Cellular Structuring and Clustering for Distributed Antenna Systems
Cellular Structuring and Clustering for Distributed Antenna Systems
复制标题
分布式天线系统的蜂窝结构和集群
DOI：
10.1109/wpmc52694.2021.9700460
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
F. Adachi
中科院分区：
文献类型：
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作者：
Sijie Xia;Chang Ge;Qiang Chen;F. Adachi
随着移动数据流量不断增长，5G 先进系统不可避免地需要更密集的基站 (BS) 部署和更高的频段。由于高频无线电信号的直线传播特性和有限的信号处理能力，具有集群式多用户多输入多输出（MU-MIMO）的蜂窝结构分布式天线系统被认为是有吸引力的。蜂窝结构和簇结构（每个蜂窝内）极大地影响系统性能。我们提出基于改进的 K 均值的细胞结构和聚类。通过计算机模拟将改进的基于K-means的蜂窝结构与原始的基于K-means和简单平方划分的蜂窝结构在用户容量、用户容量的公平性和MU-MIMO处理的计算复杂度方面进行比较。
Denser deployment of base stations (BSs) and higher frequency bands are inevitable in 5G-advanced systems with ever growing mobile data traffic. Due to the rectilinear propagation nature of high frequency radio signals and the limited signal processing power, cellular structured distributed antenna system with clustered multi-user multi-input multi-output (MU-MIMO) is considered attractive. Cellular structure and cluster structure (in each cell) greatly affect the system performance. We propose modified K-means based cellular structuring and clustering. The modified K-means based cellular structuring is compared by computer simulation with original K-means based one and the simple square division in terms of user capacity, fairness of user capacity and computational complexity of MU-MIMO processing.