Deep learning-based edge caching for multi-cluster heterogeneous networks

© 2019, Springer-Verlag London Ltd., part of Springer Nature. In this work, we consider a time and space evolution cache refreshing in multi-cluster heterogeneous networks. We consider a two-step content placement probability optimization. At the initial complete cache refreshing optimization, the j...

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Bibliographic Details
Main Authors: Jiachen Yang, Jipeng Zhang, Chaofan Ma, Huihui Wang, Juping Zhang, Gan Zheng
Format: Default Article
Published: 2019
Subjects:
Mechanical engineering not elsewhere classified
Artificial intelligence not elsewhere classified
DNN
HetNets
Joint optimization
User cluster
Content placement
Mechanical Engineering not elsewhere classified
Artificial Intelligence and Image Processing
Online Access:https://hdl.handle.net/2134/37821
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