| 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 |
| DOI：10.3969/J.ISSN.1000-5137.2018.02.012 |
| 分类号:TN929.5 |
| 基金项目:上海市自然科学基金项目（16ZR1424500） |
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| User clustering in downlink of massive MIMO-FBMC system based on undirected interference graph |
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Li Ning, Zhou Xiaoping, Wang Jianan, Li Li, Feng Xiangyun
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The College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China
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| 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. |
| Key words: MIMO-FBMC undirected graph spatial correlation user clustering |
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