Interference Management in Cache-Enabled Stochastic Networks: A Content Diversity Approach

In wireless networks, the performance is degraded by the intensity of the interference received from concurrent transmissions. Considering a stochastic cache-enabled network where some users have caching ability to store the most popular packets, we propose a novel interference management scheme to eliminate the interference by exploiting the content diversity. First, cache-enabled users can exploit cached packets as side information to cancel the interference. Second, considering that different access points may transmit the same contents to different users simultaneously, they should be regarded as useful signals rather than interference. The performance improvement with these two content diversity schemes is theoretically analyzed in this paper. The probabilities for the interference cancellation case and the signal enhancement case are derived, respectively, followed by the investigation of the signal to interference plus noise ratio improvement with our proposed content diversity schemes. Based on this, the effective content capacity of the system is analyzed. In addition to the simulations to validate the accuracy of the theoretical analysis, the impacts of caching ability and the proposed interference management schemes on the effective content capacity are investigated.