一种面向ELAA-mMIMO的具有相关NLoS/LoS状态的非平稳信道模型
A Non-Stationary Channel Model with Correlated NLoS/LoS States for ELAA-mMIMO
AI总结：
本文提出一种面向ELAA-mMIMO的含相关NLoS/LoS状态的空间非平稳信道模型，纳入差异化阴影效应，可捕捉几乎所有空间非平稳衰落特性且复杂度低，仿真显示其信道容量随机特性与传统mMIMO差异显著。
摘要：
本文提出了一种新型空间非平稳信道模型，用于配备超大规模孔径阵列（extremely large aperture array，ELAA）的大规模多输入多输出（massive multiple-input multiple-output，mMIMO）的链路级计算机仿真。所提出的信道模型允许用户与服务天线之间存在非视距（non-line-of-sight，NLoS）链路和视距（LoS）链路的混合状态。每条链路的NLoS/LoS状态由一个服从相关伯努利分布的二元随机变量表征，相关性以指数衰减窗口的形式描述。此外，该模型还纳入了在NLoS和LoS状态下存在差异的阴影效应。通过计算机仿真验证，所提模型能够捕捉ELAA-mMIMO信道几乎所有的空间非平稳衰落特性，且实现复杂度较低。基于所提出的信道模型，本文开展了蒙特卡洛仿真以评估ELAA-mMIMO的信道容量。结果表明，由于信道空间非平稳性的存在，ELAA-mMIMO的信道容量与传统mMIMO相比具有显著不同的随机特性。
英文摘要：
In this paper, a novel spatially non-stationary channel model is proposed for link-level computer simulations of massive multiple-input multiple-output (mMIMO) with extremely large aperture array (ELAA). The proposed channel model allows a mix of non-line-of-sight (NLoS) and LoS links between a user and service antennas. The NLoS/LoS state of each link is characterized by a binary random variable, which obeys a correlated Bernoulli distribution. The correlation is described in the form of an exponentially decaying window. In addition, the proposed model incorporates shadowing effects which are non-identical for NLoS and LoS states. It is demonstrated, through computer emulation, that the proposed model can capture almost all spatially non-stationary fading behaviors of the ELAA-mMIMO channel. Moreover, it has a low implementational complexity. With the proposed channel model, Monte-Carlo simulations are carried out to evaluate the channel capacity of ELAA-mMIMO. It is shown that the ELAA-mMIMO channel capacity has considerably different stochastic characteristics from the conventional mMIMO due to the presence of channel spatial non-stationarity.
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