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AP AP APPARATUS CLUSTERING METHOD USING NEURAL NETWORK BASED ON REINFORCEMENT LEARNING AND COOPERATIVE COMMUNICATIN APPARATUS USING NEURAL NETWORK BASED ON REINFORCEMENT LEARNING
AP AP APPARATUS CLUSTERING METHOD USING NEURAL NETWORK BASED ON REINFORCEMENT LEARNING AND COOPERATIVE COMMUNICATIN APPARATUS USING NEURAL NETWORK BASED ON REINFORCEMENT LEARNING
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机译:AP基于神经网络的基于强化学习的聚类方法和基于神经网络的协作通信基于强化学习的聚类方法
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摘要
An AP device clustering method using a reinforcement learning-based neural network includes: a step of confirming the distribution of terminals in a cell of a first AP device by using channel state information; a step of determining at least one candidate AP device able to be serviced for a specific area of the cell along with the first AP device based on the distribution of the terminals; a step of determining at least one second AP device among candidate AP devices by using a reinforcement learning-based neural network considering a position of the first AP device, a position of the candidate AP device, the distribution of the terminals, and the channel state information of the terminals as input; and a step of clustering the first AP device and second AP device. As such, the present invention is capable of providing a high-quality service to terminals located on the border of a cell.
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