… CACHING POLICY MAXIMIZING THE MINIMUM CACHE HIT … cache hit rate for consecutive
user demands and finds the probabilistic caching policy that maximizes the minimum cache …

… caching policy by learning user preference and activity level over content popularity. To this
end, we take cache-… user demands are assumed known or learned from historical requests. …

… probabilistic caching policy, where the BSs can cache files … impact of objective and user
behavior on caching policy, in the … utility of every user when downloading from the cache of its …

… caching policy for consecutive user demands in categorized contents. The proposed caching
… for content delivery of all users when individual users request different numbers of contents …

… In [21] a threshold-based policy is derived for caching content in the presence of small …
for accurate predictions of the users demand for content, our algorithm nudges the users …

… particular demand … users have different preferences and caching policies; thus, our goal is
to maximize network utility by designing individual preference-aware caching policies for users…

… Predicting user demand and his mobility pattern allows the network to proceed … caching
policy in which networks jointly considers the user preference and group mobility for the caching …

… In Section III, we address the basic prediction scenario in which each user demand arrives
… In this section, we introduce a simple proactive caching policy for the uniform demand model…

… —Caching at the wireless edge can improve the user … users with contents and can also shape
the user demands. In … caching policy, where each helper independently caches files from a …

… In this paper, we propose a learning based cooperative content caching policy for the MEC
architecture, when the users’ preference is unknown and only the historical content demands …