Interference management is of paramount importance in heterogeneous massive mimo networks (HetNet). In this paper, an algorithm has been suggested to suppress the interference in large-MIMO HetNets with imperfect channel state information(CSI). The proposed technique controls both the intra-tier and cross-tier interference of the macrocell as well as the small cells. The intra-tier interference of the macrocell as well as the cross-tier interference have been minimized under maximum transmission power and minimum signal to interference and noise ratio (SINR) constraint. The channel estimation error matrix has also been modeled using the joint sparsity property. The precoding algorithm is thus achieved through the application of semi-definite relaxation and block coordinate descent techniques. The intra-tier interference of the small cells are addressed with the aid of the zero forcing scheme. The proposed method has been validated through various simulations which confirm the superiority of the algorithm over its counterparts.

干扰管理在异构大规模 mimo 网络 (HetNet) 中至关重要。在本文中，提出了一种算法来抑制具有不完善信道状态信息（CSI）的大型 MIMO 异构网络中的干扰。所提出的技术控制宏小区和小小区的层内和跨层干扰。在最大发射功率和最小信干噪比（SINR）约束下，宏小区的层内干扰和跨层干扰已被最小化。信道估计误差矩阵也已使用联合稀疏特性建模。因此，预编码算法是通过应用半定松弛和块坐标下降技术来实现的。小小区的层内干扰在迫零方案的帮助下得到解决。所提出的方法已经通过各种模拟得到验证，证实了该算法优于其对应物的优越性。