Adaptive Edge Caching based on Popularity and Prediction for Mobile Networks

Abstract

Edge caching in mobile networks can improve users' experience, reduce latency and balance the network traffic load. However, edge caching requires suitable strategies for determining what files to pre-fetch at which cell and at what time. Due to the heterogeneity of users' content preferences and mobility, caching based only on popularity has limitations. Considering that cells located in different places have different predictability, in this paper, we propose an adaptive edge caching algorithm based on content popularity as well as the individual's prediction results to provide an optimal caching strategy, aiming to maximize the cache hit rate with acceptable file replacement cost. A heuri..