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Updated: Jul 18, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

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用户配对用于基于NOMA的延迟有限的卫星网络,具有深度强化学习

Qianfeng Zhang1,2, Kang An3, Xiaojuan Yan1,4

  • 1Guangxi Key Laboratory of Ocean Engineering Equipment and Technology, Qinzhou 535011, China.

Sensors (Basel, Switzerland)
|August 26, 2023
PubMed
概括

本研究引入了深度强化学习 (DRL) 方法,用于在非直角多重访问 (NOMA) 卫星网络中实现最佳的用户配对. DRL方法提高了资源利用率和性能,以满足各种服务质量 (QoS) 要求.

关键词:
基于NOMA的卫星网络延迟 QoS 的限制.用户配对使用者配对.

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