互信息量最大化和低复杂度的全双工中继网络自干扰消除和干扰对齐算法

A Self-interference Cancellation and Interference Alignment Algorithm for Full-duplex Relay Networks with Maximum Mutual Information and Low Complexity

该文针对多用户全双工中继干扰信道,同时考虑全双工中继自干扰消除及用户端干扰消除问题。首先,提出了基于最大化全局互信息量的自干扰消除和干扰对齐算法,并具体给出了自干扰消除矩阵的具体求解算法和方案。进一步,给出了信号对齐和干扰抑制的可行性条件,并分析了系统的互信息量和所受干扰噪声功率,以及系统的自由度。理论分析和仿真结果显示,与现有的典型全双工中继方案相比,该文算法可以提高系统互信息量和自由度,并有较低误码率;另外,该文算法的中继只需进行简单的功率约束,不需做复杂的信号处理,降低了整个系统的信号处理复杂度。

This paper considers a multi-user full-duplex relay interference channel where self- interference and user interference exist. Firstly, a self-interference cancellation and interference alignment algorithm based on maximum global mutual information is proposed, and then the concrete algorithm and scheme of self-interference cancellation matrix is given. Furthermore, this paper investigates the feasibility conditions of the signal alignment and interference suppression, so as to analyze the mutual information, the interference plus noise power and the degree of freedom of the system. Theoretical analysis and simulation results show that the proposed algorithm can improve the mutual information and the degree of freedom of the system, and reduce the bit error rate compared with the existing typical full-duplex relay scheme. In addition, the relay only needs to do simple power constraints, and it is not necessary to do complex signal processing which reduces the complexity of signal processing for the whole system.