论文标题

无细胞大型MIMO上行链路的自学习探测器:视线案例

Self-Learning Detector for the Cell-Free Massive MIMO Uplink: The Line-of-Sight Case

论文作者

Interdonato, Giovanni, Frenger, Pål, Larsson, Erik G.

论文摘要

无单元的大量多输入多输出(MIMO)技术中的预编码依赖于对用户(UES)和访问点(AP)之间的通道响应的准确了解。依次获得高质量的通道估计值需要已知的UES和AP对之间的路径损失。这些路径损失可能会迅速变化,尤其是在移动阻塞对象的视线环境中。估计路径损失的困难是飞行员污染,也就是说,同时从不同的UES传播飞行员,这些飞行员​​可能会破坏性地或建设性地增加偶然性地加起来,从而严重影响估计质量(因此最终的性能)。提出了一种估计路径损失的方法,以及随附的飞行员传输方案,它适用于雷利褪色和视线渠道,这可以显着提高基线的最新性能。试验传输方案的显着特征是,在不同的相干块(根据各方已知的预定函数)上,试点在结构相位上进行了相位,以创建可以有效地通过所提出的估计算法来有效利用接收到的飞行员信号的有效统计分布。

The precoding in cell-free massive multiple-input multiple-output (MIMO) technology relies on accurate knowledge of channel responses between users (UEs) and access points (APs). Obtaining high-quality channel estimates in turn requires the path losses between pairs of UEs and APs to be known. These path losses may change rapidly especially in line-of-sight environments with moving blocking objects. A difficulty in the estimation of path losses is pilot contamination, that is, simultaneously transmitted pilots from different UEs that may add up destructively or constructively by chance, seriously affecting the estimation quality (and hence the eventual performance). A method for estimation of path losses, along with an accompanying pilot transmission scheme, is proposed that works for both Rayleigh fading and line-of-sight channels and that significantly improves performance over baseline state-of-the-art. The salient feature of the pilot transmission scheme is that pilots are structurally phase-rotated over different coherence blocks (according to a pre-determined function known to all parties), in order to create an effective statistical distribution of the received pilot signal that can be efficiently exploited by the proposed estimation algorithm.

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