Predict-then-Prefetch Caching Strategy to Enhance QoE in 5G Networks

With the unprecedented traffic demand from various mobile devices, bad quality of experience arises in traditional reactive networks, such as long loading time and frozen in the middle. This paper presents Predict-then-Prefetch caching strategy in 5G networks to improve the quality of experience. This strategy partitions the capacity of the base stations into the proactive cache to prefetch popular content for a sum total maximum of popularity and the reactive one to cache content which is unpopular or whose popularity can’t be forecast inaccurately. It is demonstrated that Predict-then-Prefetch caching strategy has the best proportion of the proactive cache with different percentages of time-related content. Under this best proportion of the circumstances where all content is time-related, this strategy improves hit ratio by 30% and reduces latency by 50% in the architecture of 200M small base stations, which could enhance the quality of experience to a great degree.