A Stochastic Coupling-Based Channel Impulse Response Matrix Model for Massive MEMO Channels

被引:0
|
作者
Dai, Rong [1 ]
Liu, Yang [1 ,2 ]
Wang, Cheng-Xiang [3 ,4 ]
Yu, Yu [5 ]
Guo, Xin [1 ]
机构
[1] Jiangnan Univ, Ministerial Key Lab Adv Control Light Ind Proc, Wuxi 214122, Jiangsu, Peoples R China
[2] Southeast Univ, State Key Lab Millimeter Waves, Nanjing 210096, Peoples R China
[3] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[4] Purple Mt Labs, Nanjing 211111, Jiangsu, Peoples R China
[5] Nanjing Inst Technol, Sch Informat & Commun Engn, Nanjing 211100, Peoples R China
基金
中国国家自然科学基金;
关键词
massive MIMO; channel model; coupling-based; Nakagami distribution; MIMO;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
A novel stochastic channel impulse response matrix (CIRM) model for massive multiple input multiple output (MIMO) channels is proposed in this paper. Under the framework of this proposed model, the CIRM can be modeled as a sum of couplings between the steering vectors at the base station (BS) end and the eigenbases at the mobile station (MS) side. The fading of the coupling between the steering vector and the eigenbase is modeled as Nakagami distribution. Furthermore, the closed form of the capacity is derived based on the proposed framework. Compared with the traditional Weibchselberger model, the proposed model has lower complexity. To validate the proposed model, extensive massive MIMO channel measurements are carried out in an indoor environment The results show that the new model provides a better lit to the measured results than Weibchselberger model. Finally, the closed form and PDF are validated by Monte Carlo realizations of the proposed model. This CIRM model can be used for massive MIMO design in future fifth-generation communication system design.
引用
收藏
页码:602 / 607
页数:6
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