通信学报2018，Vol.39Issue(12)：75-81,7.DOI:10.11959/j.issn.1000-436x.2018289
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
于银辉 1周恒 1杨莹 1潘昊 1任嘉鹏1
作者信息
- 1. 吉林大学通信工程学院,吉林 长春 130012
- 折叠
摘要
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
小区分类/交叉熵/大规模多输入多输出/导频污染/导频调度Key words
cell classification/ cross-entropy/ massive MIMO/ pilot contamination/ pilot scheduling分类
信息技术与安全科学引用本文复制引用
于银辉,周恒,杨莹,潘昊,任嘉鹏..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):75-81,7.
