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Displaying 51 - 75 of 776

On Comparing Interference Impacts

October 9, 2024
Author(s)
Aric Sanders, Michelle Pirrone, Keith Forsyth, Adam Wunderlich
Interference between communication systems is a critical issue that can impact performance and operability of devices. A wide range of methods and testbeds have been developed to study susceptibility to interference, and each of these testbeds and their

Summary Report: CHIPS R&D Program Standards Summit

September 27, 2024
Author(s)
Mary Bedner, Chris Greer
The mission of the National Institute of Standards and Technology's (NIST) CHIPS Research and Development Office (CHIPS R&D) under the Department of Commerce's CHIPS for America Program is to accelerate the development and commercial deployment of

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

September 16, 2024
Author(s)
Noah Schlossberger, Samuel Berweger, Nikunjkumar Prajapati, Andrew Rotunno, Alexandra Artusio-Glimpse, Matthew Simons, Abrar Sheikh, Eric Norrgard, Stephen Eckel, Christopher Holloway
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields. Over the

Mapping Industrial Wireless Deployments onto Individual Use Cases

August 27, 2024
Author(s)
Mohamed Hany, Rick Candell
Industrial wireless is crucial for the vision of increased intelligence in industrial automation and enhanced connectivity in various industrial scenarios. Although general requirements are usually defined for deploying industrial wireless networks in

An Industrial Private 5G Testbed for Networked Automation Systems

August 22, 2024
Author(s)
Jing Geng, Mohamed Hany, Rick Candell
Interest in integrating wireless communication capabilities into industrial Cyber-Physical Systems (CPS) has surged recently. Driven by advantages like ease of deployment, reduced maintenance costs, and asset mobility, CPSs now employ wireless

A Simulation Study of mmWave 5G-enabled Medical Extended Reality (MXR)

August 12, 2024
Author(s)
Tanguy Ropitault, Yongkang Liu, Richard Rouil, Mohamad Omar Al Kalaa
Medical extended reality (MXR) offers innovative healthcare delivery in a variety of clinical contexts. 5G-enabled MXR refers to the use of 5G connectivity to enable MXR functions by connecting multiple MXR device components, servers, and collaborators

Evolving Open RAN Interoperability: A Large-Scale Definition

August 12, 2024
Author(s)
Azizollah Kord, Jason Coder, Vu Le
Open RAN technology has tremendous potential to spur innovation, increase competition and flexibility, and reduce the cost of cellular systems. Today, the interoperability of the Open The RAN ecosystem is one of the most significant challenges facing this

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

Super-resolution Localization and Tracking in WiFi Sensing

July 29, 2024
Author(s)
Jian Wang, Jack Chuang, Nada Golmie
Integrated sensing and communication (ISAC) systems have been investigated by the research and standardization communities in the recent past. Accurate localizing the target and tracking the target's movement are critical for numerous smart Internet of

Energy Efficiency Scaling for 2 Decades (EES2) Roadmap for Computing

July 14, 2024
Author(s)
Jim Booth
Abstract—In response to the looming crisis in global energy consumption required for advanced computing applications, the United States Department of Energy (DOE) Advanced Materials and Manufacturing Technology Office (AMMTO) is leading a national effort

Advancing Methodologies for Hurricane Disaster Research Using Social Media Data

May 29, 2024
Author(s)
Emina Herovic, Caerwyn Hartten, Emily Walpole, Katherine Johnson, Cameron Busser
The National Institute of Standards and Technology's (NIST) investigations of disasters and failures that affect the United States including devastating hurricanes like Hurricane Maria (NIST, 2023), require the assessment of risk communication, especially

Wireless Deployment Challenges in Construction: A 5G Strategy

May 20, 2024
Author(s)
Richard Candell, Mohamed Hany, Jing Geng, Karl Montgomery
In the construction context, integrating 5G networks presents numerous challenges. Tiis article explores deploying wireless communication networks within construction projects, introducing a comparison approach to assess deployment difficulty at each

A 0.1 GHz to 1.1 THz Inverted Grounded-CPW mTRL Calibration Kit Characterization in an InP HBT Process

May 13, 2024
Author(s)
Jerome Cheron, Rob Jones, Dylan Williams, Miguel Urteaga, Bryan Bosworth, Nick Jungwirth, Jeffrey Jargon, Ben Jamroz, Chris Long, Nate Orloff, Ari Feldman, Peter Aaen
We report a novel design approach of on-wafer multiline thru-reflect-line (mTRL) calibration kit fabricated on a commercial semiconductor-based transistor process that we validate from 0.1 GHz to 1.1 THz. The on-wafer calibration standards are designed

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Andrew Rotunno, Aly Artusio-Glimpse, Abrar Sheikh, Eric Norrgard, Christopher L. Holloway, Stephen Eckel
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

Rydberg states of alkali atoms in atomic vapor as SI-traceable field probes and communications receivers

May 8, 2024
Author(s)
Noah Schlossberger, Nik Prajapati, Samuel Berweger, Aly Artusio-Glimpse, Matt Simons, Abrar Sheikh, Andrew Rotunno, Eric Norrgard, Stephen Eckel, Christopher L. Holloway
Rydberg states of alkali atoms are highly sensitive to electric fields because their electron wavefunction has a large spatial extent, leading to large polarizabilities for static fields and large transition dipole moments for time-varying fields

Collection Methods for High-SNR I/Q Recordings of FDD LTE User Equipment Emissions

May 3, 2024
Author(s)
Keith Forsyth, Aric Sanders, Dan Kuester, Adam Wunderlich
This report documents collection methods for high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted

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

Empirical Characterization of Doppler in Industrial Wireless Channels

April 16, 2024
Author(s)
Dreyelian Morejon, Jon Montalban, Eneko Iradier, Mohamed Hany, Rick Candell, Pablo Angueira
This paper analyzes the temporal variation of the radio propagation channel in industrial environments. The results have been obtained by processing empirical data from the National Institute of Standards and Technology (NIST) in a field measurement

A Data Collection Platform for Network Management

April 2, 2024
Author(s)
Amar Abane, Abdella Battou, Abderrahim Amlou, Tao Zhang
Network management relies on extensive monitoring of network state to analyze network behavior, design optimizations, plan upgrades, and conduct troubleshooting. Network monitoring collects various data from network devices through different protocols and
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