NIST · ИТ · 7f2c4bc52d2446574357
Deep Learning Based Link-Level Abstraction for mmWave Communications
Link abstraction is an efficient way for predicting link-level performance (e.g., whether the receiver successfully receives packets through communication links). It can be used to support system-level simulation and facilitate link adaption. Nonetheless
NIST · ИТОфициальный источник · 2021-11-18
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"title_en": "Deep Learning Based Link-Level Abstraction for mmWave Communications",
"designation": "",
"series": "",
"status": "",
"date": "2021-11-18",
"date_original": "November 18, 2021",
"url": "https://www.nist.gov/publications/deep-learning-based-link-level-abstraction-mmwave-communications",
"source": "NIST Publications",
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"authors_en": "Jian Wang , Neeraj Varshney , Jiayi Zhang , David W. Griffith , Nada T. Golmie",
"abstract_excerpt_en": "Link abstraction is an efficient way for predicting link-level performance (e.g., whether the receiver successfully receives packets through communication links). It can be used to support system-level simulation and facilitate link adaption. Nonetheless",
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{
"title_en": "Deep Learning Based Link-Level Abstraction for mmWave Communications",
"designation": "",
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"date": "2021-11-18",
"date_original": "November 18, 2021",
"url": "https://www.nist.gov/publications/deep-learning-based-link-level-abstraction-mmwave-communications",
"source": "NIST Publications",
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"authors_en": "Jian Wang , Neeraj Varshney , Jiayi Zhang , David W. Griffith , Nada T. Golmie",
"abstract_excerpt_en": "Link abstraction is an efficient way for predicting link-level performance (e.g., whether the receiver successfully receives packets through communication links). It can be used to support system-level simulation and facilitate link adaption. Nonetheless"
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