| 基于无向干扰图的大规模多输入多输出滤波器组多载波系统下行链路用户聚类 |
| |
| 引用本文： | 李宁,周小平,王家南,李莉,冯湘云.基于无向干扰图的大规模多输入多输出滤波器组多载波系统下行链路用户聚类[J].上海师范大学学报(自然科学版),2018,47(2):209-213. |
| |
| 作者姓名： | 李宁 周小平 王家南 李莉 冯湘云 |
| |
| 作者单位： | 上海师范大学信息与机电工程学院 |
| |
| 基金项目： | 上海市自然科学基金项目（16ZR1424500） |
| |
| 摘 要： | 提出了一种基于大规模多输入多输出滤波器组多载波(MIMO-FBMC)系统下行链路的用户聚类算法.在用户组数量和用户数量随机的环境下,该算法将用户和用户之间信道向量的相关系数自适应地表示为无向干扰图,边的权重表示为相邻用户之间信道向量干扰强度,然后根据每个图的权重值之和与阈值比较进行分簇,仿真结果表明,在基站(BS)天线数量不同的情况下,该算法性能优于传统的用户分组方法,并降低了算法复杂度,提高了系统总和速率.
|
| 关 键 词： | 多输入多输出滤波器组多载波 无向干扰图 空间相关性 用户分簇 |
| 收稿时间： | 2017/12/18 0:00:00 |
User clustering in downlink of massive MIMO-FBMC system based on undirected interference graph |
| |
| Li Ning,Zhou Xiaoping,Wang Jianan,Li Li and Feng Xiangyun.User clustering in downlink of massive MIMO-FBMC system based on undirected interference graph[J].Journal of Shanghai Normal University(Natural Sciences),2018,47(2):209-213. |
| |
| Authors: | Li Ning Zhou Xiaoping Wang Jianan Li Li and Feng Xiangyun |
| |
| Institution: | The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China,The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China and The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China |
| |
| Abstract: | A user clustering algorithm based on the downlink of large-scale MIMO-FBMC system is proposed.When the number of user groups and the number of users are random,the algorithm adaptively represents the correlation coefficient of the channel vector between users and users as an undirected interference graph,and the weights of edges are expressed as channel vector interference intensity between adjacent users.Then clustering is performed based on the sum of the weights of each graph and the threshold.Finally,the simulation results show that the performance of this algorithm is better than the traditional user grouping method under different number of base station antennas,which reduces the complexity of the algorithm and increases total rate of the system. |
| |
| Keywords: | MIMO-FBMC undirected graph spatial correlation user clustering |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海师范大学学报(自然科学版)》浏览原始摘要信息 |
| 点击此处可从《上海师范大学学报(自然科学版)》下载免费的PDF全文 |
|
