Social-Aware Data Caching Mechanism in D2D-Enabled Cellular Networks

In this paper, we investigate the problem of content caching in wireless cellular networks (CN) using device-to-device (D2D) transmission method to reduce subscriber’s download delay. We focus on how to efficiently allocate files to the selected important nodes (INs), and propose a novel approach for minimizing the downloading latency. In particular, we first model the problem of minimizing delay as a matching game. Then we tackle this game by exploiting the popularity of contents as well as users’ social properties to generate the utility functions of two-side players: INs and files. Based on the utility function, the preference lists of cache entities is developed. For solving this game, we design a user-file caching (UFC) algorithm to achieve a stable matching between INs and files. Simulation and analytical results show that the proposed mechanism is capable of offering a better delay performance than benchmarks, e.g., random caching and recent-used-file caching scheme.