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.