Performance Analysis of D2D Cache Network for Total Hit Probability and Energy Consumption

Device-to-device (D2D) caching network can reduce the backhaul traffic and increase the overall network efficiency. In this paper, we study the total hit probability and energy consumption of the D2D cache network. For the clustering of small cells in the hotspot area, we derive the theoretical performance of the D2D cache network where D2D users reusing downlink cellular resources. The locations of D2D users and base stations follow Matern cluster process (MCP) and homogeneous Poisson point processrespectively. The content popularity distribution obeys the Zipf distribution. First, the coverage probability and average rate of the network are given. Then, when the receiver and the transmitter perform one-to-one caching, the expressions of total hit probability and energy consumption are obtained. Finally, we conduct the simulations to verify the total hit probability and energy consumption, and the impact of different content popularity parameters and D2D distribution densities on network performance is analyzed. As a comparison, we also simulate the performance of the cache network based on the Thomas cluster process model. The results show that MCP model is more suitable for small cell clustering D2D cache network, which can improve the network performance.