Stochastic Geometry Interference Model for 5G Heterogeneous Network

Abstract

In order to meet the increasing demand of data rate, the next generation Mobile Communications (5G) are becoming more heterogeneous, irregular and complex. This will lead to more complex interference environment. So the traditional fixed geometry hexagon model is no longer applicable. In order to more accurately evaluate the performance of the 5G heterogeneous network, in this paper, we proposes to analyze a downlink two-tiers heterogeneous cellular network (HCN) based on the stochastic geometry, which considers the inter-layer and intra-layer spatial correlation between the BSs. We present our empirical study on average SINR and average throughput for edge and hotspot areas. By comparing with the traditional fixed geometry hexagon model, the stochastic geometry model is more suitable and accurate for the actual 5G heterogeneous cellular networks.