Double-Layer Collaborative Edge Caching Strategy Based on Popular Content

With the explosive growth of mobile data traffic, backhaul links are facing tremendous pressure from overload. In order to alleviate the backhaul load and reduce latency, cache popular content in advance and store it at the edge of the network, a new content caching model needs to be proposed. This article proposes a double-layer collaborative edge caching strategy, in which edge servers can collaborate with each other, and user devices can also collaborate with each other. Firstly, considering the characteristics of user preferences, predict popular content; Then, the latency and caching cost gain brought by caching content on edge servers and user devices in the collaborative caching domain were analyzed to determine the content caching problem. Finally, the bi level collaboration problem is transformed into a revenue maximization problem, and the average Transmission delay is suboptimal according to the balance between the delay and the cache cost and revenue. The simulation results show that the proposed double-layer collaborative caching strategy improves performance indicators in terms of transmission delay compared to different caching strategies.