Impact of Temporally Correlated Nakagami-m Interferers in D2D Cache-Aided Networks

In this paper, we exploit tools from stochastic geometry to characterize the average probability of successful content delivery in a cache-enabled device-to-device (D2D) network under Nakagami-m fading. Specifically, we focus on the impact of temporal interference correlation due to erroneous packets retransmissions. The aggregate network interference is characterized under a slotted Aloha scheme in a homogeneous Poisson field of static interferers. In addition, the effect of different system parameters, such as the content popularity, intensity of devices, and D2D communication range, on the optimal activity pattern of devices is investigated. Theoretical findings of this work have been validated via Monte-Carlo simulations. Finally, we compare the system performance under temporal correlation to the approximate independent interference assumption. Furthermore, this work draws conclusions about several network design insights.