基于相关性的大规模多输入多输出信道随机模型

Yang Liu, Gang Li, Cheng Wang
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摘要

在本文中,信道脉冲响应矩阵(CIRM)可表示为基站(BS)的转向矢量与移动站(MS)的特征基之间耦合的总和。中神分布用于描述转向矢量和特征基之间耦合的衰减。为评估所建模型的性能,进行了广泛的测量。此外,还说明了这一模型的物理意义并分析了其容量。此外,还分析了几种模型的方位功率谱(APS)。最后,模拟并讨论了信道硬化效应。结果表明,与其他 CBSM(即 Weichselberger 模型)相比,所提出的模型能更好地拟合测量结果。此外,提出的模型还能在信道合成的准确性和复杂性之间做出更好的权衡。这种 CIRM 模型可用于未来通信系统设计中的大规模 MIMO 设计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A correlation-based stochastic model for massive MIMO channel
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.
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