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Cognitive Caching at the Edges for Mobile Social Community Networks: A Multi-Agent Deep Reinforcement Learning Approach
2020
IEEE Access
Content caching in the current commercial content delivery networks (CDNs) allows reduction of duplicate traffic and improvement of QoS and QoE but it still suffers from surges of content traffic, network congestion, high mobility of users and dynamic users' content request patterns which may result in high content access latency. With the increasing interest of large companies in providing next-generation mobile edge applications and services that the users can use despite potentially sparse,
doi:10.1109/access.2020.3027707
fatcat:d5oiifmwnjf4roeifsy7oortn4