On the performance of interference cancelation in D2D-enabled cellular networks

Device-to-device (D2D) communication underlaying cellular networks is a promising technology to improve network resource utilization. In D2D-enabled cellular networks, the interference among spectrum-sharing links is more severer than that in traditional cellular networks, which motivates the adoption of interference cancellation (IC) techniques at the receivers. However, to date, how IC can affect the performance of D2Denabled cellular networks is still unknown. In this paper, we present an analytical framework for studying the performance of two IC methods, unconditional interference cancellation (UIC) and successive interference cancellation (SIC), in large-scale D2D-enabled cellular networks using the tools from stochastic geometry. To facilitate the interference analysis, we propose the approach of stochastic equivalence of the interference, which converts the two-tier interference (interference from the cellular tier and D2D tier) to an equivalent single-tier interference. Based on the proposed stochastic equivalence models, we derive the general expressions for the successful transmission probabilities of both cellular uplinks and D2D links in the networks where UIC and SIC are respectively applied. We demonstrate how these IC methods affect the network performance by both analytical and numerical results.