Abstract
The ever-increasing user requests for video services have posed a great challenge to the cellular networks, and the emergence of various new services also puts forward higher requirements to the mobile networks. By caching video contents in cache-enabled heterogeneous networks, the delivery delay of content and the stress of backhaul links can be improved conspicuously. However, how to store diverse contents has got much attentions in the past decade. In this paper, considering the time-varying user requests, a hierarchical cooperative caching strategy with user preference is proposed. Firstly, the caching of content is modeled as a delay optimization problem. Secondly, the historical request data is used to predict the user preference, and the singular value decomposition (SVD) model is further used to predict the missing rating data. Thirdly, both the user preference and rating matrix are used to optimize the caching strategy. Finally, the proposed caching strategy is validated using the MovieLens dataset, the results reveal that the proposed strategy improves the delay performance by at least 35.3% compared with the benchmark strategies.
Published Version
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