多小区 MIMO 网络中一种新的 D2D 通信干扰对齐算法

当多小区MIMO（multiple-input multiple-output）网络中引入D2D（device-to-device）技术后形成D2D-MIMO干扰网络，为解决其干扰问题，提出了一种基于天线数奇偶性的发送端数据流分配方案和基于该方案的干扰对齐（interference alignment，IA）算法。该算法通过最小化基站泄露到非目标用户的信号功率来求解蜂窝链路的预编码矩阵，通过最大化蜂窝用户的信干噪比（signal to interference plus noise ratio，SINR）来求取蜂窝链路的干扰抑制矩阵，进而通过线性干扰对齐消除蜂窝内干扰，并推导了系统的最大自由度（degrees of freedom，DOF）。理论分析和仿真表明，相对于现有算法而言，该算法提高了系统的自由度、频谱效率和能量效率，降低了对天线数的要求，增强了系统的灵活性。

A new interference alignment algorithm for device-to-device communication underlaying multi-cell MIMO networks

Integrate D2D technique into multi-cell MIMO(multiple-input multiple-output) network, a D2D MIMO interference network is constituted. In order to eliminate the interference, a transmitting data streams allocation scheme based on the parity of the antennas number and the corresponding interference alignment algorithm is proposed in this paper. Firstly,this algorithm minimizes the interference power from the base station to non-targeted receivers, in order to design the precoding matrix of cellular link. And then Max-SINR(signal to interference plus noise ratio) criterion will be used to design the cellular link''s interference suppression matrix. Finally, the linear interference alignment can eliminate intra-interference and the Max-DOF(degrees of freedom) of this scheme can be obtained. The theoretical analysis and simulation results verify that, comparing with other interference alignment algorithms, the proposed algorithm improves the scheme''s degrees of freedom, spectrum efficiency and energy efficiency, and reduces the restriction for the number of antennas and enhances the flexibility of the system.