Cluster-Based Joint Resource Allocation with Successive Interference Cancellation for Ultra-Dense Networks

Due to the random deployment and the decreasing coverage of numerous base stations (BSs), the interference, including co-tier interference and cross-tier interference, is increasingly severe in ultra-dense networks (UDNs), which has negative effects on the communication quality. Considering all types of interference, we propose an interference management scheme aiming at maximizing the system capacity by jointly interference graph based clustering algorithm, suboptimal heuristic algorithm and ordered successive interference cancellation (OSIC) detection algorithm for UDNs. The analysis and simulations show that the average capacity and spectral efficiency of the proposed scheme have been improved compared with the optimal femto base stations subchannel allocation (OFBSSA) scheme and cluster-based FBS subchannal allocation (CFBSSA) scheme. The results also verify that the proposed scheme outperforms these two schemes in the following network scenarios: plenty of users located in overlapping region, a great many FBSs located in overlapping region, numerous FBSs and a large amount of users with random distributions, and it owns preponderances in meeting the requirements of 5G communication.