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.
翻译:在本文中,提出了一个新的空间上非静止信道模型,用于对大型多投入多输出产出(MSIMO)进行连接级计算机模拟,模拟其巨大孔径阵(ELAA)的大规模多投入多输出(MSIMO)的大规模多输出(MIMO)的计算机模拟。拟议信道模型使用户与服务天线之间的非视线(NLOS)和LOS联系组合起来。每个链接的NLOS/LOS状态的特点是二进式随机变数,该变数符合Bernoulli的比对分布。其相关性以指数衰减窗口的形式描述。此外,拟议模型还包含对NLOS和LOS国家不相同的影子效应。通过计算机模拟显示,拟议模型可以捕捉到几乎全部非静止的LEAA-IMO-IMIMO频道在空间上的反静止变化行为。此外,其执行复杂性也较低。通过拟议频道模型进行蒙特卡洛模拟,以评价ELAA-IMO-MIMO的频道能力。显示,ELA-MIMO频道在传统空间-静止频道上具有相当不同的空间特征特征。