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A Fast Convergence Iterative Interference Alignment Algorithm for Partially Connected MIMO Interference Channel

In this paper, a fast convergence iterative algorithm is proposed to interference alignment (IA) based on a partially connected two-interfering K-users multiple-input and multiple-output (MIMO) interference channel (IC) model. Simulation results show that, the algorithm can obtain the obvious degrees of freedom (DoF) for less than 10 iterations, which performs more better than traditional algorithms in terms of faster convergence and higher DoF performance.