Performance analysis of the clustered caching wireless networks considering stochastic geometry approach

Recently, caching of the popularity video files in the caches near to the users has been proposed as a promising way to reduce data traffic. These caches can be considered as the nodes which their transmission ranges are limited but have significant storage capacity and are known as the helper nodes. To evaluate the performance and efficiency of the caches, a suitable model for their distributions should be taken into account. Stochastic geometry is a useful tool for modeling these nodes. In this paper, the helper nodes and users are distributed according to the Poisson point process distribution. However, to manage the interferences and their access to a distributed cache, the helper nodes are clustered. The clusters center are modeled with matern hard core process which its original feature is the creation of nonoverlapping circles. Then, the closed-form expressions are derived for performance metrics of the network such as outage probability, average rate, and simulate the proposed model with monte-carlo method. Based on the simulation of the study, the results demonstrate the validity of the analytical derivations.