电信科学 ›› 2023, Vol. 39 ›› Issue (7): 1-10.doi: 10.11959/j.issn.1000-0801.2023120

• 研究与开发 •    下一篇

CF-mMIMO系统中一种基于用户极坐标的低复杂度导频分配算法

郭劭, 潘鹏, 范耀宗   

  1. 杭州电子科技大学通信工程学院,浙江 杭州 310018
  • 修回日期:2023-05-19 出版日期:2023-07-20 发布日期:2023-07-01
  • 作者简介:郭劭(1999- ),男,杭州电子科技大学通信工程学院硕士生,主要研究方向为无线通信系统
    潘鹏(1983- ),男,杭州电子科技大学通信工程学院教授,主要研究方向为MIMO及大规模MIMO预编码和容量分析、多用户检测
    范耀宗(1999- ),男,杭州电子科技大学通信工程学院硕士生,主要研究方向为无线通信系统
  • 基金资助:
    国家自然科学基金资助项目(U1709220)

A low complexity pilot assignment algorithm based on user polar coordinates in CF-mMIMO systems

Shao GUO, Peng PAN, Yaozong FAN   

  1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
  • Revised:2023-05-19 Online:2023-07-20 Published:2023-07-01
  • Supported by:
    The National Natural Science Foundation of China(U1709220)

摘要:

为了减小去蜂窝大规模MIMO系统上行链路的导频污染,提出了一种基于用户极坐标的低复杂度导频分配算法。首先,提出了一种基于高斯加权的密度算法,在系统覆盖区域内寻找一个质心作为极坐标中心点,按每个用户的极坐标角度信息进行导频的预分配,使复用同一导频的用户有较大的概率具有较远的距离。其次,提出一种低复杂度的距离检测算法,以保证任意两个复用同一导频的用户间距大于所设定的阈值。仿真结果表明,所提导频分配算法有效减小了导频污染,提升了系统 95%用户的上行吞吐量,并且能够在性能与复杂度之间获得较好的折中。

关键词: 去蜂窝大规模多输入多输出, 导频分配, 极坐标, 高斯加权, 距离检测

Abstract:

Absrtact: In order to reduce the pilot contamination in the cell-free massive multi-input multi-output (MIMO) system, a low complexity pilot assignment algorithm based on user polar coordinates was proposed.Firstly, a Gaussian weighted density algorithm was proposed to determine a centroid as the polar coordinates center point in the system coverage area, then pre-assigned the pilot in order according to the angular coordinates, so that users who reused the same pilot had a greater probability of having a longer distance, and henced reduce the pilot contamination.A low complexity distance detection algorithm was then proposed to ensure that the user spacing between any two users multiplexing the same pilot was greater than the threshold.The simulation results show that the proposed pilot assignment algorithm effectively reduce pilot contamination, improve the uplink throughput of 95% users of the system, and achieve a good compromise between performance and complexity.

Key words: cell-free massive MIMO, pilot assignment, polar coordinates, Gaussian weighting, distance detection

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