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In this paper, we study the performance of large-scale cacheenabled device to device (D2D) networks. The mobile helpers(MHs) and the user equipments(UEs) are modeled as two independent homogeneous Poisson pointprocess (HPPP). The UEs can get file from MHs which are assumed to have caching capabilities within the collaboration distance of D2D transmission. An Aloha type of multimedia delivery protocol is considered, under which the available MHs make independent decisions to launch the transmissions with probability pm. According to stochastic geometry, we derive and analyze the transmission probability of MHs . And then, the coverage probability of the randomly requested files is characterized. Next, we work out the successful content delivery probability of the cache-enabled D2D network. By applying the obtained results of successful content delivery probability, we optimize the probabilistic caching strategy of MHs. Particularly, under the proposed Aloha based multimedia delivery protocol, to maximize the successful content delivery probability of the cache-enabled D2D network, each MH should simply cache the most popular file. Simulations are included to demonstrate our analysis.

Cache-Enabled Device to Device Networks with Aloha Based Multimedia Delivery