Research on interference alignment algorithm based on user grouping

Xiaojuan Bai, Hongjuan Zhang
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Abstract

In a multi-cell and multi-user cellular system, the communication quality of users is seriously affected due to the existence of inter-cell interference (ICI) and inter-user interference (IUI).As an interference management technology, interference alignment (IA) can not only eliminate interference, but also greatly improve the degree of freedom of the system, that is, improve the system capacity.This paper proposes a three-cell multi-user grouping interference alignment algorithm,which first groups the users of the three cells,converts the complex interference channel into a simple communication channel,and then eliminates the inter-user interference by transmitting beamforming matrix, and eliminates inter-cell interference by designing the receiving beamforming matrix.When calculating the transmitting beamforming matrix, the multi-matrix connected at the transmitter and solved by the eigenvector.When calculating the receiving beamforming matrix, the receiving beamforming matrix is obtained by using the inverse property of the matrix.Compared with the traditional method of solving the transmitting beamforming matrix and the receiving beamforming matrix, the complexity of the algorithm is greatly reduced.And the simulation shows that the algorithm has a better sum rate than the traditional interference alignment algorithm under the same signal-to-noise ratio (SNR).
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基于用户分组的干扰对准算法研究
在多小区多用户蜂窝系统中,由于小区间干扰(ICI)和用户间干扰(IUI)的存在,严重影响了用户的通信质量。干涉对准(IA)作为一种干扰管理技术,不仅可以消除干扰,而且可以大大提高系统的自由度,即提高系统容量。本文提出了一种三小区多用户分组干扰对准算法,该算法首先对三个小区的用户进行分组,将复杂的干扰信道转换为简单的通信信道,然后通过发射波束形成矩阵消除用户间干扰,通过设计接收波束形成矩阵消除小区间干扰。在计算发射波束形成矩阵时,多矩阵连接在发射机处,用特征向量求解。在计算接收波束形成矩阵时,利用矩阵的逆性质得到接收波束形成矩阵。与传统的求解发射波束形成矩阵和接收波束形成矩阵的方法相比,该算法的复杂度大大降低。仿真结果表明,在信噪比相同的情况下,该算法比传统的干扰对准算法具有更好的和速率。
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