16ef3b7207eb639dd2ab · Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks
Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks
High-quality recordings of radio frequency (RF) emissions from commercial communication hardware in realistic environments are often needed to develop and assess spectrum-sharing technologies and practices, e.g., for training and testing spectrum sensing
{
"title_en": "Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks",
"designation": "",
"series": "",
"status": "",
"date": "2022-02-14",
"date_original": "February 14, 2022",
"url": "https://www.nist.gov/publications/feasibility-modeling-orthogonal-frequency-division-multiplexing-communication-signals",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jack Sklar , Adam Wunderlich",
"abstract_excerpt_en": "High-quality recordings of radio frequency (RF) emissions from commercial communication hardware in realistic environments are often needed to develop and assess spectrum-sharing technologies and practices, e.g., for training and testing spectrum sensing",
"id": "16ef3b7207eb639dd2ab",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Feasibility of Modeling Orthogonal Frequency-Division Multiplexing Communication Signals with Unsupervised Generative Adversarial Networks",
"designation": "",
"series": "",
"status": "",
"date": "2022-02-14",
"date_original": "February 14, 2022",
"url": "https://www.nist.gov/publications/feasibility-modeling-orthogonal-frequency-division-multiplexing-communication-signals",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Jack Sklar , Adam Wunderlich",
"abstract_excerpt_en": "High-quality recordings of radio frequency (RF) emissions from commercial communication hardware in realistic environments are often needed to develop and assess spectrum-sharing technologies and practices, e.g., for training and testing spectrum sensing"
}
],
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}