A Cluster-Based Interference Management with Successive Cancellation for UDNs

Abstract

Due to numerous base stations (BSs) being randomly deployed in ultra-dense networks (UDNs), the co-tier interference and cross-tier interference become more and more serious. We propose an interference management scheme based on joint clustering, subchannel allocation and successive cancellation among users for UDN taking all types of interference into consideration. To reduce the co-tier interference, we design a clustering algorithm based on interference graph to divide femto base stations (FBSs) and femto user equipments (FUEs) into FBS clusters and FUE groups respectively. Then a subchannel allocation algorithm is presented for FBS clusters to avoid the cross-tier interference. Moreover, a successive interference cancellation (SIC) detection algorithm is used to abate the interference among users in the same FUE group. Our analysis and simulations show that the proposed scheme outperforms other schemes in terms of system capacity and spectral efficiency in several scenarios. The results also verify that the proposed scheme can not only effectively mitigate the interference, but also have advantages in meeting the requirements of users and improving the network performance.