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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