论文标题
一个新型的大型MIMO梁域通道模型
A Novel Massive MIMO Beam Domain Channel Model
论文作者
论文摘要
本文提出了用于大量多输入多输出(MIMO)通信系统的新型梁域通道模型(BDCM)。首先在提出的模型中假定近场效应和球形波前,这与基于远场效应和平面波前假设的传统BDCM不同。提出的新型BDCM是现有基于几何的随机模型(GBSM)从天线结构域转化为梁域。时空非平稳性也在新型BDCM中建模。此外,研究了两个模型的计算复杂性的比较。基于数值分析,提出的BDCM和现有GBSM之间集群级统计属性的比较表明,两个模型的空间,时间和频率相关属性几乎没有差异。同样,基于模拟,在不同情况下,这两个模型的相干带宽几乎相同。新型BDCM的计算复杂性远低于现有的GBSM。可以观察到,所提出的新型BDCM具有与簇级现有的GBSM相似的统计特性。所提出的BDCM的复杂性较小,因此,与常规GBSM相比,信息理论和信号处理研究更方便。
A novel beam domain channel model (BDCM) for massive multiple-input multiple-output (MIMO) communication systems has been proposed in this paper. The near-field effect and spherical wavefront are firstly assumed in the proposed model, which is different from the conventional BDCM for MIMO based on the far-field effect and plane wavefront assumption. The proposed novel BDCM is the transformation of an existing geometry-based stochastic model (GBSM) from the antenna domain into beam domain. The space-time non-stationarity is also modeled in the novel BDCM. Moreover, the comparison of computational complexity for both models is studied. Based on the numerical analysis, comparison of cluster-level statistical properties between the proposed BDCM and existing GBSM has shown that there exists little difference in the space, time, and frequency correlation properties for two models. Also, based on the simulation, coherence bandwidths of the two models in different scenarios are almost the same. The computational complexity of the novel BDCM is much lower than the existing GBSM. It can be observed that the proposed novel BDCM has similar statistical properties to the existing GBSM at the clusterlevel. The proposed BDCM has less complexity and is therefore more convenient for information theory and signal processing research than the conventional GBSMs.