… caching strategies affected by content storage and content … caching strategy based on
node importance and content … for caching, avoiding contents to be monotonically cached in …

… of content-aware user clustering and content caching in … is formulated, aiming at optimally
caching contents at the small cell … First, a clustering algorithm is proposed grouping users with …

… content clustering to determine the content types that users prefer. It is practicable to estimate
the frequency of requests for different content … the computation of the content popularity. …

… the resulting content caching strategy against that of the “least frequently used” (LFU) cache
… This term is identically zero when each content piece is cached in entirety within the cluster …

… caching model needs to be presented. In this work, a video content collaborative caching
strategy in … In this strategy, first, the k-means algorithm is used to cluster the edge servers. Then …

… Based on this, an effective framework for content caching and remote radio heads clustering
was formulated to reduce the network’s interference and offload the traffic of the backhaul …

… we design efficient caching strategies. Since 2009, wireless caching techniques have been
… In the former method, the BS or the cluster center determines how to cache content while in …

… a collaborative caching strategy for the RL-based content downloading algorithm. Specifically,
the vehicles are clustered to improve the efficiency of the content request and content …

… cluster content caching structure is proposed in this paper, which takes full advantages of
distributed caching … the cluster content cache provides a part of required content objects for …

… distribution of each content, and design the caching threshold. By … clustering strategy, we
develop a weighted clustering-based popularity prediction algorithm, which takes the caching …