NIST · ИТ · fe21f5cbbb48a455c3d8
Deep Reinforcement Learning Assisted Beam Tracking and Data Transmission for 5G V2X Networks
Beam tracking is a core issue in 5G vehicle-to-everything (V2X) networks. Specifically, higher beamforming gain is required to compensate for the path loss at higher frequencies, e.g., 5G FR2, to realize high data rate vehicle-to-infrastructure (V2I)
NIST · ИТОфициальный источник · 2023-02-06
{
"title_en": "Deep Reinforcement Learning Assisted Beam Tracking and Data Transmission for 5G V2X Networks",
"designation": "",
"series": "",
"status": "",
"date": "2023-02-06",
"date_original": "February 6, 2023",
"url": "https://www.nist.gov/publications/deep-reinforcement-learning-assisted-beam-tracking-and-data-transmission-5g-v2x",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Junliang Ye , Hamid Gharavi",
"abstract_excerpt_en": "Beam tracking is a core issue in 5G vehicle-to-everything (V2X) networks. Specifically, higher beamforming gain is required to compensate for the path loss at higher frequencies, e.g., 5G FR2, to realize high data rate vehicle-to-infrastructure (V2I)",
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{
"title_en": "Deep Reinforcement Learning Assisted Beam Tracking and Data Transmission for 5G V2X Networks",
"designation": "",
"series": "",
"status": "",
"date": "2023-02-06",
"date_original": "February 6, 2023",
"url": "https://www.nist.gov/publications/deep-reinforcement-learning-assisted-beam-tracking-and-data-transmission-5g-v2x",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Junliang Ye , Hamid Gharavi",
"abstract_excerpt_en": "Beam tracking is a core issue in 5G vehicle-to-everything (V2X) networks. Specifically, higher beamforming gain is required to compensate for the path loss at higher frequencies, e.g., 5G FR2, to realize high data rate vehicle-to-infrastructure (V2I)"
}
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