In this paper, we propose to exploit the limited cache packets as side information to cancel incoming interference at the receiver side. We consider a stochastic network where the random locations of base stations and users are modeled using Poisson point processes. Caching schemes to reap both the local caching gain and the interference cancelation gain for the users are developed based on two factors: the densities of different user subsets and the packets cached in the corresponding subsets. The packet loss rate (PLR) is analyzed, which depends on both the cached packets and the channel state information available at the receiver. Theoretical results reveal the tradeoff between caching resource and wireless resource. The performance for different caching schemes is analyzed, and the lowest achievable PLR for the distributed caching is investigated.