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采用传播图论建模方法的Massive MIMO室内场景传播特性

Massive MIMO propagation characteristics in indoor scenario based on propagation graph modeling
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摘要 大规模多天线(Massive MIMO)技术在基站端配置大规模天线阵列,能够大幅度提升数据传输速度和系统容量,实现无线传播信道中的空间和时间资源的最大化利用.有关Massive MIMO无线传播信道的研究,对大规模多天线的应用、系统的设计与部署具有重要意义.本文采用传播图论信道建模的方法,研究Massive MIMO在实际传播信道中的性能表现,既能很好的避免信道实测带来的繁重工作,又能有效反映Massive MIMO的无线信道衰落特性.分别在高频点6GHz和低频点1.472 5GHz对选定的室内传播场景进行了信道建模与仿真,由传播图论建模方法得到了信道冲激响应,并进行参数提取,分别从角度域和时延域分析了大规模多天线系统的信道传播特性,并通过分析信道奇异值扩展的分布,证明了实际传播环境中天线数目增多信道的正交性显著增强. The massive multiple input and multiple output (Massive MIMO ) system, equipped large-scale antenna array in the base station,can greatly improve the data transmission speed and the system capacity and achieve the maximum utilization of the time and great significance for the application of large-scale antenna and the design of the system to re-search the wireless communication channel of the Massive MIMO . In this paper,a eling approach based on propagation graph theory is adopted to study the performance of MassiveMIMO in the actual propagation channel, which is efficient and able to a of practical measurement. For a certain scenario, the channel modeling and simulation is conduc-ted at both 6 GHz and 1.472 5 GHz . The channel impulse response derived from the propagation graph modeling can be further used for parameter extraction. The propagation characteristics of Massive MIMO channel is analyzed from the angle domain, time domain and the singular value decomposition separately.
作者 刘留 刘妍 雷勇 吴钰浩 LIU Liu;LIU Ynn;LEI Yong;WU Yuhao(School of Electronic and Information Engineering,Beijing Jiaotong University,Beijing 100044,China;National Mobile Comimiunications Research Laboratory?Southeast University,Nanjing 210096 ? China)
出处 《北京交通大学学报》 CAS CSCD 北大核心 2018年第2期38-45,共8页 JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金 中央高校基本科研业务费专项资金(2017JBM306) 北京市科技新星计划项目(Z161100004916068) 国家自然科学基金面上项目(61471027) 东南大学移动通信国家重点实验室开放研究基金(2017D01) 北京市自然科学基金(L172030)
关键词 无线通信 大规模多天线 传播图论 信道建模 信道传播特性 奇异值扩展 wireless communication massive multiple input and multiple output propagation graph theory channel modeling channel propagation characteristics singular value decomposition
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