Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO

Yinhui YU; Heng ZHOU; Ying YANG; Hao PAN; Jiapeng REN

doi:10.11959/j.issn.1000-436x.2018289

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Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO

Papers | 更新时间：2024-06-05

- Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO
- Journal on Communications Vol. 39, Issue 12, Pages: 75-81(2018)
- 作者机构：
  
  吉林大学通信工程学院，吉林长春 130012
- 作者简介：
- 基金信息：
  
  Science and Technology Department of Jilin Province(No.3D518QU75420)
- DOI：10.11959/j.issn.1000-436x.2018289
  CLC： TP309
- Online First：2018-12，
  
  Published：25 December 2018
- 稿件说明：
移动端阅览
Yinhui YU, Heng ZHOU, Ying YANG, et al. Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO[J]. Journal on Communications, 2018, 39(12): 75-81.
DOI：

Yinhui YU, Heng ZHOU, Ying YANG, et al. Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO[J]. Journal on Communications, 2018, 39(12): 75-81. DOI： 10.11959/j.issn.1000-436x.2018289.

摘要

大规模MIMO系统利用基站端配备大量天线来服务多用户，但受到小区间干扰产生的导频污染影响。针对导频污染设计了一种导频调度方案。导频调度问题属于排列优化问题，在寻找最优解过程中使用贪婪算法时计算复杂度很大，同时为了降低小区间干扰，利用小区分类和交叉熵机制提出了一种新的导频调度方案，以减轻导频污染对系统的影响。仿真结果表明，所提出的算法不仅能够有效提升系统性能，还能降低计算复杂度。

Abstract

The massive MIMO system is equipped with a large number of antennas at the base station to serve many users

but it is affected by the inter-cell interference which called pilot contamination. A pilot scheduling scheme was designed to reduce the effect of pilot contamination. Pilot scheduling problem belongs to the arrangement optimization problem

and the algorithm computational complexity of greedy algorithm to search the optimal solution is greatly. In order to reduce the influence of the interference of the community

a new pilot scheduling schemes was proposed by so this article using cell classification and cross entropy(CE) mechanism to reduce the effect of pilot contamination on the system. The simulation results show that the proposed algorithm can not only improve the performance of the system

but also reduce the computational complexity.

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references

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