Popularity Prediction based Cache Update Strategy with Age of Information
Tingwei Yao, Fan Jiang, Zidong Chen · 2024
This paper explores the caching problem with popularity prediction in fog radio access networks (F-RANs), which takes into account the Age of Information (AoI). To achieve a higher cache hit rate and a lower delay, we first employ a user-centric popularity prediction strategy to divide users with similar preferences and contextual information into multiple clusters to improve the regional cache hit rate. By updating the latest content according to the normalized content freshness information, the freshness of already cached content can be guaranteed. Moreover, we introduce a weight coefficient that considers both content popularity and freshness. Finally, to further improve the user quality of experience (QoE) and reduce the delay, we optimize the AoI of the requested content by considering the user requesting access probability and the packet arrival rate. Experimental results show that our proposed strategy can effectively improve the cache hit rate and reduce delay compared to existing methods.