Outage Analysis of NOMA-HCN Using Repulsive Point Process

Abstract

The current literature characterizes the performance gain achieved by non-orthogonal multiple access (NOMA) using stochastic geometry based on the assumption of Poisson Point Processes (PPP) to model the spatial distribution of base stations. This paper develops an analytical framework to analyze the gain achieved by NOMA in a heterogeneous cellular network (HCN) consisting of a macro base station (MBS) tier and a femto base station (FBS) tier modeled using repulsive point process namely modified hard core point process (MoHCPP). It is observed that modeling NOMA network using MoHCPP approach decreases the outage probability by $ 74.04 \% $ for a cell center user (CCU) and by $48.65 \%$ for a cell edge user (CEU) as compared to NOMA using PPP. This improvement is attributed to decrease in dominant interferers due to thinning process of MoHCPP. It is also observed that with the increase in FBS density the advantage of NOMA with MoHCPP modeling is more for CEU as compared CCU due to additional benefit of dense FBSs for CEU. Hence, it is inferred that high density FBS network with NOMA modeled using MoHCPP proves to be better suited for CEU as compared to PPP modeling. The results for the proposed NOMA with MoHCPP model are also verified using simulations. © 2017 IEEE.