Demand-Aware Cooperative Content Caching in 5G/6G Networks With MEC-Enabled Edges
Tadege Mihretu Ayenew, Dionysis Xenakis, Luis Alonso, Nikos Passas, Lazaros Merakos
Abstract
Today, billions of smart devices are interconnected via wireless networks, leading to large volumes of video contents circulating through the bandwidth-limited backhaul. This causes network performance to deteriorate. As a mitigation mechanism, caching of highly popular contents to network edges is deployed. We propose a cooperative and demand-aware caching strategy, which is modelled using the Separable Assignment Problem, to maximize the cache hit ratio. This problem is solved with a recursive enumeration method, where dynamic programming is used to fill each edge. The extensive application-level evaluations show that the proposed strategy outperforms existing caching policies.