Collaborative Caching Optimization on Chunk Based Content in Fog Radio Access Network

Rapid development of smart devices and mobile applications brings about tremendous amount of traffic in mobile wireless access network. For content oriented applications, plenty of network traffic is usually derived from some popular contents that have been requested for multiple times. The traffic load caused by these contents can be alleviated by deploying cache at the edge of the radio access network. How to optimize caching resources and improve hit rate in F-RAN has become a hot research issue. In this paper, a framework called CCF-FRAN is proposed by integrating F-RAN and heterogeneous radio access network. The caching problem is formulated as a cache optimization placement problem to maximize the average hit rate of UEs based on content chunks. A collaborative chunk-based caching optimization algorithm called OA-BCC is presented and solved based on a binary search algorithm with low complexity. The simulation results validate the effectiveness of OA-BCC in term of average hit rate compared with Probability Caching, HPF and Random caching.