Hierarchical Caching via Deep Reinforcement Learning
ICASSP 2020
Pages: 3532 - 3536
Published: May 4, 2020
Abstract
Wireless and wireline networks, such as Internet, cellular, and content delivery networks are to serve end-user file requests proactively. To this aim, by storing anticipated highly popular files during off-peak periods, and fetching them to end-users during on-peak instances, these networks smoothen out the load fluctuations on the back-haul links. In this context, several practical networks comprise a parent caching node connected to multiple...
Paper Details
Title
Hierarchical Caching via Deep Reinforcement Learning
DOI
Published Date
May 4, 2020
Journal
Pages
3532 - 3536
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