On the Design of Content Transmissions with Recommendation in Wireless Caching Networks

The content recommendation techniques are designed to guide the user preferences and content popularity. However, the impacts of content caching and placement are not considered in the existing schemes, and thus both the user experience and network performance cannot be guaranteed. To solve this problem, the content transmissions with recommendation in wireless content caching networks are studied. First, a joint transmission and recommendation scheme is proposed in wireless content caching networks, which encourage the users to require the cached content objects to fully explore the potential of content caching. Second, to minimize the cost of recommendation and transmission delay, the management of content recommendation lists and resource allocation are jointly optimized by an iterative algorithm, which can approach a stationary solution with low computation complexity. Finally, the simulation results are provided to evaluate the performance of our proposed algorithm.