NIST · ИТ · 556a6c16b070a70c74fc
556a6c16b070a70c74fc · Scheduling Real-time Traffic in Wireless Networks: A Network-aided Offline Reinforcement Learning Approach Scheduling Real-time Traffic in Wireless Networks: A Network-aided Offline Reinforcement Learning Approach
5G and Beyond (B5G) technology promises to offer ultra-reliable low-latency communications (URLLC) services, which opens the door for a wide variety of new real-time applications. Real-time traffic has stringent requirements in terms of latency, and low
NIST · ИТ
Официальный источник · 2023-08-14
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"title_en": "Scheduling Real-time Traffic in Wireless Networks: A Network-aided Offline Reinforcement Learning Approach",
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"date": "2023-08-14",
"date_original": "August 14, 2023",
"url": "https://www.nist.gov/publications/scheduling-real-time-traffic-wireless-networks-network-aided-offline-reinforcement",
"source": "NIST Publications",
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"authors_en": "Tao Zhang , Jialin Wan, Sen Lin, Zhaofeng Zhang, Junshan Zhang",
"abstract_excerpt_en": "5G and Beyond (B5G) technology promises to offer ultra-reliable low-latency communications (URLLC) services, which opens the door for a wide variety of new real-time applications. Real-time traffic has stringent requirements in terms of latency, and low",
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