Abstract:Aiming at the problem of limited performance of the Interference Alignment(IA) algorithm in the multiuser Multiple-Input Multiple-Output(MIMO) interference network, a non-iterative interference alignment algorithm based on clustered is proposed. The algorithm is based on a hierarchical interference processing design. First, the interference from different transmitters is divided into intra-cluster effective interference and inter-cluster invalid interference in the upper layer by interference to signal transmission path ratio. Then, the joint maximum-Signal to Leakage plus Noise Ratio(SLNR) algorithm and the Zero Forcing(ZF) algorithm are utilized in the lower layer to eliminate the interference and finally improve the applicability of the algorithm. Simulation results show that the proposed algorithm has higher system capacity and lower system complexity at high Signal-to-Noise Ratio(SNR) than the existing algorithms when the number of users is large.