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用户设备分类的毫米波异构网络性能研究 被引量:3

Research on Performance of Millimeter-Wave Heterogeneous Networks Based on User Equipment Classification
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摘要 针对多层异构网络中基站簇造成的干扰问题,本文提出了一种对用户设备(user equipment,UE)进行分类建模的方法。首先,将处在通信热点区域的毫米波双层异构网络中密集部署的微微基站、毫微微基站以及UE构建成独立的非齐次泊松簇过程;然后,根据毫米波的特点建立了扇形天线模型和视距球传播模型并给出了簇内和簇间干扰的分布距离;此外,通过干扰的拉普拉斯变换以及信号与干扰加噪声比推导出基于UE分类和无UE分类的下行链路频谱效率解析表达式。仿真结果表明,所提出的基于UE分类方案的性能优于无UE分类方案的性能,显著提升了频谱效率。 In order to solve the interference problem caused by base station clusters in multi-tier heterogeneous networks,this paper proposed a method that accomplished classification and modeling of user equipment(UE).Firstly,pico base stations,femto base stations and user equipment were constructed into independent non-homogeneous Poisson cluster process.And they were densely deployed in the communication hotspot area that consisted of the millimeter-wave two-tier heterogeneous networks;Then,combined with the features of millimeter-wave,the sector antenna model and the Line-of-sight ball propagation model ware established,meanwhile,the distributed distance of intra-clusters and inter-clusters interferences were provided;In addition,the analytical expression of downlink spectral efficiency based on UE classification and non-UE classification were derived by Laplace of interference and signal-to-interference plus noise ratio of UE,respectively.Finally,the simulation results show that the performance about the UE classification scheme surpasses the performance of the non-UE classification scheme,which can significantly improve the spectrum efficiency.
作者 路艺 贾向东 吕亚平 郭艺轩 Lu Yi;Jia Xiangdong;Lv Yaping;Guo Yixuan(College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu 730070, China;Wireless Communication Key Lab of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China)
出处 《信号处理》 CSCD 北大核心 2020年第3期407-414,共8页 Journal of Signal Processing
基金 国家自然科学基金(61861039) 甘肃省科技计划资助:“无人机关键技术研究”(18YF1GA060)。
关键词 毫米波异构网络 托马斯簇过程 路径损耗 频谱效率 millimeter-wave heterogeneous networks Thomas cluster process path loss spectral efficiency
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