Analysis and Scheduling in a 5G Heterogeneous Content Delivery Network

Caching popular multimedia content constitutes a promising solution to mitigate the congestion in the ultimate potential for 5G networks. Moreover, a three-tier heterogeneous network, where device-to-device pairs, small cells, and macro base stations (BSs) are included, is suggested in 5G wireless networks. In addition, local caching of popular multimedia content for small-cell base stations (SBSs) and user equipment has been considered to decrease the BS transmission cost without requiring high capacity backhaul or access to the core network. Thus, in this paper, we first analyze the numerous relevant performances in this three-tier content delivery network. For the independent Poisson point process and uniform distribution, where there are two regular different SBS assumption modes, we first provide theoretical analysis of the hitting probability in this heterogeneous network in different user request transmission modes based on a stochastic geometry theory. Then, we further propose a novel resource selection and scheduling algorithm satisfying the signal-to-interference-plus-noise ratio and signal-to-interference ratio criteria and the optimal transmission link selections and scheduling strategy for the three-tier heterogeneous network in order to reasonably allocate restricted resources. Finally, the numerical results reveal that the theoretical results are in agreement with the simulation results of the Zipf-distribution caching scheme. Meanwhile, the proposed algorithm performs well compared with the theoretical limit and an increase in the state of the art.