A correlation-based stochastic model for massive MIMO channel

被引:0
|
作者
Liu, Yang [1 ]
Li, Gang [2 ]
Wang, Chengxiang [1 ,3 ]
机构
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China
[2] Jiangnan Univ, Sch Internet Things Engn, Wuxi 214122, Jiangsu, Peoples R China
[3] Purple Mt Labs, Pervas Commun Res Ctr, Nanjing 211111, Peoples R China
关键词
Correlation; Massive MIMO; Nakagami distribution; Stochastic processes; Couplings; Complexity theory; Antenna arrays; CBSM; channel capacity; channel hardening; channel modeling; massive MIMO;
D O I
10.23919/JCC.ja.2022-0739
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, the channel impulse response matrix (CIRM) can be expressed as a sum of couplings between the steering vectors at the base station (BS) and the eigenbases at the mobile station (MS). Nakagami distribution was used to describe the fading of the coupling between the steering vectors and the eigenbases. Extensive measurements were carried out to evaluate the performance of this proposed model. Furthermore, the physical implications of this model were illustrated and the capacities are analyzed. In addition, the azimuthal power spectrum(APS) of several models was analyzed. Finally, the channel hardening effect was simulated and discussed. Results showed that the proposed model provides a better fit to the measured results than the other CBSM, i.e., Weichselberger model. Moreover, the proposed model can provide better tradeoff between accuracy and complexity in channel synthesis. This CIRM model can be used for massive MIMO design in the future communication system design.
引用
收藏
页码:175 / 187
页数:13
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