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Displaying 51 - 75 of 757

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

Automated Network Programmability Using OpenConfig YANG Models and NETCONF Protocol

April 2, 2024
Author(s)
Abderrahim Amlou, Amar Abane, Mheni Merzouki, Lydia Ait Oucheggou, Zineb Maasaoui, Abdella Battou
This paper introduces a microservice-based architecture designed to enable automation of network programmability and management. Amid the complexity of today's networks and the diversity of equipment, achieving efficient and reliable network

Cyclostationary Channel Power Measurements for CBRS Coexistence Assessment

March 31, 2024
Author(s)
Dan Kuester, Anthony Romaniello, PETER MATHYS
We present a compressive approach for channel power measurements in coexistence scenarios involving heterogeneous cyclostationary channel usage and an example application in the Citizens Broadband Radio Service (CBRS) band. The method leverages known cycle

NIST Multi-Domain Knowledge Planes for Service Federation for 5G & Beyond Public Working Group: Applications to Federated Autonomic/Autonomous Networking

March 13, 2024
Author(s)
Robert B. Bohn, Tao Zhang, Abdella Battou, Ranganai Chaparadza, Taesang Choi, Baek-Young Choi, Hisham Kholidy, SeungKyu Go, Moonkook Park, Sejun Song
The National Institute of Standards and Technology (NIST) is an agency of the United States Department of Commerce. Transformational Networks and Services group of NIST's Communication Technology Laboratory's Smart Connected Systems Division, has formed

Towards Opportunistic Radar Sensing Using Millimeter-wave WiFi

January 1, 2024
Author(s)
Jian Wang, Jack Chuang, Samuel Berweger, Camillo Gentile, Nada T. Golmie
Sensing with communication waveforms has drawn growing interest thanks to the ubiquitous availability of wireless networks. However, the required sensing resources may not always be available in a communication system. In addition, the communication system

System-Level Evaluation of 5G NR UE-Based Relays

December 25, 2023
Author(s)
Samantha Gamboa Quintiliani, Aziza Ben Mosbah, Wesley Garey, Chunmei Liu, Richard A. Rouil
The notion of UE-based relays started with the introduction of Proximity Services (ProSe) and Device-to-Device (D2D) communication, and evolved with the adaptation of the Fifth Generation (5G) New Radio (NR) interface. While the main goal of relays is to

Facilitating Stakeholder Communication around AI-Enabled Systems and Business Processes

November 21, 2023
Author(s)
Edward Griffor, Matthew Bundas, Chasity Nadeau, Jeannine Shantz, Thanh Nguyen, Marcello Balduccini, Tran Son
Artificial Intelligence (AI) is often critical to the success of modern business processes. Leveraging it, however, is non-trivial. A major hurdle is communication: discussing system requirements among stakeholders with different backgrounds and goals

Robust Measurements for RF Fingerprinting with Constellation Patterns of Radiated Waveforms

November 20, 2023
Author(s)
Ameya Ramadurgakar, Jake Rezac, Lennart Heijnen, Kate Remley, Dylan Williams, MELINDA PIKET-MAY, Rob Horansky
We introduce a type of RF fingerprint for nondestructive, cellular device identification. The new fingerprinting algorithm, termed Eigenphones, is a data-driven technique based on a singular value decomposition of a user equipment's symbol-constellation

Energy-Efficient Access Point Deployment for Industrial IoT Systems

October 26, 2023
Author(s)
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

Capture and Analysis of Traffic Traces on a Wide-Area NDN Testbed

October 8, 2023
Author(s)
Sankalpa Timilsina, Davide Pesavento, Junxiao Shi, Susmit Shannigrahi, Lotfi Benmohamed
High-quality network traffic measurements from realistic network deployments are crucial to analyze and better understand emerging network technologies for the purpose of maturing them. However, achieving this measurement goal for the Named Data Networking

Industrial Wireless Cyberphysical Systems Performance Using Deep Learning

September 28, 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

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

Broadband Electromagnetic Properties of Engineered Flexible Absorber Materials

August 23, 2023
Author(s)
Luckshitha Suriyasena Liyanage, Connor Smith, Jacob Pawlik, Sarah Evans, Angela Stelson, Chris Long, Nate Orloff, David Arnold, Jim Booth
Flexible and stretchable materials have attracted significant interest for applications in wearable electronics and bioengineering fields. Recent developments also incorporate embedded microwave circuits, components, and systems with engineered flexible
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