大规模MIMO系统基于小区分类-交叉熵的导频调度算法
Pilot scheduling algorithm based on cell classification-cross entropy for massive MIMO
- 通信学报 2018年39卷第12期 页码：75-81
- 作者机构：
吉林大学通信工程学院，吉林 长春 130012
- 作者简介：
[ "于银辉（1964–），女，吉林长春人，博士，吉林大学教授，主要研究方向为无线通信。" ]
[ "周恒（1993–），男，吉林长春人，吉林大学硕士生，主要研究方向为无线通信。" ]
[ "杨莹（1996–），女，内蒙赤峰人，吉林大学硕士生，主要研究方向为无线通信。" ]
[ "潘昊（1995–），男，河南安阳人，吉林大学硕士生，主要研究方向为无线通信。" ]
[ "任嘉鹏（1995–），男，内蒙古呼和浩特人，吉林大学硕士生，主要研究方向为无线通信。" ]
- 基金信息：吉林省科学技术厅资助项目(No.3D518QU75420)
DOI：10.11959/j.issn.1000-436x.2018289
中图分类号： TP309-
网络首发：2018-12，
纸质出版：2018-12-25
- 稿件说明：
移动端阅览
于银辉, 周恒, 杨莹, 等. 大规模MIMO系统基于小区分类-交叉熵的导频调度算法[J]. 通信学报, 2018,39(12):75-81.
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.
于银辉, 周恒, 杨莹, 等. 大规模MIMO系统基于小区分类-交叉熵的导频调度算法[J]. 通信学报, 2018,39(12):75-81. DOI： 10.11959/j.issn.1000-436x.2018289.
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.
关键词
Keywords
references
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