Small-cell caching mechanism for multi-service providers

The rapid growth of data traffic to mobile devices is now challenging the design of future wireless networks, especially at busy hours. Endowed with content-aware and learning technics, the peak traffic demands in busy hours can be reduced through estimating users' preferences and caching popular files at small cell base stations (SBSs) in idle time. This leads users' downloading served by SBSs directly, avoiding crowded and low-speed backhaul connectivity to the content providers. Because of the heterogeneity among users' preferences and types of contents, how to effectively pre-allocate the contents to SBSs is a kernel issue to be discussed.