance. In this paper, we derive a new gradient implementation of an alternating projections algorithm that determines the

Wideband Synthetic Aperture Test Bed for Intelligent Reflecting Surfaces

March 7, 2023
Author(s)
Peter Vouras, Mohamed Hany, Sudantha Perera, Carnot Nogueira, Rick Candell, Kate Remley
This paper describes a spherical beamforming implementation for wideband synthetic aperture channel sounders that can be used to predict the scattering performance of an Intelligent Reflection Surface (IRS). An IRS creates controlled propagation conditions
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