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Xiaowen Qi, Jing Geng, Mohamed Hany, Shuvra Bhattacharyya, Rick Candell
Internet of Things (IoT) technologies have impacted many fields by opening up much deeper and more extensive integration of communications connectivity, sensing, and embedded processing. The industrial sector is among the areas that have been impacted
Paritosh Manurkar, Dan Kuester, Joshua Kast, Rob Horansky
We present an experimental approach to design an over-the-air (OTA) millimeter-wave measurement of error vector magnitude (EVM) and associated uncertainties that include correlations and nonlinearities. Our approach uses a waveguide-variable attenuator at
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
Anmol Bhardwaj, Jack Chuang, Camillo Gentile, Chiehping Lai
A wireless channel is wide-sense stationary (WSS) when the mean and autocorrelation of its small-scale fading are displacement invariant. This occurs when the channel is rich in propagation paths – their complex summation averages out any displacement
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
Tao Zhang, Jialin Wan, Sen Lin, Zhaofeng Zhang, Junshan Zhang
5G and Beyond (B5G) technology promises to offer ultra-reliable low-latency communications (URLLC) services, which opens the door for a wide variety of new real-time applications. Real-time traffic has stringent requirements in terms of latency, and low
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
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
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
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
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
Rick Candell, Karl Montgomery, Mohamed Hany, Susruth Sudhakaran, Dave Cavalcanti
Time-sensitive networking (TSN) is emerging as a viable means to achieving deterministic quality of service (QoS) communications within mission critical industrial applications such as feedback control systems, robotics, and precision sensing and actuation
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
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
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
We present an exploration of the time parameters observed in measurements performed at 13 residential sites from June 2020 through September 2021. This discussion is undertaken from the perspective of application to electromagnetic immunity testing for
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
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
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
Mohamed Hany, Sudantha Perera, Carnot Nogueira, Rick Candell, Kate Remley, Matt Simons
Industrial wireless channels have different characteristics than home and office channels due to their reflective nature. Moreover, the millimeter-wave (mmWave) wireless bands can play a big role in improving industrial wireless systems due to their large
Kate Remley, Peter Vouras, Ben Jamroz, Alec Weiss, Jeanne Quimby, Dylan Williams, Rod Leonhardt, Damla Guven, Rob Jones, Joshua Kast
This paper describes a wideband synthetic-aperture system and the associated Fourier processing for generating high-resolution spatial and temporal estimates of the signal propagation environment in wireless communication channels at millimeter-wave
Steve Blandino, Tanguy Ropitault, Anirudha Sahoo, Nada T. Golmie
IEEE 802.11bf amendment is defining the Wireless Local Area Network (WLAN) sensing procedure, which supports sensing in license-exempt frequency bands below 7 GHz and above 40GHz. In this paper, we examine WLAN sensing in the millimeter wave band, i.e.,
Human blockage at millimeter-wave frequencies is most commonly modeled through Knife-Edge Diffraction (KED) from the edges of a vertical strip. Although extensively validated through controlled laboratory experiments, the method does not scale to realistic
The COrona VIrus Disease – 2019 (COVID-19) pandemic has had a profound effect on the entire world. With the onset of the pandemic in 2020, also started various efforts around the world to automate the contact tracing process to increase its efficacy. Most
The millimeter-wave (mmWave) channel is often assumed to be sparse due to significant diffraction losses compared to microwave bands resulting in fewer paths reaching the receiver. While the sparsity property has been used in a significant amount of