NIST · ИТ · 90c5830a3a2e8b804882
A Novel Machine Learning Approach to Estimating KPI and PoC for LTE-LAA-based Spectrum Sharing
Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the estimation of key performance indicators (KPIs) and their uncertainties in Long Term Evolution
NIST · ИТОфициальный источник · 2020-06-07
{
"title_en": "A Novel Machine Learning Approach to Estimating KPI and PoC for LTE-LAA-based Spectrum Sharing",
"designation": "",
"series": "",
"status": "",
"date": "2020-06-07",
"date_original": "June 7, 2020",
"url": "https://www.nist.gov/publications/novel-machine-learning-approach-estimating-kpi-and-poc-lte-laa-based-spectrum-sharing",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Somayeh Mosleh , Yao Ma , Jake D. Rezac , Jason B. Coder",
"abstract_excerpt_en": "Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the estimation of key performance indicators (KPIs) and their uncertainties in Long Term Evolution",
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{
"title_en": "A Novel Machine Learning Approach to Estimating KPI and PoC for LTE-LAA-based Spectrum Sharing",
"designation": "",
"series": "",
"status": "",
"date": "2020-06-07",
"date_original": "June 7, 2020",
"url": "https://www.nist.gov/publications/novel-machine-learning-approach-estimating-kpi-and-poc-lte-laa-based-spectrum-sharing",
"source": "NIST Publications",
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"authors_en": "Somayeh Mosleh , Yao Ma , Jake D. Rezac , Jason B. Coder",
"abstract_excerpt_en": "Machine learning (ML) approaches have been extensively exploited to model and to improve wireless communication networks in the past few years. Nonetheless, the estimation of key performance indicators (KPIs) and their uncertainties in Long Term Evolution"
}
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