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AIF: An Artificial Intelligence Framework for Smart Wireless Network Management
发布时间:2021-06-30  点击次数:

发表刊物:IEEE COMMUNICATIONS LETTERS

摘要:To solve the policy optimizing problem in many scenarios of smart wireless network management using a single universal algorithm, this letter proposes a universal learning framework, which is called AI framework based on deep reinforcement learning (DRL). This framework can also solve the problem that the state is painful to design in traditional RL. This AI framework adopts convolutional neural network and recurrent neural network to model the potential spatial features (i.e., location information) and sequential features from the raw wireless signal automatically. These features can be taken

论文类型:文章

第一作者:Gang Cao

文献类型:J

卷号:22

期号:2

页面范围:400-403

ISSN号:1089-7798

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收录刊物:SCI