无小区大规模MIMO系统中结合贪婪导频分配的导频功率控制的算法

Pilot Power Control Combined with Greedy Pilot Assignment in Cell-Free Massive MIMO System

  • 摘要: 无小区大规模多输入多输出(multiple-input multiple-output,MIMO) 系统具有广阔的频谱,但是导频训练阶段的导频污染严重影响了系统的性能,因此减少导频污染成为必要。为了减少导频污染,文中提出了一种结合贪婪导频分配的导频功率控制的算法。首先进行贪婪导频分配,此阶段提高了较低性能用户的有限性能。之后在合理的导频分配的基础上,进行导频功率控制,此阶段最小化了所有用户的归一化均方误差的最大值。两个阶段联合导频优化,提高了系统的网络吞吐量。仿真结果表明,文中提出的方法性能明显优于目前的研究所提出的分开优化导频分配和导频功率的方法性能。

     

    Abstract: The cell-free massive multiple-input multiple-output (MIMO) system has a broad spectrum, but the pilot contamination in the pilot training phase seriously affects the performance of the system, so it is necessary to reduce the pilot contamination. In order to reduce pilot contamination, a pilot power control algorithm combined with greedy pilot assignment is proposed. First, greedy pilot assignment is performed. This stage improves the limited performance of lower-performance users. Then, on the basis of reasonable pilot assignment, the pilot power control is performed. This stage minimizes the maximum value of the normalized mean square error of all users. The two-stage joint pilot optimization improves the network throughput of the system. The simulation results show that the performance of the method proposed in the article is significantly better than the performance of the method of separately optimizing pilot allocation and pilot power proposed by current research.

     

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