干扰对齐是将来自其他发射机的干扰信号对准到同一信号子空间,从而减少对期望信号的干扰的一种传输技术,近年来得到了广泛的关注。本文为K用户多输入多输出(MIMO)干扰信道系统提出了一种协作干扰对齐优化算法。通过对信道的奇异值分解,基于矩阵弦距离,不仅选出一组最好的特征子信道来传输信号,而且还选取一组有利于有用信号远离干扰信号的预编码矩阵,这样,可以最大化减少干扰对有用信号的影响。另外,本文还根据得出的预编码矩阵来计算和优化干扰抑制矩阵。本文算法在没有用迭代的基础上来计算预编码矩阵和干扰抑制矩阵,这样不仅使整个系统的复杂度大大降低,进一步,仿真结果显示容量和能量效率较其他算法有明显改进,这也正是最近受到广泛瞩目的绿色通信所要求的。
Interference alignment is a kind of transmission technique which is able to align the interference from other transmitters into the same channel space. This paper proposes a novel optimized cooperative interference alignment (IA) scheme for a K user Multiple Input Multiple Output (MIMO) M x M interference channel (IC). In order to maximized de- crease the effect of the interference from unwanted transmitters, we will not only choose a group of optimized eigen-ehannels to transport the signals, but also select a group of precoding vectors to leave the desired signal away from interference, which are based on the decomposition of channel and the chord distance of matrix. What is more, we also design the interference mitigation matrix using the optimized precoding matrix. The cooperative algorithm in this paper not use the iterative to get the precoding matrix or the mitigation matrix so that it minimizes the complexity of the whole system. Further, the results of simulation show that it obviously improves both the capacity and the energy efficiency by this optimized algorithm, which al- so accord with the green communication.