基于随机几何理论的流行度匹配边缘缓存策略

Edge caching mechanism for heterogeneous network is one of the reliable technologies to solve the excessive link load of the traditional backhaul mechanism, but the existing caching policies often can not match the popularity of the required data. To solve this problem, a Popularity Matching Caching Policy (PMCP) is proposed in this paper, which can match the corresponding file cache probability according to the popularity parameters to maximize communication reliability and reduce backhaul bandwidth pressure. The plane position of the base station is modeled by stochastic geometry theory. The results of the Monte Carlo simulation show that the proposed caching policy can effectively reduce the backhaul bandwidth pressure, and the reliability of the proposed caching policy is better than the comparison policies.