论文标题
无细胞大规模MIMO的联合访问点选择和干扰取消
Joint Access Point Selection and Interference Cancellation for Cell-Free Massive MIMO
论文作者
论文摘要
无细胞的大型MIMO是一种非常有前途的方法，可以通过移动大量分布式访问点（AP）来增强网络容量，同时利用简单的匹配过滤和结合光束形成。抑制多用户干扰（MUI）的最小均时误差（MMSE）接收器的最新工作显示出大量的容量增加，但以高计算复杂性和剩余MUI增强的成本为代价。我们提出了一种显着较低的复杂性自适应方法，其中中央加工单元（CPU）在不扩大残余干扰的情况下去除MUI。它通过使用通道估计的可用知识来动态地执行联合过程，以组合每个用户所选最强的AP信号并同时减去干扰估计的总和。我们提供信号干扰加上噪声比率（SINR）和由数值结果支持的复杂性分析，以显示与最新技术相比，该方法的优越性。
Cell-Free Massive MIMO is a highly promising approach to enhance network capacity by moving a large number of distributed access points (AP) closer to mobile users while utilizing simple matched filtering and conjugate beamforming. Recent work using minimum mean-squared-error (MMSE) receiver that suppress multi-user interference (MUI) shows significant capacity increase, but at the cost of high computational complexity and residual MUI enhancement. We propose a significantly lower complexity adaptive approach where central processing unit (CPU) removes MUI without amplifying the residual interference. It does so dynamically by using available knowledge of channel estimates to perform joint process of combining selected strongest AP signals for each user and subtracting the sum of interference estimates from other users at the same time. We provide signalto-interference plus noise-ratio (SINR) and complexity analyses backed by numerical results to show the superiority of this approach compared with the state-of-the-art techniques.
