Chengqi Xu, J. Cosmas, Yue Zhang, P. Lazaridis, G. Araniti, Z. Zaharis
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引用次数: 2
摘要
本文提出了一种参数化5G蜂窝网络天线阵列的方法，该方法使用K-Mean遗传算法来识别SDMA(空分多址)的用户终端集群，并使用三种改进的传播模型(Hata, Cost 231 Hata和Stanford University Interim (SUI))来确定SINR。仿真结果表明，该设计可以在二维空间中推导出不同频率下三种不同系统的信噪比。本研究为确定3D MIMO网络系统中为用户终端提供最大传输效率和信噪比的最优簇大小、LTE帧大小奠定了基础。
3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems
This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.
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