A Clustering Method Based on the Average Interference Threshold for mMIMO-HetNet

Abstract

The coexistence of conventional macro cells (MCs) and low power small cells (SCs) forms the heterogeneous networks (HetNets), which can significantly improve the capacity of wireless communication systems. However, the inter-cell interference between MCs and SCs due to sharing the same frequency band is always the key problem needed to be solved. In order to improve the sum rate and reduce backhaul link overhead, in this paper, we establish a mMIMO-HetNets model based on position coordinates and propose a threshold-based base station dynamic clustering method (I-Threshold) which is suitable for multi-users according to the average channel interference strength among SCs. We show that clustering facilitates intra-cluster coordination by enabling data exchange and channel training with reasonable backhaul communication within each SC cluster (SCC). The simulation results show that the proposed method has better performance than the existing methods in system sum rate under almost the same backhaul link overhead.