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Search Publications by: Thao T. Nguyen (Fed)

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Displaying 1 - 12 of 12

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

Deep Learning for Path Loss Prediction in the 3.5 GHz CBRS Spectrum Band

May 19, 2022
Author(s)
Thao T. Nguyen, Raied Caromi, Kassem Kallas
In the 3.5 GHz citizen broadband radio service (CBRS) band, accurate path loss prediction is very important to protect the incumbent from harmful interference caused by the lower tier users. Within the current CBRS standards developed by the Wireless

Deep Learning for Radar Signal Detection in the 3.5 GHz CBRS Band

January 20, 2022
Author(s)
Raied Caromi, Alex Lackpour, Kassem Kallas, Thao T. Nguyen
This paper presents a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both simulated and experimental test data. The proposed tools and

Deterministic Move Lists for Federal Incumbent Protection in the CBRS Band

October 13, 2020
Author(s)
Michael R. Souryal, Thao T. Nguyen
The 3.5 GHz citizens broadband radio service (CBRS) band in the U.S. is a key portion of mid- band spectrum shared between commercial operators and existing federal and non-federal incumbents in the band. To protect the federal incumbents from harmful

Effect of Federal Incumbent Activity on CBRS Commercial Service

December 19, 2019
Author(s)
Michael R. Souryal, Thao Nguyen
Federal Communications Commission rules for the 3.5 GHz Citizens Broadband Radio Service permit commercial systems to share 150 MHz of bandwidth with federal and other incumbents. To protect the federal incumbents, a spectrum coordinator---the Spectrum

3.5 GHz Federal Incumbent Protection Algorithms

October 21, 2018
Author(s)
Michael R. Souryal, Thao T. Nguyen, Nickolas J. LaSorte
The current standardized algorithm for U.S. federal incumbent protection in the 3.5 GHz band is sub-optimum in that it moves more commercial transmissions out of the protected channel than necessary, in most cases. This paper proposes a more efficient

3.5 GHz Environmental Sensing Capability Detection Thresholds and Deployment

September 1, 2017
Author(s)
Thao Nguyen, Anirudha Sahoo, Michael R. Souryal, Timothy Hall
Spectrum sharing in the 3.5~GHz band between commercial and government users along U.S. coastal areas depends on an Environmental Sensing Capability (ESC)---that is, a network of radio frequency sensors and a decision system---to detect the presence of

3.5 GHz Environmental Sensing Capability Sensitivity Requirements and Deployment

March 5, 2017
Author(s)
Thao T. Nguyen, Anirudha Sahoo, Michael R. Souryal, Timothy Hall
Spectrum sharing in the 3.5 GHz band between commercial and government users along U.S. coastal areas depends on an Environmental Sensing Capability (ESC), a network of radio frequency sensors and a decision system, to detect the presence of incumbent