首页> 外国专利> 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

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

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.
机译:使用基于增强学习的神经网络的AP设备聚类方法包括:通过使用信道状态信息来确认终端在第一AP设备的小区中的分布的步骤;基于终端的分布,确定与第一AP设备一起能够为小区的特定区域服务的至少一个候选AP设备的步骤;通过使用基于增强学习的神经网络来确定候选AP设备中的至少一个第二AP设备的步骤,其中要考虑第一AP设备的位置,候选AP设备的位置,终端的分布以及信道状态终端的信息作为输入;集群第一AP设备和第二AP设备的步骤。这样,本发明能够向位于小区边界的终端提供高质量的服务。

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