Stochastic Modeling of Content-Dependent Scheduling in D2D Cache-Enabled Networks

Abstract

In this work, we aim at characterizing the aver-age success probability of content delivery in cache-equipped device-to-device (D2D) network under content-dependent channel access probability. We adopt retransmissions-upon-decoding-errors in a slotted-Aloha system, and account for the temporal interference correlation. We study the impact of the content-dependent access probabilities on the overall performance of the network. We verify the analytical results of this work via intensive Monte-Carlo simulations.