基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法

针对信道状态信息（CSI）存在时延和误差的情况，本文提出了适用于多小区MIMO-BC的基于Bayes估计和数据流间功率分配的联合干扰相位对齐算法.首先，发送端通过Bayes估计获得当前CSI的最佳估计；其次，通过最大化期望信号功率与小区间干扰功率的比值来设计干扰抑制矩阵；而在反向通信时，通过最大化信干比来设计预编码；进一步地，结合注水算法来优化功率分配.最后，采用相位对齐将数据流间的干扰旋转到目标接收数据流的信号空间中，进而增强目标数据流的接收功率.仿真表明，无论是在理想CSI还是时延误差CSI，本文算法较其他算法都有一定的性能优势.

Robust Joint Interference and Phase Alignment Algorithm Based on Bayes Estimation and Power Allocation Among Signal Flows

In the case of the delay and error Channel State Information (CSI),a robust joint interference and phase alignment algorithm based on Bayes estimation and power allocation among signal flows is proposed for multi-cell MIMO-BC.Firstly,the best prediction of the current CSI is obtained through Bayes estimation by the senders.Secondly,interference suppression matrix is designed through maximizing signal to inter-cell interference plus noise ratio in the forward link,and the pre-coding matrix is designed through maximizing SINR in the reverse link.Further,the water-filling power allocation is used to optimize power allocation among signal flows.Finally,the interference among the data flows is rotated into signal space which improves the received power.Under the conditions of the perfect CSI and the delay and error CSI,the simulation results verify that the proposed algorithm improves the performance of system compared with the existing algorithms.