Learning Automata Based Q-Learning for Content Placement in Cooperative Caching

@article{Yang2019LearningAB,
  title={Learning Automata Based Q-Learning for Content Placement in Cooperative Caching},
  author={Zhong Yang and Yuanwei Liu and Yue Chen and Lei Jiao},
  journal={IEEE Transactions on Communications},
  year={2019},
  volume={68},
  pages={3667-3680}
}
An optimization problem of content placement in cooperative caching is formulated, with the aim of maximizing the sum mean opinion score (MOS) of mobile users. Firstly, as user mobility and content popularity have significant impacts on the user experience, a recurrent neural network (RNN) is invoked for user mobility prediction and content popularity prediction. More particularly, practical data collected from GPS-tracker app on smartphones is tackled to test the accuracy of user mobility… 

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