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中文摘要：
干扰对齐作为一种新颖的干扰处理方法，近些年来得到了学术界的广泛关注，其中分布式迭代算法由于实用性好而使得应用前景良好．传统的分布式迭代算法中并未考虑功率分配的问题，其算法性能有进一步提升的空间．为了进一步提高分布式干扰对齐算法的信干噪比性能，提出了一种基于功率分配和干扰对齐的联合迭代优化方法．该算法中通过建模得到多用户MIMO干扰信道的等效信道，根据信道矩阵的迹来计算分配功率，并通过最大化信干噪比的方法来得到预编码矩阵和接收滤波器矩阵．仿真结果表明，该方法与等功率分配算法相比，其平均信干噪比大幅提高，证明了所提方法的优势．
英文摘要：
As a novel interference processing method, interference alignment has been widely concerned by the academic circles in recent years. The distributed iterative algorithm has good application prospects because of its good practicability. The traditional distributed iterative algorithm does not consider the problem of power allocation, and the performance of the proposed algorithm is further enhanced. In order to improve the performance of the distributed interference alignment algorithm, a joint iterative optimization method based on power allocation and interference alignment is proposed in this paper. In this algorithm, the distribution of power is calculated according to the trace of multi-user MIMO equivalent channel matrix, precoding matrix and the receive filter matrix are iterative calculated by maximizing the signal to interference and noise ratio （SINR） method. The simulation results show that the average signal to noise ratio of the proposed method is greatly improved compared with the equal power allocation algorithm, and the advantage of the proposed method is proved.
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